SYMBOL INDEX (420 symbols across 68 files)

FILE: models/slim/datasets/cifar10.py
  function get_split (line 44) | def get_split(split_name, dataset_dir, file_pattern=None, reader=None):

FILE: models/slim/datasets/dataset_factory.py
  function get_dataset (line 34) | def get_dataset(name, split_name, dataset_dir, file_pattern=None, reader...

FILE: models/slim/datasets/dataset_utils.py
  function int64_feature (line 30) | def int64_feature(values):
  function bytes_feature (line 44) | def bytes_feature(values):
  function image_to_tfexample (line 56) | def image_to_tfexample(image_data, image_format, height, width, class_id):
  function download_and_uncompress_tarball (line 66) | def download_and_uncompress_tarball(tarball_url, dataset_dir):
  function write_label_file (line 87) | def write_label_file(labels_to_class_names, dataset_dir,
  function has_labels (line 103) | def has_labels(dataset_dir, filename=LABELS_FILENAME):
  function read_label_file (line 116) | def read_label_file(dataset_dir, filename=LABELS_FILENAME):

FILE: models/slim/datasets/download_and_convert_cifar10.py
  function _add_to_tfrecord (line 64) | def _add_to_tfrecord(filename, tfrecord_writer, offset=0):
  function _get_output_filename (line 108) | def _get_output_filename(dataset_dir, split_name):
  function _download_and_uncompress_dataset (line 121) | def _download_and_uncompress_dataset(dataset_dir):
  function _clean_up_temporary_files (line 142) | def _clean_up_temporary_files(dataset_dir):
  function run (line 156) | def run(dataset_dir):

FILE: models/slim/datasets/download_and_convert_flowers.py
  class ImageReader (line 52) | class ImageReader(object):
    method __init__ (line 55) | def __init__(self):
    method read_image_dims (line 60) | def read_image_dims(self, sess, image_data):
    method decode_jpeg (line 64) | def decode_jpeg(self, sess, image_data):
  function _get_filenames_and_classes (line 72) | def _get_filenames_and_classes(dataset_dir):
  function _get_dataset_filename (line 101) | def _get_dataset_filename(dataset_dir, split_name, shard_id):
  function _convert_dataset (line 107) | def _convert_dataset(split_name, filenames, class_names_to_ids, dataset_...
  function _clean_up_temporary_files (line 153) | def _clean_up_temporary_files(dataset_dir):
  function _dataset_exists (line 167) | def _dataset_exists(dataset_dir):
  function run (line 177) | def run(dataset_dir):

FILE: models/slim/datasets/download_and_convert_mnist.py
  function _extract_images (line 64) | def _extract_images(filename, num_images):
  function _extract_labels (line 84) | def _extract_labels(filename, num_labels):
  function _add_to_tfrecord (line 102) | def _add_to_tfrecord(data_filename, labels_filename, num_images,
  function _get_output_filename (line 132) | def _get_output_filename(dataset_dir, split_name):
  function _download_dataset (line 145) | def _download_dataset(dataset_dir):
  function _clean_up_temporary_files (line 172) | def _clean_up_temporary_files(dataset_dir):
  function run (line 186) | def run(dataset_dir):

FILE: models/slim/datasets/flowers.py
  function get_split (line 44) | def get_split(split_name, dataset_dir, file_pattern=None, reader=None):

FILE: models/slim/datasets/imagenet.py
  function create_readable_names_for_imagenet_labels (line 62) | def create_readable_names_for_imagenet_labels():
  function get_split (line 118) | def get_split(split_name, dataset_dir, file_pattern=None, reader=None):

FILE: models/slim/datasets/mnist.py
  function get_split (line 44) | def get_split(split_name, dataset_dir, file_pattern=None, reader=None):

