STT-tensorflow/tensorflow/python/keras/layers/BUILD

901 lines
26 KiB
Python

# Description:
# Contains the Keras layers (internal TensorFlow version).
load("//tensorflow:tensorflow.bzl", "tf_py_test")
load("//tensorflow:tensorflow.bzl", "cuda_py_test")
package(
# TODO(scottzhu): Remove non-keras deps from TF.
default_visibility = [
"//tensorflow/python/distribute:__pkg__",
"//tensorflow/python/feature_column:__pkg__",
"//tensorflow/python/keras:__subpackages__",
"//tensorflow/python/training/tracking:__pkg__",
"//tensorflow/tools/pip_package:__pkg__",
],
licenses = ["notice"], # Apache 2.0
)
exports_files(["LICENSE"])
# A separate build for layers without serialization to avoid circular deps
# with feature column.
py_library(
name = "layers",
srcs = [
"__init__.py",
"serialization.py",
],
srcs_version = "PY2AND3",
deps = [
":advanced_activations",
":convolutional",
":convolutional_recurrent",
":core",
":cudnn_recurrent",
":dense_attention",
":einsum_dense",
":embeddings",
":kernelized",
":local",
":merge",
":noise",
":normalization",
":normalization_v2",
":pooling",
":recurrent",
":recurrent_v2",
":rnn_cell_wrapper_v2",
":wrappers",
"//tensorflow/python/keras/layers/preprocessing",
"//tensorflow/python/keras/utils:tf_utils",
],
)
py_library(
name = "advanced_activations",
srcs = ["advanced_activations.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:math_ops",
"//tensorflow/python:util",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras:constraints",
"//tensorflow/python/keras:initializers",
"//tensorflow/python/keras:regularizers",
"//tensorflow/python/keras/engine:input_spec",
"//tensorflow/python/keras/utils:tf_utils",
],
)
py_library(
name = "convolutional",
srcs = ["convolutional.py"],
srcs_version = "PY2AND3",
deps = [
":pooling",
"//tensorflow/python:array_ops",
"//tensorflow/python:nn",
"//tensorflow/python:nn_ops",
"//tensorflow/python:tensor_shape",
"//tensorflow/python:util",
"//tensorflow/python/eager:context",
"//tensorflow/python/keras:activations",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras:constraints",
"//tensorflow/python/keras:initializers",
"//tensorflow/python/keras:regularizers",
"//tensorflow/python/keras/engine:input_spec",
"//tensorflow/python/keras/utils:engine_utils",
"//tensorflow/python/keras/utils:tf_utils",
],
)
py_library(
name = "convolutional_recurrent",
srcs = ["convolutional_recurrent.py"],
srcs_version = "PY2AND3",
deps = [
":recurrent",
"//tensorflow/python:array_ops",
"//tensorflow/python:util",
"//tensorflow/python/keras:activations",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras:constraints",
"//tensorflow/python/keras:initializers",
"//tensorflow/python/keras:regularizers",
"//tensorflow/python/keras/engine:input_spec",
"//tensorflow/python/keras/utils:engine_utils",
"//tensorflow/python/keras/utils:generic_utils",
"//tensorflow/python/keras/utils:tf_utils",
"//third_party/py/numpy",
],
)
py_library(
name = "core",
srcs = ["core.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:array_ops",
"//tensorflow/python:constant_op",
"//tensorflow/python:dtypes",
"//tensorflow/python:framework_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:nn",
"//tensorflow/python:platform",
"//tensorflow/python:sparse_ops",
"//tensorflow/python:standard_ops",
"//tensorflow/python:tensor_shape",
"//tensorflow/python:util",
"//tensorflow/python:variable_scope",
"//tensorflow/python/eager:backprop",
"//tensorflow/python/eager:context",
"//tensorflow/python/keras:activations",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras:constraints",
"//tensorflow/python/keras:initializers",
"//tensorflow/python/keras:losses",
"//tensorflow/python/keras:regularizers",
"//tensorflow/python/keras/engine:input_spec",
"//tensorflow/python/keras/engine:keras_tensor",
"//tensorflow/python/keras/layers/ops:core",
"//tensorflow/python/keras/utils:engine_utils",
"//tensorflow/python/keras/utils:generic_utils",
