SYMBOL INDEX (250 symbols across 31 files)

FILE: attack_iter.py
  function gkern (line 55) | def gkern(kernlen=21, nsig=3):
  function load_images (line 69) | def load_images(input_dir, batch_shape):
  function save_images (line 102) | def save_images(images, filenames, output_dir):
  function graph (line 119) | def graph(x, y, i, x_max, x_min, grad):
  function stop (line 164) | def stop(x, y, i, x_max, x_min, grad):
  function input_diversity (line 169) | def input_diversity(input_tensor):
  function main (line 184) | def main(_):

FILE: attack_vgg16_mim.py
  function gkern (line 56) | def gkern(kernlen=21, nsig=3):
  function load_images (line 72) | def load_images(input_dir, batch_shape):
  function save_images (line 108) | def save_images(images, filenames, output_dir):
  function graph (line 130) | def graph(x, y, i, x_max, x_min, grad):
  function stop (line 160) | def stop(x, y, i, x_max, x_min, grad):
  function main (line 165) | def main(_):

FILE: dataset/download_images.py
  function parse_args (line 39) | def parse_args():
  function download_image (line 51) | def download_image(image_id, url, x1, y1, x2, y2, output_dir):
  function main (line 75) | def main():

FILE: nets/alexnet.py
  function alexnet_v2_arg_scope (line 45) | def alexnet_v2_arg_scope(weight_decay=0.0005):
  function alexnet_v2 (line 55) | def alexnet_v2(inputs,

FILE: nets/alexnet_test.py
  class AlexnetV2Test (line 27) | class AlexnetV2Test(tf.test.TestCase):
    method testBuild (line 29) | def testBuild(self):
    method testFullyConvolutional (line 40) | def testFullyConvolutional(self):
    method testEndPoints (line 51) | def testEndPoints(self):
    method testModelVariables (line 72) | def testModelVariables(self):
    method testEvaluation (line 99) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 111) | def testTrainEvalWithReuse(self):
    method testForward (line 134) | def testForward(self):

FILE: nets/cifarnet.py
  function cifarnet (line 28) | def cifarnet(images, num_classes=10, is_training=False,
  function cifarnet_arg_scope (line 93) | def cifarnet_arg_scope(weight_decay=0.004):

FILE: nets/inception_resnet_v2.py
  function block35 (line 33) | def block35(net, scale=1.0, activation_fn=tf.nn.relu, scope=None, reuse=...
  function block17 (line 54) | def block17(net, scale=1.0, activation_fn=tf.nn.relu, scope=None, reuse=...
  function block8 (line 74) | def block8(net, scale=1.0, activation_fn=tf.nn.relu, scope=None, reuse=N...
  function inception_resnet_v2_base (line 94) | def inception_resnet_v2_base(inputs,
  function inception_resnet_v2 (line 270) | def inception_resnet_v2(inputs, num_classes=1001, is_training=True,
  function inception_resnet_v2_arg_scope (line 331) | def inception_resnet_v2_arg_scope(weight_decay=0.00004,

FILE: nets/inception_resnet_v2_test.py
  class InceptionTest (line 25) | class InceptionTest(tf.test.TestCase):
    method testBuildLogits (line 27) | def testBuildLogits(self):
    method testBuildWithoutAuxLogits (line 44) | def testBuildWithoutAuxLogits(self):
    method testBuildEndPoints (line 57) | def testBuildEndPoints(self):
    method testBuildBaseNetwork (line 76) | def testBuildBaseNetwork(self):
    method testBuildOnlyUptoFinalEndpoint (line 91) | def testBuildOnlyUptoFinalEndpoint(self):
    method testBuildAndCheckAllEndPointsUptoPreAuxLogits (line 108) | def testBuildAndCheckAllEndPointsUptoPreAuxLogits(self):
    method testBuildAndCheckAllEndPointsUptoPreAuxLogitsWithAlignedFeatureMaps (line 134) | def testBuildAndCheckAllEndPointsUptoPreAuxLogitsWithAlignedFeatureMap...
    method testBuildAndCheckAllEndPointsUptoPreAuxLogitsWithOutputStrideEight (line 160) | def testBuildAndCheckAllEndPointsUptoPreAuxLogitsWithOutputStrideEight...
    method testVariablesSetDevice (line 186) | def testVariablesSetDevice(self):
    method testHalfSizeImages (line 202) | def testHalfSizeImages(self):
    method testUnknownBatchSize (line 216) | def testUnknownBatchSize(self):
    method testEvaluation (line 231) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 245) | def testTrainEvalWithReuse(self):