FILE: models/slim/deployment/model_deploy.py
  function create_clones (line 145) | def create_clones(config, model_fn, args=None, kwargs=None):
  function _gather_clone_loss (line 200) | def _gather_clone_loss(clone, num_clones, regularization_losses):
  function _optimize_clone (line 241) | def _optimize_clone(optimizer, clone, num_clones, regularization_losses,
  function optimize_clones (line 267) | def optimize_clones(clones, optimizer,
  function deploy (line 317) | def deploy(config,
  function _sum_clones_gradients (line 421) | def _sum_clones_gradients(clone_grads):
  function _add_gradients_summaries (line 454) | def _add_gradients_summaries(grads_and_vars):
  class DeploymentConfig (line 481) | class DeploymentConfig(object):
    method __init__ (line 489) | def __init__(self,
    method num_clones (line 542) | def num_clones(self):
    method clone_on_cpu (line 546) | def clone_on_cpu(self):
    method replica_id (line 550) | def replica_id(self):
    method num_replicas (line 554) | def num_replicas(self):
    method num_ps_tasks (line 558) | def num_ps_tasks(self):
    method ps_device (line 562) | def ps_device(self):
    method worker_device (line 566) | def worker_device(self):
    method caching_device (line 569) | def caching_device(self):
    method clone_device (line 582) | def clone_device(self, clone_index):
    method clone_scope (line 606) | def clone_scope(self, clone_index):
    method optimizer_device (line 625) | def optimizer_device(self):
    method inputs_device (line 636) | def inputs_device(self):
    method variables_device (line 648) | def variables_device(self):

FILE: models/slim/deployment/model_deploy_test.py
  class DeploymentConfigTest (line 29) | class DeploymentConfigTest(tf.test.TestCase):
    method testDefaults (line 31) | def testDefaults(self):
    method testCPUonly (line 42) | def testCPUonly(self):
    method testMultiGPU (line 52) | def testMultiGPU(self):
    method testPS (line 64) | def testPS(self):
    method testMultiGPUPS (line 88) | def testMultiGPUPS(self):
    method testReplicasPS (line 103) | def testReplicasPS(self):
    method testReplicasMultiGPUPS (line 115) | def testReplicasMultiGPUPS(self):
    method testVariablesPS (line 130) | def testVariablesPS(self):
  function LogisticClassifier (line 149) | def LogisticClassifier(inputs, labels, scope=None, reuse=None):
  function BatchNormClassifier (line 158) | def BatchNormClassifier(inputs, labels, scope=None, reuse=None):
  class CreatecloneTest (line 169) | class CreatecloneTest(tf.test.TestCase):
    method setUp (line 171) | def setUp(self):
    method testCreateLogisticClassifier (line 183) | def testCreateLogisticClassifier(self):
    method testCreateSingleclone (line 209) | def testCreateSingleclone(self):
    method testCreateMulticlone (line 235) | def testCreateMulticlone(self):
    method testCreateOnecloneWithPS (line 263) | def testCreateOnecloneWithPS(self):
    method testCreateMulticloneWithPS (line 288) | def testCreateMulticloneWithPS(self):
  class OptimizeclonesTest (line 316) | class OptimizeclonesTest(tf.test.TestCase):
    method setUp (line 318) | def setUp(self):
    method testCreateLogisticClassifier (line 330) | def testCreateLogisticClassifier(self):
    method testCreateSingleclone (line 356) | def testCreateSingleclone(self):
    method testCreateMulticlone (line 382) | def testCreateMulticlone(self):
    method testCreateMulticloneCPU (line 409) | def testCreateMulticloneCPU(self):
    method testCreateOnecloneWithPS (line 437) | def testCreateOnecloneWithPS(self):
  class DeployTest (line 465) | class DeployTest(tf.test.TestCase):
    method setUp (line 467) | def setUp(self):
    method testLocalTrainOp (line 479) | def testLocalTrainOp(self):
    method testNoSummariesOnGPU (line 526) | def testNoSummariesOnGPU(self):
    method testNoSummariesOnGPUForEvals (line 545) | def testNoSummariesOnGPUForEvals(self):

FILE: models/slim/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: models/slim/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: models/slim/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: models/slim/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 (line 94) | def inception_resnet_v2(inputs, num_classes=1001, is_training=True,
  function inception_resnet_v2_arg_scope (line 254) | def inception_resnet_v2_arg_scope(weight_decay=0.00004,

