OSSForks/tensorflow
1
0
Fork 0
mirror of https://github.com/zebrajr/tensorflow.git synced 2025-12-06 12:20:11 +01:00
Code Issues Actions 5 Packages Projects Releases Wiki Activity

Merge pull request #52546 from bhack:patch-19

Browse Source 
PiperOrigin-RevId: 404902493
Change-Id: I19ac0d99c513cd90582d7d5322b3e3bd0370394d
This commit is contained in:
TensorFlower Gardener 2021-10-21 16:13:49 -07:00
commit 459af37781
2 changed files with 15 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

18
CONTRIBUTING.md
View File

@ -185,6 +185,10 @@ There are two ways to run TensorFlow unit tests.
Once you have the packages installed, you can run a specific unit test in
bazel by doing as follows:
```bash
export flags="--config=opt -k"
```
If the tests are to be run on GPU, add CUDA paths to LD_LIBRARY_PATH and add
the `cuda` option flag
@ -212,15 +216,15 @@ There are two ways to run TensorFlow unit tests.
(Requires `python>=3.7`)
```bash
bazel test //tensorflow/python/saved_model:load_test --test_arg=-- --test_arg=-k=*LoadTest.test_capture_variables*
bazel test ${flags} //tensorflow/python/saved_model:load_test --test_filter=*LoadTest.test_capture_variables*
```
**Note:** You can add `--test_sharding_strategy=disabled` to disables the
sharding so that all the test outputs are in one file. However, it may slow
down the tests for not running in parallel and may cause the test to timeout
but it could be useful when you need to execute a single test or more in
general your filtered/selected tests have a very low execution time and the
sharding
**Note:** You can add `--test_sharding_strategy=disabled` to the `flags` to
disable the sharding so that all the test outputs are in one file. However,
it may slow down the tests for not running in parallel and may cause the
test to timeout but it could be useful when you need to execute a single
test or more in general your filtered/selected tests have a very low
execution time and the sharding
[could create an overhead on the test esecution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).
2. Using [Docker](https://www.docker.com) and TensorFlow's CI scripts.

8
tensorflow/workspace2.bzl
View File

@ -497,8 +497,8 @@ def _tf_repositories():
tf_http_archive(
name = "absl_py",
sha256 = "0d37dc61cf29b04e42ed13b5fe3f578c05a1d07c75e5d7df826f0c2dc8dd2f53",
strip_prefix = "abseil-py-pypi-v0.14.1",
sha256 = "0be59b82d65dfa1f995365dcfea2cc57989297b065fda696ef13f30fcc6c8e5b",
strip_prefix = "abseil-py-pypi-v0.15.0",
system_build_file = "//third_party/systemlibs:absl_py.BUILD",
system_link_files = {
"//third_party/systemlibs:absl_py.absl.BUILD": "absl/BUILD",
@ -507,8 +507,8 @@ def _tf_repositories():
"//third_party/systemlibs:absl_py.absl.logging.BUILD": "absl/logging/BUILD",
},
urls = [
"https://storage.googleapis.com/mirror.tensorflow.org/github.com/abseil/abseil-py/archive/pypi-v0.14.1.tar.gz",
"https://github.com/abseil/abseil-py/archive/pypi-v0.14.1.tar.gz",
"https://storage.googleapis.com/mirror.tensorflow.org/github.com/abseil/abseil-py/archive/pypi-v0.15.0.tar.gz",
"https://github.com/abseil/abseil-py/archive/pypi-v0.15.0.tar.gz",
],
)