[ { "path": ".gitignore", "content": "# Don't include these files\nparameters.data\ncaffe.proto\n\n# Xcode\nbuild/\nDerivedData/\n\n# Python\n__pycache__/\n*.py[cod]\n*$py.class\n\n*.pbxuser\n*.mode1v3\n*.mode2v3\n*.perspectivev3\n*.xccheckout\n*.moved-aside\n*.xcuserstate\n\nxcuserdata\n\n!default.pbxuser\n!default.mode1v3\n!default.mode2v3\n!default.perspectivev3\n\nprofile\n*.hmap\n*.ipa\n\n# CocoaPods\nPods/\n!Podfile.lock\n\n# Temporary files\n.DS_Store\n.Trashes\n.Spotlight-V100\n*.swp\n*.lock\n" }, { "path": "README.markdown", "content": "# VGGNet+Metal\n\nThis is the source code that accompanies my blog post [Convolutional neural networks on the iPhone with VGGNet](http://matthijshollemans.com/2016/08/30/vggnet-convolutional-neural-network-iphone/).\n\nThis project shows how to implement the 16-layer VGGNet convolutional neural network for basic image recognition on the iPhone.\n\nVGGNet was a competitor in the [ImageNet ILSVRC-2014](http://image-net.org/challenges/LSVRC/2014/results) image classification competition and scored second place. For more details about VGGNet, see the [project page](http://www.robots.ox.ac.uk/~vgg/research/very_deep/) and the [paper](http://arxiv.org/pdf/1409.1556):\n\n Very Deep Convolutional Networks for Large-Scale Image Recognition\n K. Simonyan, A. Zisserman\n arXiv:1409.1556\n\nThe iPhone app uses the VGGNet version from the [Caffe Model Zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo).\n\n![The demo app](Screenshot.png)\n\n### How to run the app\n\nYou need an iPhone or iPad that supports Metal, running iOS 10 or better. (I have only tested the app on an iPhone 6s.)\n\n**NOTE:** The source code won't run as-is. You need to do the following before you can build the Xcode project:\n\n0 (optional) - If you don't want to set up a local environment for all of below, you can download the coverted file from [here](https://mega.nz/#!fcFyGJBJ!5Zy47jS3xhHP-0CjEVg5CRzx1wF1itnf9AHVdeRBHYk).\n\n1 - Download the [prototxt](https://gist.githubusercontent.com/ksimonyan/211839e770f7b538e2d8/raw/0067c9b32f60362c74f4c445a080beed06b07eb3/VGG_ILSVRC_16_layers_deploy.prototxt) file.\n\n2 - Download the [caffemodel](http://www.robots.ox.ac.uk/~vgg/software/very_deep/caffe/VGG_ILSVRC_16_layers.caffemodel) file.\n\n3 - Run the conversion script from Terminal (requires Python 3 and the numpy and google.protobuf packages):\n\n```\n$ python3 convert_vggnet.py VGG_ILSVRC_16_layers_deploy.prototxt VGG_ILSVRC_16_layers.caffemodel ./output\n```\n\nThis generates the file `./output/parameters.data`. It will take a few minutes! The reason you need to download the caffemodel file and convert it yourself is that `parameters.data` is a 500+ MB file and you can't put those on GitHub.\n\n4 - Copy `parameters.data` into the `VGGNet-iOS/VGGNet` folder. \n\n5 - Now you can build the app in Xcode (version 8.0 or better). You can only build for the device, the simulator isn't supported (gives compiler errors).\n\nThe VGGNet+Metal source code is licensed under the terms of the MIT license.\n" }, { "path": "VGGNet-iOS/VGGNet/AppDelegate.swift", "content": "import UIKit\n\n@UIApplicationMain\nclass AppDelegate: UIResponder, UIApplicationDelegate {\n\n var window: UIWindow?\n\n func application(_ application: UIApplication, didFinishLaunchingWithOptions launchOptions: [UIApplicationLaunchOptionsKey: Any]?) -> Bool {\n // Override point for customization after application launch.\n return true\n }\n\n func applicationWillResignActive(_ application: UIApplication) {\n // Sent when the application is about to move from active to inactive state. This can occur for certain types of temporary interruptions (such as an incoming phone call or SMS message) or when the user quits the application and it begins the transition to the background state.\n // Use this method to pause ongoing tasks, disable timers, and invalidate graphics rendering callbacks. Games should use this method to pause the game.\n }\n\n func applicationDidEnterBackground(_ application: UIApplication) {\n // Use this method to release shared resources, save user data, invalidate timers, and store enough application state information to restore your application to its current state in case it is terminated later.\n // If your application supports background execution, this method is called instead of applicationWillTerminate: when the user quits.\n }\n\n func applicationWillEnterForeground(_ application: UIApplication) {\n // Called as part of the transition from the background to the active state; here you can undo many of the changes made on entering the background.\n }\n\n func applicationDidBecomeActive(_ application: UIApplication) {\n // Restart any tasks that were paused (or not yet started) while the application was inactive. If the application was previously in the background, optionally refresh the user interface.\n }\n\n func applicationWillTerminate(_ application: UIApplication) {\n // Called when the application is about to terminate. Save data if appropriate. See also applicationDidEnterBackground:.\n }\n}\n" }, { "path": "VGGNet-iOS/VGGNet/Assets.xcassets/AppIcon.appiconset/Contents.json", "content": "{\n \"images\" : [\n {\n \"idiom\" : \"iphone\",\n \"size\" : \"20x20\",\n \"scale\" : \"2x\"\n },\n {\n \"idiom\" : \"iphone\",\n \"size\" : \"20x20\",\n \"scale\" : \"3x\"\n },\n {\n \"idiom\" : \"iphone\",\n \"size\" : \"29x29\",\n \"scale\" : \"2x\"\n },\n {\n \"idiom\" : \"iphone\",\n \"size\" : \"29x29\",\n \"scale\" : \"3x\"\n },\n {\n \"idiom\" : \"iphone\",\n \"size\" : \"40x40\",\n \"scale\" : \"2x\"\n },\n {\n \"idiom\" : \"iphone\",\n \"size\" : \"40x40\",\n \"scale\" : \"3x\"\n },\n {\n \"size\" : \"60x60\",\n \"idiom\" : \"iphone\",\n \"filename\" : \"Icon.png\",\n \"scale\" : \"2x\"\n },\n {\n \"size\" : \"60x60\",\n \"idiom\" : \"iphone\",\n \"filename\" : \"Icon-180.png\",\n \"scale\" : \"3x\"\n },\n {\n \"idiom\" : \"ipad\",\n \"size\" : \"20x20\",\n \"scale\" : \"1x\"\n },\n {\n \"idiom\" : \"ipad\",\n \"size\" : \"20x20\",\n \"scale\" : \"2x\"\n },\n {\n \"idiom\" : \"ipad\",\n \"size\" : \"29x29\",\n \"scale\" : \"1x\"\n },\n {\n \"idiom\" : \"ipad\",\n \"size\" : \"29x29\",\n \"scale\" : \"2x\"\n },\n {\n \"idiom\" : \"ipad\",\n \"size\" : \"40x40\",\n \"scale\" : \"1x\"\n },\n {\n \"idiom\" : \"ipad\",\n \"size\" : \"40x40\",\n \"scale\" : \"2x\"\n },\n {\n \"idiom\" : \"ipad\",\n \"size\" : \"76x76\",\n \"scale\" : \"1x\"\n },\n {\n \"size\" : \"76x76\",\n \"idiom\" : \"ipad\",\n \"filename\" : \"Icon-152.png\",\n \"scale\" : \"2x\"\n },\n {\n \"size\" : \"83.5x83.5\",\n \"idiom\" : \"ipad\",\n \"filename\" : \"Icon-167.png\",\n \"scale\" : \"2x\"\n }\n ],\n \"info\" : {\n \"version\" : 1,\n \"author\" : \"xcode\"\n }\n}" }, { "path": "VGGNet-iOS/VGGNet/Base.lproj/Main.storyboard", "content": "\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" }, { "path": "VGGNet-iOS/VGGNet/Info.plist", "content": "\n\n\n\n\tCFBundleDevelopmentRegion\n\ten\n\tCFBundleExecutable\n\t$(EXECUTABLE_NAME)\n\tCFBundleIdentifier\n\t$(PRODUCT_BUNDLE_IDENTIFIER)\n\tCFBundleInfoDictionaryVersion\n\t6.0\n\tCFBundleName\n\t$(PRODUCT_NAME)\n\tCFBundlePackageType\n\tAPPL\n\tCFBundleShortVersionString\n\t1.0\n\tCFBundleVersion\n\t1\n\tLSRequiresIPhoneOS\n\t\n\tNSCameraUsageDescription\n\tPoint the camera at objects and see if the app can recognize them!\n\tUILaunchStoryboardName\n\tMain\n\tUIMainStoryboardFile\n\tMain\n\tUIRequiredDeviceCapabilities\n\t\n\t\tarmv7\n\t\n\tUIStatusBarStyle\n\tUIStatusBarStyleLightContent\n\tUISupportedInterfaceOrientations\n\t\n\t\tUIInterfaceOrientationLandscapeRight\n\t\n\tUISupportedInterfaceOrientations~ipad\n\t\n\t\tUIInterfaceOrientationPortrait\n\t\tUIInterfaceOrientationPortraitUpsideDown\n\t\tUIInterfaceOrientationLandscapeLeft\n\t\tUIInterfaceOrientationLandscapeRight\n\t\n\n\n" }, { "path": "VGGNet-iOS/VGGNet/MPSImage+Floats.swift", "content": "import Accelerate\nimport MetalPerformanceShaders\n\nextension MPSImage {\n /* We receive the predicted output as an MPSImage. For VGGNet, this is a 1x1\n image with 1000 channels, each of which contains one float16 value.\n\n However, this is not a nice 1000-element array in memory. Because Metal is\n a graphics API, MPSImage stores the data in MTLTexture objects. Each pixel\n from the texture stores 4 channels: R contains the first channel, G is the\n second channel, B is the third, A is the first.\n\n This function converts these float16s from the Metal texture to a regular\n Swift array of 1000 Float values so we can use it from Swift. */\n public func toFloatArray() -> [Float] {\n assert(self.pixelFormat == .rgba16Float)\n\n let count = self.width * self.height * self.featureChannels\n var outputFloat16 = [UInt16](repeating: 0, count: count)\n\n let region = MTLRegion(origin: MTLOrigin(x: 0, y: 0, z: 0),\n size: MTLSize(width: self.width, height: self.height, depth: 1))\n\n // Copy the texture data into the outputFloat16 array.\n let numSlices = (self.featureChannels + 3)/4\n for i in 0...size,\n bytesPerImage: 0,\n from: region,\n mipmapLevel: 0,\n slice: i)\n }\n\n // Use vImage to convert the float16 values to regular Swift Floats.\n var outputFloat32 = [Float](repeating: 0, count: count)\n var bufferFloat16 = vImage_Buffer(data: &outputFloat16, height: 1, width: UInt(count), rowBytes: count * 2)\n var bufferFloat32 = vImage_Buffer(data: &outputFloat32, height: 1, width: UInt(count), rowBytes: count * 4)\n\n if vImageConvert_Planar16FtoPlanarF(&bufferFloat16, &bufferFloat32, 0) != kvImageNoError {\n print(\"Error converting float16 to float32\")\n }\n\n return outputFloat32\n }\n}\n" }, { "path": "VGGNet-iOS/VGGNet/Shaders.metal", "content": "#include \n\nusing namespace metal;\n\n/*\n The input texture has four 16-bit floats per pixel, in the range 0.0...1.0.\n This shader function converts those floats to the range -128...127. \n \n The values we subtract from the R/G/B components are the mean R/G/B values\n across the set of images that the neural network was trained on.\n \n The alpha component of outColor is not important, since our MPSImages only\n use the first 3 feature channels.\n\n NOTE: We flip RGB textures to BGR (inColor.x and inColor.z get swapped),\n since the tool that was used to train the network, Caffe, uses images with \n BGR pixels. Therefore outColor.x is always B and outColor.y is always R.\n*/\n\nkernel void adjust_mean_rgb(texture2d inTexture [[texture(0)]],\n texture2d outTexture [[texture(1)]],\n uint2 gid [[thread_position_in_grid]]) {\n half4 inColor = inTexture.read(gid);\n half4 outColor = half4(inColor.z*255.0h - 103.939h, inColor.y*255.0h - 116.779h, inColor.x*255.0h - 123.68h, 0.0h);\n outTexture.write(outColor, gid);\n}\n\nkernel void adjust_mean_bgr(texture2d inTexture [[texture(0)]],\n texture2d outTexture [[texture(1)]],\n uint2 gid [[thread_position_in_grid]]) {\n half4 inColor = inTexture.read(gid);\n half4 outColor = half4(inColor.x*255.0h - 103.939h, inColor.y*255.0h - 116.779h, inColor.z*255.0h - 123.68h, 0.0h);\n outTexture.write(outColor, gid);\n}\n" }, { "path": "VGGNet-iOS/VGGNet/VGGNet.swift", "content": "import MetalPerformanceShaders\nimport QuartzCore\n\n/* Helper functions for creating the layers. */\n\nprivate func makeConv(device: MTLDevice,\n inDepth: Int,\n outDepth: Int,\n weights: UnsafePointer,\n bias: UnsafePointer) -> MPSCNNConvolution {\n\n // After performing the convolution, the layer applies the ReLU activation\n // function. (Note: we could create a single ReLU instance and reuse it for\n // all layers.)\n let relu = MPSCNNNeuronReLU(device: device, a: 0)\n\n // All VGGNet conv layers use a 3x3 kernel with stride 1.\n let desc = MPSCNNConvolutionDescriptor(kernelWidth: 3,\n kernelHeight: 3,\n inputFeatureChannels: inDepth,\n outputFeatureChannels: outDepth,\n neuronFilter: relu)\n desc.strideInPixelsX = 1\n desc.strideInPixelsY = 1\n\n let conv = MPSCNNConvolution(device: device,\n convolutionDescriptor: desc,\n kernelWeights: weights,\n biasTerms: bias,\n flags: MPSCNNConvolutionFlags.none)\n\n // To preserve the width and height between conv layers, VGGNet assumes one\n // pixel of padding around the edges. Metal apparently has no problem reading\n // outside the source image, so we don't have to do anything special here.\n conv.edgeMode = .zero\n\n return conv\n}\n\nprivate func makePool(device: MTLDevice) -> MPSCNNPoolingMax {\n // All pooling layers in VGGNet are max pool, 2x2, stride 2. This chops the\n // width and height of the data volume in half but leaves the depth the same.\n let pool = MPSCNNPoolingMax(device: device,\n kernelWidth: 2,\n kernelHeight: 2,\n strideInPixelsX: 2,\n strideInPixelsY: 2)\n\n // By default the pooling layer with a 2x2 kernel will start at (-1, -1),\n // so change the offset so that it starts at (0, 0).\n pool.offset = MPSOffset(x: 1, y: 1, z: 0)\n return pool\n}\n\nprivate func makeFC(device: MTLDevice,\n inExtent: Int,\n inDepth: Int,\n fanOut: Int,\n weights: UnsafePointer,\n bias: UnsafePointer,\n withRelu: Bool = true) -> MPSCNNFullyConnected {\n\n // The last fully-connected layer does not have a ReLU activation.\n // (Instead it uses a softmax but that is not an MPSCNNNeuron subclass\n // so we cannot apply that as a filter to the layer.)\n let filter: MPSCNNNeuron? = withRelu ? MPSCNNNeuronReLU(device: device, a: 0) : nil\n\n // A fully-connected layer is a special version of a convolutional layer\n // where the kernel size is equal to the width/height of the input volume.\n // The output volume is 1x1xfanOut.\n let desc = MPSCNNConvolutionDescriptor(kernelWidth: inExtent,\n kernelHeight: inExtent,\n inputFeatureChannels: inDepth,\n outputFeatureChannels: fanOut,\n neuronFilter: filter)\n\n let fc = MPSCNNFullyConnected(device: device,\n convolutionDescriptor: desc,\n kernelWeights: weights,\n biasTerms: bias,\n flags: MPSCNNConvolutionFlags.none)\n return fc\n}\n\n/*\n Implements the VGGNet neural network.\n \n Details can be found at http://www.robots.ox.ac.uk/~vgg/research/very_deep/\n and in the paper:\n \n Very Deep Convolutional Networks for Large-Scale Image Recognition\n K. Simonyan, A. Zisserman\n http://arxiv.org/pdf/1409.1556\n\n This is configuration D from the paper:\n \n - Input image is 224 x 224 pixels x 3 color channels (RGB).\n - All convolution kernels are 3x3.\n - All convolution layers use 1-element zero-padding to preserve the width \n and height of the input volume.\n - Convolution is followed by a ReLU.\n - All pooling layers are max-pool, size 2, stride 2. These chop the input\n width and height in half but preserve the depth.\n - The fully-connected layers use a ReLU activation, except for the last one\n which applies the softmax function to produce a probability distribution.\n - Layers fc6 and fc7 have dropout regularization applied (ratio 0.5) during\n training, but we simply ignore this during inference.\n*/\npublic class VGGNet {\n let device: MTLDevice\n let commandQueue: MTLCommandQueue\n\n // The custom compute kernels for preprocessing the input images.\n let pipelineRGB: MTLComputePipelineState\n let pipelineBGR: MTLComputePipelineState\n\n let outputImage: MPSImage\n\n // The neural network expects a 224x224 pixel image. We use a lanczos filter\n // to scale the input image down to these dimensions.\n let lanczos: MPSImageLanczosScale\n\n // After the last layer (fc8), we take the \"softmax\" of each output neuron.\n // This converts the last layer into a 1000-element vector of probabilities,\n // where each element in this vector corresponds to an ImageNet class label.\n let softmax: MPSCNNSoftMax\n\n /* The layers in the network: */\n\n let conv1_1: MPSCNNConvolution // 224x224x3 input, 64 kernels (3x3x3x64 = 1728 weights + 64 bias)\n let conv1_2: MPSCNNConvolution // 224x224x64 input, 64 kernels (3x3x64x64 = 36864 weights + 64 bias)\n let pool1 : MPSCNNPoolingMax // 224x224x64 input -> 112x112x64 output\n\n let conv2_1: MPSCNNConvolution // 112x112x64 input, 128 kernels (3x3x64x128 = 73728 weights + 128 bias)\n let conv2_2: MPSCNNConvolution // 112x112x128 input, 128 kernels (3x3x128x128 = 147456 weights + 128 bias)\n let pool2 : MPSCNNPoolingMax // 112x112x128 input -> 56x56x128 output\n\n let conv3_1: MPSCNNConvolution // 56x56x128 input, 256 kernels (3x3x128x256 = 294912 weights + 256 bias)\n let conv3_2: MPSCNNConvolution // 56x56x256 input, 256 kernels (3x3x256x256 = 589824 weights + 256 bias)\n let conv3_3: MPSCNNConvolution // 56x56x256 input, 256 kernels (3x3x256x256 = 589824 weights + 256 bias)\n let pool3 : MPSCNNPoolingMax // 56x56x256 input -> 28x28x256 output\n\n let conv4_1: MPSCNNConvolution // 28x28x256 input, 512 kernels (3x3x256x512 = 1179648 weights + 512 bias)\n let conv4_2: MPSCNNConvolution // 28x28x512 input, 512 kernels (3x3x512x512 = 2359296 weights + 512 bias)\n let conv4_3: MPSCNNConvolution // 28x28x512 input, 512 kernels (3x3x512x512 = 2359296 weights + 512 bias)\n let pool4 : MPSCNNPoolingMax // 28x28x512 input -> 14x14x512 output\n\n let conv5_1: MPSCNNConvolution // 14x14x512 input, 512 kernels (3x3x512x512 = 2359296 weights + 512 bias)\n let conv5_2: MPSCNNConvolution // 14x14x512 input, 512 kernels (3x3x512x512 = 2359296 weights + 512 bias)\n let conv5_3: MPSCNNConvolution // 14x14x512 input, 512 kernels (3x3x512x512 = 2359296 weights + 512 bias)\n let pool5 : MPSCNNPoolingMax // 14x14x512 input -> 7x7x512 output\n\n let fc6: MPSCNNFullyConnected // 4096 neurons (7x7x512x4096 = 102760448 weights + 4096 bias)\n let fc7: MPSCNNFullyConnected // 4096 neurons (1x1x4096x4096 = 16777216 weights + 4096 bias)\n let fc8: MPSCNNFullyConnected // 1000 neurons (1x1x4096x1000 = 4096000 weights + 1000 bias)\n\n // Total parameters: 138.357.544. (The vast majority of those are in fc6!)\n // We store the weights and bias values as 32-bit floats, making the total\n // filesize 528 MB. Metal copies those values but converts them to 16-bit\n // floats so at runtime the parameters only take about 132 MB memory space.\n\n /* These MPSImage descriptors tell the network about the sizes of the data\n volumes that flow between the layers. */\n\n let input_id = MPSImageDescriptor(channelFormat: .float16, width: 224, height: 224, featureChannels: 3)\n let conv1_id = MPSImageDescriptor(channelFormat: .float16, width: 224, height: 224, featureChannels: 64)\n let pool1_id = MPSImageDescriptor(channelFormat: .float16, width: 112, height: 112, featureChannels: 64)\n let conv2_id = MPSImageDescriptor(channelFormat: .float16, width: 112, height: 112, featureChannels: 128)\n let pool2_id = MPSImageDescriptor(channelFormat: .float16, width: 56, height: 56, featureChannels: 128)\n let conv3_id = MPSImageDescriptor(channelFormat: .float16, width: 56, height: 56, featureChannels: 256)\n let pool3_id = MPSImageDescriptor(channelFormat: .float16, width: 28, height: 28, featureChannels: 256)\n let conv4_id = MPSImageDescriptor(channelFormat: .float16, width: 28, height: 28, featureChannels: 512)\n let pool4_id = MPSImageDescriptor(channelFormat: .float16, width: 14, height: 14, featureChannels: 512)\n let conv5_id = MPSImageDescriptor(channelFormat: .float16, width: 14, height: 14, featureChannels: 512)\n let pool5_id = MPSImageDescriptor(channelFormat: .float16, width: 7, height: 7, featureChannels: 512)\n let fc_id = MPSImageDescriptor(channelFormat: .float16, width: 1, height: 1, featureChannels: 4096)\n let output_id = MPSImageDescriptor(channelFormat: .float16, width: 1, height: 1, featureChannels: 1000)\n\n let labels = VGGNetLabels()\n\n public init(device: MTLDevice) {\n print(\"Setting up neural network...\")\n let startTime = CACurrentMediaTime()\n\n self.device = device\n commandQueue = device.makeCommandQueue()\n\n outputImage = MPSImage(device: device, imageDescriptor: output_id)\n\n // Before we pass an image into the network, we need to adjust its RGB\n // values. This is done with a custom compute kernel. Here we load that\n // kernel (from Shaders.metal) and set up the compute pipeline.\n do {\n let library = device.newDefaultLibrary()!\n let adjust_mean_rgb = library.makeFunction(name: \"adjust_mean_rgb\")\n pipelineRGB = try device.makeComputePipelineState(function: adjust_mean_rgb!)\n\n let adjust_mean_bgr = library.makeFunction(name: \"adjust_mean_bgr\")\n pipelineBGR = try device.makeComputePipelineState(function: adjust_mean_bgr!)\n } catch {\n fatalError(\"Error initializing compute pipeline\")\n }\n\n // Uncomment this to test the network with all zero weights.\n //let blob = VGGNetData()\n\n guard let path = Bundle.main.path(forResource: \"parameters\", ofType: \"data\"),\n let blob = VGGNetData(path: path) else {\n fatalError(\"Error loading network parameters\")\n }\n\n lanczos = MPSImageLanczosScale(device: device)\n\n conv1_1 = makeConv(device: device, inDepth: 3, outDepth: 64, weights: blob.conv1_1_w, bias: blob.conv1_1_b)\n conv1_2 = makeConv(device: device, inDepth: 64, outDepth: 64, weights: blob.conv1_2_w, bias: blob.conv1_2_b)\n pool1 = makePool(device: device)\n\n conv2_1 = makeConv(device: device, inDepth: 64, outDepth: 128, weights: blob.conv2_1_w, bias: blob.conv2_1_b)\n conv2_2 = makeConv(device: device, inDepth: 128, outDepth: 128, weights: blob.conv2_2_w, bias: blob.conv2_2_b)\n pool2 = makePool(device: device)\n\n conv3_1 = makeConv(device: device, inDepth: 128, outDepth: 256, weights: blob.conv3_1_w, bias: blob.conv3_1_b)\n conv3_2 = makeConv(device: device, inDepth: 256, outDepth: 256, weights: blob.conv3_2_w, bias: blob.conv3_2_b)\n conv3_3 = makeConv(device: device, inDepth: 256, outDepth: 256, weights: blob.conv3_3_w, bias: blob.conv3_3_b)\n pool3 = makePool(device: device)\n\n conv4_1 = makeConv(device: device, inDepth: 256, outDepth: 512, weights: blob.conv4_1_w, bias: blob.conv4_1_b)\n conv4_2 = makeConv(device: device, inDepth: 512, outDepth: 512, weights: blob.conv4_2_w, bias: blob.conv4_2_b)\n conv4_3 = makeConv(device: device, inDepth: 512, outDepth: 512, weights: blob.conv4_3_w, bias: blob.conv4_3_b)\n pool4 = makePool(device: device)\n\n conv5_1 = makeConv(device: device, inDepth: 512, outDepth: 512, weights: blob.conv5_1_w, bias: blob.conv5_1_b)\n conv5_2 = makeConv(device: device, inDepth: 512, outDepth: 512, weights: blob.conv5_2_w, bias: blob.conv5_2_b)\n conv5_3 = makeConv(device: device, inDepth: 512, outDepth: 512, weights: blob.conv5_3_w, bias: blob.conv5_3_b)\n pool5 = makePool(device: device)\n\n fc6 = makeFC(device: device, inExtent: 7, inDepth: 512, fanOut: 4096, weights: blob.fc6_w, bias: blob.fc6_b)\n fc7 = makeFC(device: device, inExtent: 1, inDepth: 4096, fanOut: 4096, weights: blob.fc7_w, bias: blob.fc7_b)\n fc8 = makeFC(device: device, inExtent: 1, inDepth: 4096, fanOut: 1000, weights: blob.fc8_w, bias: blob.fc8_b, withRelu: false)\n\n softmax = MPSCNNSoftMax(device: device)\n\n let endTime = CACurrentMediaTime()\n print(\"Elapsed time: \\(endTime - startTime) sec\")\n }\n\n /* Performs the inference step. This takes the input image, converts it into\n the format the network expects, then feeds it into the network. The result\n is a 1000-element vector of probabilities. Returns the 5 ImageNet classes\n with the highest predicted probability values. */\n public func predict(image inputImage: MPSImage, bgr: Bool) -> [Prediction] {\n let startTime = CACurrentMediaTime()\n\n autoreleasepool{\n let commandBuffer = commandQueue.makeCommandBuffer()\n\n // This lets us squeeze some extra speed out of Metal.