FILE: models/slim/nets/inception_resnet_v2_test.py
  class InceptionTest (line 25) | class InceptionTest(tf.test.TestCase):
    method testBuildLogits (line 27) | def testBuildLogits(self):
    method testBuildEndPoints (line 38) | def testBuildEndPoints(self):
    method testVariablesSetDevice (line 57) | def testVariablesSetDevice(self):
    method testHalfSizeImages (line 73) | def testHalfSizeImages(self):
    method testUnknownBatchSize (line 87) | def testUnknownBatchSize(self):
    method testEvaluation (line 102) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 116) | def testTrainEvalWithReuse(self):

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

FILE: models/slim/nets/inception_v1.py
  function inception_v1_base (line 29) | def inception_v1_base(inputs,
  function inception_v1 (line 248) | def inception_v1(inputs,

FILE: models/slim/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: models/slim/nets/inception_v2.py
  function inception_v2_base (line 29) | def inception_v2_base(inputs,
  function inception_v2 (line 416) | def inception_v2(inputs,
  function _reduced_kernel_size_for_small_input (line 489) | def _reduced_kernel_size_for_small_input(input_tensor, kernel_size):

FILE: models/slim/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 testHalfSizeImages (line 167) | def testHalfSizeImages(self):
    method testUnknownImageShape (line 181) | def testUnknownImageShape(self):
    method testUnknowBatchSize (line 199) | def testUnknowBatchSize(self):
    method testEvaluation (line 216) | def testEvaluation(self):
    method testTrainEvalWithReuse (line 231) | def testTrainEvalWithReuse(self):
    method testLogitsNotSqueezed (line 248) | def testLogitsNotSqueezed(self):

FILE: models/slim/nets/inception_v2_tsn.py
  function conv_set (line 15) | def conv_set(net, num_outputs, filter_size, stride=1, weight_std=0.001,
  function pool (line 32) | def pool(net, pool_type='avg', kernel=3, stride=1, padding=0):
  function inception_module (line 45) | def inception_module(net, small_module=False,
  function inception_v2_tsn_base (line 87) | def inception_v2_tsn_base(inputs,
  function inception_v2_tsn (line 210) | def inception_v2_tsn(inputs,
  function _reduced_kernel_size_for_small_input (line 268) | def _reduced_kernel_size_for_small_input(input_tensor, kernel_size):
  function inception_v2_tsn_arg_scope (line 299) | def inception_v2_tsn_arg_scope(weight_decay=0.00004):

FILE: models/slim/nets/inception_v3.py
  function inception_v3_base (line 30) | def inception_v3_base(inputs,
  function inception_v3 (line 424) | def inception_v3(inputs,
  function _reduced_kernel_size_for_small_input (line 538) | def _reduced_kernel_size_for_small_input(input_tensor, kernel_size):

FILE: models/slim/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: models/slim/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: models/slim/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: models/slim/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: models/slim/nets/nets_factory.py
  function get_network_fn (line 94) | def get_network_fn(name, num_classes, num_pose_keypoints, cfg,

FILE: models/slim/nets/nets_factory_test.py
  class NetworksTest (line 28) | class NetworksTest(tf.test.TestCase):
    method testGetNetworkFn (line 30) | def testGetNetworkFn(self):

FILE: models/slim/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: models/slim/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: models/slim/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 209) | def resnet_arg_scope(weight_decay=0.0001,

FILE: models/slim/nets/resnet_v1.py
  function bottleneck (line 69) | def bottleneck(inputs, depth, depth_bottleneck, stride, rate=1,
  function resnet_v1 (line 115) | def resnet_v1(inputs,
  function resnet_v1_50 (line 226) | def resnet_v1_50(inputs,
  function resnet_v1_101 (line 249) | def resnet_v1_101(inputs,
  function resnet_v1_152 (line 276) | def resnet_v1_152(inputs,
  function resnet_v1_200 (line 298) | def resnet_v1_200(inputs,

