function.defun(input_signature=[tensor_spec.TensorSpec([5], dtypes.int64)])

function.defun(input_signature=[tensor_spec.TensorSpec([], dtypes.int32)])

tf_export(v1=["gfile.DeleteRecursively"])

tf_export(v1=["delete_session_tensor"])

dispatch.add_dispatch_support

dispatch.add_dispatch_support

dispatch.add_dispatch_support

dispatch.add_dispatch_support

dispatch.add_dispatch_support

dispatch.add_dispatch_support

deprecated(None, 'Please feed input to tf.data to support dask.')

deprecated(None, 'Please feed input to tf.data to support dask.')

tf_export(v1=["image.extract_image_patches", "extract_image_patches"])

tf_export("image.extract_patches")

def_function.function(input_signature=[ tensor_spec.TensorSpec(shape=[], dtype=dtypes.int64)])

custom_gradient.recompute_grad

def_function.function(input_signature=input_signature)

def_function.function( input_signature=[tensor_spec.TensorSpec(None, dtypes.float32)])

def_function.function(input_signature=[])

tf.function(input_signature=[ tf.TensorSpec([1], tf.float32), tf.TensorSpec([2], tf.float32) ])

tf.function(input_signature=[])

tf.function(input_signature=[[ tf.TensorSpec([], tf.float32), tf.TensorSpec([], tf.float32), ]])

tf.function(input_signature=[])

tf.function(input_signature=[{ 'x': tf.TensorSpec([1], tf.float32), 'y': tf.TensorSpec([2], tf.flo

tf.function(input_signature=[])

tf.function(input_signature=[{ 'y': tf.TensorSpec([2], tf.float32), 'x': tf.TensorSpec([1], tf.flo

tf.function(input_signature=[])

tf.function(input_signature=[{ 'x': tf.TensorSpec([4], tf.float32), 'y': tf.TensorSpec([5], tf.flo

tf.function(input_signature=[])

tf.function(input_signature=[])

tf.function(input_signature=[{ 'x': [tf.TensorSpec([1], tf.float32), tf.TensorSpec([2], tf.f

tf.function(input_signature=[tf.TensorSpec([], tf.float32)])

dispatch.add_dispatch_support

function.defun(input_signature=[tensor_spec.TensorSpec([], dtypes.int32)])

rev_block_lib.recompute_grad(use_data_dep=True, tupleize_grads=True)

rev_block_lib.recompute_grad

rev_block_lib.recompute_grad(tupleize_grads=True)

rev_block_lib.recompute_grad(use_data_dep=True)

rev_block_lib.recompute_grad

function.defun(input_signature=[ [tensor_spec.TensorSpec((2, None), dtypes.float32)] * 2, tens

function.defun(input_signature=[rank2_spec])

def_function.function( input_signature=[tensor_spec.TensorSpec(None, dtypes.float32)])

def_function.function(input_signature=[ tensor_spec.TensorSpec(shape=[1, 5, 5, 3], dtype=dtypes.float3

def_function.function(input_signature=[ tensor_spec.TensorSpec(shape=(2, 2), dtype=dtypes.float32)

ops.RegisterGradient("FusedEmbeddingSparsePostLookUp")

def_function.function(input_signature=[ tensor_spec.TensorSpec(None, dtypes.float32)])

dispatch.add_dispatch_support

dispatch.add_dispatch_support

dispatch.add_dispatch_support

dispatch.add_dispatch_support

deprecated('2017-03-25', 'signature_fns are deprecated. For canned Estimators they are no '

keras_export('keras.initializers.get')

keras_export('keras.metrics.get')

keras_export('keras.losses.get')

keras_export('keras.activations.get')

keras_export('keras.regularizers.get')

keras_export('keras.constraints.get')

keras_export('keras.optimizers.get')

deprecation.deprecated( "2019-06-06", "Please use tensorflow.python.ops.op_selector.get_backward_walk_

deprecation.deprecated( date=None, instructions="Use standard file utilities to get mtimes.")

tf_export("train.get_checkpoint_state")

tf_export(v1=["get_collection"])

tf_export(v1=["get_collection_ref"])

tf_export('sysconfig.get_compile_flags')

keras_export('keras.utils.get_custom_objects')

tf_export(v1=['resource_loader.get_data_files_path'])

tf_export(v1=["get_default_graph"])

tf_export(v1=["get_default_session"])

tf_export('config.experimental.get_device_policy')

tf_export(v1=["get_dynamic_dimension_embedding_variable"])

tf_export(v1=["get_embedding_variable"])

keras_export('keras.utils.get_file')

tf_export("random.experimental.get_global_generator")

deprecated(None, 'Please switch to tf.train.get_global_step')

tf_export(v1=['train.get_global_step'])

tf_export(v1=["get_hash_table"])

tf_export('sysconfig.get_include')

tf.function(input_signature=[tf.TensorSpec([None, None], tf.float32)])

tf_export('config.threading.get_inter_op_parallelism_threads')

tf_export('config.threading.get_intra_op_parallelism_threads')

tf_export(v1=["data.get_output_classes"])

tf_export(v1=["data.get_output_shapes"])

tf_export(v1=["data.get_output_types"])

tf_export('sysconfig.get_lib')

tf_export('sysconfig.get_link_flags')

tf_export(v1=["get_local_variable"])

tf_export("debugging.get_log_device_placement")

tf_export('get_logger')

tf_export(v1=["distribute.get_loss_reduction"])

deprecated("2016-12-30", "Use tf.losses.get_losses instead.")

tf_export(v1=["losses.get_losses"])

tf_export('config.experimental.get_memory_growth')

tf_export(v1=["get_multihash_variable"])

tf_export("data.experimental.get_next_as_optional")

tf_export('config.optimizer.get_experimental_options')

tf_export('config.optimizer.get_jit')

deprecated(None, 'Please switch to tf.train.get_or_create_global_step')

tf_export(v1=['train.get_or_create_global_step'])

tf_export(v1=['resource_loader.get_path_to_datafile'])

tf_export(v1=["lite.experimental.get_potentially_supported_ops"])