FILE: nets/inception_utils.py
  function inception_arg_scope (line 32) | def inception_arg_scope(weight_decay=0.00004,

FILE: nets/inception_v1.py
  function inception_v1_base (line 29) | def inception_v1_base(inputs,
  function inception_v1 (line 257) | def inception_v1(inputs,

FILE: nets/inception_v1_test.py
  class InceptionV1Test (line 29) | class InceptionV1Test(tf.test.TestCase):
    method testBuildClassificationNetwork (line 31) | def testBuildClassificationNetwork(self):
    method testBuildBaseNetwork (line 45) | def testBuildBaseNetwork(self):
    method testBuildOnlyUptoFinalEndpoint (line 61) | def testBuildOnlyUptoFinalEndpoint(self):
    method testBuildAndCheckAllEndPointsUptoMixed5c (line 78) | def testBuildAndCheckAllEndPointsUptoMixed5c(self):
    method testModelHasExpectedNumberOfParameters (line 109) | def testModelHasExpectedNumberOfParameters(self):
    method testHalfSizeImages (line 119) | def testHalfSizeImages(self):
    method testUnknownImageShape (line 129) | def testUnknownImageShape(self):
    method testUnknowBatchSize (line 147) | def testUnknowBatchSize(self):
    method testEvaluation (line 164) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 179) | def testTrainEvalWithReuse(self):
    method testLogitsNotSqueezed (line 196) | def testLogitsNotSqueezed(self):

FILE: nets/inception_v2.py
  function inception_v2_base (line 29) | def inception_v2_base(inputs,
  function inception_v2 (line 452) | def inception_v2(inputs,
  function _reduced_kernel_size_for_small_input (line 525) | def _reduced_kernel_size_for_small_input(input_tensor, kernel_size):

FILE: nets/inception_v2_test.py
  class InceptionV2Test (line 29) | class InceptionV2Test(tf.test.TestCase):
    method testBuildClassificationNetwork (line 31) | def testBuildClassificationNetwork(self):
    method testBuildBaseNetwork (line 45) | def testBuildBaseNetwork(self):
    method testBuildOnlyUptoFinalEndpoint (line 61) | def testBuildOnlyUptoFinalEndpoint(self):
    method testBuildAndCheckAllEndPointsUptoMixed5c (line 77) | def testBuildAndCheckAllEndPointsUptoMixed5c(self):
    method testModelHasExpectedNumberOfParameters (line 106) | def testModelHasExpectedNumberOfParameters(self):
    method testBuildEndPointsWithDepthMultiplierLessThanOne (line 116) | def testBuildEndPointsWithDepthMultiplierLessThanOne(self):
    method testBuildEndPointsWithDepthMultiplierGreaterThanOne (line 136) | def testBuildEndPointsWithDepthMultiplierGreaterThanOne(self):
    method testRaiseValueErrorWithInvalidDepthMultiplier (line 156) | def testRaiseValueErrorWithInvalidDepthMultiplier(self):
    method testBuildEndPointsWithUseSeparableConvolutionFalse (line 167) | def testBuildEndPointsWithUseSeparableConvolutionFalse(self):
    method testBuildEndPointsNCHWDataFormat (line 190) | def testBuildEndPointsNCHWDataFormat(self):
    method testBuildErrorsForDataFormats (line 215) | def testBuildErrorsForDataFormats(self):
    method testHalfSizeImages (line 229) | def testHalfSizeImages(self):
    method testUnknownImageShape (line 243) | def testUnknownImageShape(self):
    method testUnknowBatchSize (line 261) | def testUnknowBatchSize(self):
    method testEvaluation (line 278) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 293) | def testTrainEvalWithReuse(self):
    method testLogitsNotSqueezed (line 310) | def testLogitsNotSqueezed(self):

