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BUILD
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# Description:
# Example TensorFlow models for MNIST used in tutorials
licenses(["notice"]) # Apache 2.0
exports_files(["LICENSE"])
py_library(
name = "package",
srcs = [
"__init__.py",
],
srcs_version = "PY2AND3",
visibility = ["//tensorflow:__subpackages__"],
deps = [
":input_data",
":mnist",
],
)
py_library(
name = "input_data",
srcs = ["input_data.py"],
srcs_version = "PY2AND3",
visibility = ["//tensorflow:internal"],
deps = ["//tensorflow:tensorflow_py"],
)
py_library(
name = "mnist",
srcs = [
"mnist.py",
],
srcs_version = "PY2AND3",
visibility = ["//tensorflow:__subpackages__"],
deps = [
"//tensorflow:tensorflow_py",
],
)
py_binary(
name = "fully_connected_feed",
srcs = [
"fully_connected_feed.py",
],
srcs_version = "PY2AND3",
deps = [
":input_data",
":mnist",
"//tensorflow:tensorflow_py",
],
)
py_binary(
name = "mnist_with_summaries",
srcs = [
"mnist_with_summaries.py",
],
srcs_version = "PY2AND3",
deps = [
":input_data",
"//tensorflow:tensorflow_py",
],
)
py_test(
name = "fully_connected_feed_test",
size = "small",
srcs = [
"fully_connected_feed.py",
],
args = [
"--fake_data",
"--max_steps=10",
"--train_dir=/tmp/mnist",
],
main = "fully_connected_feed.py",
srcs_version = "PY2AND3",
deps = [
":input_data",
":mnist",
"//tensorflow:tensorflow_py",
],
)
py_test(
name = "mnist_with_summaries_test",
size = "small",
srcs = [
"mnist_with_summaries.py",
],
args = [
"--fake_data",
"--max_steps=10",
"--learning_rate=0.00",
],
main = "mnist_with_summaries.py",
srcs_version = "PY2AND3",
deps = [
":input_data",
"//tensorflow:tensorflow_py",
],
)
filegroup(
name = "all_files",
srcs = glob(
["**/*"],
exclude = [
"**/METADATA",
"**/OWNERS",
],
),
visibility = ["//tensorflow:__subpackages__"],
)