\n MPSTemporaryImage.prefetchStorage(with: commandBuffer, imageDescriptorList: [\n input_id, conv1_id, pool1_id, conv2_id, pool2_id, conv3_id, pool3_id,\n conv4_id, pool4_id, conv5_id, pool5_id, fc_id, output_id ])\n\n // Scale the input image to 224x224 pixels.\n let img1 = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: input_id)\n lanczos.encode(commandBuffer: commandBuffer, sourceTexture: inputImage.texture, destinationTexture: img1.texture)\n\n let img2 = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: input_id)\n\n // Adjust the RGB values of each pixel to be in the range -128...127\n // by subtracting the \"mean pixel\". If the input texture is RGB, this \n // also swaps the R and B values because the model expects BGR pixels. \n // As far as I can tell there is no MPS shader that can do these things,\n // so we use a custom compute kernel.\n let encoder = commandBuffer.makeComputeCommandEncoder()\n encoder.setComputePipelineState(bgr ? pipelineBGR : pipelineRGB)\n encoder.setTexture(img1.texture, at: 0)\n encoder.setTexture(img2.texture, at: 1)\n let threadsPerGroups = MTLSizeMake(8, 8, 1)\n let threadGroups = MTLSizeMake(img2.texture.width / threadsPerGroups.width,\n img2.texture.height / threadsPerGroups.height, 1)\n encoder.dispatchThreadgroups(threadGroups, threadsPerThreadgroup: threadsPerGroups)\n encoder.endEncoding()\n img1.readCount -= 1 // see MPSTemporaryImage docs why this is needed\n\n // Now we take the output from our custom shader and pass it through the\n // layers of the neural network. For each layer we use a new \"temporary\"\n // MPSImage to hold the results.\n\n let conv1_1_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv1_id)\n conv1_1.encode(commandBuffer: commandBuffer, sourceImage: img2, destinationImage: conv1_1_img)\n\n let conv1_2_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv1_id)\n conv1_2.encode(commandBuffer: commandBuffer, sourceImage: conv1_1_img, destinationImage: conv1_2_img)\n\n let pool1_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: pool1_id)\n pool1.encode(commandBuffer: commandBuffer, sourceImage: conv1_2_img, destinationImage: pool1_img)\n\n let conv2_1_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv2_id)\n conv2_1.encode(commandBuffer: commandBuffer, sourceImage: pool1_img, destinationImage: conv2_1_img)\n\n let conv2_2_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv2_id)\n conv2_2.encode(commandBuffer: commandBuffer, sourceImage: conv2_1_img, destinationImage: conv2_2_img)\n\n let pool2_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: pool2_id)\n pool2.encode(commandBuffer: commandBuffer, sourceImage: conv2_2_img, destinationImage: pool2_img)\n\n let conv3_1_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv3_id)\n conv3_1.encode(commandBuffer: commandBuffer, sourceImage: pool2_img, destinationImage: conv3_1_img)\n\n let conv3_2_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv3_id)\n conv3_2.encode(commandBuffer: commandBuffer, sourceImage: conv3_1_img, destinationImage: conv3_2_img)\n\n let conv3_3_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv3_id)\n conv3_3.encode(commandBuffer: commandBuffer, sourceImage: conv3_2_img, destinationImage: conv3_3_img)\n\n let pool3_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: pool3_id)\n pool3.encode(commandBuffer: commandBuffer, sourceImage: conv3_3_img, destinationImage: pool3_img)\n\n let conv4_1_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv4_id)\n conv4_1.encode(commandBuffer: commandBuffer, sourceImage: pool3_img, destinationImage: conv4_1_img)\n\n let conv4_2_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv4_id)\n conv4_2.encode(commandBuffer: commandBuffer, sourceImage: conv4_1_img, destinationImage: conv4_2_img)\n\n let conv4_3_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv4_id)\n conv4_3.encode(commandBuffer: commandBuffer, sourceImage: conv4_2_img, destinationImage: conv4_3_img)\n\n let pool4_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: pool4_id)\n pool4.encode(commandBuffer: commandBuffer, sourceImage: conv4_3_img, destinationImage: pool4_img)\n\n let conv5_1_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv5_id)\n conv5_1.encode(commandBuffer: commandBuffer, sourceImage: pool4_img, destinationImage: conv5_1_img)\n\n let conv5_2_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv5_id)\n conv5_2.encode(commandBuffer: commandBuffer, sourceImage: conv5_1_img, destinationImage: conv5_2_img)\n\n let conv5_3_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: conv5_id)\n conv5_3.encode(commandBuffer: commandBuffer, sourceImage: conv5_2_img, destinationImage: conv5_3_img)\n\n let pool5_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: pool5_id)\n pool5.encode(commandBuffer: commandBuffer, sourceImage: conv5_3_img, destinationImage: pool5_img)\n\n let fc6_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: fc_id)\n fc6.encode(commandBuffer: commandBuffer, sourceImage: pool5_img, destinationImage: fc6_img)\n\n let fc7_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: fc_id)\n fc7.encode(commandBuffer: commandBuffer, sourceImage: fc6_img, destinationImage: fc7_img)\n\n let fc8_img = MPSTemporaryImage(commandBuffer: commandBuffer, imageDescriptor: output_id)\n fc8.encode(commandBuffer: commandBuffer, sourceImage: fc7_img, destinationImage: fc8_img)\n\n // Finally, apply the softmax function to the output of the last layer.\n // The output image is not an MPSTemporaryImage but a regular MSPImage.\n softmax.encode(commandBuffer: commandBuffer, sourceImage: fc8_img, destinationImage: outputImage)\n\n // Tell the GPU to start and wait until it's done.\n commandBuffer.commit()\n commandBuffer.waitUntilCompleted()\n }\n\n // Convert the texture from outputImage into something we can use from\n // Swift and then find the ImageNet classes with the highest probability.\n let result = self.labels.top5Labels(prediction: self.outputImage.toFloatArray())\n\n let endTime = CACurrentMediaTime()\n print(\"Elapsed time: \\(endTime - startTime) sec\")\n\n return result\n }\n}\n" }, { "path": "VGGNet-iOS/VGGNet/VGGNetData.swift", "content": "import Foundation\n\n/*\n Encapsulates access to the weights that are stored in parameters.data.\n \n We only need to read from the parameters file while the neural network is\n being created. The weights are copied into the network (as 16-bit floats),\n so once the network is set up we no longer need to keep parameters.data\n in memory.\n\n Because this is a huge file, we use mmap() so that not the entire file has\n to be read into memory at once. Deallocating VGGNetData unmaps the file.\n*/\nclass VGGNetData {\n // Size of the data file in bytes.\n let fileSize = 553430176\n\n // These are the offsets in the big blob of data of the weights and biases\n // for each layer. (This code was generated by the convert_vggnet.py script.)\n\n var conv1_1_w: UnsafeMutablePointer { return ptr + 0 }\n var conv1_1_b: UnsafeMutablePointer { return ptr + 1728 }\n var conv1_2_w: UnsafeMutablePointer { return ptr + 1792 }\n var conv1_2_b: UnsafeMutablePointer { return ptr + 38656 }\n var conv2_1_w: UnsafeMutablePointer { return ptr + 38720 }\n var conv2_1_b: UnsafeMutablePointer { return ptr + 112448 }\n var conv2_2_w: UnsafeMutablePointer { return ptr + 112576 }\n var conv2_2_b: UnsafeMutablePointer { return ptr + 260032 }\n var conv3_1_w: UnsafeMutablePointer { return ptr + 260160 }\n var conv3_1_b: UnsafeMutablePointer { return ptr + 555072 }\n var conv3_2_w: UnsafeMutablePointer { return ptr + 555328 }\n var conv3_2_b: UnsafeMutablePointer { return ptr + 1145152 }\n var conv3_3_w: UnsafeMutablePointer { return ptr + 1145408 }\n var conv3_3_b: UnsafeMutablePointer { return ptr + 1735232 }\n var conv4_1_w: UnsafeMutablePointer { return ptr + 1735488 }\n var conv4_1_b: UnsafeMutablePointer { return ptr + 2915136 }\n var conv4_2_w: UnsafeMutablePointer { return ptr + 2915648 }\n var conv4_2_b: UnsafeMutablePointer { return ptr + 5274944 }\n var conv4_3_w: UnsafeMutablePointer { return ptr + 5275456 }\n var conv4_3_b: UnsafeMutablePointer { return ptr + 7634752 }\n var conv5_1_w: UnsafeMutablePointer { return ptr + 7635264 }\n var conv5_1_b: UnsafeMutablePointer { return ptr + 9994560 }\n var conv5_2_w: UnsafeMutablePointer { return ptr + 9995072 }\n var conv5_2_b: UnsafeMutablePointer { return ptr + 12354368 }\n var conv5_3_w: UnsafeMutablePointer { return ptr + 12354880 }\n var conv5_3_b: UnsafeMutablePointer { return ptr + 14714176 }\n var fc6_w: UnsafeMutablePointer { return ptr + 14714688 }\n var fc6_b: UnsafeMutablePointer { return ptr + 117475136 }\n var fc7_w: UnsafeMutablePointer { return ptr + 117479232 }\n var fc7_b: UnsafeMutablePointer { return ptr + 134256448 }\n var fc8_w: UnsafeMutablePointer { return ptr + 134260544 }\n var fc8_b: UnsafeMutablePointer { return ptr + 138356544 }\n\n private var fd: CInt!\n private var hdr: UnsafeMutableRawPointer!\n private var ptr: UnsafeMutablePointer!\n\n /* This is for debugging. Initializing the weights to 0 gives an output of\n 0.000999451, or approx 1/1000 for all classes, which is what you'd expect\n for a softmax classifier. */\n init() {\n let numBytes = fileSize / MemoryLayout.size\n ptr = UnsafeMutablePointer.allocate(capacity: numBytes)\n ptr.initialize(to: 0, count: numBytes)\n }\n\n init?(path: String) {\n fd = open(path, O_RDONLY, S_IRUSR | S_IWUSR | S_IRGRP | S_IWGRP | S_IROTH | S_IWOTH)\n if fd == -1 {\n print(\"Error: failed to open \\\"\\(path)\\\", error = \\(errno)\")\n return nil\n }\n\n hdr = mmap(nil, fileSize, PROT_READ, MAP_FILE | MAP_SHARED, fd, 0)\n if hdr == nil {\n print(\"Error: mmap failed, errno = \\(errno)\")\n return nil\n }\n\n let numBytes = fileSize / MemoryLayout.size\n ptr = hdr.bindMemory(to: Float.self, capacity: numBytes)\n if ptr == UnsafeMutablePointer(bitPattern: -1) {\n print(\"Error: mmap failed, errno = \\(errno)\")\n return nil\n }\n }\n\n deinit{\n print(\"deinit \\(self)\")\n\n if let hdr = hdr {\n let result = munmap(hdr, Int(fileSize))\n assert(result == 0, \"Error: munmap failed, errno = \\(errno)\")\n }\n if let fd = fd {\n close(fd)\n }\n }\n}\n" }, { "path": "VGGNet-iOS/VGGNet/VGGNetLabels.swift", "content": "import Foundation\n\npublic typealias Prediction = (label: String, probability: Float)\n\n/*\n The list of ImageNet label names, loaded from synset_words.txt.\n*/\npublic class VGGNetLabels {\n private var labels = [String](repeating: \"\", count: 1000)\n\n public init() {\n if let path = Bundle.main.path(forResource: \"synset_words\", ofType: \"txt\") {\n for (i, line) in lines(filename: path).enumerated() {\n if i < 1000 {\n // Strip off the WordNet ID (the first 10 characters).\n labels[i] = line.substring(from: line.index(line.startIndex, offsetBy: 10))\n }\n }\n }\n }\n\n private func lines(filename: String) -> [String] {\n do {\n let text = try String(contentsOfFile: filename, encoding: .ascii)\n let lines = text.components(separatedBy: NSCharacterSet.newlines)\n return lines\n } catch {\n fatalError(\"Could not load file: \\(filename)\")\n }\n }\n\n public subscript(i: Int) -> String {\n return labels[i]\n }\n\n /* Returns the labels for the top 5 guesses. */\n public func top5Labels(prediction: [Float]) -> [Prediction] {\n precondition(prediction.count == 1000)\n\n //print(prediction)\n\n // Combine the predicted probabilities and their array indices into a new \n // list, then sort it from greatest probability to smallest. Finally, take\n // the top 5 items and convert them into strings.\n\n typealias tuple = (idx: Int, prob: Float)\n\n return zip(0...1000, prediction)\n .sorted(by: { (a: tuple, b: tuple) -> Bool in a.prob > b.prob })\n .prefix(through: 4)\n .map({ (x: tuple) -> Prediction in (labels[x.idx], x.prob) })\n }\n}\n" }, { "path": "VGGNet-iOS/VGGNet/VideoCapture.swift", "content": "import UIKit\nimport AVFoundation\nimport CoreVideo\nimport Metal\n\npublic protocol VideoCaptureDelegate: class {\n func didCapture(texture: MTLTexture?, previewImage: UIImage?)\n}\n\npublic class VideoCapture: NSObject, AVCapturePhotoCaptureDelegate {\n\n public var previewLayer: AVCaptureVideoPreviewLayer?\n public weak var delegate: VideoCaptureDelegate?\n\n var device: MTLDevice!\n var captureSession: AVCaptureSession!\n\tvar photoOutput: AVCapturePhotoOutput!\n var textureCache: CVMetalTextureCache?\n\n public init(device: MTLDevice) {\n self.device = device\n super.init()\n setUp()\n }\n\n private func setUp() {\n guard CVMetalTextureCacheCreate(kCFAllocatorDefault, nil, device, nil, &textureCache) == kCVReturnSuccess else {\n print(\"Error: Could not create a texture cache\")\n return\n }\n\n captureSession = AVCaptureSession()\n captureSession.beginConfiguration()\n captureSession.sessionPreset = AVCaptureSessionPresetMedium\n\n guard let videoDevice = AVCaptureDevice.defaultDevice(withMediaType: AVMediaTypeVideo) else {\n print(\"Error: no video devices available\")\n return\n }\n\n guard let videoInput = try? AVCaptureDeviceInput(device: videoDevice) else {\n print(\"Error: could not create AVCaptureDeviceInput\")\n return\n }\n\n if captureSession.canAddInput(videoInput) {\n captureSession.addInput(videoInput)\n }\n\n if let previewLayer = AVCaptureVideoPreviewLayer(session: captureSession) {\n previewLayer.videoGravity = AVLayerVideoGravityResizeAspect\n previewLayer.connection?.videoOrientation = .landscapeRight\n self.previewLayer = previewLayer\n }\n\n photoOutput = AVCapturePhotoOutput()\n if captureSession.canAddOutput(photoOutput) {\n captureSession.addOutput(photoOutput)\n }\n\n captureSession.commitConfiguration()\n }\n\n public func start() {\n captureSession.startRunning()\n }\n\n /* Captures a single frame of the camera input. */\n public func captureFrame() {\n let settings = AVCapturePhotoSettings(format: [\n kCVPixelBufferPixelFormatTypeKey as String: NSNumber(value: kCVPixelFormatType_32BGRA)\n ])\n\n settings.previewPhotoFormat = [\n kCVPixelBufferPixelFormatTypeKey as String: settings.availablePreviewPhotoPixelFormatTypes[0],\n kCVPixelBufferWidthKey as String: 480,\n kCVPixelBufferHeightKey as String: 360,\n ]\n\n photoOutput?.capturePhoto(with: settings, delegate: self)\n }\n\n public func capture(_ captureOutput: AVCapturePhotoOutput,\n didFinishProcessingPhotoSampleBuffer photoSampleBuffer: CMSampleBuffer?,\n previewPhotoSampleBuffer: CMSampleBuffer?,\n resolvedSettings: AVCaptureResolvedPhotoSettings,\n bracketSettings: AVCaptureBracketedStillImageSettings?,\n error: Error?) {\n\n var imageTexture: MTLTexture?\n var previewImage: UIImage?\n\n // Convert the photo to a Metal texture.\n if error == nil, let textureCache = textureCache,\n let sampleBuffer = photoSampleBuffer,\n let imageBuffer = CMSampleBufferGetImageBuffer(sampleBuffer) {\n\n let width = CVPixelBufferGetWidth(imageBuffer)\n let height = CVPixelBufferGetHeight(imageBuffer)\n\n var texture: CVMetalTexture?\n CVMetalTextureCacheCreateTextureFromImage(kCFAllocatorDefault, textureCache,\n imageBuffer, nil, .bgra8Unorm, width, height, 0, &texture)\n\n if let texture = texture {\n imageTexture = CVMetalTextureGetTexture(texture)\n }\n }\n\n // Convert the preview to a UIImage and show it on the screen.\n if error == nil, let sampleBuffer = previewPhotoSampleBuffer,\n let imageBuffer = CMSampleBufferGetImageBuffer(sampleBuffer) {\n\n let width = CVPixelBufferGetWidth(imageBuffer)\n let height = CVPixelBufferGetHeight(imageBuffer)\n let rect = CGRect(x: 0, y: 0, width: CGFloat(width), height: CGFloat(height))\n\n let ciImage = CIImage(cvPixelBuffer: imageBuffer)\n let ciContext = CIContext(options: nil)\n if let cgImage = ciContext.createCGImage(ciImage, from: rect) {\n previewImage = UIImage(cgImage: cgImage)\n }\n }\n\n delegate?.didCapture(texture: imageTexture, previewImage: previewImage)\n }\n}\n" }, { "path": "VGGNet-iOS/VGGNet/ViewController.swift", "content": "import UIKit\nimport MetalKit\nimport MetalPerformanceShaders\n\nclass ViewController: UIViewController, VideoCaptureDelegate {\n\n @IBOutlet weak var spinner: UIActivityIndicatorView!\n @IBOutlet weak var spinnerPanel: UIView!\n\n @IBOutlet weak var mainPanel: UIView!\n @IBOutlet weak var cameraView: UIView!\n @IBOutlet weak var button: UIButton!\n @IBOutlet weak var imageView: UIImageView!\n @IBOutlet weak var predictionLabel: UILabel!\n\n private var device: MTLDevice!\n private var videoCapture: VideoCapture!\n private var textureLoader: MTKTextureLoader!\n private var nn: VGGNet!\n\n override func viewDidLoad() {\n super.viewDidLoad()\n\n device = MTLCreateSystemDefaultDevice()\n\n // We use MetalKit's texture loader to create MPSImage objects.\n textureLoader = MTKTextureLoader(device: device)\n\n // Set up the live video feed.\n videoCapture = VideoCapture(device: device)\n videoCapture.delegate = self\n\n if let previewLayer = videoCapture.previewLayer {\n cameraView.layer.addSublayer(previewLayer)\n }\n videoCapture.start()\n\n // Set up the UI.\n button.layer.cornerRadius = 10\n button.layer.borderColor = UIColor(white: 1, alpha: 0.1).cgColor\n button.layer.borderWidth = 1\n predictionLabel.text = \"\"\n\n // Show a message while the neural network is initializing.\n mainPanel.isHidden = true\n spinnerPanel.isHidden = false\n spinner.startAnimating()\n\n createNeuralNetwork {\n // Reveal the main UI for the app.\n self.spinner.stopAnimating()\n self.spinnerPanel.isHidden = true\n self.mainPanel.isHidden = false\n\n // Run the test image through the network. It should find a cat. ;)\n self.predict(imageNamed: \"sophie.jpg\")\n }\n }\n\n // MARK: - Neural network\n\n private func createNeuralNetwork(completion: @escaping () -> Void) {\n // Make sure the current device supports MetalPerformanceShaders.\n guard MPSSupportsMTLDevice(device) else {\n print(\"Error: Metal Performance Shaders not supported on this device\")\n return\n }\n\n // Because it takes a few seconds to load VGGNet's parameters, perform\n // the construction of the neural network in a background thread.\n DispatchQueue.global().async {\n self.nn = VGGNet(device: self.device)\n\n DispatchQueue.main.async(execute: completion)\n }\n }\n\n private func predict(imageNamed filename: String) {\n print(\"Predicting \\(filename)\")\n\n if let texture = self.loadTexture(named: filename),\n let previewImage = UIImage(named: filename) {\n predict(texture: texture, previewImage: previewImage, bgr: false)\n }\n }\n\n private func predict(texture: MTLTexture, previewImage: UIImage, bgr: Bool) {\n // Show a preview of the image.\n imageView.image = previewImage\n button.isEnabled = false\n\n // It takes between 0.25-0.3 seconds to perform a forward pass of the net.\n // VGGNet.predict() blocks until the GPU is ready, so to prevent the app's\n // UI from being blocked we call that method from a background thread.\n DispatchQueue.global().async {\n let inputImage = self.image(from: texture)\n let prediction = self.nn.predict(image: inputImage, bgr: bgr)\n\n DispatchQueue.main.async {\n self.button.isEnabled = true\n self.show(prediction: prediction)\n }\n }\n }\n\n private func show(prediction: [Prediction]) {\n var s: [String] = []\n for (i, pred) in prediction.enumerated() {\n s.append(String(format: \"%d: %@ (%3.2f%%)\", i + 1, pred.label, pred.probability * 100))\n }\n predictionLabel.text = s.joined(separator: \"\\n\")\n }\n\n // MARK: - Loading textures\n\n private func loadTexture(named filename: String) -> MTLTexture? {\n if let url = Bundle.main.url(forResource: filename, withExtension: \"\") {\n return loadTexture(url: url)\n } else {\n print(\"Error: could not find image \\(filename)\")\n return nil\n }\n }\n\n private func loadTexture(url: URL) -> MTLTexture? {\n do {\n // Note: the SRGB option should be set to false, otherwise the image\n // appears way too dark, since it wasn't actually saved as SRGB.\n return try textureLoader.newTexture(withContentsOf: url, options: [\n MTKTextureLoaderOptionSRGB : NSNumber(value: false)\n ])\n } catch {\n print(\"Error: could not load texture \\(error)\")\n return nil\n }\n }\n\n private func image(from texture: MTLTexture) -> MPSImage {\n // We set featureChannels to 3 because the neural network is only trained\n // on RGB data (the first 3 channels), not alpha (the 4th channel).