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|
# Description:
# contains parts of TensorFlow that are experimental or unstable and which are not supported.
licenses(["notice"]) # Apache 2.0
exports_files(["LICENSE"])
package(default_visibility = [
"//tensorflow:internal",
])
load("//tensorflow/core:platform/default/build_config.bzl", "tf_proto_library")
load("//tensorflow:tensorflow.bzl", "py_test")
py_library(
name = "training_py",
srcs = [
"__init__.py",
"python/__init__.py",
"python/training/__init__.py",
"python/training/bucket_ops.py",
"python/training/device_setter.py",
"python/training/evaluation.py",
"python/training/feeding_queue_runner.py",
"python/training/hparam.py",
"python/training/resample.py",
"python/training/sampling_ops.py",
"python/training/sequence_queueing_state_saver.py",
"python/training/tensor_queue_dataset.py",
"python/training/training.py",
"python/training/tuner.py",
],
srcs_version = "PY2AND3",
visibility = ["//visibility:public"],
deps = [
":protos_all_py",
"//tensorflow/contrib/framework:framework_py",
"//tensorflow/python:array_ops",
"//tensorflow/python:check_ops",
"//tensorflow/python:clip_ops",
"//tensorflow/python:control_flow_ops",
"//tensorflow/python:data_flow_ops",
"//tensorflow/python:errors",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:layers_base",
"//tensorflow/python:logging_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:parsing_ops",
"//tensorflow/python:platform",
"//tensorflow/python:random_ops",
"//tensorflow/python:script_ops",
"//tensorflow/python:sparse_ops",
"//tensorflow/python:sparse_tensor",
"//tensorflow/python:state_ops",
"//tensorflow/python:string_ops",
"//tensorflow/python:summary",
"//tensorflow/python:tensor_array_ops",
"//tensorflow/python:tensor_util",
"//tensorflow/python:training",
"//tensorflow/python:util",
"//tensorflow/python:variable_scope",
"//tensorflow/python:variables",
"//tensorflow/python/data",
"//tensorflow/python/estimator:inputs_queues",
"//third_party/py/numpy",
"@six_archive//:six",
],
)
py_test(
name = "device_setter_test",
size = "small",
srcs = ["python/training/device_setter_test.py"],
srcs_version = "PY2AND3",
deps = [
":training_py",
"//tensorflow/python:array_ops",
"//tensorflow/python:client_testlib",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:training",
"//tensorflow/python:variables",
],
)
py_test(
name = "sequence_queueing_state_saver_test",
size = "medium",
srcs = ["python/training/sequence_queueing_state_saver_test.py"],
srcs_version = "PY2AND3",
deps = [
":training_py",
"//tensorflow/python:array_ops",
"//tensorflow/python:client_testlib",
"//tensorflow/python:errors",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:math_ops",
"//tensorflow/python:random_ops",
"//tensorflow/python:string_ops",
"//third_party/py/numpy",
],
)
py_test(
name = "batch_sequences_with_states_test",
size = "medium",
srcs = ["python/training/batch_sequences_with_states_test.py"],
srcs_version = "PY2AND3",
tags = ["manual"],
deps = [
":training_py",
"//tensorflow/python:array_ops",
"//tensorflow/python:client_testlib",
"//tensorflow/python:errors",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:math_ops",
"//tensorflow/python:random_ops",
"//tensorflow/python:sparse_ops",
"//tensorflow/python:sparse_tensor",
"//tensorflow/python:string_ops",
"//tensorflow/python:training",
"//tensorflow/python:variables",
"//third_party/py/numpy",
],
)
py_test(
name = "feeding_queue_runner_test",
size = "medium",
srcs = ["python/training/feeding_queue_runner_test.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow/python:client_testlib",
"//tensorflow/python:framework_ops",
"//tensorflow/python:session",
"//tensorflow/python:training",
"//tensorflow/python/estimator:inputs_queues",
"//third_party/py/numpy",
],
)
py_test(
name = "hparam_test",
size = "small",
srcs = ["python/training/hparam_test.py"],
srcs_version = "PY2AND3",
deps = [
":training_py",
"//tensorflow/python:client_testlib",
],
)
py_test(
name = "resample_test",
size = "small",
srcs = ["python/training/resample_test.py"],