FILE: nets/inception_v3.py
  function inception_v3_base (line 29) | def inception_v3_base(inputs,
  function inception_v3 (line 419) | def inception_v3(inputs,
  function _reduced_kernel_size_for_small_input (line 532) | def _reduced_kernel_size_for_small_input(input_tensor, kernel_size):

FILE: nets/inception_v3_test.py
  class InceptionV3Test (line 29) | class InceptionV3Test(tf.test.TestCase):
    method testBuildClassificationNetwork (line 31) | def testBuildClassificationNetwork(self):
    method testBuildBaseNetwork (line 45) | def testBuildBaseNetwork(self):
    method testBuildOnlyUptoFinalEndpoint (line 62) | def testBuildOnlyUptoFinalEndpoint(self):
    method testBuildAndCheckAllEndPointsUptoMixed7c (line 80) | def testBuildAndCheckAllEndPointsUptoMixed7c(self):
    method testModelHasExpectedNumberOfParameters (line 112) | def testModelHasExpectedNumberOfParameters(self):
    method testBuildEndPoints (line 122) | def testBuildEndPoints(self):
    method testBuildEndPointsWithDepthMultiplierLessThanOne (line 146) | def testBuildEndPointsWithDepthMultiplierLessThanOne(self):
    method testBuildEndPointsWithDepthMultiplierGreaterThanOne (line 166) | def testBuildEndPointsWithDepthMultiplierGreaterThanOne(self):
    method testRaiseValueErrorWithInvalidDepthMultiplier (line 186) | def testRaiseValueErrorWithInvalidDepthMultiplier(self):
    method testHalfSizeImages (line 197) | def testHalfSizeImages(self):
    method testUnknownImageShape (line 211) | def testUnknownImageShape(self):
    method testUnknowBatchSize (line 228) | def testUnknowBatchSize(self):
    method testEvaluation (line 245) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 260) | def testTrainEvalWithReuse(self):
    method testLogitsNotSqueezed (line 278) | def testLogitsNotSqueezed(self):

FILE: nets/inception_v4.py
  function block_inception_a (line 34) | def block_inception_a(inputs, scope=None, reuse=None):
  function block_reduction_a (line 55) | def block_reduction_a(inputs, scope=None, reuse=None):
  function block_inception_b (line 75) | def block_inception_b(inputs, scope=None, reuse=None):
  function block_reduction_b (line 99) | def block_reduction_b(inputs, scope=None, reuse=None):
  function block_inception_c (line 121) | def block_inception_c(inputs, scope=None, reuse=None):
  function inception_v4_base (line 147) | def inception_v4_base(inputs, final_endpoint='Mixed_7d', scope=None):
  function inception_v4 (line 257) | def inception_v4(inputs, num_classes=1001, is_training=True,

FILE: nets/inception_v4_test.py
  class InceptionTest (line 25) | class InceptionTest(tf.test.TestCase):
    method testBuildLogits (line 27) | def testBuildLogits(self):
    method testBuildWithoutAuxLogits (line 46) | def testBuildWithoutAuxLogits(self):
    method testAllEndPointsShapes (line 58) | def testAllEndPointsShapes(self):
    method testBuildBaseNetwork (line 103) | def testBuildBaseNetwork(self):
    method testBuildOnlyUpToFinalEndpoint (line 121) | def testBuildOnlyUpToFinalEndpoint(self):
    method testVariablesSetDevice (line 139) | def testVariablesSetDevice(self):
    method testHalfSizeImages (line 154) | def testHalfSizeImages(self):
    method testUnknownBatchSize (line 167) | def testUnknownBatchSize(self):
    method testEvaluation (line 182) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 196) | def testTrainEvalWithReuse(self):

