SYMBOL INDEX (192 symbols across 31 files)

FILE: classify.py
  function classify (line 17) | def classify(tfrecords, checkpoint_path, save_path, max_iterations, save...
  function parse_args (line 155) | def parse_args():
  function main (line 199) | def main():

FILE: config/parse_config.py
  function parse_config_file (line 8) | def parse_config_file(path_to_config):

FILE: export.py
  function export (line 47) | def export(checkpoint_path,
  function parse_args (line 372) | def parse_args():

FILE: extract.py
  function extract_features (line 21) | def extract_features(tfrecords, checkpoint_path, num_iterations, feature...
  function extract_and_save (line 155) | def extract_and_save(tfrecords, checkpoint_path, save_path, num_iteratio...
  function parse_args (line 172) | def parse_args():
  function main (line 217) | def main():

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 (line 94) | def inception_resnet_v2(inputs, num_classes=1001, is_training=True,
  function inception_resnet_v2_arg_scope (line 259) | 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 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: 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 248) | 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 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: 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: 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):
  function _kernel_to_1x1_for_specific_input (line 562) | def _kernel_to_1x1_for_specific_input(input_tensor):

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/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 344) | def wrapped_partial(func, *args, **kwargs):
  function _reduced_kernel_size_for_small_input (line 355) | def _reduced_kernel_size_for_small_input(input_tensor, kernel_size):
  function mobilenet_v1_arg_scope (line 377) | 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/net_profile.py
  function profile (line 11) | def profile(model_name, num_classes, image_size, batch_size):
  function parse_args (line 43) | def parse_args():
  function main (line 66) | def main():

FILE: nets/nets_factory.py
  function get_network_fn (line 62) | def get_network_fn(name, num_classes, weight_decay=0.0, is_training=False):

FILE: nets/nets_factory_test.py
  class NetworksTest (line 28) | class NetworksTest(tf.test.TestCase):
    method testGetNetworkFn (line 30) | def testGetNetworkFn(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_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 226) | def resnet_v2_block(scope, base_depth, num_units, stride):
  function resnet_v2_50 (line 251) | def resnet_v2_50(inputs,
  function resnet_v2_101 (line 274) | def resnet_v2_101(inputs,
  function resnet_v2_152 (line 296) | def resnet_v2_152(inputs,
  function resnet_v2_200 (line 319) | 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: preprocessing/decode_example.py
  function decode_serialized_example (line 7) | def decode_serialized_example(serialized_example, features_to_fetch, dec...

FILE: preprocessing/inputs.py
  function apply_with_random_selector (line 33) | def apply_with_random_selector(x, func, num_cases):
  function distort_color (line 50) | def distort_color(image, color_ordering=0, fast_mode=True, scope=None):
  function distorted_bounding_box_crop (line 101) | def distorted_bounding_box_crop(image,
  function _largest_size_at_most (line 155) | def _largest_size_at_most(height, width, largest_side):
  class DistortedInputs (line 181) | class DistortedInputs():
    method __init__ (line 183) | def __init__(self, cfg, add_summaries):
    method apply (line 187) | def apply(self, original_image, bboxes, distorted_inputs, image_summar...
  function check_normalized_box_values (line 331) | def check_normalized_box_values(xmin, ymin, xmax, ymax, maximum_normaliz...
  function expand_bboxes (line 369) | def expand_bboxes(xmin, xmax, ymin, ymax, cfg):
  function get_region_data (line 390) | def get_region_data(serialized_example, cfg, fetch_ids=True, fetch_label...
  function bbox_crop_loop_cond (line 515) | def bbox_crop_loop_cond(original_image, bboxes, distorted_inputs, image_...
  function get_distorted_inputs (line 519) | def get_distorted_inputs(original_image, bboxes, cfg, add_summaries):
  function create_training_batch (line 559) | def create_training_batch(serialized_example, cfg, add_summaries, read_f...
  function create_visualization_batch (line 577) | def create_visualization_batch(serialized_example, cfg, add_summaries, f...
  function create_classification_batch (line 620) | def create_classification_batch(serialized_example, cfg, add_summaries, ...
  function input_nodes (line 638) | def input_nodes(tfrecords, cfg, num_epochs=None, batch_size=32, num_thre...

FILE: test.py
  function test (line 16) | def test(tfrecords, checkpoint_path, save_dir, max_iterations, eval_inte...
  function parse_args (line 171) | def parse_args():
  function main (line 214) | def main():

FILE: tfserving/client.py
  function parse_args (line 25) | def parse_args():
  function main (line 57) | def main():

FILE: tfserving/inputs.py
  function prepare_image (line 14) | def prepare_image(image, input_height=299, input_width=299):

FILE: tfserving/tfserver.py
  function predict (line 20) | def predict(image_data,
  function process_classification_prediction (line 59) | def process_classification_prediction(predictions, max_classes=10):

FILE: train.py
  function _configure_learning_rate (line 36) | def _configure_learning_rate(global_step, cfg):
  function _configure_optimizer (line 74) | def _configure_optimizer(learning_rate, cfg):
  function get_trainable_variables (line 122) | def get_trainable_variables(trainable_scopes):
  function get_init_function (line 140) | def get_init_function(logdir, pretrained_model_path, checkpoint_exclude_...
  function train (line 251) | def train(tfrecords, logdir, cfg, pretrained_model_path=None, trainable_...
  function parse_args (line 407) | def parse_args():
  function main (line 470) | def main():

FILE: visualize_train_inputs.py
  function visualize_train_inputs (line 14) | def visualize_train_inputs(tfrecords, cfg, show_text_labels=False, read_...
  function parse_args (line 112) | def parse_args():
  function main (line 135) | def main():