\n return MPSImage(texture: texture, featureChannels: 3)\n }\n\n // MARK: - Video capture\n\n @IBAction func buttonTapped(_ sender: UIButton) {\n videoCapture.captureFrame()\n }\n\n func didCapture(texture: MTLTexture?, previewImage: UIImage?) {\n if let texture = texture, let previewImage = previewImage {\n predict(texture: texture, previewImage: previewImage, bgr: false)\n } else {\n imageView.image = nil\n }\n }\n\n // MARK: - UI stuff\n\n override func viewWillLayoutSubviews() {\n super.viewWillLayoutSubviews()\n videoCapture.previewLayer?.frame = cameraView.bounds\n }\n\n override func didReceiveMemoryWarning() {\n super.didReceiveMemoryWarning()\n print(#function)\n }\n\n override var preferredStatusBarStyle: UIStatusBarStyle {\n return .lightContent\n }\n}\n" }, { "path": "VGGNet-iOS/VGGNet/synset_words.txt", "content": "n01440764 tench, Tinca tinca\nn01443537 goldfish, Carassius auratus\nn01484850 great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias\nn01491361 tiger shark, Galeocerdo cuvieri\nn01494475 hammerhead, hammerhead shark\nn01496331 electric ray, crampfish, numbfish, torpedo\nn01498041 stingray\nn01514668 cock\nn01514859 hen\nn01518878 ostrich, Struthio camelus\nn01530575 brambling, Fringilla montifringilla\nn01531178 goldfinch, Carduelis carduelis\nn01532829 house finch, linnet, Carpodacus mexicanus\nn01534433 junco, snowbird\nn01537544 indigo bunting, indigo finch, indigo bird, Passerina cyanea\nn01558993 robin, American robin, Turdus migratorius\nn01560419 bulbul\nn01580077 jay\nn01582220 magpie\nn01592084 chickadee\nn01601694 water ouzel, dipper\nn01608432 kite\nn01614925 bald eagle, American eagle, Haliaeetus leucocephalus\nn01616318 vulture\nn01622779 great grey owl, great gray owl, Strix nebulosa\nn01629819 European fire salamander, Salamandra salamandra\nn01630670 common newt, Triturus vulgaris\nn01631663 eft\nn01632458 spotted salamander, Ambystoma maculatum\nn01632777 axolotl, mud puppy, Ambystoma mexicanum\nn01641577 bullfrog, Rana catesbeiana\nn01644373 tree frog, tree-frog\nn01644900 tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui\nn01664065 loggerhead, loggerhead turtle, Caretta caretta\nn01665541 leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea\nn01667114 mud turtle\nn01667778 terrapin\nn01669191 box turtle, box tortoise\nn01675722 banded gecko\nn01677366 common iguana, iguana, Iguana iguana\nn01682714 American chameleon, anole, Anolis carolinensis\nn01685808 whiptail, whiptail lizard\nn01687978 agama\nn01688243 frilled lizard, Chlamydosaurus kingi\nn01689811 alligator lizard\nn01692333 Gila monster, Heloderma suspectum\nn01693334 green lizard, Lacerta viridis\nn01694178 African chameleon, Chamaeleo chamaeleon\nn01695060 Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis\nn01697457 African crocodile, Nile crocodile, Crocodylus niloticus\nn01698640 American alligator, Alligator mississipiensis\nn01704323 triceratops\nn01728572 thunder snake, worm snake, Carphophis amoenus\nn01728920 ringneck snake, ring-necked snake, ring snake\nn01729322 hognose snake, puff adder, sand viper\nn01729977 green snake, grass snake\nn01734418 king snake, kingsnake\nn01735189 garter snake, grass snake\nn01737021 water snake\nn01739381 vine snake\nn01740131 night snake, Hypsiglena torquata\nn01742172 boa constrictor, Constrictor constrictor\nn01744401 rock python, rock snake, Python sebae\nn01748264 Indian cobra, Naja naja\nn01749939 green mamba\nn01751748 sea snake\nn01753488 horned viper, cerastes, sand viper, horned asp, Cerastes cornutus\nn01755581 diamondback, diamondback rattlesnake, Crotalus adamanteus\nn01756291 sidewinder, horned rattlesnake, Crotalus cerastes\nn01768244 trilobite\nn01770081 harvestman, daddy longlegs, Phalangium opilio\nn01770393 scorpion\nn01773157 black and gold garden spider, Argiope aurantia\nn01773549 barn spider, Araneus cavaticus\nn01773797 garden spider, Aranea diademata\nn01774384 black widow, Latrodectus mactans\nn01774750 tarantula\nn01775062 wolf spider, hunting spider\nn01776313 tick\nn01784675 centipede\nn01795545 black grouse\nn01796340 ptarmigan\nn01797886 ruffed grouse, partridge, Bonasa umbellus\nn01798484 prairie chicken, prairie grouse, prairie fowl\nn01806143 peacock\nn01806567 quail\nn01807496 partridge\nn01817953 African grey, African gray, Psittacus erithacus\nn01818515 macaw\nn01819313 sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita\nn01820546 lorikeet\nn01824575 coucal\nn01828970 bee eater\nn01829413 hornbill\nn01833805 hummingbird\nn01843065 jacamar\nn01843383 toucan\nn01847000 drake\nn01855032 red-breasted merganser, Mergus serrator\nn01855672 goose\nn01860187 black swan, Cygnus atratus\nn01871265 tusker\nn01872401 echidna, spiny anteater, anteater\nn01873310 platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus\nn01877812 wallaby, brush kangaroo\nn01882714 koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus\nn01883070 wombat\nn01910747 jellyfish\nn01914609 sea anemone, anemone\nn01917289 brain coral\nn01924916 flatworm, platyhelminth\nn01930112 nematode, nematode worm, roundworm\nn01943899 conch\nn01944390 snail\nn01945685 slug\nn01950731 sea slug, nudibranch\nn01955084 chiton, coat-of-mail shell, sea cradle, polyplacophore\nn01968897 chambered nautilus, pearly nautilus, nautilus\nn01978287 Dungeness crab, Cancer magister\nn01978455 rock crab, Cancer irroratus\nn01980166 fiddler crab\nn01981276 king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica\nn01983481 American lobster, Northern lobster, Maine lobster, Homarus americanus\nn01984695 spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish\nn01985128 crayfish, crawfish, crawdad, crawdaddy\nn01986214 hermit crab\nn01990800 isopod\nn02002556 white stork, Ciconia ciconia\nn02002724 black stork, Ciconia nigra\nn02006656 spoonbill\nn02007558 flamingo\nn02009229 little blue heron, Egretta caerulea\nn02009912 American egret, great white heron, Egretta albus\nn02011460 bittern\nn02012849 crane\nn02013706 limpkin, Aramus pictus\nn02017213 European gallinule, Porphyrio porphyrio\nn02018207 American coot, marsh hen, mud hen, water hen, Fulica americana\nn02018795 bustard\nn02025239 ruddy turnstone, Arenaria interpres\nn02027492 red-backed sandpiper, dunlin, Erolia alpina\nn02028035 redshank, Tringa totanus\nn02033041 dowitcher\nn02037110 oystercatcher, oyster catcher\nn02051845 pelican\nn02056570 king penguin, Aptenodytes patagonica\nn02058221 albatross, mollymawk\nn02066245 grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus\nn02071294 killer whale, killer, orca, grampus, sea wolf, Orcinus orca\nn02074367 dugong, Dugong dugon\nn02077923 sea lion\nn02085620 Chihuahua\nn02085782 Japanese spaniel\nn02085936 Maltese dog, Maltese terrier, Maltese\nn02086079 Pekinese, Pekingese, Peke\nn02086240 Shih-Tzu\nn02086646 Blenheim spaniel\nn02086910 papillon\nn02087046 toy terrier\nn02087394 Rhodesian ridgeback\nn02088094 Afghan hound, Afghan\nn02088238 basset, basset hound\nn02088364 beagle\nn02088466 bloodhound, sleuthhound\nn02088632 bluetick\nn02089078 black-and-tan coonhound\nn02089867 Walker hound, Walker foxhound\nn02089973 English foxhound\nn02090379 redbone\nn02090622 borzoi, Russian wolfhound\nn02090721 Irish wolfhound\nn02091032 Italian greyhound\nn02091134 whippet\nn02091244 Ibizan hound, Ibizan Podenco\nn02091467 Norwegian elkhound, elkhound\nn02091635 otterhound, otter hound\nn02091831 Saluki, gazelle hound\nn02092002 Scottish deerhound, deerhound\nn02092339 Weimaraner\nn02093256 Staffordshire bullterrier, Staffordshire bull terrier\nn02093428 American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier\nn02093647 Bedlington terrier\nn02093754 Border terrier\nn02093859 Kerry blue terrier\nn02093991 Irish terrier\nn02094114 Norfolk terrier\nn02094258 Norwich terrier\nn02094433 Yorkshire terrier\nn02095314 wire-haired fox terrier\nn02095570 Lakeland terrier\nn02095889 Sealyham terrier, Sealyham\nn02096051 Airedale, Airedale terrier\nn02096177 cairn, cairn terrier\nn02096294 Australian terrier\nn02096437 Dandie Dinmont, Dandie Dinmont terrier\nn02096585 Boston bull, Boston terrier\nn02097047 miniature schnauzer\nn02097130 giant schnauzer\nn02097209 standard schnauzer\nn02097298 Scotch terrier, Scottish terrier, Scottie\nn02097474 Tibetan terrier, chrysanthemum dog\nn02097658 silky terrier, Sydney silky\nn02098105 soft-coated wheaten terrier\nn02098286 West Highland white terrier\nn02098413 Lhasa, Lhasa apso\nn02099267 flat-coated retriever\nn02099429 curly-coated retriever\nn02099601 golden retriever\nn02099712 Labrador retriever\nn02099849 Chesapeake Bay retriever\nn02100236 German short-haired pointer\nn02100583 vizsla, Hungarian pointer\nn02100735 English setter\nn02100877 Irish setter, red setter\nn02101006 Gordon setter\nn02101388 Brittany spaniel\nn02101556 clumber, clumber spaniel\nn02102040 English springer, English springer spaniel\nn02102177 Welsh springer spaniel\nn02102318 cocker spaniel, English cocker spaniel, cocker\nn02102480 Sussex spaniel\nn02102973 Irish water spaniel\nn02104029 kuvasz\nn02104365 schipperke\nn02105056 groenendael\nn02105162 malinois\nn02105251 briard\nn02105412 kelpie\nn02105505 komondor\nn02105641 Old English sheepdog, bobtail\nn02105855 Shetland sheepdog, Shetland sheep dog, Shetland\nn02106030 collie\nn02106166 Border collie\nn02106382 Bouvier des Flandres, Bouviers des Flandres\nn02106550 Rottweiler\nn02106662 German shepherd, German shepherd dog, German police dog, alsatian\nn02107142 Doberman, Doberman pinscher\nn02107312 miniature pinscher\nn02107574 Greater Swiss Mountain dog\nn02107683 Bernese mountain dog\nn02107908 Appenzeller\nn02108000 EntleBucher\nn02108089 boxer\nn02108422 bull mastiff\nn02108551 Tibetan mastiff\nn02108915 French bulldog\nn02109047 Great Dane\nn02109525 Saint Bernard, St Bernard\nn02109961 Eskimo dog, husky\nn02110063 malamute, malemute, Alaskan malamute\nn02110185 Siberian husky\nn02110341 dalmatian, coach dog, carriage dog\nn02110627 affenpinscher, monkey pinscher, monkey dog\nn02110806 basenji\nn02110958 pug, pug-dog\nn02111129 Leonberg\nn02111277 Newfoundland, Newfoundland dog\nn02111500 Great Pyrenees\nn02111889 Samoyed, Samoyede\nn02112018 Pomeranian\nn02112137 chow, chow chow\nn02112350 keeshond\nn02112706 Brabancon griffon\nn02113023 Pembroke, Pembroke Welsh corgi\nn02113186 Cardigan, Cardigan Welsh corgi\nn02113624 toy poodle\nn02113712 miniature poodle\nn02113799 standard poodle\nn02113978 Mexican hairless\nn02114367 timber wolf, grey wolf, gray wolf, Canis lupus\nn02114548 white wolf, Arctic wolf, Canis lupus tundrarum\nn02114712 red wolf, maned wolf, Canis rufus, Canis niger\nn02114855 coyote, prairie wolf, brush wolf, Canis latrans\nn02115641 dingo, warrigal, warragal, Canis dingo\nn02115913 dhole, Cuon alpinus\nn02116738 African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus\nn02117135 hyena, hyaena\nn02119022 red fox, Vulpes vulpes\nn02119789 kit fox, Vulpes macrotis\nn02120079 Arctic fox, white fox, Alopex lagopus\nn02120505 grey fox, gray fox, Urocyon cinereoargenteus\nn02123045 tabby, tabby cat\nn02123159 tiger cat\nn02123394 Persian cat\nn02123597 Siamese cat, Siamese\nn02124075 Egyptian cat\nn02125311 cougar, puma, catamount, mountain lion, painter, panther, Felis concolor\nn02127052 lynx, catamount\nn02128385 leopard, Panthera pardus\nn02128757 snow leopard, ounce, Panthera uncia\nn02128925 jaguar, panther, Panthera onca, Felis onca\nn02129165 lion, king of beasts, Panthera leo\nn02129604 tiger, Panthera tigris\nn02130308 cheetah, chetah, Acinonyx jubatus\nn02132136 brown bear, bruin, Ursus arctos\nn02133161 American black bear, black bear, Ursus americanus, Euarctos americanus\nn02134084 ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus\nn02134418 sloth bear, Melursus ursinus, Ursus ursinus\nn02137549 mongoose\nn02138441 meerkat, mierkat\nn02165105 tiger beetle\nn02165456 ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle\nn02167151 ground beetle, carabid beetle\nn02168699 long-horned beetle, longicorn, longicorn beetle\nn02169497 leaf beetle, chrysomelid\nn02172182 dung beetle\nn02174001 rhinoceros beetle\nn02177972 weevil\nn02190166 fly\nn02206856 bee\nn02219486 ant, emmet, pismire\nn02226429 grasshopper, hopper\nn02229544 cricket\nn02231487 walking stick, walkingstick, stick insect\nn02233338 cockroach, roach\nn02236044 mantis, mantid\nn02256656 cicada, cicala\nn02259212 leafhopper\nn02264363 lacewing, lacewing fly\nn02268443 dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk\nn02268853 damselfly\nn02276258 admiral\nn02277742 ringlet, ringlet butterfly\nn02279972 monarch, monarch butterfly, milkweed butterfly, Danaus plexippus\nn02280649 cabbage butterfly\nn02281406 sulphur butterfly, sulfur butterfly\nn02281787 lycaenid, lycaenid butterfly\nn02317335 starfish, sea star\nn02319095 sea urchin\nn02321529 sea cucumber, holothurian\nn02325366 wood rabbit, cottontail, cottontail rabbit\nn02326432 hare\nn02328150 Angora, Angora rabbit\nn02342885 hamster\nn02346627 porcupine, hedgehog\nn02356798 fox squirrel, eastern fox squirrel, Sciurus niger\nn02361337 marmot\nn02363005 beaver\nn02364673 guinea pig, Cavia cobaya\nn02389026 sorrel\nn02391049 zebra\nn02395406 hog, pig, grunter, squealer, Sus scrofa\nn02396427 wild boar, boar, Sus scrofa\nn02397096 warthog\nn02398521 hippopotamus, hippo, river horse, Hippopotamus amphibius\nn02403003 ox\nn02408429 water buffalo, water ox, Asiatic buffalo, Bubalus bubalis\nn02410509 bison\nn02412080 ram, tup\nn02415577 bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis\nn02417914 ibex, Capra ibex\nn02422106 hartebeest\nn02422699 impala, Aepyceros melampus\nn02423022 gazelle\nn02437312 Arabian camel, dromedary, Camelus dromedarius\nn02437616 llama\nn02441942 weasel\nn02442845 mink\nn02443114 polecat, fitch, foulmart, foumart, Mustela putorius\nn02443484 black-footed ferret, ferret, Mustela nigripes\nn02444819 otter\nn02445715 skunk, polecat, wood pussy\nn02447366 badger\nn02454379 armadillo\nn02457408 three-toed sloth, ai, Bradypus tridactylus\nn02480495 orangutan, orang, orangutang, Pongo pygmaeus\nn02480855 gorilla, Gorilla gorilla\nn02481823 chimpanzee, chimp, Pan troglodytes\nn02483362 gibbon, Hylobates lar\nn02483708 siamang, Hylobates syndactylus, Symphalangus syndactylus\nn02484975 guenon, guenon monkey\nn02486261 patas, hussar monkey, Erythrocebus patas\nn02486410 baboon\nn02487347 macaque\nn02488291 langur\nn02488702 colobus, colobus monkey\nn02489166 proboscis monkey, Nasalis larvatus\nn02490219 marmoset\nn02492035 capuchin, ringtail, Cebus capucinus\nn02492660 howler monkey, howler\nn02493509 titi, titi monkey\nn02493793 spider monkey, Ateles geoffroyi\nn02494079 squirrel monkey, Saimiri sciureus\nn02497673 Madagascar cat, ring-tailed lemur, Lemur catta\nn02500267 indri, indris, Indri indri, Indri brevicaudatus\nn02504013 Indian elephant, Elephas maximus\nn02504458 African elephant, Loxodonta africana\nn02509815 lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens\nn02510455 giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca\nn02514041 barracouta, snoek\nn02526121 eel\nn02536864 coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch\nn02606052 rock beauty, Holocanthus tricolor\nn02607072 anemone fish\nn02640242 sturgeon\nn02641379 gar, garfish, garpike, billfish, Lepisosteus osseus\nn02643566 lionfish\nn02655020 puffer, pufferfish, blowfish, globefish\nn02666196 abacus\nn02667093 abaya\nn02669723 academic gown, academic robe, judge's robe\nn02672831 accordion, piano accordion, squeeze box\nn02676566 acoustic guitar\nn02687172 aircraft carrier, carrier, flattop, attack aircraft carrier\nn02690373 airliner\nn02692877 airship, dirigible\nn02699494 altar\nn02701002 ambulance\nn02704792 amphibian, amphibious vehicle\nn02708093 analog clock\nn02727426 apiary, bee house\nn02730930 apron\nn02747177 ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin\nn02749479 assault rifle, assault gun\nn02769748 backpack, back pack, knapsack, packsack, rucksack, haversack\nn02776631 bakery, bakeshop, bakehouse\nn02777292 balance beam, beam\nn02782093 balloon\nn02783161 ballpoint, ballpoint pen, ballpen, Biro\nn02786058 Band Aid\nn02787622 banjo\nn02788148 bannister, banister, balustrade, balusters, handrail\nn02790996 barbell\nn02791124 barber chair\nn02791270 barbershop\nn02793495 barn\nn02794156 barometer\nn02795169 barrel, cask\nn02797295 barrow, garden cart, lawn cart, wheelbarrow\nn02799071 baseball\nn02802426 basketball\nn02804414 bassinet\nn02804610 bassoon\nn02807133 bathing cap, swimming cap\nn02808304 bath towel\nn02808440 bathtub, bathing tub, bath, tub\nn02814533 beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon\nn02814860 beacon, lighthouse, beacon light, pharos\nn02815834 beaker\nn02817516 bearskin, busby, shako\nn02823428 beer bottle\nn02823750 beer glass\nn02825657 bell cote, bell cot\nn02834397 bib\nn02835271 bicycle-built-for-two, tandem bicycle, tandem\nn02837789 bikini, two-piece\nn02840245 binder, ring-binder\nn02841315 binoculars, field glasses, opera glasses\nn02843684 birdhouse\nn02859443 boathouse\nn02860847 bobsled, bobsleigh, bob\nn02865351 bolo tie, bolo, bola tie, bola\nn02869837 bonnet, poke bonnet\nn02870880 bookcase\nn02871525 bookshop, bookstore, bookstall\nn02877765 bottlecap\nn02879718 bow\nn02883205 bow tie, bow-tie, bowtie\nn02892201 brass, memorial tablet, plaque\nn02892767 brassiere, bra, bandeau\nn02894605 breakwater, groin, groyne, mole, bulwark, seawall, jetty\nn02895154 breastplate, aegis, egis\nn02906734 broom\nn02909870 bucket, pail\nn02910353 buckle\nn02916936 bulletproof vest\nn02917067 bullet train, bullet\nn02927161 butcher shop, meat market\nn02930766 cab, hack, taxi, taxicab\nn02939185 caldron, cauldron\nn02948072 candle, taper, wax light\nn02950826 cannon\nn02951358 canoe\nn02951585 can opener, tin opener\nn02963159 cardigan\nn02965783 car mirror\nn02966193 carousel, carrousel, merry-go-round, roundabout, whirligig\nn02966687 carpenter's kit, tool kit\nn02971356 carton\nn02974003 car wheel\nn02977058 cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM\nn02978881 cassette\nn02979186 cassette player\nn02980441 castle\nn02981792 catamaran\nn02988304 CD player\nn02992211 cello, violoncello\nn02992529 cellular telephone, cellular phone, cellphone, cell, mobile phone\nn02999410 chain\nn03000134 chainlink fence\nn03000247 chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour\nn03000684 chain saw, chainsaw\nn03014705 chest\nn03016953 chiffonier, commode\nn03017168 chime, bell, gong\nn03018349 china cabinet, china closet\nn03026506 Christmas stocking\nn03028079 church, church building\nn03032252 cinema, movie theater, movie theatre, movie house, picture palace\nn03041632 cleaver, meat cleaver, chopper\nn03042490 cliff dwelling\nn03045698 cloak\nn03047690 clog, geta, patten, sabot\nn03062245 cocktail shaker\nn03063599 coffee mug\nn03063689 coffeepot\nn03065424 coil, spiral, volute, whorl, helix\nn03075370 combination lock\nn03085013 computer keyboard, keypad\nn03089624 confectionery, confectionary, candy store\nn03095699 container ship, containership, container vessel\nn03100240 convertible\nn03109150 corkscrew, bottle screw\nn03110669 cornet, horn, trumpet, trump\nn03124043 cowboy boot\nn03124170 cowboy hat, ten-gallon hat\nn03125729 cradle\nn03126707 crane\nn03127747 crash helmet\nn03127925 crate\nn03131574 crib, cot\nn03133878 Crock Pot\nn03134739 croquet ball\nn03141823 crutch\nn03146219 cuirass\nn03160309 dam, dike, dyke\nn03179701 desk\nn03180011 desktop computer\nn03187595 dial telephone, dial phone\nn03188531 diaper, nappy, napkin\nn03196217 digital clock\nn03197337 digital watch\nn03201208 dining table, board\nn03207743 dishrag, dishcloth\nn03207941 dishwasher, dish washer, dishwashing machine\nn03208938 disk brake, disc brake\nn03216828 dock, dockage, docking facility\nn03218198 dogsled, dog sled, dog sleigh\nn03220513 dome\nn03223299 doormat, welcome mat\nn03240683 drilling platform, offshore rig\nn03249569 drum, membranophone, tympan\nn03250847 drumstick\nn03255030 dumbbell\nn03259280 Dutch oven\nn03271574 electric fan, blower\nn03272010 electric guitar\nn03272562 electric locomotive\nn03290653 entertainment center\nn03291819 envelope\nn03297495 espresso maker\nn03314780 face powder\nn03325584 feather boa, boa\nn03337140 file, file cabinet, filing cabinet\nn03344393 fireboat\nn03345487 fire engine, fire truck\nn03347037 fire screen, fireguard\nn03355925 flagpole, flagstaff\nn03372029 flute, transverse flute\nn03376595 folding chair\nn03379051 football helmet\nn03384352 forklift\nn03388043 fountain\nn03388183 fountain pen\nn03388549 four-poster\nn03393912 freight car\nn03394916 French horn, horn\nn03400231 frying pan, frypan, skillet\nn03404251 fur coat\nn03417042 garbage truck, dustcart\nn03424325 gasmask, respirator, gas helmet\nn03425413 gas pump, gasoline pump, petrol pump, island dispenser\nn03443371 goblet\nn03444034 go-kart\nn03445777 golf ball\nn03445924 golfcart, golf cart\nn03447447 gondola\nn03447721 gong, tam-tam\nn03450230 gown\nn03452741 grand piano, grand\nn03457902 greenhouse, nursery, glasshouse\nn03459775 grille, radiator grille\nn03461385 grocery store, grocery, food market, market\nn03467068 guillotine\nn03476684 hair slide\nn03476991 hair spray\nn03478589 half track\nn03481172 hammer\nn03482405 hamper\nn03483316 hand blower, blow dryer, blow drier, hair dryer, hair drier\nn03485407 hand-held computer, hand-held microcomputer\nn03485794 handkerchief, hankie, hanky, hankey\nn03492542 hard disc, hard disk, fixed disk\nn03494278 harmonica, mouth organ, harp, mouth harp\nn03495258 harp\nn03496892 harvester, reaper\nn03498962 hatchet\nn03527444 holster\nn03529860 home theater, home theatre\nn03530642 honeycomb\nn03532672 hook, claw\nn03534580 hoopskirt, crinoline\nn03535780 horizontal bar, high bar\nn03538406 horse cart, horse-cart\nn03544143 hourglass\nn03584254 iPod\nn03584829 iron, smoothing iron\nn03590841 jack-o'-lantern\nn03594734 jean, blue jean, denim\nn03594945 jeep, landrover\nn03595614 jersey, T-shirt, tee shirt\nn03598930 jigsaw puzzle\nn03599486 jinrikisha, ricksha, rickshaw\nn03602883 joystick\nn03617480 kimono\nn03623198 knee pad\nn03627232 knot\nn03630383 lab coat, laboratory coat\nn03633091 ladle\nn03637318 lampshade, lamp shade\nn03642806 laptop, laptop computer\nn03649909 lawn mower, mower\nn03657121 lens cap, lens cover\nn03658185 letter opener, paper knife, paperknife\nn03661043 library\nn03662601 lifeboat\nn03666591 lighter, light, igniter, ignitor\nn03670208 limousine, limo\nn03673027 liner, ocean liner\nn03676483 lipstick, lip rouge\nn03680355 Loafer\nn03690938 lotion\nn03691459 loudspeaker, speaker, speaker unit, loudspeaker system, speaker system\nn03692522 loupe, jeweler's loupe\nn03697007 lumbermill, sawmill\nn03706229 magnetic compass\nn03709823 mailbag, postbag\nn03710193 mailbox, letter box\nn03710637 maillot\nn03710721 maillot, tank suit\nn03717622 manhole cover\nn03720891 maraca\nn03721384 marimba, xylophone\nn03724870 mask\nn03729826 matchstick\nn03733131 maypole\nn03733281 maze, labyrinth\nn03733805 measuring cup\nn03742115 medicine chest, medicine cabinet\nn03743016 megalith, megalithic structure\nn03759954 microphone, mike\nn03761084 microwave, microwave oven\nn03763968 military uniform\nn03764736 milk can\nn03769881 minibus\nn03770439 miniskirt, mini\nn03770679 minivan\nn03773504 missile\nn03775071 mitten\nn03775546 mixing bowl\nn03776460 mobile home, manufactured home\nn03777568 Model T\nn03777754 modem\nn03781244 monastery\nn03782006 monitor\nn03785016 moped\nn03786901 mortar\nn03787032 mortarboard\nn03788195 mosque\nn03788365 mosquito net\nn03791053 motor scooter, scooter\nn03792782 mountain bike, all-terrain bike, off-roader\nn03792972 mountain tent\nn03793489 mouse, computer mouse\nn03794056 mousetrap\nn03796401 moving van\nn03803284 muzzle\nn03804744 nail\nn03814639 neck brace\nn03814906 necklace\nn03825788 nipple\nn03832673 notebook, notebook computer\nn03837869 obelisk\nn03838899 oboe, hautboy, hautbois\nn03840681 ocarina, sweet potato\nn03841143 odometer, hodometer, mileometer, milometer\nn03843555 oil filter\nn03854065 organ, pipe organ\nn03857828 