srcs_version = "PY2AND3",
deps = [
":training_py",
"//tensorflow/python:array_ops",
"//tensorflow/python:client_testlib",
"//tensorflow/python:control_flow_ops",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:math_ops",
"//tensorflow/python:variables",
"//third_party/py/numpy",
],
)
py_test(
name = "sampling_ops_test",
size = "small",
srcs = ["python/training/sampling_ops_test.py"],
srcs_version = "PY2AND3",
deps = [
":training_py",
"//tensorflow/python:array_ops",
"//tensorflow/python:client_testlib",
"//tensorflow/python:control_flow_ops",
"//tensorflow/python:errors",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:logging_ops",
"//tensorflow/python:math_ops",
"//tensorflow/python:platform",
"//tensorflow/python:random_ops",
"//tensorflow/python:random_seed",
"//tensorflow/python:training",
"//tensorflow/python:variables",
"//third_party/py/numpy",
],
)
py_test(
name = "sampling_ops_threading_test",
size = "small",
srcs = ["python/training/sampling_ops_threading_test.py"],
srcs_version = "PY2AND3",
tags = [
"manual",
"notsan",
],
deps = [
":training_py",
"//tensorflow/python:client_testlib",
"//tensorflow/python:data_flow_ops",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:math_ops",
"//tensorflow/python:random_ops",
"//tensorflow/python:random_seed",
"//tensorflow/python:training",
"//tensorflow/python:variables",
],
)
py_test(
name = "bucket_ops_test",
size = "medium",
srcs = ["python/training/bucket_ops_test.py"],
srcs_version = "PY2AND3",
tags = ["manual"],
deps = [
":training_py",
"//tensorflow/python:array_ops",
"//tensorflow/python:client_testlib",
"//tensorflow/python:control_flow_ops",
"//tensorflow/python:data_flow_ops",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:math_ops",
"//tensorflow/python:sparse_tensor",
"//tensorflow/python:training",
"//third_party/py/numpy",
],
)
py_test(
name = "evaluation_test",
size = "small",
srcs = ["python/training/evaluation_test.py"],
shard_count = 3,
srcs_version = "PY2AND3",
tags = [
"manual",
"notap", # Disabling until b/33000128 and b/33040312 are fixed.
],
deps = [
":training_py",
"//tensorflow/contrib/framework:framework_py",
"//tensorflow/contrib/layers:layers_py",
"//tensorflow/contrib/losses:losses_py",
"//tensorflow/contrib/metrics:metrics_py",
"//tensorflow/core:protos_all_py",
"//tensorflow/python:array_ops",
"//tensorflow/python:client_testlib",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:math_ops",
"//tensorflow/python:platform",
"//tensorflow/python:random_seed",
"//tensorflow/python:session",
"//tensorflow/python:state_ops",
"//tensorflow/python:summary",
"//tensorflow/python:training",
"//tensorflow/python:variables",
"//third_party/py/numpy",
],
)
py_test(
name = "training_test",
size = "large",
srcs = ["python/training/training_test.py"],
shard_count = 3,
srcs_version = "PY2AND3",
tags = ["notsan"],
deps = [
":training_py",
"//tensorflow/contrib/framework:framework_py",
"//tensorflow/contrib/layers:layers_py",
"//tensorflow/python:client_testlib",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:gradients",
"//tensorflow/python:math_ops",
"//tensorflow/python:platform",
"//tensorflow/python:random_seed",
"//tensorflow/python:training",
"//tensorflow/python:variables",
"//tensorflow/python/ops/losses",
"//third_party/py/numpy",
],
)
py_test(
name = "tensor_queue_dataset_test",
size = "large",
srcs = ["python/training/tensor_queue_dataset_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"],
deps = [
":training_py",
"//tensorflow/contrib/data/python/kernel_tests/serialization:dataset_serialization_test_base",
"//tensorflow/python:client_testlib",
"//tensorflow/python:framework_for_generated_wrappers",
"//tensorflow/python:gradients",
"//tensorflow/python:math_ops",
"//tensorflow/python:platform",
"//tensorflow/python:random_seed",
"//tensorflow/python:training",
"//tensorflow/python:variables",
"//tensorflow/python/data",
"//third_party/py/numpy",
],
)
tf_proto_library(
name = "protos_all",
srcs = glob(["**/*.proto"]),
cc_api_version = 2,
java_api_version = 2,
visibility = ["//visibility:public"],
)
|