FILE: models/slim/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 187) | def _stack_blocks_nondense(self, net, blocks):
    method _atrousValues (line 201) | def _atrousValues(self, bottleneck):
    method testAtrousValuesBottleneck (line 247) | def testAtrousValuesBottleneck(self):
  class ResnetCompleteNetworkTest (line 251) | class ResnetCompleteNetworkTest(tf.test.TestCase):
    method _resnet_small (line 254) | def _resnet_small(self,
    method testClassificationEndPoints (line 282) | def testClassificationEndPoints(self):
    method testClassificationShapes (line 296) | def testClassificationShapes(self):
    method testFullyConvolutionalEndpointShapes (line 313) | def testFullyConvolutionalEndpointShapes(self):
    method testRootlessFullyConvolutionalEndpointShapes (line 330) | def testRootlessFullyConvolutionalEndpointShapes(self):
    method testAtrousFullyConvolutionalEndpointShapes (line 348) | def testAtrousFullyConvolutionalEndpointShapes(self):
    method testAtrousFullyConvolutionalValues (line 368) | def testAtrousFullyConvolutionalValues(self):
    method testUnknownBatchSize (line 395) | def testUnknownBatchSize(self):
    method testFullyConvolutionalUnknownHeightWidth (line 414) | def testFullyConvolutionalUnknownHeightWidth(self):
    method testAtrousFullyConvolutionalUnknownHeightWidth (line 429) | def testAtrousFullyConvolutionalUnknownHeightWidth(self):

FILE: models/slim/nets/resnet_v2.py
  function bottleneck (line 64) | def bottleneck(inputs, depth, depth_bottleneck, stride, rate=1,
  function resnet_v2 (line 113) | def resnet_v2(inputs,
  function resnet_v2_50 (line 217) | def resnet_v2_50(inputs,
  function resnet_v2_101 (line 239) | def resnet_v2_101(inputs,
  function resnet_v2_152 (line 261) | def resnet_v2_152(inputs,
  function resnet_v2_200 (line 283) | def resnet_v2_200(inputs,

FILE: models/slim/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 187) | def _stack_blocks_nondense(self, net, blocks):
    method _atrousValues (line 201) | def _atrousValues(self, bottleneck):
    method testAtrousValuesBottleneck (line 247) | def testAtrousValuesBottleneck(self):
  class ResnetCompleteNetworkTest (line 251) | class ResnetCompleteNetworkTest(tf.test.TestCase):
    method _resnet_small (line 254) | def _resnet_small(self,
    method testClassificationEndPoints (line 282) | def testClassificationEndPoints(self):
    method testClassificationShapes (line 296) | def testClassificationShapes(self):
    method testFullyConvolutionalEndpointShapes (line 313) | def testFullyConvolutionalEndpointShapes(self):
    method testRootlessFullyConvolutionalEndpointShapes (line 330) | def testRootlessFullyConvolutionalEndpointShapes(self):
    method testAtrousFullyConvolutionalEndpointShapes (line 348) | def testAtrousFullyConvolutionalEndpointShapes(self):
    method testAtrousFullyConvolutionalValues (line 368) | def testAtrousFullyConvolutionalValues(self):
    method testUnknownBatchSize (line 397) | def testUnknownBatchSize(self):
    method testFullyConvolutionalUnknownHeightWidth (line 416) | def testFullyConvolutionalUnknownHeightWidth(self):
    method testAtrousFullyConvolutionalUnknownHeightWidth (line 432) | def testAtrousFullyConvolutionalUnknownHeightWidth(self):

FILE: models/slim/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 125) | def vgg_16(inputs,
  function vgg_19 (line 192) | def vgg_19(inputs,

FILE: models/slim/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):

FILE: models/slim/preprocessing/cifarnet_preprocessing.py
  function preprocess_for_train (line 30) | def preprocess_for_train(image,
  function preprocess_for_eval (line 73) | def preprocess_for_eval(image, output_height, output_width):
  function preprocess_image (line 98) | def preprocess_image(image, output_height, output_width, is_training=Fal...