oscilloscope, scope, cathode-ray oscilloscope, CRO\nn03866082 overskirt\nn03868242 oxcart\nn03868863 oxygen mask\nn03871628 packet\nn03873416 paddle, boat paddle\nn03874293 paddlewheel, paddle wheel\nn03874599 padlock\nn03876231 paintbrush\nn03877472 pajama, pyjama, pj's, jammies\nn03877845 palace\nn03884397 panpipe, pandean pipe, syrinx\nn03887697 paper towel\nn03888257 parachute, chute\nn03888605 parallel bars, 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options=None,\n type=None),\n _descriptor.EnumValueDescriptor(\n name='THRESHOLD', index=39, number=31,\n options=None,\n type=None),\n ],\n containing_type=None,\n options=None,\n serialized_start=13594,\n serialized_end=14194,\n)\n_sym_db.RegisterEnumDescriptor(_V1LAYERPARAMETER_LAYERTYPE)\n\n_V1LAYERPARAMETER_DIMCHECKMODE = _descriptor.EnumDescriptor(\n name='DimCheckMode',\n full_name='caffe.V1LayerParameter.DimCheckMode',\n filename=None,\n file=DESCRIPTOR,\n values=[\n _descriptor.EnumValueDescriptor(\n name='STRICT', index=0, number=0,\n options=None,\n type=None),\n _descriptor.EnumValueDescriptor(\n name='PERMISSIVE', index=1, number=1,\n options=None,\n type=None),\n ],\n containing_type=None,\n options=None,\n serialized_start=2731,\n serialized_end=2773,\n)\n_sym_db.RegisterEnumDescriptor(_V1LAYERPARAMETER_DIMCHECKMODE)\n\n_V0LAYERPARAMETER_POOLMETHOD = _descriptor.EnumDescriptor(\n name='PoolMethod',\n full_name='caffe.V0LayerParameter.PoolMethod',\n filename=None,\n file=DESCRIPTOR,\n values=[\n _descriptor.EnumValueDescriptor(\n name='MAX', index=0, number=0,\n options=None,\n type=None),\n _descriptor.EnumValueDescriptor(\n name='AVE', index=1, number=1,\n options=None,\n type=None),\n _descriptor.EnumValueDescriptor(\n name='STOCHASTIC', index=2, number=2,\n options=None,\n type=None),\n ],\n containing_type=None,\n options=None,\n serialized_start=9553,\n serialized_end=9599,\n)\n_sym_db.RegisterEnumDescriptor(_V0LAYERPARAMETER_POOLMETHOD)\n\n\n_BLOBSHAPE = _descriptor.Descriptor(\n name='BlobShape',\n full_name='caffe.BlobShape',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='dim', full_name='caffe.BlobShape.dim', index=0,\n number=1, type=3, cpp_type=2, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\\020\\001'))),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=22,\n serialized_end=50,\n)\n\n\n_BLOBPROTO = _descriptor.Descriptor(\n name='BlobProto',\n full_name='caffe.BlobProto',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='shape', full_name='caffe.BlobProto.shape', index=0,\n number=7, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='data', full_name='caffe.BlobProto.data', index=1,\n number=5, type=2, cpp_type=6, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\\020\\001'))),\n _descriptor.FieldDescriptor(\n name='diff', full_name='caffe.BlobProto.diff', index=2,\n number=6, type=2, cpp_type=6, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\\020\\001'))),\n _descriptor.FieldDescriptor(\n name='double_data', full_name='caffe.BlobProto.double_data', index=3,\n number=8, type=1, cpp_type=5, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\\020\\001'))),\n _descriptor.FieldDescriptor(\n name='double_diff', full_name='caffe.BlobProto.double_diff', index=4,\n number=9, type=1, cpp_type=5, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\\020\\001'))),\n _descriptor.FieldDescriptor(\n name='num', full_name='caffe.BlobProto.num', index=5,\n number=1, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='channels', full_name='caffe.BlobProto.channels', index=6,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='height', full_name='caffe.BlobProto.height', index=7,\n number=3, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='width', full_name='caffe.BlobProto.width', index=8,\n number=4, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=53,\n serialized_end=257,\n)\n\n\n_BLOBPROTOVECTOR = _descriptor.Descriptor(\n name='BlobProtoVector',\n full_name='caffe.BlobProtoVector',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='blobs', full_name='caffe.BlobProtoVector.blobs', index=0,\n number=1, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=259,\n serialized_end=309,\n)\n\n\n_DATUM = _descriptor.Descriptor(\n name='Datum',\n full_name='caffe.Datum',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='channels', full_name='caffe.Datum.channels', index=0,\n number=1, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='height', full_name='caffe.Datum.height', index=1,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='width', full_name='caffe.Datum.width', index=2,\n number=3, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='data', full_name='caffe.Datum.data', index=3,\n number=4, type=12, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\"),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='label', full_name='caffe.Datum.label', index=4,\n number=5, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='float_data', full_name='caffe.Datum.float_data', index=5,\n number=6, type=2, cpp_type=6, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='encoded', full_name='caffe.Datum.encoded', index=6,\n number=7, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=312,\n serialized_end=441,\n)\n\n\n_FILLERPARAMETER = _descriptor.Descriptor(\n name='FillerParameter',\n full_name='caffe.FillerParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='type', full_name='caffe.FillerParameter.type', index=0,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=True, default_value=_b(\"constant\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='value', full_name='caffe.FillerParameter.value', index=1,\n number=2, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='min', full_name='caffe.FillerParameter.min', index=2,\n number=3, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='max', full_name='caffe.FillerParameter.max', index=3,\n number=4, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mean', full_name='caffe.FillerParameter.mean', index=4,\n number=5, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='std', full_name='caffe.FillerParameter.std', index=5,\n number=6, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='sparse', full_name='caffe.FillerParameter.sparse', index=6,\n number=7, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=-1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='variance_norm', full_name='caffe.FillerParameter.variance_norm', index=7,\n number=8, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _FILLERPARAMETER_VARIANCENORM,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=444,\n serialized_end=710,\n)\n\n\n_NETPARAMETER = _descriptor.Descriptor(\n name='NetParameter',\n full_name='caffe.NetParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='name', full_name='caffe.NetParameter.name', index=0,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='input', full_name='caffe.NetParameter.input', index=1,\n number=3, type=9, cpp_type=9, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='input_shape', full_name='caffe.NetParameter.input_shape', index=2,\n number=8, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='input_dim', full_name='caffe.NetParameter.input_dim', index=3,\n number=4, type=5, cpp_type=1, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='force_backward', full_name='caffe.NetParameter.force_backward', index=4,\n number=5, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='state', full_name='caffe.NetParameter.state', index=5,\n number=6, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='debug_info', full_name='caffe.NetParameter.debug_info', index=6,\n number=7, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='layer', full_name='caffe.NetParameter.layer', index=7,\n number=100, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='layers', full_name='caffe.NetParameter.layers', index=8,\n number=2, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=713,\n serialized_end=983,\n)\n\n\n_SOLVERPARAMETER = _descriptor.Descriptor(\n name='SolverParameter',\n full_name='caffe.SolverParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='net', full_name='caffe.SolverParameter.net', index=0,\n number=24, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='net_param', full_name='caffe.SolverParameter.net_param', index=1,\n number=25, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='train_net', full_name='caffe.SolverParameter.train_net', index=2,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='test_net', full_name='caffe.SolverParameter.test_net', index=3,\n number=2, type=9, cpp_type=9, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='train_net_param', full_name='caffe.SolverParameter.train_net_param', index=4,\n number=21, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='test_net_param', full_name='caffe.SolverParameter.test_net_param', index=5,\n number=22, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='train_state', full_name='caffe.SolverParameter.train_state', index=6,\n number=26, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='test_state', full_name='caffe.SolverParameter.test_state', index=7,\n number=27, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='test_iter', full_name='caffe.SolverParameter.test_iter', index=8,\n number=3, type=5, cpp_type=1, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='test_interval', full_name='caffe.SolverParameter.test_interval', index=9,\n number=4, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='test_compute_loss', full_name='caffe.SolverParameter.test_compute_loss', index=10,\n number=19, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='test_initialization', full_name='caffe.SolverParameter.test_initialization', index=11,\n number=32, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=True,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='base_lr', full_name='caffe.SolverParameter.base_lr', index=12,\n number=5, type=2, cpp_type=6, label=1,\n has_default_value=False, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='display', full_name='caffe.SolverParameter.display', index=13,\n number=6, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='average_loss', full_name='caffe.SolverParameter.average_loss', index=14,\n number=33, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='max_iter', full_name='caffe.SolverParameter.max_iter', index=15,\n number=7, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='iter_size', full_name='caffe.SolverParameter.iter_size', index=16,\n number=36, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='lr_policy', full_name='caffe.SolverParameter.lr_policy', index=17,\n number=8, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='gamma', full_name='caffe.SolverParameter.gamma', index=18,\n number=9, type=2, cpp_type=6, label=1,\n has_default_value=False, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='power', full_name='caffe.SolverParameter.power', index=19,\n number=10, type=2, cpp_type=6, label=1,\n has_default_value=False, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='momentum', full_name='caffe.SolverParameter.momentum', index=20,\n number=11, type=2, cpp_type=6, label=1,\n has_default_value=False, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='weight_decay', full_name='caffe.SolverParameter.weight_decay', index=21,\n number=12, type=2, cpp_type=6, label=1,\n has_default_value=False, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='regularization_type', full_name='caffe.SolverParameter.regularization_type', index=22,\n number=29, type=9, cpp_type=9, label=1,\n has_default_value=True, default_value=_b(\"L2\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='stepsize', full_name='caffe.SolverParameter.stepsize', index=23,\n number=13, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='stepvalue', full_name='caffe.SolverParameter.stepvalue', index=24,\n number=34, type=5, cpp_type=1, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='clip_gradients', full_name='caffe.SolverParameter.clip_gradients', index=25,\n number=35, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(-1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='snapshot', full_name='caffe.SolverParameter.snapshot', index=26,\n number=14, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='snapshot_prefix', full_name='caffe.SolverParameter.snapshot_prefix', index=27,\n number=15, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='snapshot_diff', full_name='caffe.SolverParameter.snapshot_diff', index=28,\n number=16, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='snapshot_format', full_name='caffe.SolverParameter.snapshot_format', index=29,\n number=37, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='solver_mode', full_name='caffe.SolverParameter.solver_mode', index=30,\n number=17, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='device_id', full_name='caffe.SolverParameter.device_id', index=31,\n number=18, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='random_seed', full_name='caffe.SolverParameter.random_seed', index=32,\n number=20, type=3, cpp_type=2, label=1,\n has_default_value=True, default_value=-1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='type', full_name='caffe.SolverParameter.type', index=33,\n number=40, type=9, cpp_type=9, label=1,\n has_default_value=True, default_value=_b(\"SGD\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='delta', full_name='caffe.SolverParameter.delta', index=34,\n number=31, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1e-08),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='momentum2', full_name='caffe.SolverParameter.momentum2', index=35,\n number=39, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.999),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='rms_decay', full_name='caffe.SolverParameter.rms_decay', index=36,\n number=38, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.99),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='debug_info', full_name='caffe.SolverParameter.debug_info', index=37,\n number=23, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='snapshot_after_train', full_name='caffe.SolverParameter.snapshot_after_train', index=38,\n number=28, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=True,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='solver_type', full_name='caffe.SolverParameter.solver_type', index=39,\n number=30, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _SOLVERPARAMETER_SNAPSHOTFORMAT,\n _SOLVERPARAMETER_SOLVERMODE,\n _SOLVERPARAMETER_SOLVERTYPE,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=986,\n serialized_end=2300,\n)\n\n\n_SOLVERSTATE = _descriptor.Descriptor(\n name='SolverState',\n full_name='caffe.SolverState',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='iter', full_name='caffe.SolverState.iter', index=0,\n number=1, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='learned_net', full_name='caffe.SolverState.learned_net', index=1,\n number=2, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='history', full_name='caffe.SolverState.history', index=2,\n number=3, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='current_step', full_name='caffe.SolverState.current_step', index=3,\n number=4, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=2302,\n serialized_end=2410,\n)\n\n\n_NETSTATE = _descriptor.Descriptor(\n name='NetState',\n full_name='caffe.NetState',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='phase', full_name='caffe.NetState.phase', index=0,\n number=1, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='level', full_name='caffe.NetState.level', index=1,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='stage', full_name='caffe.NetState.stage', index=2,\n number=3, type=9, cpp_type=9, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=2412,\n serialized_end=2490,\n)\n\n\n_NETSTATERULE = _descriptor.Descriptor(\n name='NetStateRule',\n full_name='caffe.NetStateRule',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='phase', full_name='caffe.NetStateRule.phase', index=0,\n number=1, type=14, cpp_type=8, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='min_level', full_name='caffe.NetStateRule.min_level', index=1,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='max_level', full_name='caffe.NetStateRule.max_level', index=2,\n number=3, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='stage', full_name='caffe.NetStateRule.stage', index=3,\n number=4, type=9, cpp_type=9, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='not_stage', full_name='caffe.NetStateRule.not_stage', index=4,\n number=5, type=9, cpp_type=9, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=2492,\n serialized_end=2607,\n)\n\n\n_PARAMSPEC = _descriptor.Descriptor(\n name='ParamSpec',\n full_name='caffe.ParamSpec',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='name', full_name='caffe.ParamSpec.name', index=0,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='share_mode', full_name='caffe.ParamSpec.share_mode', index=1,\n number=2, type=14, cpp_type=8, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='lr_mult', full_name='caffe.ParamSpec.lr_mult', index=2,\n number=3, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='decay_mult', full_name='caffe.ParamSpec.decay_mult', index=3,\n number=4, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _PARAMSPEC_DIMCHECKMODE,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=2610,\n serialized_end=2773,\n)\n\n\n_LAYERPARAMETER = _descriptor.Descriptor(\n name='LayerParameter',\n full_name='caffe.LayerParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='name', full_name='caffe.LayerParameter.name', index=0,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='type', full_name='caffe.LayerParameter.type', index=1,\n number=2, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bottom', full_name='caffe.LayerParameter.bottom', index=2,\n number=3, type=9, cpp_type=9, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='top', full_name='caffe.LayerParameter.top', index=3,\n number=4, type=9, cpp_type=9, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='phase', full_name='caffe.LayerParameter.phase', index=4,\n number=10, type=14, cpp_type=8, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='loss_weight', full_name='caffe.LayerParameter.loss_weight', index=5,\n number=5, type=2, cpp_type=6, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='param', full_name='caffe.LayerParameter.param', index=6,\n number=6, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='blobs', full_name='caffe.LayerParameter.blobs', index=7,\n number=7, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='propagate_down', full_name='caffe.LayerParameter.propagate_down', index=8,\n number=11, type=8, cpp_type=7, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='include', full_name='caffe.LayerParameter.include', index=9,\n number=8, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='exclude', full_name='caffe.LayerParameter.exclude', index=10,\n number=9, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='transform_param', full_name='caffe.LayerParameter.transform_param', index=11,\n number=100, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='loss_param', full_name='caffe.LayerParameter.loss_param', index=12,\n number=101, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='accuracy_param', full_name='caffe.LayerParameter.accuracy_param', index=13,\n number=102, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='argmax_param', full_name='caffe.LayerParameter.argmax_param', index=14,\n number=103, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='batch_norm_param', full_name='caffe.LayerParameter.batch_norm_param', index=15,\n number=139, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bias_param', full_name='caffe.LayerParameter.bias_param', index=16,\n number=141, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='concat_param', full_name='caffe.LayerParameter.concat_param', index=17,\n number=104, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='contrastive_loss_param', full_name='caffe.LayerParameter.contrastive_loss_param', index=18,\n number=105, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='convolution_param', full_name='caffe.LayerParameter.convolution_param', index=19,\n number=106, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='crop_param', full_name='caffe.LayerParameter.crop_param', index=20,\n number=144, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='data_param', full_name='caffe.LayerParameter.data_param', index=21,\n number=107, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='dropout_param', full_name='caffe.LayerParameter.dropout_param', index=22,\n number=108, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='dummy_data_param', full_name='caffe.LayerParameter.dummy_data_param', index=23,\n number=109, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='eltwise_param', full_name='caffe.LayerParameter.eltwise_param', index=24,\n number=110, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='elu_param', full_name='caffe.LayerParameter.elu_param', index=25,\n number=140, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='embed_param', full_name='caffe.LayerParameter.embed_param', index=26,\n number=137, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='exp_param', full_name='caffe.LayerParameter.exp_param', index=27,\n number=111, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='flatten_param', full_name='caffe.LayerParameter.flatten_param', index=28,\n number=135, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='hdf5_data_param', full_name='caffe.LayerParameter.hdf5_data_param', index=29,\n number=112, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='hdf5_output_param', full_name='caffe.LayerParameter.hdf5_output_param', index=30,\n number=113, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='hinge_loss_param', full_name='caffe.LayerParameter.hinge_loss_param', index=31,\n number=114, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='image_data_param', full_name='caffe.LayerParameter.image_data_param', index=32,\n number=115, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='infogain_loss_param', full_name='caffe.LayerParameter.infogain_loss_param', index=33,\n number=116, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='inner_product_param', full_name='caffe.LayerParameter.inner_product_param', index=34,\n number=117, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='input_param', full_name='caffe.LayerParameter.input_param', index=35,\n