FILE: nets/lenet.py
  function lenet (line 26) | def lenet(images, num_classes=10, is_training=False,
  function lenet_arg_scope (line 79) | def lenet_arg_scope(weight_decay=0.0):

FILE: nets/mobilenet_v1.py
  function mobilenet_v1_base (line 142) | def mobilenet_v1_base(inputs,
  function mobilenet_v1 (line 269) | def mobilenet_v1(inputs,
  function wrapped_partial (line 343) | def wrapped_partial(func, *args, **kwargs):
  function _reduced_kernel_size_for_small_input (line 354) | def _reduced_kernel_size_for_small_input(input_tensor, kernel_size):
  function mobilenet_v1_arg_scope (line 376) | def mobilenet_v1_arg_scope(is_training=True,

FILE: nets/mobilenet_v1_test.py
  class MobilenetV1Test (line 29) | class MobilenetV1Test(tf.test.TestCase):
    method testBuildClassificationNetwork (line 31) | def testBuildClassificationNetwork(self):
    method testBuildBaseNetwork (line 45) | def testBuildBaseNetwork(self):
    method testBuildOnlyUptoFinalEndpoint (line 70) | def testBuildOnlyUptoFinalEndpoint(self):
    method testBuildCustomNetworkUsingConvDefs (line 96) | def testBuildCustomNetworkUsingConvDefs(self):
    method testBuildAndCheckAllEndPointsUptoConv2d_13 (line 118) | def testBuildAndCheckAllEndPointsUptoConv2d_13(self):
    method testOutputStride16BuildAndCheckAllEndPointsUptoConv2d_13 (line 160) | def testOutputStride16BuildAndCheckAllEndPointsUptoConv2d_13(self):
    method testOutputStride8BuildAndCheckAllEndPointsUptoConv2d_13 (line 204) | def testOutputStride8BuildAndCheckAllEndPointsUptoConv2d_13(self):
    method testBuildAndCheckAllEndPointsApproximateFaceNet (line 248) | def testBuildAndCheckAllEndPointsApproximateFaceNet(self):
    method testModelHasExpectedNumberOfParameters (line 291) | def testModelHasExpectedNumberOfParameters(self):
    method testBuildEndPointsWithDepthMultiplierLessThanOne (line 302) | def testBuildEndPointsWithDepthMultiplierLessThanOne(self):
    method testBuildEndPointsWithDepthMultiplierGreaterThanOne (line 321) | def testBuildEndPointsWithDepthMultiplierGreaterThanOne(self):
    method testRaiseValueErrorWithInvalidDepthMultiplier (line 341) | def testRaiseValueErrorWithInvalidDepthMultiplier(self):
    method testHalfSizeImages (line 354) | def testHalfSizeImages(self):
    method testUnknownImageShape (line 368) | def testUnknownImageShape(self):
    method testUnknowBatchSize (line 386) | def testUnknowBatchSize(self):
    method testEvaluation (line 403) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 418) | def testTrainEvalWithReuse(self):
    method testLogitsNotSqueezed (line 436) | def testLogitsNotSqueezed(self):

FILE: nets/nets_factory.py
  function get_network_fn (line 90) | def get_network_fn(name, num_classes, weight_decay=0.0, is_training=False):

FILE: nets/nets_factory_test.py
  class NetworksTest (line 29) | class NetworksTest(tf.test.TestCase):
    method testGetNetworkFn (line 31) | def testGetNetworkFn(self):
    method testGetNetworkFnArgScope (line 46) | def testGetNetworkFnArgScope(self):

FILE: nets/overfeat.py
  function overfeat_arg_scope (line 40) | def overfeat_arg_scope(weight_decay=0.0005):
  function overfeat (line 50) | def overfeat(inputs,

FILE: nets/overfeat_test.py
  class OverFeatTest (line 27) | class OverFeatTest(tf.test.TestCase):
    method testBuild (line 29) | def testBuild(self):
    method testFullyConvolutional (line 40) | def testFullyConvolutional(self):
    method testEndPoints (line 51) | def testEndPoints(self):
    method testModelVariables (line 72) | def testModelVariables(self):
    method testEvaluation (line 99) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 111) | def testTrainEvalWithReuse(self):
    method testForward (line 134) | def testForward(self):

