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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
test:nonpip_filters --build_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:nonpip_filters --test_lang_filters=py --flaky_test_attempts=3 --test_size_filters=small,medium test:nonpip --config=nonpip_filters -- //tensorflow/... -//tensorflow/python/integration_testing/... -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/...
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CODE_OF_CONDUCT.md
The Code of Conduct also applies within project spaces and in public spaces whenever an individual is representing TensorFlow or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed or de facto representative at an online or offline event. ## Conflict Resolution
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tensorflow/c/experimental/filesystem/BUILD
"//tensorflow/core/platform:status", "@local_tsl//tsl/platform:errors", ], ) # Compliance test for modules and for interface tf_cc_test( name = "modular_filesystem_test", size = "small", srcs = ["modular_filesystem_test.cc"], linkopts = ["-ldl"], tags = [ "manual", # Requires DSOs as arguments, eventual setup
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.github/workflows/release-branch-cherrypick.yml
- name: Get some helpful info for formatting id: cherrypick run: | git config --global user.name "TensorFlow Release Automation" git config --global user.email "******@****.***" git fetch origin master git cherry-pick ${{ github.event.inputs.git_commit }} echo "SHORTSHA=$(git log -1 ${{ github.event.inputs.git_commit }} --format="%h")" >> "$GITHUB_OUTPUT"
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tensorflow/c/experimental/grappler/grappler.h
// least `storage_size` bytes in length. `num_values` and `storage` can be // obtained from TF_GetNodesToPreserveSize // // Fails if storage_size is too small to hold the requested number of strings. TF_CAPI_EXPORT extern void TF_GetNodesToPreserveList( const TF_GrapplerItem* item, char** values, size_t* lengths, int num_values,
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
test:nonpip_filters --build_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:nonpip_filters --test_lang_filters=py --flaky_test_attempts=3 --test_size_filters=small,medium test:nonpip --config=nonpip_filters -- //tensorflow/... -//tensorflow/python/integration_testing/... -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/...
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ISSUES.md
If you open a GitHub Issue, here is our policy: 1. It must be a bug/performance issue or a feature request or a build issue or a documentation issue (for small doc fixes please send a PR instead). 1. Make sure the Issue Template is filled out. 1. The issue should be related to the repo it is created in. **Here's why we have this policy:** We want to focus on the work that benefits the whole community, e.g., fixing bugs and adding features. Individual support
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tensorflow/c/c_api_test.cc
TestEncodeDecode(__LINE__, {"hello"}); TestEncodeDecode(__LINE__, {"the", "quick", "brown", "fox", "jumped", "over"}); string big(1000, 'a'); TestEncodeDecode(__LINE__, {"small", big, "small2"}); } TEST(CAPI, SessionOptions) { TF_SessionOptions* opt = TF_NewSessionOptions(); TF_DeleteSessionOptions(opt); } TEST(CAPI, DeprecatedSession) { TF_Status* s = TF_NewStatus();
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tensorflow/c/eager/c_api_test.cc
// Add a config_proto attr, to trigger grappler graph rewrites in the current // eager runtime. if (enable_grappler) { tensorflow::ConfigProto config; // Do not skip grappler optimization even for small graphs. config.mutable_graph_options() ->mutable_rewrite_options() ->set_min_graph_nodes(-1); string serialized_config; ASSERT_TRUE(config.SerializeToString(&serialized_config));
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tensorflow/c/eager/parallel_device/parallel_device.cc
std::move(maybe_typed_outputs.value())); if (typed_outputs.size() > *num_outputs) { TF_SetStatus(status, TF_INTERNAL, "The allocated output buffer was too small."); return; } for (int i = 0; i < typed_outputs.size(); ++i) { MaybeParallelTensorOwned typed_output(std::move(typed_outputs[i])); if (absl::holds_alternative<TensorHandlePtr>(typed_output)) {
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