number=143, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='log_param', full_name='caffe.LayerParameter.log_param', index=36,\n number=134, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='lrn_param', full_name='caffe.LayerParameter.lrn_param', index=37,\n number=118, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='memory_data_param', full_name='caffe.LayerParameter.memory_data_param', index=38,\n number=119, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mvn_param', full_name='caffe.LayerParameter.mvn_param', index=39,\n number=120, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='parameter_param', full_name='caffe.LayerParameter.parameter_param', index=40,\n number=145, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='pooling_param', full_name='caffe.LayerParameter.pooling_param', index=41,\n number=121, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='power_param', full_name='caffe.LayerParameter.power_param', index=42,\n number=122, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='prelu_param', full_name='caffe.LayerParameter.prelu_param', index=43,\n number=131, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='python_param', full_name='caffe.LayerParameter.python_param', index=44,\n number=130, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='recurrent_param', full_name='caffe.LayerParameter.recurrent_param', index=45,\n number=146, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='reduction_param', full_name='caffe.LayerParameter.reduction_param', index=46,\n number=136, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='relu_param', full_name='caffe.LayerParameter.relu_param', index=47,\n number=123, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='reshape_param', full_name='caffe.LayerParameter.reshape_param', index=48,\n number=133, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='scale_param', full_name='caffe.LayerParameter.scale_param', index=49,\n number=142, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='sigmoid_param', full_name='caffe.LayerParameter.sigmoid_param', index=50,\n number=124, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='softmax_param', full_name='caffe.LayerParameter.softmax_param', index=51,\n number=125, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='spp_param', full_name='caffe.LayerParameter.spp_param', index=52,\n number=132, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='slice_param', full_name='caffe.LayerParameter.slice_param', index=53,\n number=126, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='tanh_param', full_name='caffe.LayerParameter.tanh_param', index=54,\n number=127, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='threshold_param', full_name='caffe.LayerParameter.threshold_param', index=55,\n number=128, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='tile_param', full_name='caffe.LayerParameter.tile_param', index=56,\n number=138, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='window_data_param', full_name='caffe.LayerParameter.window_data_param', index=57,\n number=129, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=2776,\n serialized_end=5338,\n)\n\n\n_TRANSFORMATIONPARAMETER = _descriptor.Descriptor(\n name='TransformationParameter',\n full_name='caffe.TransformationParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='scale', full_name='caffe.TransformationParameter.scale', index=0,\n number=1, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mirror', full_name='caffe.TransformationParameter.mirror', index=1,\n number=2, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='crop_size', full_name='caffe.TransformationParameter.crop_size', index=2,\n number=3, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mean_file', full_name='caffe.TransformationParameter.mean_file', index=3,\n number=4, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mean_value', full_name='caffe.TransformationParameter.mean_value', index=4,\n number=5, type=2, cpp_type=6, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='force_color', full_name='caffe.TransformationParameter.force_color', index=5,\n number=6, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='force_gray', full_name='caffe.TransformationParameter.force_gray', index=6,\n number=7, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=5341,\n serialized_end=5523,\n)\n\n\n_LOSSPARAMETER = _descriptor.Descriptor(\n name='LossParameter',\n full_name='caffe.LossParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='ignore_label', full_name='caffe.LossParameter.ignore_label', index=0,\n number=1, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='normalization', full_name='caffe.LossParameter.normalization', index=1,\n number=3, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='normalize', full_name='caffe.LossParameter.normalize', index=2,\n number=2, type=8, cpp_type=7, label=1,\n has_default_value=False, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _LOSSPARAMETER_NORMALIZATIONMODE,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=5526,\n serialized_end=5720,\n)\n\n\n_ACCURACYPARAMETER = _descriptor.Descriptor(\n name='AccuracyParameter',\n full_name='caffe.AccuracyParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='top_k', full_name='caffe.AccuracyParameter.top_k', index=0,\n number=1, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.AccuracyParameter.axis', index=1,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='ignore_label', full_name='caffe.AccuracyParameter.ignore_label', index=2,\n number=3, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=5722,\n serialized_end=5798,\n)\n\n\n_ARGMAXPARAMETER = _descriptor.Descriptor(\n name='ArgMaxParameter',\n full_name='caffe.ArgMaxParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='out_max_val', full_name='caffe.ArgMaxParameter.out_max_val', index=0,\n number=1, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='top_k', full_name='caffe.ArgMaxParameter.top_k', index=1,\n number=2, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.ArgMaxParameter.axis', index=2,\n number=3, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=5800,\n serialized_end=5877,\n)\n\n\n_CONCATPARAMETER = _descriptor.Descriptor(\n name='ConcatParameter',\n full_name='caffe.ConcatParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.ConcatParameter.axis', index=0,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='concat_dim', full_name='caffe.ConcatParameter.concat_dim', index=1,\n number=1, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=5879,\n serialized_end=5936,\n)\n\n\n_BATCHNORMPARAMETER = _descriptor.Descriptor(\n name='BatchNormParameter',\n full_name='caffe.BatchNormParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='use_global_stats', full_name='caffe.BatchNormParameter.use_global_stats', index=0,\n number=1, type=8, cpp_type=7, label=1,\n has_default_value=False, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='moving_average_fraction', full_name='caffe.BatchNormParameter.moving_average_fraction', index=1,\n number=2, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.999),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='eps', full_name='caffe.BatchNormParameter.eps', index=2,\n number=3, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1e-05),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=5938,\n serialized_end=6044,\n)\n\n\n_BIASPARAMETER = _descriptor.Descriptor(\n name='BiasParameter',\n full_name='caffe.BiasParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.BiasParameter.axis', index=0,\n number=1, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='num_axes', full_name='caffe.BiasParameter.num_axes', index=1,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='filler', full_name='caffe.BiasParameter.filler', index=2,\n number=3, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=6046,\n serialized_end=6139,\n)\n\n\n_CONTRASTIVELOSSPARAMETER = _descriptor.Descriptor(\n name='ContrastiveLossParameter',\n full_name='caffe.ContrastiveLossParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='margin', full_name='caffe.ContrastiveLossParameter.margin', index=0,\n number=1, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='legacy_version', full_name='caffe.ContrastiveLossParameter.legacy_version', index=1,\n number=2, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=6141,\n serialized_end=6217,\n)\n\n\n_CONVOLUTIONPARAMETER = _descriptor.Descriptor(\n name='ConvolutionParameter',\n full_name='caffe.ConvolutionParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='num_output', full_name='caffe.ConvolutionParameter.num_output', index=0,\n number=1, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bias_term', full_name='caffe.ConvolutionParameter.bias_term', index=1,\n number=2, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=True,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='pad', full_name='caffe.ConvolutionParameter.pad', index=2,\n number=3, type=13, cpp_type=3, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='kernel_size', full_name='caffe.ConvolutionParameter.kernel_size', index=3,\n number=4, type=13, cpp_type=3, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='stride', full_name='caffe.ConvolutionParameter.stride', index=4,\n number=6, type=13, cpp_type=3, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='dilation', full_name='caffe.ConvolutionParameter.dilation', index=5,\n number=18, type=13, cpp_type=3, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='pad_h', full_name='caffe.ConvolutionParameter.pad_h', index=6,\n number=9, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='pad_w', full_name='caffe.ConvolutionParameter.pad_w', index=7,\n number=10, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='kernel_h', full_name='caffe.ConvolutionParameter.kernel_h', index=8,\n number=11, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='kernel_w', full_name='caffe.ConvolutionParameter.kernel_w', index=9,\n number=12, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='stride_h', full_name='caffe.ConvolutionParameter.stride_h', index=10,\n number=13, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='stride_w', full_name='caffe.ConvolutionParameter.stride_w', index=11,\n number=14, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='group', full_name='caffe.ConvolutionParameter.group', index=12,\n number=5, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='weight_filler', full_name='caffe.ConvolutionParameter.weight_filler', index=13,\n number=7, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bias_filler', full_name='caffe.ConvolutionParameter.bias_filler', index=14,\n number=8, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='engine', full_name='caffe.ConvolutionParameter.engine', index=15,\n number=15, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.ConvolutionParameter.axis', index=16,\n number=16, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='force_nd_im2col', full_name='caffe.ConvolutionParameter.force_nd_im2col', index=17,\n number=17, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _CONVOLUTIONPARAMETER_ENGINE,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=6220,\n serialized_end=6728,\n)\n\n\n_CROPPARAMETER = _descriptor.Descriptor(\n name='CropParameter',\n full_name='caffe.CropParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.CropParameter.axis', index=0,\n number=1, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=2,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='offset', full_name='caffe.CropParameter.offset', index=1,\n number=2, type=13, cpp_type=3, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=6730,\n serialized_end=6778,\n)\n\n\n_DATAPARAMETER = _descriptor.Descriptor(\n name='DataParameter',\n full_name='caffe.DataParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='source', full_name='caffe.DataParameter.source', index=0,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='batch_size', full_name='caffe.DataParameter.batch_size', index=1,\n number=4, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='rand_skip', full_name='caffe.DataParameter.rand_skip', index=2,\n number=7, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='backend', full_name='caffe.DataParameter.backend', index=3,\n number=8, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='scale', full_name='caffe.DataParameter.scale', index=4,\n number=2, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mean_file', full_name='caffe.DataParameter.mean_file', index=5,\n number=3, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='crop_size', full_name='caffe.DataParameter.crop_size', index=6,\n number=5, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mirror', full_name='caffe.DataParameter.mirror', index=7,\n number=6, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='force_encoded_color', full_name='caffe.DataParameter.force_encoded_color', index=8,\n number=9, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='prefetch', full_name='caffe.DataParameter.prefetch', index=9,\n number=10, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=4,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _DATAPARAMETER_DB,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=6781,\n serialized_end=7073,\n)\n\n\n_DROPOUTPARAMETER = _descriptor.Descriptor(\n name='DropoutParameter',\n full_name='caffe.DropoutParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='dropout_ratio', full_name='caffe.DropoutParameter.dropout_ratio', index=0,\n number=1, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.5),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=7075,\n serialized_end=7121,\n)\n\n\n_DUMMYDATAPARAMETER = _descriptor.Descriptor(\n name='DummyDataParameter',\n full_name='caffe.DummyDataParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='data_filler', full_name='caffe.DummyDataParameter.data_filler', index=0,\n number=1, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='shape', full_name='caffe.DummyDataParameter.shape', index=1,\n number=6, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='num', full_name='caffe.DummyDataParameter.num', index=2,\n number=2, type=13, cpp_type=3, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='channels', full_name='caffe.DummyDataParameter.channels', index=3,\n number=3, type=13, cpp_type=3, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='height', full_name='caffe.DummyDataParameter.height', index=4,\n number=4, type=13, cpp_type=3, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='width', full_name='caffe.DummyDataParameter.width', index=5,\n number=5, type=13, cpp_type=3, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=7124,\n serialized_end=7284,\n)\n\n\n_ELTWISEPARAMETER = _descriptor.Descriptor(\n name='EltwiseParameter',\n full_name='caffe.EltwiseParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='operation', full_name='caffe.EltwiseParameter.operation', index=0,\n number=1, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='coeff', full_name='caffe.EltwiseParameter.coeff', index=1,\n number=2, type=2, cpp_type=6, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='stable_prod_grad', full_name='caffe.EltwiseParameter.stable_prod_grad', index=2,\n number=3, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=True,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _ELTWISEPARAMETER_ELTWISEOP,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=7287,\n serialized_end=7452,\n)\n\n\n_ELUPARAMETER = _descriptor.Descriptor(\n name='ELUParameter',\n full_name='caffe.ELUParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='alpha', full_name='caffe.ELUParameter.alpha', index=0,\n number=1, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=7454,\n serialized_end=7486,\n)\n\n\n_EMBEDPARAMETER = _descriptor.Descriptor(\n name='EmbedParameter',\n full_name='caffe.EmbedParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='num_output', full_name='caffe.EmbedParameter.num_output', index=0,\n number=1, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='input_dim', full_name='caffe.EmbedParameter.input_dim', index=1,\n number=2, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bias_term', full_name='caffe.EmbedParameter.bias_term', index=2,\n number=3, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=True,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='weight_filler', full_name='caffe.EmbedParameter.weight_filler', index=3,\n number=4, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bias_filler', full_name='caffe.EmbedParameter.bias_filler', index=4,\n number=5, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=7489,\n serialized_end=7661,\n)\n\n\n_EXPPARAMETER = _descriptor.Descriptor(\n name='ExpParameter',\n full_name='caffe.ExpParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='base', full_name='caffe.ExpParameter.base', index=0,\n number=1, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(-1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='scale', full_name='caffe.ExpParameter.scale', index=1,\n number=2, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='shift', full_name='caffe.ExpParameter.shift', index=2,\n number=3, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=7663,\n serialized_end=7731,\n)\n\n\n_FLATTENPARAMETER = _descriptor.Descriptor(\n name='FlattenParameter',\n full_name='caffe.FlattenParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.FlattenParameter.axis', index=0,\n number=1, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='end_axis', full_name='caffe.FlattenParameter.end_axis', index=1,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=-1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=7733,\n serialized_end=7790,\n)\n\n\n_HDF5DATAPARAMETER = _descriptor.Descriptor(\n name='HDF5DataParameter',\n full_name='caffe.HDF5DataParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='source', full_name='caffe.HDF5DataParameter.source', index=0,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='batch_size', full_name='caffe.HDF5DataParameter.batch_size', index=1,\n number=2, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='shuffle', full_name='caffe.HDF5DataParameter.shuffle', index=2,\n number=3, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=7792,\n serialized_end=7871,\n)\n\n\n_HDF5OUTPUTPARAMETER = _descriptor.Descriptor(\n name='HDF5OutputParameter',\n full_name='caffe.HDF5OutputParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='file_name', full_name='caffe.HDF5OutputParameter.file_name', index=0,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=7873,\n serialized_end=7913,\n)\n\n\n_HINGELOSSPARAMETER = _descriptor.Descriptor(\n name='HingeLossParameter',\n full_name='caffe.HingeLossParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='norm', full_name='caffe.HingeLossParameter.norm', index=0,\n number=1, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _HINGELOSSPARAMETER_NORM,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=7915,\n serialized_end=8009,\n)\n\n\n_IMAGEDATAPARAMETER = _descriptor.Descriptor(\n name='ImageDataParameter',\n full_name='caffe.ImageDataParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='source', full_name='caffe.ImageDataParameter.source', index=0,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='batch_size', full_name='caffe.ImageDataParameter.batch_size', index=1,\n number=4, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='rand_skip', full_name='caffe.ImageDataParameter.rand_skip', index=2,\n number=7, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='shuffle', full_name='caffe.ImageDataParameter.shuffle', index=3,\n number=8, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='new_height', full_name='caffe.ImageDataParameter.new_height', index=4,\n number=9, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='new_width', full_name='caffe.ImageDataParameter.new_width', index=5,\n number=10, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='is_color', full_name='caffe.ImageDataParameter.is_color', index=6,\n number=11, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=True,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='scale', full_name='caffe.ImageDataParameter.scale', index=7,\n number=2, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mean_file', full_name='caffe.ImageDataParameter.mean_file', index=8,\n number=3, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='crop_size', full_name='caffe.ImageDataParameter.crop_size', index=9,\n number=5, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mirror', full_name='caffe.ImageDataParameter.mirror', index=10,\n number=6, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='root_folder', full_name='caffe.ImageDataParameter.root_folder', index=11,\n number=12, type=9, cpp_type=9, label=1,\n has_default_value=True, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=8012,\n serialized_end=8291,\n)\n\n\n_INFOGAINLOSSPARAMETER = _descriptor.Descriptor(\n name='InfogainLossParameter',\n full_name='caffe.InfogainLossParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='source', full_name='caffe.InfogainLossParameter.source', index=0,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=8293,\n serialized_end=8332,\n)\n\n\n_INNERPRODUCTPARAMETER = _descriptor.Descriptor(\n name='InnerProductParameter',\n full_name='caffe.InnerProductParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='num_output', full_name='caffe.InnerProductParameter.num_output', index=0,\n number=1, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bias_term', full_name='caffe.InnerProductParameter.bias_term', index=1,\n number=2, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=True,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='weight_filler', full_name='caffe.InnerProductParameter.weight_filler', index=2,\n number=3, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bias_filler', full_name='caffe.InnerProductParameter.bias_filler', index=3,\n number=4, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.InnerProductParameter.axis', index=4,\n number=5, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='transpose', full_name='caffe.InnerProductParameter.transpose', index=5,\n number=6, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=8335,\n serialized_end=8538,\n)\n\n\n_INPUTPARAMETER = _descriptor.Descriptor(\n name='InputParameter',\n full_name='caffe.InputParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='shape', full_name='caffe.InputParameter.shape', index=0,\n