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ci/official/envs/nightly_upload
TFCI_ARTIFACT_LATEST_GCS_URI="gs://tensorflow/nightly/latest/" TFCI_ARTIFACT_STAGING_GCS_ENABLE=1 TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-artifact-staging/staging/nightly/$(git rev-parse HEAD)/" # 2. The internal version numbers get changed TFCI_NIGHTLY_UPDATE_VERSION_ENABLE=1 # 3. Push results to public build cache (unique cache for MacOS) if [[ $(uname -s) == "Darwin" ]]; then
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tensorflow/c/c_api_test.cc
num_dims = TF_GraphGetTensorNumDims(graph, feed_out_0, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ(-1, num_dims); // Set the shape to be unknown, expect no change. TF_GraphSetTensorShape(graph, feed_out_0, /*dims=*/nullptr, -1, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); num_dims = TF_GraphGetTensorNumDims(graph, feed_out_0, s);
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RELEASE.md
# Release 2.17.0 ## TensorFlow <INSERT SMALL BLURB ABOUT RELEASE FOCUS AREA AND POTENTIAL TOOLCHAIN CHANGES> ### Breaking Changes * <DOCUMENT BREAKING CHANGES HERE> * <THIS SECTION SHOULD CONTAIN API, ABI AND BEHAVIORAL BREAKING CHANGES> ### Known Caveats * <CAVEATS REGARDING THE RELEASE (BUT NOT BREAKING CHANGES).> * <ADDING/BUMPING DEPENDENCIES SHOULD GO HERE> * <KNOWN LACK OF SUPPORT ON SOME PLATFORM, SHOULD GO HERE>
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tensorflow/c/c_api.cc
// TODO(josh11b,mrry): Change Session to be able to use a Graph* // directly, instead of requiring us to serialize to a GraphDef and // call Session::Extend(). bool ExtendSessionGraphHelper(TF_Session* session, TF_Status* status) { if (session->graph != nullptr) { // Take the graph lock before the session lock to avoid deadlock. This is // safe since session->graph does not change. session->graph->mu.lock();
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
if (!gcs_file->file_block_cache->ValidateAndUpdateFileSignature( path, stat.generation_number)) { TF_VLog( 1, "File signature has been changed. Refreshing the cache. Path: %s", path.c_str()); } read = gcs_file->file_block_cache->Read(path, offset, n, buffer, status); } else {
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CONTRIBUTING.md
changes to be made to PR to pass quality checks and send it back or on a rare occasion we may reject it. **3. Review** - For a valid PR, reviewer (person familiar with the code/functionality) checks if the PR looks good or needs additional changes. - If all looks good, the reviewer will approve the PR. - If a change is needed, the contributor is requested to make the suggested
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ci/official/debug_tfci.sh
# limitations under the License. # ============================================================================== # This script dumps some information about the environment. It's most useful # for verifying changes to the TFCI scripts system, and most users won't need # to interact with it at all. source "${BASH_SOURCE%/*}/utilities/setup.sh" echo "==TFCI== env outside of tfrun:" env echo "==TFCI== env inside of tfrun:"
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Nov 01 19:54:25 GMT 2023 - 1022 bytes - Viewed (0) -
ci/official/envs/linux_arm64
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_arm64_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64 # Note: this is not set to "--cpu", because that changes the package name # to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1
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ci/official/requirements_updater/updater.sh
# limitations under the License. # ============================================================================== # script to run pip-compile for each requirement. # if there is a change in requirements.in then all lock files will be updated # accordingly # All commands run relative to this directory cd "$(dirname "${BASH_SOURCE[0]}")" mv BUILD.bazel BUILD
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:05:45 GMT 2024 - 1.3K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// Maps from op ID to how many output tensors of this op still need to have // their gradients computed. std::unordered_map<int64_t, int64_t> op_missing_tensor; }; // If `persistent_tape` is true, op_tape is not changed and none of the // backwards functions are deleted. // If `persistent_tape` is false, op_tape is cleared and backwards functions // not needed for gradient computation are deleted. Backwards functions that
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