FILE: models/slim/preprocessing/inception_preprocessing.py
  function apply_with_random_selector (line 26) | def apply_with_random_selector(x, func, num_cases):
  function distort_color (line 45) | def distort_color(image, color_ordering=0, fast_mode=True, scope=None):
  function distorted_bounding_box_crop (line 99) | def distorted_bounding_box_crop(image,
  function preprocess_for_train (line 157) | def preprocess_for_train(image, height, width, bbox,
  function preprocess_for_eval (line 240) | def preprocess_for_eval(image, height, width,
  function preprocess_image (line 281) | def preprocess_image(image, height, width,

FILE: models/slim/preprocessing/lenet_preprocessing.py
  function preprocess_image (line 26) | def preprocess_image(image, output_height, output_width, is_training):

FILE: models/slim/preprocessing/preprocessing_factory.py
  function get_preprocessing (line 31) | def get_preprocessing(name, is_training=False):

FILE: models/slim/preprocessing/vgg_preprocessing.py
  function _crop (line 52) | def _crop(image, offset_height, offset_width, crop_height, crop_width):
  function _random_crop (line 97) | def _random_crop(image_list, crop_height, crop_width, preproc_info):
  function _central_crop (line 183) | def _central_crop(image_list, crop_height, crop_width):
  function _mean_image_subtraction (line 208) | def _mean_image_subtraction(image, means):
  function _smallest_size_at_least (line 241) | def _smallest_size_at_least(height, width, smallest_side):
  function _aspect_preserving_resize (line 271) | def _aspect_preserving_resize(image, smallest_side):
  function preprocess_for_train (line 297) | def preprocess_for_train(image,
  function preprocess_for_eval (line 355) | def preprocess_for_eval(image, output_height, output_width, resize_side):
  function preprocess_image (line 376) | def preprocess_image(image, output_height, output_width, is_training=False,

FILE: src/config.py
  function get_output_dir (line 275) | def get_output_dir(config_file_name):
  function _merge_a_into_b (line 287) | def _merge_a_into_b(a, b):
  function cfg_from_file (line 319) | def cfg_from_file(filename):
  function cfg_from_list (line 327) | def cfg_from_list(cfg_list):

FILE: src/custom_ops/custom_ops_factory.py
  function pose_to_heatmap (line 20) | def pose_to_heatmap(*args, **kwargs):
  function zero_out_channels (line 30) | def zero_out_channels(*args, **kwargs):
  function render_pose (line 34) | def render_pose(*args, **kwargs):
  function read_json_pose_fn (line 66) | def read_json_pose_fn(fpath):
  function read_json_pose (line 85) | def read_json_pose(*args):
  function render_objects (line 88) | def render_objects(*args, **kwargs):
  function extract_glimpse (line 96) | def extract_glimpse(image, pose_label, orig_im_ht, orig_im_wd,
  function read_sparse_label_fn (line 143) | def read_sparse_label_fn(sparse_label, nclasses):
  function read_sparse_label (line 152) | def read_sparse_label(*args):

FILE: src/custom_ops/pose_to_heatmap.cc
  class PoseToHeatmapOp (line 24) | class PoseToHeatmapOp : public OpKernel {
    method PoseToHeatmapOp (line 26) | explicit PoseToHeatmapOp(OpKernelConstruction* context) : OpKernel(con...
    method Compute (line 35) | void Compute(OpKernelContext* context) override {

FILE: src/custom_ops/pose_utils.hpp
  function Mat (line 64) | Mat render_pose(vector<vector<tuple<float,float,float>>> poses,
  function read_pose_xml (line 117) | vector<vector<tuple<float,float,float>>> read_pose_xml(string xml_str, i...