FILE: nets/resnet_utils.py
  class Block (line 46) | class Block(collections.namedtuple('Block', ['scope', 'unit_fn', 'args'])):
  function subsample (line 59) | def subsample(inputs, factor, scope=None):
  function conv2d_same (line 77) | def conv2d_same(inputs, num_outputs, kernel_size, stride, rate=1, scope=...
  function stack_blocks_dense (line 126) | def stack_blocks_dense(net, blocks, output_stride=None,
  function resnet_arg_scope (line 199) | def resnet_arg_scope(weight_decay=0.0001,

FILE: nets/resnet_v1.py
  function bottleneck (line 69) | def bottleneck(inputs,
  function resnet_v1 (line 132) | def resnet_v1(inputs,
  function resnet_v1_block (line 234) | def resnet_v1_block(scope, base_depth, num_units, stride):
  function resnet_v1_50 (line 258) | def resnet_v1_50(inputs,
  function resnet_v1_101 (line 280) | def resnet_v1_101(inputs,
  function resnet_v1_152 (line 302) | def resnet_v1_152(inputs,
  function resnet_v1_200 (line 324) | def resnet_v1_200(inputs,

FILE: nets/resnet_v1_test.py
  function create_test_input (line 30) | def create_test_input(batch_size, height, width, channels):
  class ResnetUtilsTest (line 56) | class ResnetUtilsTest(tf.test.TestCase):
    method testSubsampleThreeByThree (line 58) | def testSubsampleThreeByThree(self):
    method testSubsampleFourByFour (line 65) | def testSubsampleFourByFour(self):
    method testConv2DSameEven (line 72) | def testConv2DSameEven(self):
    method testConv2DSameOdd (line 113) | def testConv2DSameOdd(self):
    method _resnet_plain (line 154) | def _resnet_plain(self, inputs, blocks, output_stride=None, scope=None):
    method testEndPointsV1 (line 162) | def testEndPointsV1(self):
    method _stack_blocks_nondense (line 190) | def _stack_blocks_nondense(self, net, blocks):
    method testAtrousValuesBottleneck (line 199) | def testAtrousValuesBottleneck(self):
  class ResnetCompleteNetworkTest (line 244) | class ResnetCompleteNetworkTest(tf.test.TestCase):
    method _resnet_small (line 247) | def _resnet_small(self,
    method testClassificationEndPoints (line 274) | def testClassificationEndPoints(self):
    method testClassificationShapes (line 289) | def testClassificationShapes(self):
    method testFullyConvolutionalEndpointShapes (line 306) | def testFullyConvolutionalEndpointShapes(self):
    method testRootlessFullyConvolutionalEndpointShapes (line 324) | def testRootlessFullyConvolutionalEndpointShapes(self):
    method testAtrousFullyConvolutionalEndpointShapes (line 343) | def testAtrousFullyConvolutionalEndpointShapes(self):
    method testAtrousFullyConvolutionalValues (line 364) | def testAtrousFullyConvolutionalValues(self):
    method testUnknownBatchSize (line 391) | def testUnknownBatchSize(self):
    method testFullyConvolutionalUnknownHeightWidth (line 411) | def testFullyConvolutionalUnknownHeightWidth(self):
    method testAtrousFullyConvolutionalUnknownHeightWidth (line 426) | def testAtrousFullyConvolutionalUnknownHeightWidth(self):

FILE: nets/resnet_v2.py
  function bottleneck (line 62) | def bottleneck(inputs, depth, depth_bottleneck, stride, rate=1,
  function resnet_v2 (line 111) | def resnet_v2(inputs,
  function resnet_v2_block (line 224) | def resnet_v2_block(scope, base_depth, num_units, stride):
  function resnet_v2_50 (line 249) | def resnet_v2_50(inputs,
  function resnet_v2_101 (line 271) | def resnet_v2_101(inputs,
  function resnet_v2_152 (line 293) | def resnet_v2_152(inputs,
  function resnet_v2_200 (line 315) | def resnet_v2_200(inputs,