"//tensorflow/python/keras/utils:tf_utils",
"//tensorflow/python/training/tracking:base",
"//third_party/py/numpy",
],
)
py_library(
name = "cudnn_recurrent",
srcs = ["cudnn_recurrent.py"],
srcs_version = "PY2AND3",
deps = [
":recurrent",
":recurrent_v2",
"//tensorflow/python:array_ops",
"//tensorflow/python:constant_op",
"//tensorflow/python:cudnn_rnn_ops_gen",
"//tensorflow/python:state_ops",
"//tensorflow/python:util",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:constraints",
"//tensorflow/python/keras:initializers",
"//tensorflow/python/keras:regularizers",
"//tensorflow/python/keras/engine:input_spec",
],
)
py_library(
name = "dense_attention",
srcs = ["dense_attention.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:array_ops",
"//tensorflow/python:dtypes",
"//tensorflow/python:framework_ops",
"//tensorflow/python:init_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:nn",
"//tensorflow/python:tensor_shape",
"//tensorflow/python:util",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras/utils:tf_utils",
],
)
py_library(
name = "einsum_dense",
srcs = ["einsum_dense.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:special_math_ops",
"//tensorflow/python:tensor_shape",
"//tensorflow/python:util",
"//tensorflow/python/keras:activations",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras:constraints",
"//tensorflow/python/keras:initializers",
"//tensorflow/python/keras:regularizers",
],
)
py_library(
name = "embeddings",
srcs = ["embeddings.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:embedding_ops",
"//tensorflow/python:framework_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:util",
"//tensorflow/python/distribute:sharded_variable",
"//tensorflow/python/eager:context",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:constraints",
"//tensorflow/python/keras:initializers",
"//tensorflow/python/keras:regularizers",
"//tensorflow/python/keras/engine:base_layer",
"//tensorflow/python/keras/utils:tf_utils",
],
)
py_library(
name = "kernelized",
srcs = ["kernelized.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:dtypes",
"//tensorflow/python:framework_ops",
"//tensorflow/python:init_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:nn",
"//tensorflow/python:tensor_shape",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras:initializers",
"//tensorflow/python/keras/engine:input_spec",
"//third_party/py/numpy",
"@six_archive//:six",
],
)
py_library(
name = "local",
srcs = ["local.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:util",
"//tensorflow/python/keras:activations",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras:constraints",
"//tensorflow/python/keras:initializers",
"//tensorflow/python/keras:regularizers",
"//tensorflow/python/keras/engine:input_spec",
"//tensorflow/python/keras/utils:engine_utils",
"//tensorflow/python/keras/utils:tf_utils",
"//third_party/py/numpy",
],
)
py_library(
name = "merge",
srcs = ["merge.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:array_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:nn",
"//tensorflow/python:util",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras/utils:tf_utils",
],
)
py_library(
name = "noise",
srcs = ["noise.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:array_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:util",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras/utils:tf_utils",
"//third_party/py/numpy",
],
)
py_library(
name = "normalization",
srcs = ["normalization.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:array_ops",
"//tensorflow/python:constant_op",
"//tensorflow/python:dtypes",
"//tensorflow/python:framework_ops",
"//tensorflow/python:init_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:nn",
"//tensorflow/python:platform",
"//tensorflow/python:state_ops",
"//tensorflow/python:tensor_shape",
"//tensorflow/python:util",
"//tensorflow/python:variables",