FILE: src/custom_ops/render_objects.cc
  function read_detections (line 22) | void read_detections(
  class RenderObjectsOp (line 35) | class RenderObjectsOp : public OpKernel {
    method RenderObjectsOp (line 37) | explicit RenderObjectsOp(OpKernelConstruction* context) : OpKernel(con...
    method Compute (line 42) | void Compute(OpKernelContext* context) override {

FILE: src/custom_ops/render_pose.cc
  class RenderPoseOp (line 26) | class RenderPoseOp : public OpKernel {
    method RenderPoseOp (line 28) | explicit RenderPoseOp(OpKernelConstruction* context) : OpKernel(contex...
    method Compute (line 35) | void Compute(OpKernelContext* context) override {
    method convert_pose_mpii_to_coco (line 96) | vector<tuple<float,float,float>> convert_pose_mpii_to_coco(

FILE: src/custom_ops/zero_out_channels.cc
  class ZeroOutChannelsOp (line 18) | class ZeroOutChannelsOp : public OpKernel {
    method ZeroOutChannelsOp (line 20) | explicit ZeroOutChannelsOp(OpKernelConstruction* context) : OpKernel(c...
    method Compute (line 22) | void Compute(OpKernelContext* context) override {

FILE: src/datasets/charades.py
  function get_split (line 14) | def get_split(split_name, dataset_dir,

FILE: src/datasets/dataset_factory.py
  function get_dataset (line 22) | def get_dataset(name, split_name, dataset_dir, file_pattern=None, reader...

FILE: src/datasets/dataset_utils.py
  function int64_feature (line 30) | def int64_feature(values):
  function bytes_feature (line 44) | def bytes_feature(values):
  function image_to_tfexample (line 56) | def image_to_tfexample(image_data, image_format, height, width, class_id):
  function download_and_uncompress_tarball (line 66) | def download_and_uncompress_tarball(tarball_url, dataset_dir):
  function write_label_file (line 87) | def write_label_file(labels_to_class_names, dataset_dir,
  function has_labels (line 103) | def has_labels(dataset_dir, filename=LABELS_FILENAME):
  function read_label_file (line 116) | def read_label_file(dataset_dir, filename=LABELS_FILENAME):

FILE: src/datasets/hico.py
  function get_split (line 14) | def get_split(split_name, dataset_dir,

FILE: src/datasets/hmdb51.py
  function get_split (line 14) | def get_split(split_name, dataset_dir,

FILE: src/datasets/image_read_utils.py
  function _get_frame_sublist (line 12) | def _get_frame_sublist(start_frame, duration, num_samples, num_consec_fr...
  function _get_frame_sublist_SAME_AS_CAFFE (line 46) | def _get_frame_sublist_SAME_AS_CAFFE(
  function _read_from_disk_spatial (line 82) | def _read_from_disk_spatial(fpath, nframes, num_samples=25, start_frame=0,
  function _read_from_disk_temporal (line 108) | def _read_from_disk_temporal(
  function _read_from_disk_pose (line 147) | def _read_from_disk_pose(
  function decode_rgb (line 186) | def decode_rgb(img_str):
  function decode_flow (line 199) | def decode_flow(img_str, perImageChannels=1):
  function decode_poseJson (line 213) | def decode_poseJson(img_str, perImageChannels=1):
  function _decode_from_string (line 232) | def _decode_from_string(img_str, modality):

FILE: src/datasets/jhmdb21.py
  function get_split (line 14) | def get_split(split_name, dataset_dir,

FILE: src/datasets/mpii.py
  function _tfrecord_file_pattern_to_list (line 26) | def _tfrecord_file_pattern_to_list(pattern):
  function get_split (line 31) | def get_split(split_name, dataset_dir, file_pattern=None, reader=None):

FILE: src/datasets/video_data_utils.py
  class PreReadTextLineReader (line 23) | class PreReadTextLineReader(tf.ReaderBase):
    method read (line 25) | def read(lines_queue):
  function decode_train_file_line (line 38) | def decode_train_file_line(line, input_file_style='3-col',
  function getReaderFn (line 63) | def getReaderFn(num_samples, modality='rgb', dataset_dir='',
  function decoderFn (line 147) | def decoderFn(
  function count_frames_file (line 217) | def count_frames_file(fpath, frameLevel=True):
  function gen_dataset (line 228) | def gen_dataset(split_name, dataset_dir, file_pattern=None,

FILE: src/eval.py
  function parse_args (line 30) | def parse_args():
  function mkdir_p (line 78) | def mkdir_p(dpath):
  function main (line 85) | def main():