number=1, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=8540,\n serialized_end=8589,\n)\n\n\n_LOGPARAMETER = _descriptor.Descriptor(\n name='LogParameter',\n full_name='caffe.LogParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='base', full_name='caffe.LogParameter.base', index=0,\n number=1, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(-1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='scale', full_name='caffe.LogParameter.scale', index=1,\n number=2, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='shift', full_name='caffe.LogParameter.shift', index=2,\n number=3, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=8591,\n serialized_end=8659,\n)\n\n\n_LRNPARAMETER = _descriptor.Descriptor(\n name='LRNParameter',\n full_name='caffe.LRNParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='local_size', full_name='caffe.LRNParameter.local_size', index=0,\n number=1, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=5,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='alpha', full_name='caffe.LRNParameter.alpha', index=1,\n number=2, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='beta', full_name='caffe.LRNParameter.beta', index=2,\n number=3, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.75),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='norm_region', full_name='caffe.LRNParameter.norm_region', index=3,\n number=4, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='k', full_name='caffe.LRNParameter.k', index=4,\n number=5, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='engine', full_name='caffe.LRNParameter.engine', index=5,\n number=6, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _LRNPARAMETER_NORMREGION,\n _LRNPARAMETER_ENGINE,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=8662,\n serialized_end=8974,\n)\n\n\n_MEMORYDATAPARAMETER = _descriptor.Descriptor(\n name='MemoryDataParameter',\n full_name='caffe.MemoryDataParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='batch_size', full_name='caffe.MemoryDataParameter.batch_size', index=0,\n number=1, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='channels', full_name='caffe.MemoryDataParameter.channels', index=1,\n number=2, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='height', full_name='caffe.MemoryDataParameter.height', index=2,\n number=3, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='width', full_name='caffe.MemoryDataParameter.width', index=3,\n number=4, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=8976,\n serialized_end=9066,\n)\n\n\n_MVNPARAMETER = _descriptor.Descriptor(\n name='MVNParameter',\n full_name='caffe.MVNParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='normalize_variance', full_name='caffe.MVNParameter.normalize_variance', index=0,\n number=1, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=True,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='across_channels', full_name='caffe.MVNParameter.across_channels', index=1,\n number=2, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='eps', full_name='caffe.MVNParameter.eps', index=2,\n number=3, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1e-09),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=9068,\n serialized_end=9168,\n)\n\n\n_PARAMETERPARAMETER = _descriptor.Descriptor(\n name='ParameterParameter',\n full_name='caffe.ParameterParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='shape', full_name='caffe.ParameterParameter.shape', index=0,\n number=1, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=9170,\n serialized_end=9223,\n)\n\n\n_POOLINGPARAMETER = _descriptor.Descriptor(\n name='PoolingParameter',\n full_name='caffe.PoolingParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='pool', full_name='caffe.PoolingParameter.pool', index=0,\n number=1, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='pad', full_name='caffe.PoolingParameter.pad', index=1,\n number=4, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='pad_h', full_name='caffe.PoolingParameter.pad_h', index=2,\n number=9, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='pad_w', full_name='caffe.PoolingParameter.pad_w', index=3,\n number=10, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='kernel_size', full_name='caffe.PoolingParameter.kernel_size', index=4,\n number=2, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='kernel_h', full_name='caffe.PoolingParameter.kernel_h', index=5,\n number=5, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='kernel_w', full_name='caffe.PoolingParameter.kernel_w', index=6,\n number=6, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='stride', full_name='caffe.PoolingParameter.stride', index=7,\n number=3, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='stride_h', full_name='caffe.PoolingParameter.stride_h', index=8,\n number=7, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='stride_w', full_name='caffe.PoolingParameter.stride_w', index=9,\n number=8, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='engine', full_name='caffe.PoolingParameter.engine', index=10,\n number=11, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='global_pooling', full_name='caffe.PoolingParameter.global_pooling', index=11,\n number=12, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _POOLINGPARAMETER_POOLMETHOD,\n _POOLINGPARAMETER_ENGINE,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=9226,\n serialized_end=9644,\n)\n\n\n_POWERPARAMETER = _descriptor.Descriptor(\n name='PowerParameter',\n full_name='caffe.PowerParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='power', full_name='caffe.PowerParameter.power', index=0,\n number=1, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='scale', full_name='caffe.PowerParameter.scale', index=1,\n number=2, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='shift', full_name='caffe.PowerParameter.shift', index=2,\n number=3, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=9646,\n serialized_end=9716,\n)\n\n\n_PYTHONPARAMETER = _descriptor.Descriptor(\n name='PythonParameter',\n full_name='caffe.PythonParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='module', full_name='caffe.PythonParameter.module', index=0,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='layer', full_name='caffe.PythonParameter.layer', index=1,\n number=2, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='param_str', full_name='caffe.PythonParameter.param_str', index=2,\n number=3, type=9, cpp_type=9, label=1,\n has_default_value=True, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='share_in_parallel', full_name='caffe.PythonParameter.share_in_parallel', index=3,\n number=4, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=9718,\n serialized_end=9821,\n)\n\n\n_RECURRENTPARAMETER = _descriptor.Descriptor(\n name='RecurrentParameter',\n full_name='caffe.RecurrentParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='num_output', full_name='caffe.RecurrentParameter.num_output', index=0,\n number=1, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='weight_filler', full_name='caffe.RecurrentParameter.weight_filler', index=1,\n number=2, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bias_filler', full_name='caffe.RecurrentParameter.bias_filler', index=2,\n number=3, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='debug_info', full_name='caffe.RecurrentParameter.debug_info', index=3,\n number=4, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='expose_hidden', full_name='caffe.RecurrentParameter.expose_hidden', index=4,\n number=5, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=9824,\n serialized_end=10016,\n)\n\n\n_REDUCTIONPARAMETER = _descriptor.Descriptor(\n name='ReductionParameter',\n full_name='caffe.ReductionParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='operation', full_name='caffe.ReductionParameter.operation', index=0,\n number=1, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.ReductionParameter.axis', index=1,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='coeff', full_name='caffe.ReductionParameter.coeff', index=2,\n number=3, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _REDUCTIONPARAMETER_REDUCTIONOP,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=10019,\n serialized_end=10192,\n)\n\n\n_RELUPARAMETER = _descriptor.Descriptor(\n name='ReLUParameter',\n full_name='caffe.ReLUParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='negative_slope', full_name='caffe.ReLUParameter.negative_slope', index=0,\n number=1, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='engine', full_name='caffe.ReLUParameter.engine', index=1,\n number=2, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _RELUPARAMETER_ENGINE,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=10195,\n serialized_end=10336,\n)\n\n\n_RESHAPEPARAMETER = _descriptor.Descriptor(\n name='ReshapeParameter',\n full_name='caffe.ReshapeParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='shape', full_name='caffe.ReshapeParameter.shape', index=0,\n number=1, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.ReshapeParameter.axis', index=1,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='num_axes', full_name='caffe.ReshapeParameter.num_axes', index=2,\n number=3, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=-1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=10338,\n serialized_end=10428,\n)\n\n\n_SCALEPARAMETER = _descriptor.Descriptor(\n name='ScaleParameter',\n full_name='caffe.ScaleParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.ScaleParameter.axis', index=0,\n number=1, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='num_axes', full_name='caffe.ScaleParameter.num_axes', index=1,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='filler', full_name='caffe.ScaleParameter.filler', index=2,\n number=3, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bias_term', full_name='caffe.ScaleParameter.bias_term', index=3,\n number=4, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bias_filler', full_name='caffe.ScaleParameter.bias_filler', index=4,\n number=5, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=10431,\n serialized_end=10596,\n)\n\n\n_SIGMOIDPARAMETER = _descriptor.Descriptor(\n name='SigmoidParameter',\n full_name='caffe.SigmoidParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='engine', full_name='caffe.SigmoidParameter.engine', index=0,\n number=1, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _SIGMOIDPARAMETER_ENGINE,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=10598,\n serialized_end=10718,\n)\n\n\n_SLICEPARAMETER = _descriptor.Descriptor(\n name='SliceParameter',\n full_name='caffe.SliceParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.SliceParameter.axis', index=0,\n number=3, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='slice_point', full_name='caffe.SliceParameter.slice_point', index=1,\n number=2, type=13, cpp_type=3, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='slice_dim', full_name='caffe.SliceParameter.slice_dim', index=2,\n number=1, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=10720,\n serialized_end=10796,\n)\n\n\n_SOFTMAXPARAMETER = _descriptor.Descriptor(\n name='SoftmaxParameter',\n full_name='caffe.SoftmaxParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='engine', full_name='caffe.SoftmaxParameter.engine', index=0,\n number=1, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.SoftmaxParameter.axis', index=1,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _SOFTMAXPARAMETER_ENGINE,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=10799,\n serialized_end=10936,\n)\n\n\n_TANHPARAMETER = _descriptor.Descriptor(\n name='TanHParameter',\n full_name='caffe.TanHParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='engine', full_name='caffe.TanHParameter.engine', index=0,\n number=1, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _TANHPARAMETER_ENGINE,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=10938,\n serialized_end=11052,\n)\n\n\n_TILEPARAMETER = _descriptor.Descriptor(\n name='TileParameter',\n full_name='caffe.TileParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='axis', full_name='caffe.TileParameter.axis', index=0,\n number=1, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='tiles', full_name='caffe.TileParameter.tiles', index=1,\n number=2, type=5, cpp_type=1, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=11054,\n serialized_end=11101,\n)\n\n\n_THRESHOLDPARAMETER = _descriptor.Descriptor(\n name='ThresholdParameter',\n full_name='caffe.ThresholdParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='threshold', full_name='caffe.ThresholdParameter.threshold', index=0,\n number=1, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=11103,\n serialized_end=11145,\n)\n\n\n_WINDOWDATAPARAMETER = _descriptor.Descriptor(\n name='WindowDataParameter',\n full_name='caffe.WindowDataParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='source', full_name='caffe.WindowDataParameter.source', index=0,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='scale', full_name='caffe.WindowDataParameter.scale', index=1,\n number=2, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mean_file', full_name='caffe.WindowDataParameter.mean_file', index=2,\n number=3, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='batch_size', full_name='caffe.WindowDataParameter.batch_size', index=3,\n number=4, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='crop_size', full_name='caffe.WindowDataParameter.crop_size', index=4,\n number=5, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mirror', full_name='caffe.WindowDataParameter.mirror', index=5,\n number=6, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='fg_threshold', full_name='caffe.WindowDataParameter.fg_threshold', index=6,\n number=7, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.5),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bg_threshold', full_name='caffe.WindowDataParameter.bg_threshold', index=7,\n number=8, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.5),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='fg_fraction', full_name='caffe.WindowDataParameter.fg_fraction', index=8,\n number=9, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.25),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='context_pad', full_name='caffe.WindowDataParameter.context_pad', index=9,\n number=10, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='crop_mode', full_name='caffe.WindowDataParameter.crop_mode', index=10,\n number=11, type=9, cpp_type=9, label=1,\n has_default_value=True, default_value=_b(\"warp\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='cache_images', full_name='caffe.WindowDataParameter.cache_images', index=11,\n number=12, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='root_folder', full_name='caffe.WindowDataParameter.root_folder', index=12,\n number=13, type=9, cpp_type=9, label=1,\n has_default_value=True, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=11148,\n serialized_end=11469,\n)\n\n\n_SPPPARAMETER = _descriptor.Descriptor(\n name='SPPParameter',\n full_name='caffe.SPPParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='pyramid_height', full_name='caffe.SPPParameter.pyramid_height', index=0,\n number=1, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='pool', full_name='caffe.SPPParameter.pool', index=1,\n number=2, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='engine', full_name='caffe.SPPParameter.engine', index=2,\n number=6, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _SPPPARAMETER_POOLMETHOD,\n _SPPPARAMETER_ENGINE,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=11472,\n serialized_end=11707,\n)\n\n\n_V1LAYERPARAMETER = _descriptor.Descriptor(\n name='V1LayerParameter',\n full_name='caffe.V1LayerParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='bottom', full_name='caffe.V1LayerParameter.bottom', index=0,\n number=2, type=9, cpp_type=9, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='top', full_name='caffe.V1LayerParameter.top', index=1,\n number=3, type=9, cpp_type=9, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='name', full_name='caffe.V1LayerParameter.name', index=2,\n number=4, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='include', full_name='caffe.V1LayerParameter.include', index=3,\n number=32, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='exclude', full_name='caffe.V1LayerParameter.exclude', index=4,\n number=33, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='type', full_name='caffe.V1LayerParameter.type', index=5,\n number=5, type=14, cpp_type=8, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='blobs', full_name='caffe.V1LayerParameter.blobs', index=6,\n number=6, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='param', full_name='caffe.V1LayerParameter.param', index=7,\n number=1001, type=9, cpp_type=9, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='blob_share_mode', full_name='caffe.V1LayerParameter.blob_share_mode', index=8,\n number=1002, type=14, cpp_type=8, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='blobs_lr', full_name='caffe.V1LayerParameter.blobs_lr', index=9,\n number=7, type=2, cpp_type=6, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='weight_decay', full_name='caffe.V1LayerParameter.weight_decay', index=10,\n number=8, type=2, cpp_type=6, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='loss_weight', full_name='caffe.V1LayerParameter.loss_weight', index=11,\n number=35, type=2, cpp_type=6, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='accuracy_param', full_name='caffe.V1LayerParameter.accuracy_param', index=12,\n number=27, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='argmax_param', full_name='caffe.V1LayerParameter.argmax_param', index=13,\n number=23, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='concat_param', full_name='caffe.V1LayerParameter.concat_param', index=14,\n number=9, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='contrastive_loss_param', full_name='caffe.V1LayerParameter.contrastive_loss_param', index=15,\n number=40, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='convolution_param', full_name='caffe.V1LayerParameter.convolution_param', index=16,\n number=10, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='data_param', full_name='caffe.V1LayerParameter.data_param', index=17,\n number=11, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='dropout_param', full_name='caffe.V1LayerParameter.dropout_param', index=18,\n number=12, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='dummy_data_param', full_name='caffe.V1LayerParameter.dummy_data_param', index=19,\n number=26, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='eltwise_param', full_name='caffe.V1LayerParameter.eltwise_param', index=20,\n number=24, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='exp_param', full_name='caffe.V1LayerParameter.exp_param', index=21,\n number=41, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='hdf5_data_param', full_name='caffe.V1LayerParameter.hdf5_data_param', index=22,\n number=13, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='hdf5_output_param', full_name='caffe.V1LayerParameter.hdf5_output_param', index=23,\n number=14, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='hinge_loss_param', full_name='caffe.V1LayerParameter.hinge_loss_param', index=24,\n number=29, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='image_data_param', full_name='caffe.V1LayerParameter.image_data_param', index=25,\n number=15, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='infogain_loss_param', full_name='caffe.V1LayerParameter.infogain_loss_param', index=26,\n number=16, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='inner_product_param', full_name='caffe.V1LayerParameter.inner_product_param', index=27,\n number=17, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='lrn_param', full_name='caffe.V1LayerParameter.lrn_param', index=28,\n number=18, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='memory_data_param', full_name='caffe.V1LayerParameter.memory_data_param', index=29,\n number=22, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mvn_param', full_name='caffe.V1LayerParameter.mvn_param', index=30,\n number=34, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='pooling_param', full_name='caffe.V1LayerParameter.pooling_param', index=31,\n number=19, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='power_param', full_name='caffe.V1LayerParameter.power_param', index=32,\n number=21, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='relu_param', full_name='caffe.V1LayerParameter.relu_param', index=33,\n number=30, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='sigmoid_param', full_name='caffe.V1LayerParameter.sigmoid_param', index=34,\n number=38, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='softmax_param', full_name='caffe.V1LayerParameter.softmax_param', index=35,\n number=39, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='slice_param', full_name='caffe.V1LayerParameter.slice_param', index=36,\n number=31, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='tanh_param', full_name='caffe.V1LayerParameter.tanh_param', index=37,\n number=37, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='threshold_param', full_name='caffe.V1LayerParameter.threshold_param', index=38,\n number=25, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='window_data_param', full_name='caffe.V1LayerParameter.window_data_param', index=39,\n number=20, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='transform_param', full_name='caffe.V1LayerParameter.transform_param', index=40,\n number=36, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='loss_param', full_name='caffe.V1LayerParameter.loss_param', index=41,\n number=42, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='layer', full_name='caffe.V1LayerParameter.layer', index=42,\n number=1, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _V1LAYERPARAMETER_LAYERTYPE,\n _V1LAYERPARAMETER_DIMCHECKMODE,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=11710,\n serialized_end=14238,\n)\n\n\n_V0LAYERPARAMETER = _descriptor.Descriptor(\n name='V0LayerParameter',\n full_name='caffe.V0LayerParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='name', full_name='caffe.V0LayerParameter.name', index=0,\n number=1, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='type', full_name='caffe.V0LayerParameter.type', index=1,\n