"//tensorflow/python/distribute:distribute_lib",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras:constraints",
"//tensorflow/python/keras:initializers",
"//tensorflow/python/keras:regularizers",
"//tensorflow/python/keras/engine:base_layer_utils",
"//tensorflow/python/keras/engine:input_spec",
"//tensorflow/python/keras/utils:tf_utils",
],
)
py_library(
name = "normalization_v2",
srcs = ["normalization_v2.py"],
srcs_version = "PY2AND3",
deps = [
":normalization",
"//tensorflow/python:util",
],
)
py_library(
name = "pooling",
srcs = ["pooling.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:array_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:nn",
"//tensorflow/python:tensor_shape",
"//tensorflow/python:util",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras/engine:input_spec",
"//tensorflow/python/keras/utils:engine_utils",
],
)
py_library(
name = "recurrent",
srcs = ["recurrent.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:array_ops",
"//tensorflow/python:control_flow_ops",
"//tensorflow/python:control_flow_util",
"//tensorflow/python:framework_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:platform",
"//tensorflow/python:state_ops",
"//tensorflow/python:tensor_shape",
"//tensorflow/python:util",
"//tensorflow/python/distribute:distribute_lib",
"//tensorflow/python/eager:context",
"//tensorflow/python/keras:activations",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras:constraints",
"//tensorflow/python/keras:initializers",
"//tensorflow/python/keras:regularizers",
"//tensorflow/python/keras/engine:input_spec",
"//tensorflow/python/keras/utils:generic_utils",
"//tensorflow/python/keras/utils:tf_utils",
"//tensorflow/python/training/tracking:base",
"//tensorflow/python/training/tracking:data_structures",
"//tensorflow/tools/docs:doc_controls",
"//third_party/py/numpy",
],
)
py_library(
name = "recurrent_v2",
srcs = ["recurrent_v2.py"],
srcs_version = "PY2AND3",
deps = [
":recurrent",
"//tensorflow/python:array_ops",
"//tensorflow/python:constant_op",
"//tensorflow/python:control_flow_ops",
"//tensorflow/python:cudnn_rnn_ops_gen",
"//tensorflow/python:device",
"//tensorflow/python:dtypes",
"//tensorflow/python:framework_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:nn",
"//tensorflow/python:platform",
"//tensorflow/python:platform_build_info",
"//tensorflow/python:resource_variable_ops",
"//tensorflow/python:state_ops",
"//tensorflow/python:util",
"//tensorflow/python/eager:context",
"//tensorflow/python/eager:function",
"//tensorflow/python/keras:activations",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras/engine:input_spec",
],
)
py_library(
name = "rnn_cell_wrapper_v2",
srcs = ["rnn_cell_wrapper_v2.py"],
srcs_version = "PY2AND3",
deps = [
":recurrent",
"//tensorflow/python:rnn_cell",
"//tensorflow/python:util",
],
)
py_library(
name = "wrappers",
srcs = ["wrappers.py"],
srcs_version = "PY2AND3",
deps = [
":recurrent",
"//tensorflow/python:array_ops",
"//tensorflow/python:tensor_shape",
"//tensorflow/python:util",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:base_layer",
"//tensorflow/python/keras/engine:input_spec",
"//tensorflow/python/keras/utils:generic_utils",
"//tensorflow/python/keras/utils:layer_utils",
"//tensorflow/python/keras/utils:tf_utils",
"//tensorflow/python/ops/ragged:ragged_tensor",
],
)
tf_py_test(
name = "advanced_activations_test",
size = "medium",
srcs = ["advanced_activations_test.py"],
python_version = "PY3",
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "tensorflow_op_layer_test",
size = "medium",
srcs = ["tensorflow_op_layer_test.py"],
python_version = "PY3",
shard_count = 3,
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/eager:backprop",
"//tensorflow/python/eager:context",
"//tensorflow/python/eager:def_function",
"//tensorflow/python/keras",
"//tensorflow/python/keras/saving",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "convolutional_recurrent_test",