FILE: nets/resnet_v2_test.py
  function create_test_input (line 30) | def create_test_input(batch_size, height, width, channels):
  class ResnetUtilsTest (line 56) | class ResnetUtilsTest(tf.test.TestCase):
    method testSubsampleThreeByThree (line 58) | def testSubsampleThreeByThree(self):
    method testSubsampleFourByFour (line 65) | def testSubsampleFourByFour(self):
    method testConv2DSameEven (line 72) | def testConv2DSameEven(self):
    method testConv2DSameOdd (line 113) | def testConv2DSameOdd(self):
    method _resnet_plain (line 154) | def _resnet_plain(self, inputs, blocks, output_stride=None, scope=None):
    method testEndPointsV2 (line 162) | def testEndPointsV2(self):
    method _stack_blocks_nondense (line 190) | def _stack_blocks_nondense(self, net, blocks):
    method testAtrousValuesBottleneck (line 199) | def testAtrousValuesBottleneck(self):
  class ResnetCompleteNetworkTest (line 244) | class ResnetCompleteNetworkTest(tf.test.TestCase):
    method _resnet_small (line 247) | def _resnet_small(self,
    method testClassificationEndPoints (line 274) | def testClassificationEndPoints(self):
    method testClassificationShapes (line 289) | def testClassificationShapes(self):
    method testFullyConvolutionalEndpointShapes (line 306) | def testFullyConvolutionalEndpointShapes(self):
    method testRootlessFullyConvolutionalEndpointShapes (line 324) | def testRootlessFullyConvolutionalEndpointShapes(self):
    method testAtrousFullyConvolutionalEndpointShapes (line 343) | def testAtrousFullyConvolutionalEndpointShapes(self):
    method testAtrousFullyConvolutionalValues (line 364) | def testAtrousFullyConvolutionalValues(self):
    method testUnknownBatchSize (line 393) | def testUnknownBatchSize(self):
    method testFullyConvolutionalUnknownHeightWidth (line 413) | def testFullyConvolutionalUnknownHeightWidth(self):
    method testAtrousFullyConvolutionalUnknownHeightWidth (line 429) | def testAtrousFullyConvolutionalUnknownHeightWidth(self):

FILE: nets/vgg.py
  function vgg_arg_scope (line 49) | def vgg_arg_scope(weight_decay=0.0005):
  function vgg_a (line 66) | def vgg_a(inputs,
  function vgg_16 (line 132) | def vgg_16(inputs,
  function vgg_19 (line 198) | def vgg_19(inputs,

FILE: nets/vgg_test.py
  class VGGATest (line 27) | class VGGATest(tf.test.TestCase):
    method testBuild (line 29) | def testBuild(self):
    method testFullyConvolutional (line 40) | def testFullyConvolutional(self):
    method testEndPoints (line 51) | def testEndPoints(self):
    method testModelVariables (line 77) | def testModelVariables(self):
    method testEvaluation (line 110) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 122) | def testTrainEvalWithReuse(self):
    method testForward (line 145) | def testForward(self):
  class VGG16Test (line 156) | class VGG16Test(tf.test.TestCase):
    method testBuild (line 158) | def testBuild(self):
    method testFullyConvolutional (line 169) | def testFullyConvolutional(self):
    method testEndPoints (line 180) | def testEndPoints(self):
    method testModelVariables (line 211) | def testModelVariables(self):
    method testEvaluation (line 254) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 266) | def testTrainEvalWithReuse(self):
    method testForward (line 289) | def testForward(self):
  class VGG19Test (line 300) | class VGG19Test(tf.test.TestCase):
    method testBuild (line 302) | def testBuild(self):
    method testFullyConvolutional (line 313) | def testFullyConvolutional(self):
    method testEndPoints (line 324) | def testEndPoints(self):
    method testModelVariables (line 359) | def testModelVariables(self):
    method testEvaluation (line 409) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 421) | def testTrainEvalWithReuse(self):
    method testForward (line 444) | def testForward(self):