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# Description:
# Example TensorFlow models for MNIST used in tutorials
licenses(["notice"]) # Apache 2.0
exports_files(["LICENSE"])
load("//tensorflow:tensorflow.bzl", "py_test")
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 = ["//visibility:public"],
deps = [
"//tensorflow:tensorflow_py",
"//tensorflow/contrib/learn/python/learn/datasets",
"//third_party/py/numpy",
"@six_archive//:six",
],
)
py_library(
name = "mnist",
srcs = [
"mnist.py",
],
srcs_version = "PY2AND3",
visibility = ["//visibility:public"],
deps = [
"//tensorflow:tensorflow_py",
],
)
py_binary(
name = "fully_connected_feed",
srcs = [
"fully_connected_feed.py",
],
srcs_version = "PY2AND3",
tags = ["optonly"],
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_binary(
name = "mnist_softmax",
srcs = [
"mnist_softmax.py",
],
srcs_version = "PY2AND3",
deps = [
":input_data",
"//tensorflow:tensorflow_py",
],
)
py_binary(
name = "mnist_deep",
srcs = [
"mnist_deep.py",
],
srcs_version = "PY2AND3",
deps = [
":input_data",
"//tensorflow:tensorflow_py",
],
)
py_test(
name = "fully_connected_feed_test",
size = "medium",
srcs = [
"fully_connected_feed.py",
],
args = [
"--fake_data",
"--max_steps=10",
],
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",
tags = ["notsan"], # http://b/29184009
deps = [
":input_data",
"//tensorflow:tensorflow_py",
],
)
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