number=2, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='num_output', full_name='caffe.V0LayerParameter.num_output', index=2,\n number=3, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='biasterm', full_name='caffe.V0LayerParameter.biasterm', index=3,\n number=4, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=True,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='weight_filler', full_name='caffe.V0LayerParameter.weight_filler', index=4,\n number=5, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='bias_filler', full_name='caffe.V0LayerParameter.bias_filler', index=5,\n number=6, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='pad', full_name='caffe.V0LayerParameter.pad', index=6,\n number=7, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='kernelsize', full_name='caffe.V0LayerParameter.kernelsize', index=7,\n number=8, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='group', full_name='caffe.V0LayerParameter.group', index=8,\n number=9, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='stride', full_name='caffe.V0LayerParameter.stride', index=9,\n number=10, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='pool', full_name='caffe.V0LayerParameter.pool', index=10,\n number=11, type=14, cpp_type=8, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='dropout_ratio', full_name='caffe.V0LayerParameter.dropout_ratio', index=11,\n number=12, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.5),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='local_size', full_name='caffe.V0LayerParameter.local_size', index=12,\n number=13, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=5,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='alpha', full_name='caffe.V0LayerParameter.alpha', index=13,\n number=14, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='beta', full_name='caffe.V0LayerParameter.beta', index=14,\n number=15, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.75),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='k', full_name='caffe.V0LayerParameter.k', index=15,\n number=22, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='source', full_name='caffe.V0LayerParameter.source', index=16,\n number=16, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='scale', full_name='caffe.V0LayerParameter.scale', index=17,\n number=17, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(1),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='meanfile', full_name='caffe.V0LayerParameter.meanfile', index=18,\n number=18, type=9, cpp_type=9, label=1,\n has_default_value=False, default_value=_b(\"\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='batchsize', full_name='caffe.V0LayerParameter.batchsize', index=19,\n number=19, type=13, cpp_type=3, label=1,\n has_default_value=False, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='cropsize', full_name='caffe.V0LayerParameter.cropsize', index=20,\n number=20, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='mirror', full_name='caffe.V0LayerParameter.mirror', index=21,\n number=21, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='blobs', full_name='caffe.V0LayerParameter.blobs', index=22,\n number=50, type=11, cpp_type=10, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='blobs_lr', full_name='caffe.V0LayerParameter.blobs_lr', index=23,\n number=51, type=2, cpp_type=6, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='weight_decay', full_name='caffe.V0LayerParameter.weight_decay', index=24,\n number=52, type=2, cpp_type=6, label=3,\n has_default_value=False, default_value=[],\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='rand_skip', full_name='caffe.V0LayerParameter.rand_skip', index=25,\n number=53, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='det_fg_threshold', full_name='caffe.V0LayerParameter.det_fg_threshold', index=26,\n number=54, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.5),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='det_bg_threshold', full_name='caffe.V0LayerParameter.det_bg_threshold', index=27,\n number=55, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.5),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='det_fg_fraction', full_name='caffe.V0LayerParameter.det_fg_fraction', index=28,\n number=56, type=2, cpp_type=6, label=1,\n has_default_value=True, default_value=float(0.25),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='det_context_pad', full_name='caffe.V0LayerParameter.det_context_pad', index=29,\n number=58, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='det_crop_mode', full_name='caffe.V0LayerParameter.det_crop_mode', index=30,\n number=59, type=9, cpp_type=9, label=1,\n has_default_value=True, default_value=_b(\"warp\").decode('utf-8'),\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='new_num', full_name='caffe.V0LayerParameter.new_num', index=31,\n number=60, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='new_channels', full_name='caffe.V0LayerParameter.new_channels', index=32,\n number=61, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='new_height', full_name='caffe.V0LayerParameter.new_height', index=33,\n number=62, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='new_width', full_name='caffe.V0LayerParameter.new_width', index=34,\n number=63, type=5, cpp_type=1, label=1,\n has_default_value=True, default_value=0,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='shuffle_images', full_name='caffe.V0LayerParameter.shuffle_images', index=35,\n number=64, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='concat_dim', full_name='caffe.V0LayerParameter.concat_dim', index=36,\n number=65, type=13, cpp_type=3, label=1,\n has_default_value=True, default_value=1,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='hdf5_output_param', full_name='caffe.V0LayerParameter.hdf5_output_param', index=37,\n number=1001, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n _V0LAYERPARAMETER_POOLMETHOD,\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=14241,\n serialized_end=15262,\n)\n\n\n_PRELUPARAMETER = _descriptor.Descriptor(\n name='PReLUParameter',\n full_name='caffe.PReLUParameter',\n filename=None,\n file=DESCRIPTOR,\n containing_type=None,\n fields=[\n _descriptor.FieldDescriptor(\n name='filler', full_name='caffe.PReLUParameter.filler', index=0,\n number=1, type=11, cpp_type=10, label=1,\n has_default_value=False, default_value=None,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n _descriptor.FieldDescriptor(\n name='channel_shared', full_name='caffe.PReLUParameter.channel_shared', index=1,\n number=2, type=8, cpp_type=7, label=1,\n has_default_value=True, default_value=False,\n message_type=None, enum_type=None, containing_type=None,\n is_extension=False, extension_scope=None,\n options=None),\n ],\n extensions=[\n ],\n nested_types=[],\n enum_types=[\n ],\n options=None,\n is_extendable=False,\n syntax='proto2',\n extension_ranges=[],\n oneofs=[\n ],\n serialized_start=15264,\n serialized_end=15351,\n)\n\n_BLOBPROTO.fields_by_name['shape'].message_type = _BLOBSHAPE\n_BLOBPROTOVECTOR.fields_by_name['blobs'].message_type = _BLOBPROTO\n_FILLERPARAMETER.fields_by_name['variance_norm'].enum_type = _FILLERPARAMETER_VARIANCENORM\n_FILLERPARAMETER_VARIANCENORM.containing_type = _FILLERPARAMETER\n_NETPARAMETER.fields_by_name['input_shape'].message_type = _BLOBSHAPE\n_NETPARAMETER.fields_by_name['state'].message_type = _NETSTATE\n_NETPARAMETER.fields_by_name['layer'].message_type = _LAYERPARAMETER\n_NETPARAMETER.fields_by_name['layers'].message_type = _V1LAYERPARAMETER\n_SOLVERPARAMETER.fields_by_name['net_param'].message_type = _NETPARAMETER\n_SOLVERPARAMETER.fields_by_name['train_net_param'].message_type = _NETPARAMETER\n_SOLVERPARAMETER.fields_by_name['test_net_param'].message_type = _NETPARAMETER\n_SOLVERPARAMETER.fields_by_name['train_state'].message_type = _NETSTATE\n_SOLVERPARAMETER.fields_by_name['test_state'].message_type = _NETSTATE\n_SOLVERPARAMETER.fields_by_name['snapshot_format'].enum_type = _SOLVERPARAMETER_SNAPSHOTFORMAT\n_SOLVERPARAMETER.fields_by_name['solver_mode'].enum_type = _SOLVERPARAMETER_SOLVERMODE\n_SOLVERPARAMETER.fields_by_name['solver_type'].enum_type = _SOLVERPARAMETER_SOLVERTYPE\n_SOLVERPARAMETER_SNAPSHOTFORMAT.containing_type = _SOLVERPARAMETER\n_SOLVERPARAMETER_SOLVERMODE.containing_type = _SOLVERPARAMETER\n_SOLVERPARAMETER_SOLVERTYPE.containing_type = _SOLVERPARAMETER\n_SOLVERSTATE.fields_by_name['history'].message_type = _BLOBPROTO\n_NETSTATE.fields_by_name['phase'].enum_type = _PHASE\n_NETSTATERULE.fields_by_name['phase'].enum_type = _PHASE\n_PARAMSPEC.fields_by_name['share_mode'].enum_type = _PARAMSPEC_DIMCHECKMODE\n_PARAMSPEC_DIMCHECKMODE.containing_type = _PARAMSPEC\n_LAYERPARAMETER.fields_by_name['phase'].enum_type = _PHASE\n_LAYERPARAMETER.fields_by_name['param'].message_type = _PARAMSPEC\n_LAYERPARAMETER.fields_by_name['blobs'].message_type = _BLOBPROTO\n_LAYERPARAMETER.fields_by_name['include'].message_type = _NETSTATERULE\n_LAYERPARAMETER.fields_by_name['exclude'].message_type = _NETSTATERULE\n_LAYERPARAMETER.fields_by_name['transform_param'].message_type = _TRANSFORMATIONPARAMETER\n_LAYERPARAMETER.fields_by_name['loss_param'].message_type = _LOSSPARAMETER\n_LAYERPARAMETER.fields_by_name['accuracy_param'].message_type = _ACCURACYPARAMETER\n_LAYERPARAMETER.fields_by_name['argmax_param'].message_type = _ARGMAXPARAMETER\n_LAYERPARAMETER.fields_by_name['batch_norm_param'].message_type = _BATCHNORMPARAMETER\n_LAYERPARAMETER.fields_by_name['bias_param'].message_type = _BIASPARAMETER\n_LAYERPARAMETER.fields_by_name['concat_param'].message_type = _CONCATPARAMETER\n_LAYERPARAMETER.fields_by_name['contrastive_loss_param'].message_type = _CONTRASTIVELOSSPARAMETER\n_LAYERPARAMETER.fields_by_name['convolution_param'].message_type = _CONVOLUTIONPARAMETER\n_LAYERPARAMETER.fields_by_name['crop_param'].message_type = _CROPPARAMETER\n_LAYERPARAMETER.fields_by_name['data_param'].message_type = _DATAPARAMETER\n_LAYERPARAMETER.fields_by_name['dropout_param'].message_type = _DROPOUTPARAMETER\n_LAYERPARAMETER.fields_by_name['dummy_data_param'].message_type = _DUMMYDATAPARAMETER\n_LAYERPARAMETER.fields_by_name['eltwise_param'].message_type = _ELTWISEPARAMETER\n_LAYERPARAMETER.fields_by_name['elu_param'].message_type = _ELUPARAMETER\n_LAYERPARAMETER.fields_by_name['embed_param'].message_type = _EMBEDPARAMETER\n_LAYERPARAMETER.fields_by_name['exp_param'].message_type = _EXPPARAMETER\n_LAYERPARAMETER.fields_by_name['flatten_param'].message_type = _FLATTENPARAMETER\n_LAYERPARAMETER.fields_by_name['hdf5_data_param'].message_type = _HDF5DATAPARAMETER\n_LAYERPARAMETER.fields_by_name['hdf5_output_param'].message_type = _HDF5OUTPUTPARAMETER\n_LAYERPARAMETER.fields_by_name['hinge_loss_param'].message_type = _HINGELOSSPARAMETER\n_LAYERPARAMETER.fields_by_name['image_data_param'].message_type = _IMAGEDATAPARAMETER\n_LAYERPARAMETER.fields_by_name['infogain_loss_param'].message_type = _INFOGAINLOSSPARAMETER\n_LAYERPARAMETER.fields_by_name['inner_product_param'].message_type = _INNERPRODUCTPARAMETER\n_LAYERPARAMETER.fields_by_name['input_param'].message_type = _INPUTPARAMETER\n_LAYERPARAMETER.fields_by_name['log_param'].message_type = _LOGPARAMETER\n_LAYERPARAMETER.fields_by_name['lrn_param'].message_type = _LRNPARAMETER\n_LAYERPARAMETER.fields_by_name['memory_data_param'].message_type = _MEMORYDATAPARAMETER\n_LAYERPARAMETER.fields_by_name['mvn_param'].message_type = _MVNPARAMETER\n_LAYERPARAMETER.fields_by_name['parameter_param'].message_type = _PARAMETERPARAMETER\n_LAYERPARAMETER.fields_by_name['pooling_param'].message_type = _POOLINGPARAMETER\n_LAYERPARAMETER.fields_by_name['power_param'].message_type = _POWERPARAMETER\n_LAYERPARAMETER.fields_by_name['prelu_param'].message_type = _PRELUPARAMETER\n_LAYERPARAMETER.fields_by_name['python_param'].message_type = _PYTHONPARAMETER\n_LAYERPARAMETER.fields_by_name['recurrent_param'].message_type = _RECURRENTPARAMETER\n_LAYERPARAMETER.fields_by_name['reduction_param'].message_type = _REDUCTIONPARAMETER\n_LAYERPARAMETER.fields_by_name['relu_param'].message_type = _RELUPARAMETER\n_LAYERPARAMETER.fields_by_name['reshape_param'].message_type = _RESHAPEPARAMETER\n_LAYERPARAMETER.fields_by_name['scale_param'].message_type = _SCALEPARAMETER\n_LAYERPARAMETER.fields_by_name['sigmoid_param'].message_type = _SIGMOIDPARAMETER\n_LAYERPARAMETER.fields_by_name['softmax_param'].message_type = _SOFTMAXPARAMETER\n_LAYERPARAMETER.fields_by_name['spp_param'].message_type = _SPPPARAMETER\n_LAYERPARAMETER.fields_by_name['slice_param'].message_type = _SLICEPARAMETER\n_LAYERPARAMETER.fields_by_name['tanh_param'].message_type = _TANHPARAMETER\n_LAYERPARAMETER.fields_by_name['threshold_param'].message_type = _THRESHOLDPARAMETER\n_LAYERPARAMETER.fields_by_name['tile_param'].message_type = _TILEPARAMETER\n_LAYERPARAMETER.fields_by_name['window_data_param'].message_type = _WINDOWDATAPARAMETER\n_LOSSPARAMETER.fields_by_name['normalization'].enum_type = _LOSSPARAMETER_NORMALIZATIONMODE\n_LOSSPARAMETER_NORMALIZATIONMODE.containing_type = _LOSSPARAMETER\n_BIASPARAMETER.fields_by_name['filler'].message_type = _FILLERPARAMETER\n_CONVOLUTIONPARAMETER.fields_by_name['weight_filler'].message_type = _FILLERPARAMETER\n_CONVOLUTIONPARAMETER.fields_by_name['bias_filler'].message_type = _FILLERPARAMETER\n_CONVOLUTIONPARAMETER.fields_by_name['engine'].enum_type = _CONVOLUTIONPARAMETER_ENGINE\n_CONVOLUTIONPARAMETER_ENGINE.containing_type = _CONVOLUTIONPARAMETER\n_DATAPARAMETER.fields_by_name['backend'].enum_type = _DATAPARAMETER_DB\n_DATAPARAMETER_DB.containing_type = _DATAPARAMETER\n_DUMMYDATAPARAMETER.fields_by_name['data_filler'].message_type = _FILLERPARAMETER\n_DUMMYDATAPARAMETER.fields_by_name['shape'].message_type = _BLOBSHAPE\n_ELTWISEPARAMETER.fields_by_name['operation'].enum_type = _ELTWISEPARAMETER_ELTWISEOP\n_ELTWISEPARAMETER_ELTWISEOP.containing_type = _ELTWISEPARAMETER\n_EMBEDPARAMETER.fields_by_name['weight_filler'].message_type = _FILLERPARAMETER\n_EMBEDPARAMETER.fields_by_name['bias_filler'].message_type = _FILLERPARAMETER\n_HINGELOSSPARAMETER.fields_by_name['norm'].enum_type = _HINGELOSSPARAMETER_NORM\n_HINGELOSSPARAMETER_NORM.containing_type = _HINGELOSSPARAMETER\n_INNERPRODUCTPARAMETER.fields_by_name['weight_filler'].message_type = _FILLERPARAMETER\n_INNERPRODUCTPARAMETER.fields_by_name['bias_filler'].message_type = _FILLERPARAMETER\n_INPUTPARAMETER.fields_by_name['shape'].message_type = _BLOBSHAPE\n_LRNPARAMETER.fields_by_name['norm_region'].enum_type = _LRNPARAMETER_NORMREGION\n_LRNPARAMETER.fields_by_name['engine'].enum_type = _LRNPARAMETER_ENGINE\n_LRNPARAMETER_NORMREGION.containing_type = _LRNPARAMETER\n_LRNPARAMETER_ENGINE.containing_type = _LRNPARAMETER\n_PARAMETERPARAMETER.fields_by_name['shape'].message_type = _BLOBSHAPE\n_POOLINGPARAMETER.fields_by_name['pool'].enum_type = _POOLINGPARAMETER_POOLMETHOD\n_POOLINGPARAMETER.fields_by_name['engine'].enum_type = _POOLINGPARAMETER_ENGINE\n_POOLINGPARAMETER_POOLMETHOD.containing_type = _POOLINGPARAMETER\n_POOLINGPARAMETER_ENGINE.containing_type = _POOLINGPARAMETER\n_RECURRENTPARAMETER.fields_by_name['weight_filler'].message_type = _FILLERPARAMETER\n_RECURRENTPARAMETER.fields_by_name['bias_filler'].message_type = _FILLERPARAMETER\n_REDUCTIONPARAMETER.fields_by_name['operation'].enum_type = _REDUCTIONPARAMETER_REDUCTIONOP\n_REDUCTIONPARAMETER_REDUCTIONOP.containing_type = _REDUCTIONPARAMETER\n_RELUPARAMETER.fields_by_name['engine'].enum_type = _RELUPARAMETER_ENGINE\n_RELUPARAMETER_ENGINE.containing_type = _RELUPARAMETER\n_RESHAPEPARAMETER.fields_by_name['shape'].message_type = _BLOBSHAPE\n_SCALEPARAMETER.fields_by_name['filler'].message_type = _FILLERPARAMETER\n_SCALEPARAMETER.fields_by_name['bias_filler'].message_type = _FILLERPARAMETER\n_SIGMOIDPARAMETER.fields_by_name['engine'].enum_type = _SIGMOIDPARAMETER_ENGINE\n_SIGMOIDPARAMETER_ENGINE.containing_type = _SIGMOIDPARAMETER\n_SOFTMAXPARAMETER.fields_by_name['engine'].enum_type = _SOFTMAXPARAMETER_ENGINE\n_SOFTMAXPARAMETER_ENGINE.containing_type = _SOFTMAXPARAMETER\n_TANHPARAMETER.fields_by_name['engine'].enum_type = _TANHPARAMETER_ENGINE\n_TANHPARAMETER_ENGINE.containing_type = _TANHPARAMETER\n_SPPPARAMETER.fields_by_name['pool'].enum_type = _SPPPARAMETER_POOLMETHOD\n_SPPPARAMETER.fields_by_name['engine'].enum_type = _SPPPARAMETER_ENGINE\n_SPPPARAMETER_POOLMETHOD.containing_type = _SPPPARAMETER\n_SPPPARAMETER_ENGINE.containing_type = _SPPPARAMETER\n_V1LAYERPARAMETER.fields_by_name['include'].message_type = _NETSTATERULE\n_V1LAYERPARAMETER.fields_by_name['exclude'].message_type = _NETSTATERULE\n_V1LAYERPARAMETER.fields_by_name['type'].enum_type = _V1LAYERPARAMETER_LAYERTYPE\n_V1LAYERPARAMETER.fields_by_name['blobs'].message_type = _BLOBPROTO\n_V1LAYERPARAMETER.fields_by_name['blob_share_mode'].enum_type = _V1LAYERPARAMETER_DIMCHECKMODE\n_V1LAYERPARAMETER.fields_by_name['accuracy_param'].message_type = _ACCURACYPARAMETER\n_V1LAYERPARAMETER.fields_by_name['argmax_param'].message_type = _ARGMAXPARAMETER\n_V1LAYERPARAMETER.fields_by_name['concat_param'].message_type = _CONCATPARAMETER\n_V1LAYERPARAMETER.fields_by_name['contrastive_loss_param'].message_type = _CONTRASTIVELOSSPARAMETER\n_V1LAYERPARAMETER.fields_by_name['convolution_param'].message_type = _CONVOLUTIONPARAMETER\n_V1LAYERPARAMETER.fields_by_name['data_param'].message_type = _DATAPARAMETER\n_V1LAYERPARAMETER.fields_by_name['dropout_param'].message_type = _DROPOUTPARAMETER\n_V1LAYERPARAMETER.fields_by_name['dummy_data_param'].message_type = _DUMMYDATAPARAMETER\n_V1LAYERPARAMETER.fields_by_name['eltwise_param'].message_type = _ELTWISEPARAMETER\n_V1LAYERPARAMETER.fields_by_name['exp_param'].message_type = _EXPPARAMETER\n_V1LAYERPARAMETER.fields_by_name['hdf5_data_param'].message_type = _HDF5DATAPARAMETER\n_V1LAYERPARAMETER.fields_by_name['hdf5_output_param'].message_type = _HDF5OUTPUTPARAMETER\n_V1LAYERPARAMETER.fields_by_name['hinge_loss_param'].message_type = _HINGELOSSPARAMETER\n_V1LAYERPARAMETER.fields_by_name['image_data_param'].message_type = _IMAGEDATAPARAMETER\n_V1LAYERPARAMETER.fields_by_name['infogain_loss_param'].message_type = _INFOGAINLOSSPARAMETER\n_V1LAYERPARAMETER.fields_by_name['inner_product_param'].message_type = _INNERPRODUCTPARAMETER\n_V1LAYERPARAMETER.fields_by_name['lrn_param'].message_type = _LRNPARAMETER\n_V1LAYERPARAMETER.fields_by_name['memory_data_param'].message_type = _MEMORYDATAPARAMETER\n_V1LAYERPARAMETER.fields_by_name['mvn_param'].message_type = _MVNPARAMETER\n_V1LAYERPARAMETER.fields_by_name['pooling_param'].message_type = _POOLINGPARAMETER\n_V1LAYERPARAMETER.fields_by_name['power_param'].message_type = _POWERPARAMETER\n_V1LAYERPARAMETER.fields_by_name['relu_param'].message_type = _RELUPARAMETER\n_V1LAYERPARAMETER.fields_by_name['sigmoid_param'].message_type = _SIGMOIDPARAMETER\n_V1LAYERPARAMETER.fields_by_name['softmax_param'].message_type = _SOFTMAXPARAMETER\n_V1LAYERPARAMETER.fields_by_name['slice_param'].message_type = _SLICEPARAMETER\n_V1LAYERPARAMETER.fields_by_name['tanh_param'].message_type = _TANHPARAMETER\n_V1LAYERPARAMETER.fields_by_name['threshold_param'].message_type = _THRESHOLDPARAMETER\n_V1LAYERPARAMETER.fields_by_name['window_data_param'].message_type = _WINDOWDATAPARAMETER\n_V1LAYERPARAMETER.fields_by_name['transform_param'].message_type = _TRANSFORMATIONPARAMETER\n_V1LAYERPARAMETER.fields_by_name['loss_param'].message_type = _LOSSPARAMETER\n_V1LAYERPARAMETER.fields_by_name['layer'].message_type = _V0LAYERPARAMETER\n_V1LAYERPARAMETER_LAYERTYPE.containing_type = _V1LAYERPARAMETER\n_V1LAYERPARAMETER_DIMCHECKMODE.containing_type = _V1LAYERPARAMETER\n_V0LAYERPARAMETER.fields_by_name['weight_filler'].message_type = _FILLERPARAMETER\n_V0LAYERPARAMETER.fields_by_name['bias_filler'].message_type = _FILLERPARAMETER\n_V0LAYERPARAMETER.fields_by_name['pool'].enum_type = _V0LAYERPARAMETER_POOLMETHOD\n_V0LAYERPARAMETER.fields_by_name['blobs'].message_type = _BLOBPROTO\n_V0LAYERPARAMETER.fields_by_name['hdf5_output_param'].message_type = _HDF5OUTPUTPARAMETER\n_V0LAYERPARAMETER_POOLMETHOD.containing_type = _V0LAYERPARAMETER\n_PRELUPARAMETER.fields_by_name['filler'].message_type = _FILLERPARAMETER\nDESCRIPTOR.message_types_by_name['BlobShape'] = _BLOBSHAPE\nDESCRIPTOR.message_types_by_name['BlobProto'] = _BLOBPROTO\nDESCRIPTOR.message_types_by_name['BlobProtoVector'] = _BLOBPROTOVECTOR\nDESCRIPTOR.message_types_by_name['Datum'] = _DATUM\nDESCRIPTOR.message_types_by_name['FillerParameter'] = _FILLERPARAMETER\nDESCRIPTOR.message_types_by_name['NetParameter'] = _NETPARAMETER\nDESCRIPTOR.message_types_by_name['SolverParameter'] = _SOLVERPARAMETER\nDESCRIPTOR.message_types_by_name['SolverState'] = _SOLVERSTATE\nDESCRIPTOR.message_types_by_name['NetState'] = _NETSTATE\nDESCRIPTOR.message_types_by_name['NetStateRule'] = _NETSTATERULE\nDESCRIPTOR.message_types_by_name['ParamSpec'] = _PARAMSPEC\nDESCRIPTOR.message_types_by_name['LayerParameter'] = _LAYERPARAMETER\nDESCRIPTOR.message_types_by_name['TransformationParameter'] = _TRANSFORMATIONPARAMETER\nDESCRIPTOR.message_types_by_name['LossParameter'] = _LOSSPARAMETER\nDESCRIPTOR.message_types_by_name['AccuracyParameter'] = _ACCURACYPARAMETER\nDESCRIPTOR.message_types_by_name['ArgMaxParameter'] = _ARGMAXPARAMETER\nDESCRIPTOR.message_types_by_name['ConcatParameter'] = _CONCATPARAMETER\nDESCRIPTOR.message_types_by_name['BatchNormParameter'] = _BATCHNORMPARAMETER\nDESCRIPTOR.message_types_by_name['BiasParameter'] = _BIASPARAMETER\nDESCRIPTOR.message_types_by_name['ContrastiveLossParameter'] = _CONTRASTIVELOSSPARAMETER\nDESCRIPTOR.message_types_by_name['ConvolutionParameter'] = _CONVOLUTIONPARAMETER\nDESCRIPTOR.message_types_by_name['CropParameter'] = _CROPPARAMETER\nDESCRIPTOR.message_types_by_name['DataParameter'] = _DATAPARAMETER\nDESCRIPTOR.message_types_by_name['DropoutParameter'] = _DROPOUTPARAMETER\nDESCRIPTOR.message_types_by_name['DummyDataParameter'] = _DUMMYDATAPARAMETER\nDESCRIPTOR.message_types_by_name['EltwiseParameter'] = _ELTWISEPARAMETER\nDESCRIPTOR.message_types_by_name['ELUParameter'] = _ELUPARAMETER\nDESCRIPTOR.message_types_by_name['EmbedParameter'] = _EMBEDPARAMETER\nDESCRIPTOR.message_types_by_name['ExpParameter'] = _EXPPARAMETER\nDESCRIPTOR.message_types_by_name['FlattenParameter'] = _FLATTENPARAMETER\nDESCRIPTOR.message_types_by_name['HDF5DataParameter'] = _HDF5DATAPARAMETER\nDESCRIPTOR.message_types_by_name['HDF5OutputParameter'] = _HDF5OUTPUTPARAMETER\nDESCRIPTOR.message_types_by_name['HingeLossParameter'] = _HINGELOSSPARAMETER\nDESCRIPTOR.message_types_by_name['ImageDataParameter'] = _IMAGEDATAPARAMETER\nDESCRIPTOR.message_types_by_name['InfogainLossParameter'] = _INFOGAINLOSSPARAMETER\nDESCRIPTOR.message_types_by_name['InnerProductParameter'] = _INNERPRODUCTPARAMETER\nDESCRIPTOR.message_types_by_name['InputParameter'] = _INPUTPARAMETER\nDESCRIPTOR.message_types_by_name['LogParameter'] = _LOGPARAMETER\nDESCRIPTOR.message_types_by_name['LRNParameter'] = _LRNPARAMETER\nDESCRIPTOR.message_types_by_name['MemoryDataParameter'] = _MEMORYDATAPARAMETER\nDESCRIPTOR.message_types_by_name['MVNParameter'] = _MVNPARAMETER\nDESCRIPTOR.message_types_by_name['ParameterParameter'] = _PARAMETERPARAMETER\nDESCRIPTOR.message_types_by_name['PoolingParameter'] = _POOLINGPARAMETER\nDESCRIPTOR.message_types_by_name['PowerParameter'] = _POWERPARAMETER\nDESCRIPTOR.message_types_by_name['PythonParameter'] = _PYTHONPARAMETER\nDESCRIPTOR.message_types_by_name['RecurrentParameter'] = _RECURRENTPARAMETER\nDESCRIPTOR.message_types_by_name['ReductionParameter'] = _REDUCTIONPARAMETER\nDESCRIPTOR.message_types_by_name['ReLUParameter'] = _RELUPARAMETER\nDESCRIPTOR.message_types_by_name['ReshapeParameter'] = _RESHAPEPARAMETER\nDESCRIPTOR.message_types_by_name['ScaleParameter'] = _SCALEPARAMETER\nDESCRIPTOR.message_types_by_name['SigmoidParameter'] = _SIGMOIDPARAMETER\nDESCRIPTOR.message_types_by_name['SliceParameter'] = _SLICEPARAMETER\nDESCRIPTOR.message_types_by_name['SoftmaxParameter'] = _SOFTMAXPARAMETER\nDESCRIPTOR.message_types_by_name['TanHParameter'] = _TANHPARAMETER\nDESCRIPTOR.message_types_by_name['TileParameter'] = _TILEPARAMETER\nDESCRIPTOR.message_types_by_name['ThresholdParameter'] = _THRESHOLDPARAMETER\nDESCRIPTOR.message_types_by_name['WindowDataParameter'] = _WINDOWDATAPARAMETER\nDESCRIPTOR.message_types_by_name['SPPParameter'] = _SPPPARAMETER\nDESCRIPTOR.message_types_by_name['V1LayerParameter'] = _V1LAYERPARAMETER\nDESCRIPTOR.message_types_by_name['V0LayerParameter'] = _V0LAYERPARAMETER\nDESCRIPTOR.message_types_by_name['PReLUParameter'] = _PRELUPARAMETER\nDESCRIPTOR.enum_types_by_name['Phase'] = _PHASE\n\nBlobShape = _reflection.GeneratedProtocolMessageType('BlobShape', (_message.Message,), dict(\n DESCRIPTOR = _BLOBSHAPE,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.BlobShape)\n ))\n_sym_db.RegisterMessage(BlobShape)\n\nBlobProto = _reflection.GeneratedProtocolMessageType('BlobProto', (_message.Message,), dict(\n DESCRIPTOR = _BLOBPROTO,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.BlobProto)\n ))\n_sym_db.RegisterMessage(BlobProto)\n\nBlobProtoVector = _reflection.GeneratedProtocolMessageType('BlobProtoVector', (_message.Message,), dict(\n DESCRIPTOR = _BLOBPROTOVECTOR,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.BlobProtoVector)\n ))\n_sym_db.RegisterMessage(BlobProtoVector)\n\nDatum = _reflection.GeneratedProtocolMessageType('Datum', (_message.Message,), dict(\n DESCRIPTOR = _DATUM,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.Datum)\n ))\n_sym_db.RegisterMessage(Datum)\n\nFillerParameter = _reflection.GeneratedProtocolMessageType('FillerParameter', (_message.Message,), dict(\n DESCRIPTOR = _FILLERPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.FillerParameter)\n ))\n_sym_db.RegisterMessage(FillerParameter)\n\nNetParameter = _reflection.GeneratedProtocolMessageType('NetParameter', (_message.Message,), dict(\n DESCRIPTOR = _NETPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.NetParameter)\n ))\n_sym_db.RegisterMessage(NetParameter)\n\nSolverParameter = _reflection.GeneratedProtocolMessageType('SolverParameter', (_message.Message,), dict(\n DESCRIPTOR = _SOLVERPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.SolverParameter)\n ))\n_sym_db.RegisterMessage(SolverParameter)\n\nSolverState = _reflection.GeneratedProtocolMessageType('SolverState', (_message.Message,), dict(\n DESCRIPTOR = _SOLVERSTATE,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.SolverState)\n ))\n_sym_db.RegisterMessage(SolverState)\n\nNetState = _reflection.GeneratedProtocolMessageType('NetState', (_message.Message,), dict(\n DESCRIPTOR = _NETSTATE,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.NetState)\n ))\n_sym_db.RegisterMessage(NetState)\n\nNetStateRule = _reflection.GeneratedProtocolMessageType('NetStateRule', (_message.Message,), dict(\n DESCRIPTOR = _NETSTATERULE,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.NetStateRule)\n ))\n_sym_db.RegisterMessage(NetStateRule)\n\nParamSpec = _reflection.GeneratedProtocolMessageType('ParamSpec', (_message.Message,), dict(\n DESCRIPTOR = _PARAMSPEC,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ParamSpec)\n ))\n_sym_db.RegisterMessage(ParamSpec)\n\nLayerParameter = _reflection.GeneratedProtocolMessageType('LayerParameter', (_message.Message,), dict(\n DESCRIPTOR = _LAYERPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.LayerParameter)\n ))\n_sym_db.RegisterMessage(LayerParameter)\n\nTransformationParameter = _reflection.GeneratedProtocolMessageType('TransformationParameter', (_message.Message,), dict(\n DESCRIPTOR = _TRANSFORMATIONPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.TransformationParameter)\n ))\n_sym_db.RegisterMessage(TransformationParameter)\n\nLossParameter = _reflection.GeneratedProtocolMessageType('LossParameter', (_message.Message,), dict(\n DESCRIPTOR = _LOSSPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.LossParameter)\n ))\n_sym_db.RegisterMessage(LossParameter)\n\nAccuracyParameter = _reflection.GeneratedProtocolMessageType('AccuracyParameter', (_message.Message,), dict(\n DESCRIPTOR = _ACCURACYPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.AccuracyParameter)\n ))\n_sym_db.RegisterMessage(AccuracyParameter)\n\nArgMaxParameter = _reflection.GeneratedProtocolMessageType('ArgMaxParameter', (_message.Message,), dict(\n DESCRIPTOR = _ARGMAXPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ArgMaxParameter)\n ))\n_sym_db.RegisterMessage(ArgMaxParameter)\n\nConcatParameter = _reflection.GeneratedProtocolMessageType('ConcatParameter', (_message.Message,), dict(\n DESCRIPTOR = _CONCATPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ConcatParameter)\n ))\n_sym_db.RegisterMessage(ConcatParameter)\n\nBatchNormParameter = _reflection.GeneratedProtocolMessageType('BatchNormParameter', (_message.Message,), dict(\n DESCRIPTOR = _BATCHNORMPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.BatchNormParameter)\n ))\n_sym_db.RegisterMessage(BatchNormParameter)\n\nBiasParameter = _reflection.GeneratedProtocolMessageType('BiasParameter', (_message.Message,), dict(\n DESCRIPTOR = _BIASPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.BiasParameter)\n ))\n_sym_db.RegisterMessage(BiasParameter)\n\nContrastiveLossParameter = _reflection.GeneratedProtocolMessageType('ContrastiveLossParameter', (_message.Message,), dict(\n DESCRIPTOR = _CONTRASTIVELOSSPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ContrastiveLossParameter)\n ))\n_sym_db.RegisterMessage(ContrastiveLossParameter)\n\nConvolutionParameter = _reflection.GeneratedProtocolMessageType('ConvolutionParameter', (_message.Message,), dict(\n DESCRIPTOR = _CONVOLUTIONPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ConvolutionParameter)\n ))\n_sym_db.RegisterMessage(ConvolutionParameter)\n\nCropParameter = _reflection.GeneratedProtocolMessageType('CropParameter', (_message.Message,), dict(\n DESCRIPTOR = _CROPPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.CropParameter)\n ))\n_sym_db.RegisterMessage(CropParameter)\n\nDataParameter = _reflection.GeneratedProtocolMessageType('DataParameter', (_message.Message,), dict(\n DESCRIPTOR = _DATAPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.DataParameter)\n ))\n_sym_db.RegisterMessage(DataParameter)\n\nDropoutParameter = _reflection.GeneratedProtocolMessageType('DropoutParameter', (_message.Message,), dict(\n DESCRIPTOR = _DROPOUTPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.DropoutParameter)\n ))\n_sym_db.RegisterMessage(DropoutParameter)\n\nDummyDataParameter = _reflection.GeneratedProtocolMessageType('DummyDataParameter', (_message.Message,), dict(\n DESCRIPTOR = _DUMMYDATAPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.DummyDataParameter)\n ))\n_sym_db.RegisterMessage(DummyDataParameter)\n\nEltwiseParameter = _reflection.GeneratedProtocolMessageType('EltwiseParameter', (_message.Message,), dict(\n DESCRIPTOR = _ELTWISEPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.EltwiseParameter)\n ))\n_sym_db.RegisterMessage(EltwiseParameter)\n\nELUParameter = _reflection.GeneratedProtocolMessageType('ELUParameter', (_message.Message,), dict(\n DESCRIPTOR = _ELUPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ELUParameter)\n ))\n_sym_db.RegisterMessage(ELUParameter)\n\nEmbedParameter = _reflection.GeneratedProtocolMessageType('EmbedParameter', (_message.Message,), dict(\n DESCRIPTOR = _EMBEDPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.EmbedParameter)\n ))\n_sym_db.RegisterMessage(EmbedParameter)\n\nExpParameter = _reflection.GeneratedProtocolMessageType('ExpParameter', (_message.Message,), dict(\n DESCRIPTOR = _EXPPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ExpParameter)\n ))\n_sym_db.RegisterMessage(ExpParameter)\n\nFlattenParameter = _reflection.GeneratedProtocolMessageType('FlattenParameter', (_message.Message,), dict(\n DESCRIPTOR = _FLATTENPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.FlattenParameter)\n ))\n_sym_db.RegisterMessage(FlattenParameter)\n\nHDF5DataParameter = _reflection.GeneratedProtocolMessageType('HDF5DataParameter', (_message.Message,), dict(\n DESCRIPTOR = _HDF5DATAPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.HDF5DataParameter)\n ))\n_sym_db.RegisterMessage(HDF5DataParameter)\n\nHDF5OutputParameter = _reflection.GeneratedProtocolMessageType('HDF5OutputParameter', (_message.Message,), dict(\n DESCRIPTOR = _HDF5OUTPUTPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.HDF5OutputParameter)\n ))\n_sym_db.RegisterMessage(HDF5OutputParameter)\n\nHingeLossParameter = _reflection.GeneratedProtocolMessageType('HingeLossParameter', (_message.Message,), dict(\n DESCRIPTOR = _HINGELOSSPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.HingeLossParameter)\n ))\n_sym_db.RegisterMessage(HingeLossParameter)\n\nImageDataParameter = _reflection.GeneratedProtocolMessageType('ImageDataParameter', (_message.Message,), dict(\n DESCRIPTOR = _IMAGEDATAPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ImageDataParameter)\n ))\n_sym_db.RegisterMessage(ImageDataParameter)\n\nInfogainLossParameter = _reflection.GeneratedProtocolMessageType('InfogainLossParameter', (_message.Message,), dict(\n DESCRIPTOR = _INFOGAINLOSSPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.InfogainLossParameter)\n ))\n_sym_db.RegisterMessage(InfogainLossParameter)\n\nInnerProductParameter = _reflection.GeneratedProtocolMessageType('InnerProductParameter', (_message.Message,), dict(\n DESCRIPTOR = _INNERPRODUCTPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.InnerProductParameter)\n ))\n_sym_db.RegisterMessage(InnerProductParameter)\n\nInputParameter = _reflection.GeneratedProtocolMessageType('InputParameter', (_message.Message,), dict(\n DESCRIPTOR = _INPUTPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.InputParameter)\n ))\n_sym_db.RegisterMessage(InputParameter)\n\nLogParameter = _reflection.GeneratedProtocolMessageType('LogParameter', (_message.Message,), dict(\n DESCRIPTOR = _LOGPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.LogParameter)\n ))\n_sym_db.RegisterMessage(LogParameter)\n\nLRNParameter = _reflection.GeneratedProtocolMessageType('LRNParameter', (_message.Message,), dict(\n DESCRIPTOR = _LRNPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.LRNParameter)\n ))\n_sym_db.RegisterMessage(LRNParameter)\n\nMemoryDataParameter = _reflection.GeneratedProtocolMessageType('MemoryDataParameter', (_message.Message,), dict(\n DESCRIPTOR = _MEMORYDATAPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.MemoryDataParameter)\n ))\n_sym_db.RegisterMessage(MemoryDataParameter)\n\nMVNParameter = _reflection.GeneratedProtocolMessageType('MVNParameter', (_message.Message,), dict(\n DESCRIPTOR = _MVNPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.MVNParameter)\n ))\n_sym_db.RegisterMessage(MVNParameter)\n\nParameterParameter = _reflection.GeneratedProtocolMessageType('ParameterParameter', (_message.Message,), dict(\n DESCRIPTOR = _PARAMETERPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ParameterParameter)\n ))\n_sym_db.RegisterMessage(ParameterParameter)\n\nPoolingParameter = _reflection.GeneratedProtocolMessageType('PoolingParameter', (_message.Message,), dict(\n DESCRIPTOR = _POOLINGPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.PoolingParameter)\n ))\n_sym_db.RegisterMessage(PoolingParameter)\n\nPowerParameter = _reflection.GeneratedProtocolMessageType('PowerParameter', (_message.Message,), dict(\n DESCRIPTOR = _POWERPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.PowerParameter)\n ))\n_sym_db.RegisterMessage(PowerParameter)\n\nPythonParameter = _reflection.GeneratedProtocolMessageType('PythonParameter', (_message.Message,), dict(\n DESCRIPTOR = _PYTHONPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.PythonParameter)\n ))\n_sym_db.RegisterMessage(PythonParameter)\n\nRecurrentParameter = _reflection.GeneratedProtocolMessageType('RecurrentParameter', (_message.Message,), dict(\n DESCRIPTOR = _RECURRENTPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.RecurrentParameter)\n ))\n_sym_db.RegisterMessage(RecurrentParameter)\n\nReductionParameter = _reflection.GeneratedProtocolMessageType('ReductionParameter', (_message.Message,), dict(\n DESCRIPTOR = _REDUCTIONPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ReductionParameter)\n ))\n_sym_db.RegisterMessage(ReductionParameter)\n\nReLUParameter = _reflection.GeneratedProtocolMessageType('ReLUParameter', (_message.Message,), dict(\n DESCRIPTOR = _RELUPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ReLUParameter)\n ))\n_sym_db.RegisterMessage(ReLUParameter)\n\nReshapeParameter = _reflection.GeneratedProtocolMessageType('ReshapeParameter', (_message.Message,), dict(\n DESCRIPTOR = _RESHAPEPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ReshapeParameter)\n ))\n_sym_db.RegisterMessage(ReshapeParameter)\n\nScaleParameter = _reflection.GeneratedProtocolMessageType('ScaleParameter', (_message.Message,), dict(\n DESCRIPTOR = _SCALEPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ScaleParameter)\n ))\n_sym_db.RegisterMessage(ScaleParameter)\n\nSigmoidParameter = _reflection.GeneratedProtocolMessageType('SigmoidParameter', (_message.Message,), dict(\n DESCRIPTOR = _SIGMOIDPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.SigmoidParameter)\n ))\n_sym_db.RegisterMessage(SigmoidParameter)\n\nSliceParameter = _reflection.GeneratedProtocolMessageType('SliceParameter', (_message.Message,), dict(\n DESCRIPTOR = _SLICEPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.SliceParameter)\n ))\n_sym_db.RegisterMessage(SliceParameter)\n\nSoftmaxParameter = _reflection.GeneratedProtocolMessageType('SoftmaxParameter', (_message.Message,), dict(\n DESCRIPTOR = _SOFTMAXPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.SoftmaxParameter)\n ))\n_sym_db.RegisterMessage(SoftmaxParameter)\n\nTanHParameter = _reflection.GeneratedProtocolMessageType('TanHParameter', (_message.Message,), dict(\n DESCRIPTOR = _TANHPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.TanHParameter)\n ))\n_sym_db.RegisterMessage(TanHParameter)\n\nTileParameter = _reflection.GeneratedProtocolMessageType('TileParameter', (_message.Message,), dict(\n DESCRIPTOR = _TILEPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.TileParameter)\n ))\n_sym_db.RegisterMessage(TileParameter)\n\nThresholdParameter = _reflection.GeneratedProtocolMessageType('ThresholdParameter', (_message.Message,), dict(\n DESCRIPTOR = _THRESHOLDPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.ThresholdParameter)\n ))\n_sym_db.RegisterMessage(ThresholdParameter)\n\nWindowDataParameter = _reflection.GeneratedProtocolMessageType('WindowDataParameter', (_message.Message,), dict(\n DESCRIPTOR = _WINDOWDATAPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.WindowDataParameter)\n ))\n_sym_db.RegisterMessage(WindowDataParameter)\n\nSPPParameter = _reflection.GeneratedProtocolMessageType('SPPParameter', (_message.Message,), dict(\n DESCRIPTOR = _SPPPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.SPPParameter)\n ))\n_sym_db.RegisterMessage(SPPParameter)\n\nV1LayerParameter = _reflection.GeneratedProtocolMessageType('V1LayerParameter', (_message.Message,), dict(\n DESCRIPTOR = _V1LAYERPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.V1LayerParameter)\n ))\n_sym_db.RegisterMessage(V1LayerParameter)\n\nV0LayerParameter = _reflection.GeneratedProtocolMessageType('V0LayerParameter', (_message.Message,), dict(\n DESCRIPTOR = _V0LAYERPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.V0LayerParameter)\n ))\n_sym_db.RegisterMessage(V0LayerParameter)\n\nPReLUParameter = _reflection.GeneratedProtocolMessageType('PReLUParameter', (_message.Message,), dict(\n DESCRIPTOR = _PRELUPARAMETER,\n __module__ = 'caffe_pb2'\n # @@protoc_insertion_point(class_scope:caffe.PReLUParameter)\n ))\n_sym_db.RegisterMessage(PReLUParameter)\n\n\n_BLOBSHAPE.fields_by_name['dim'].has_options = True\n_BLOBSHAPE.fields_by_name['dim']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\\020\\001'))\n_BLOBPROTO.fields_by_name['data'].has_options = True\n_BLOBPROTO.fields_by_name['data']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\\020\\001'))\n_BLOBPROTO.fields_by_name['diff'].has_options = True\n_BLOBPROTO.fields_by_name['diff']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\\020\\001'))\n_BLOBPROTO.fields_by_name['double_data'].has_options = True\n_BLOBPROTO.fields_by_name['double_data']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\\020\\001'))\n_BLOBPROTO.fields_by_name['double_diff'].has_options = True\n_BLOBPROTO.fields_by_name['double_diff']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\\020\\001'))\n# @@protoc_insertion_point(module_scope)\n" }, { "path": "convert/convert_vggnet.py", "content": "# Python script to convert the VGGNet weights to Metal CNN format.\n#\n# The VGGNet Caffe model stores the weights for each layer in this shape:\n# (outputChannels, inputChannels, kernelHeight, kernelWidth)\n#\n# The Metal API expects weights in the following shape:\n# (outputChannels, kernelHeight, kernelWidth, inputChannels)\n#\n# This script reads the VGGNet .caffemodel file, transposes the weight arrays,\n# and writes out a big file called parameters.data that just contains the raw\n# weights and bias values as 32-bit floats.\n#\n# Requirements:\n# - numpy\n# - google.protobuf\n#\n# Usage:\n# - first download the prototxt file from:\n# https://gist.githubusercontent.com/ksimonyan/211839e770f7b538e2d8/raw/0067c9b32f60362c74f4c445a080beed06b07eb3/VGG_ILSVRC_16_layers_deploy.prototxt\n# - also download the caffemodel file from:\n# http://www.robots.ox.ac.uk/~vgg/software/very_deep/caffe/VGG_ILSVRC_16_layers.caffemodel\n# - then run the script:\n# python3 convert_vggnet.py VGG_ILSVRC_16_layers_deploy.prototxt VGG_ILSVRC_16_layers.caffemodel ./output-folder\n#\n# The code is based on https://github.com/woodrush/neural-art-tf, which in turn\n# is based on https://github.com/ethereon/caffe-tensorflow. Licensed under the\n# MIT license: https://github.com/ethereon/caffe-tensorflow/blob/master/LICENSE.md\n#\n# Changes I made:\n# - converted the source code to Python 3.5\n# - used \"protoc caffe.proto --python_out=.\" to convert the latest caffe.proto\n# file to Python 3 format\n# - don't save as pickled numpy file but as raw bytes\n# - got rid of the caffe stuff because I don't have it installed anyway\n# - generates Swift code that should be placed in VGGNetData.swift\n\nimport os\nimport sys\nimport numpy as np\n\nclass CaffeDataReader(object):\n def __init__(self, def_path, data_path):\n self.def_path = def_path\n self.data_path = data_path\n self.load_using_pb()\n\n def load_using_pb(self):\n import caffe_pb2\n data = caffe_pb2.NetParameter()\n print(\"Loading the caffemodel. This takes a couple of minutes.\")\n data.MergeFromString(open(self.data_path, 'rb').read())\n print(\"Done reading\")\n pair = lambda layer: (layer.name, self.transform_data(layer))\n layers = data.layers or data.layer\n self.parameters = [pair(layer) for layer in layers if layer.blobs]\n print(\"Done transforming\")\n\n def transform_data(self, layer):\n print(\"Transforming layer %s\" % layer.name)\n transformed = []\n for idx, blob in enumerate(layer.blobs):\n c_o = blob.num\n c_i = blob.channels\n h = blob.height\n w = blob.width\n print(\" %d: %d x %d x %d x %d\" % (idx, c_o, c_i, h, w))\n\n arr = np.array(blob.data, dtype=np.float32)\n #print(arr.shape)\n\n # The fc6 layer is the first fully-connected layer. It has shape\n # (1, 1, 4096, 25088). We reshape it so that it gets transposed\n # correctly in the convert() function.\n if layer.name == \"fc6\" and idx == 0:\n data = arr.reshape(4096, 512, 7, 7)\n elif layer.name == \"fc7\" and idx == 0:\n data = arr.reshape(4096, 4096, 1, 1)\n elif layer.name == \"fc8\" and idx == 0:\n data = arr.reshape(1000, 4096, 1, 1)\n else:\n data = arr.reshape(c_o, c_i, h, w)\n\n transformed.append(data)\n #print(data.shape)\n\n print()\n return tuple(transformed)\n\n def dump(self, dst_path):\n params = []\n def convert(data):\n if data.ndim == 4:\n # (c_o, c_i, h, w) -> (c_o, h, w, c_i)\n data = data.transpose((0, 2, 3, 1))\n else:\n print(\"Unsupported layer:\", data.shape)\n return data\n\n offset = 0\n s = \"\"\n all = np.array([], dtype=np.float32)\n for key, data_pair in self.parameters:\n print(key)\n ext = [\"w\", \"b\"]\n for i, data in enumerate(map(convert, data_pair)):\n s += (\" var %s_%s: UnsafeMutablePointer { return ptr + %d }\\n\" % (key, ext[i], offset))\n print(\" \", data.shape)\n offset += data.size\n all = np.append(all, data.ravel())\n\n # Save the individual files.\n #g = open(dst_path + \"/\" + key + \"-\" + ext[i] + \".data\", \"wb\")\n #data.tofile(g)\n #g.close()\n\n assert(all.shape[0] == 138357544)\n\n f = open(dst_path + \"/parameters.data\", \"wb\")\n all.tofile(f)\n f.close()\n\n print(\"\\nCopy this code into VGGNetData.swift:\")\n print(s)\n print(\"Done!\")\n\ndef main():\n args = sys.argv[1:]\n if len(args) != 3:\n print(\"usage: %s path.prototxt path.caffemodel output-folder\" % os.path.basename(__file__))\n exit(-1)\n def_path, data_path, dst_path = args\n CaffeDataReader(def_path, data_path).dump(dst_path)\n\nif __name__ == '__main__':\n main()\n" } ]