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load("//tensorflow:tensorflow.bzl", "py_test")
package(
default_visibility = ["//tensorflow:internal"],
)
licenses(["notice"]) # Apache 2.0
exports_files(["LICENSE"])
py_binary(
name = "predict",
srcs = ["predict.py"],
srcs_version = "PY2AND3",
tags = ["no_pip"],
deps = [
"//tensorflow:tensorflow_py",
"//third_party/py/numpy",
],
)
py_test(
name = "predict_test",
timeout = "long", # Moderate but for asan
srcs = ["predict_test.py"],
data = ["data/period_trend.csv"],
srcs_version = "PY2AND3",
tags = [
"no_windows", # TODO: needs investigation on Windows
"notsan", # b/67513579
],
deps = [
":predict",
"//tensorflow/python:client_testlib",
],
)
py_binary(
name = "known_anomaly",
srcs = ["known_anomaly.py"],
data = ["data/changepoints.csv"],
srcs_version = "PY2AND3",
tags = ["no_pip"],
deps = [
"//tensorflow:tensorflow_py",
"//third_party/py/numpy",
],
)
py_test(
name = "known_anomaly_test",
timeout = "long", # Moderate but for asan
srcs = ["known_anomaly_test.py"],
srcs_version = "PY2AND3",
deps = [
":known_anomaly",
"//tensorflow/python:client_testlib",
],
)
py_binary(
name = "multivariate",
srcs = ["multivariate.py"],
data = ["data/multivariate_level.csv"],
srcs_version = "PY2AND3",
tags = ["no_pip"],
deps = [
"//tensorflow:tensorflow_py",
"//third_party/py/numpy",
],
)
py_test(
name = "multivariate_test",
timeout = "long", # Moderate but for asan
srcs = [
"multivariate_test.py",
],
srcs_version = "PY2AND3",
deps = [
":multivariate",
"//tensorflow/python:client_testlib",
],
)
py_binary(
name = "lstm",
srcs = ["lstm.py"],
data = ["data/multivariate_periods.csv"],
srcs_version = "PY2AND3",
tags = ["no_pip"],
deps = [
"//tensorflow:tensorflow_py",
"//tensorflow/contrib/timeseries/python/timeseries:estimators",
"//tensorflow/contrib/timeseries/python/timeseries:model",
"//third_party/py/numpy",
],
)
py_test(
name = "lstm_test",
timeout = "long", # Moderate but for asan
srcs = ["lstm_test.py"],
srcs_version = "PY2AND3",
tags = ["notsan"],
deps = [
":lstm",
"//tensorflow/python:client_testlib",
"//tensorflow/python/estimator:estimator_py",
],
)
filegroup(
name = "all_files",
srcs = glob(
["**/*"],
exclude = [
"**/METADATA",
"**/OWNERS",
],
),
visibility = ["//tensorflow:__subpackages__"],
)
|