size = "medium",
srcs = ["convolutional_recurrent_test.py"],
python_version = "PY3",
shard_count = 8,
tags = ["no_rocm"],
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
cuda_py_test(
name = "convolutional_test",
size = "medium",
srcs = ["convolutional_test.py"],
python_version = "PY3",
shard_count = 8,
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
cuda_py_test(
name = "convolutional_transpose_test",
size = "medium",
srcs = ["convolutional_transpose_test.py"],
python_version = "PY3",
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
cuda_py_test(
name = "cudnn_recurrent_test",
size = "medium",
srcs = ["cudnn_recurrent_test.py"],
python_version = "PY3",
shard_count = 4,
tags = [
"no_windows_gpu",
],
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "pooling_test",
size = "medium",
srcs = ["pooling_test.py"],
python_version = "PY3",
shard_count = 8,
# TODO(b/127881287): Re-enable.
tags = [
"no_windows_gpu",
],
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "core_test",
size = "medium",
srcs = ["core_test.py"],
python_version = "PY3",
shard_count = 3,
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "subclassed_layers_test",
size = "medium",
srcs = ["subclassed_layers_test.py"],
python_version = "PY3",
shard_count = 3,
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "dense_attention_test",
size = "medium",
srcs = ["dense_attention_test.py"],
python_version = "PY3",
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
cuda_py_test(
name = "embeddings_test",
size = "medium",
srcs = ["embeddings_test.py"],
python_version = "PY3",
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python:dtypes",
"//tensorflow/python:framework_test_lib",
"//tensorflow/python:training_lib",
"//tensorflow/python:variables",
"//tensorflow/python/eager:backprop",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"//tensorflow/python/keras:testing_utils",
"//tensorflow/python/ops/ragged:ragged_factory_ops",
],
)
tf_py_test(
name = "einsum_dense_test",
srcs = ["einsum_dense_test.py"],
python_version = "PY3",
deps = [
":einsum_dense",
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "local_test",
size = "medium",
srcs = ["local_test.py"],
python_version = "PY3",
shard_count = 4,
tags = ["no_windows"],
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "merge_test",
size = "medium",
srcs = ["merge_test.py"],
python_version = "PY3",
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "noise_test",
size = "small",
srcs = ["noise_test.py"],
python_version = "PY3",
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"@absl_py//absl/testing:parameterized",
],
)
cuda_py_test(
name = "normalization_test",
size = "medium",
srcs = ["normalization_test.py"],
python_version = "PY3",
shard_count = 4,
tags = [
"no_rocm",
"notsan",
],
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "simplernn_test",
size = "medium",
srcs = ["simplernn_test.py"],
python_version = "PY3",
shard_count = 4,
tags = ["notsan"],
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "gru_test",
size = "medium",
srcs = ["gru_test.py"],
python_version = "PY3",
shard_count = 4,
tags = [
"no_rocm",
"notsan", # http://b/62136390
],
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "lstm_test",
size = "medium",
srcs = ["lstm_test.py"],
python_version = "PY3",
shard_count = 4,
tags = [
"no_rocm",
"noasan", # times out b/63678675
"notsan", # http://b/62189182
],
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "recurrent_test",
size = "medium",
srcs = ["recurrent_test.py"],
python_version = "PY3",
shard_count = 12,
tags = ["no_rocm"],
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
cuda_py_test(
name = "recurrent_v2_test",
size = "medium",
srcs = ["recurrent_v2_test.py"],
python_version = "PY3",
shard_count = 2,
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
cuda_py_test(
name = "separable_convolutional_test",
size = "medium",
srcs = ["separable_convolutional_test.py"],
python_version = "PY3",
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
cuda_py_test(
name = "lstm_v2_test",
size = "medium",
srcs = ["lstm_v2_test.py"],
python_version = "PY3",
shard_count = 12,
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
cuda_py_test(
name = "gru_v2_test",
size = "medium",
srcs = ["gru_v2_test.py"],
python_version = "PY3",
shard_count = 12,
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "serialization_test",
size = "small",
srcs = ["serialization_test.py"],
python_version = "PY3",
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "kernelized_test",
size = "small",
srcs = ["kernelized_test.py"],
python_version = "PY3",
deps = [
":layers",
"//tensorflow/python:array_ops",
"//tensorflow/python:client_testlib",
"//tensorflow/python:constant_op",
"//tensorflow/python:dtypes",
"//tensorflow/python:framework_ops",
"//tensorflow/python:framework_test_lib",
"//tensorflow/python:init_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:random_ops",
"//tensorflow/python:random_seed",
"//tensorflow/python:tensor_shape",
"//tensorflow/python/eager:context",
"//tensorflow/python/keras",
"//tensorflow/python/keras:backend",
"//tensorflow/python/keras:combinations",
"//tensorflow/python/keras:initializers",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "wrappers_test",
size = "medium",
srcs = ["wrappers_test.py"],
python_version = "PY3",
shard_count = 12,
tags = [
"noasan", # http://b/78599823
"notsan",
],
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"//tensorflow/python/ops/ragged:ragged_concat_ops",
"//tensorflow/python/ops/ragged:ragged_factory_ops",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "rnn_cell_wrapper_v2_test",
size = "medium",
srcs = ["rnn_cell_wrapper_v2_test.py"],
python_version = "PY3",
shard_count = 4,
tags = [
"notsan",
],
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python/keras",
"//tensorflow/python/keras:combinations",
"//third_party/py/numpy",
"@absl_py//absl/testing:parameterized",
],
)
tf_py_test(
name = "layers_test",
size = "small",
srcs = ["layers_test.py"],
python_version = "PY3",
deps = [
":layers",
"//tensorflow/python:client_testlib",
"//tensorflow/python:tf2",
],
)