db992d30bb
TPU code pulls in tensorflow.python.tpu.tpu which pulls a large number of dependencies. It's easy to create cyclic dependencies. PiperOrigin-RevId: 297060171 Change-Id: I8e09e7b8de9fc50e892502a480de8fffa378a1c5
35 lines
848 B
Python
35 lines
848 B
Python
load("//tensorflow:tensorflow.bzl", "tf_py_test")
|
|
|
|
package(
|
|
default_visibility = ["//tensorflow:internal"],
|
|
licenses = ["notice"], # Apache 2.0
|
|
)
|
|
|
|
exports_files(["LICENSE"])
|
|
|
|
py_library(
|
|
name = "module",
|
|
srcs = ["module.py"],
|
|
deps = [
|
|
"//tensorflow/python:framework_ops",
|
|
"//tensorflow/python:tf2",
|
|
"//tensorflow/python:util",
|
|
"//tensorflow/python:variables",
|
|
"//tensorflow/python/training/tracking",
|
|
"@six_archive//:six",
|
|
],
|
|
)
|
|
|
|
tf_py_test(
|
|
name = "module_test",
|
|
srcs = ["module_test.py"],
|
|
deps = [
|
|
":module",
|
|
"//tensorflow/python:client_testlib",
|
|
"//tensorflow/python:variables",
|
|
"//tensorflow/python/compat:v2_compat",
|
|
"//tensorflow/python/distribute:tpu_values",
|
|
"@absl_py//absl/testing:parameterized",
|
|
],
|
|
)
|