FILE: src/eval/cap_eval_utils.py
  function calc_pr_ovr (line 13) | def calc_pr_ovr(counts, out, K):
  function calc_pr_ovr_noref (line 55) | def calc_pr_ovr_noref(counts, out):
  function voc_ap (line 92) | def voc_ap(rec, prec):
  function compute_precision_score_mapping (line 111) | def compute_precision_score_mapping(thresh, prec, score):
  function human_agreement (line 130) | def human_agreement(gt, K):
  function compute_warpstyle_pr (line 162) | def compute_warpstyle_pr(gtLabel, predMat, topK):
  function print_benchmark_latex (line 198) | def print_benchmark_latex(evalFile, vocab = None, sortBy = "words", \
  function print_benchmark_plain (line 240) | def print_benchmark_plain(evalFile, vocab = None, \

FILE: src/eval/utils.py
  function compute_map (line 4) | def compute_map(all_logits, all_labels):

FILE: src/loss.py
  function gen_losses (line 4) | def gen_losses(

FILE: src/preprocess_pipeline.py
  function _resize_if_needed (line 5) | def _resize_if_needed(image, max_wd):
  function _replay_augmentation (line 21) | def _replay_augmentation(H, aug_info):
  function _get_other_items (line 48) | def _get_other_items(provider, stuff, existing_items, new_items):
  function get_input (line 58) | def get_input(provider, cfg, items):
  function train_preprocess_pipeline (line 135) | def train_preprocess_pipeline(provider, cfg, network_fn, num_pose_keypoi...

FILE: src/restore/model_restorer.py
  function restore_model (line 11) | def restore_model(checkpoint_path,
  function assign_from_checkpoint_fn (line 80) | def assign_from_checkpoint_fn(model_path, var_list, ignore_missing_vars=...
  function get_special_assigns (line 160) | def get_special_assigns(special_assign_vars):

FILE: src/restore/var_name_mapper.py
  function map (line 1) | def map(var_name_mapping):
  function placenet365_vgg_fn (line 16) | def placenet365_vgg_fn(var_name):
  function cuhk_action_vgg (line 26) | def cuhk_action_vgg(var_name):
  function xiaolonw_action_vgg_hmdb (line 36) | def xiaolonw_action_vgg_hmdb(var_name):
  function cuhk_action_tsn (line 46) | def cuhk_action_tsn(var_name):

FILE: src/train.py
  function _configure_learning_rate (line 29) | def _configure_learning_rate(num_samples_per_epoch, num_clones, global_s...
  function _configure_optimizer (line 72) | def _configure_optimizer(learning_rate):
  function _add_variables_summaries (line 108) | def _add_variables_summaries(learning_rate):
  function _get_init_fn (line 117) | def _get_init_fn(train_dir):
  function _get_variables_to_train (line 166) | def _get_variables_to_train():
  function _gen_overlayed_img (line 184) | def _gen_overlayed_img(hmap, img):
  function _summarize_heatmaps (line 198) | def _summarize_heatmaps(name, tensor, img_tensor):
  function _train_step (line 215) | def _train_step(sess, train_op, global_step, train_step_kwargs):
  function parse_args (line 283) | def parse_args():
  function main (line 296) | def main():

FILE: utils/dataset_utils/gen_tfrecord_mpii.py
  class ImageReader (line 33) | class ImageReader(object):
    method __init__ (line 36) | def __init__(self):
    method read_image_dims (line 41) | def read_image_dims(self, sess, image_data):
    method decode_jpeg (line 45) | def decode_jpeg(self, sess, image_data):
  function int64_feature (line 53) | def int64_feature(values):
  function float_feature (line 67) | def float_feature(values):
  function bytes_feature (line 71) | def bytes_feature(values):
  function image_to_tfexample (line 83) | def image_to_tfexample(image_data, image_format, height, width,
  function _get_dataset_filename (line 97) | def _get_dataset_filename(dataset_dir, split_name, shard_id):
  function _convert_dataset (line 103) | def _convert_dataset(split_name, list_to_write, dataset_dir):
  function _get_action_class (line 150) | def _get_action_class(cname, D, act_id):
  function main (line 163) | def main():