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CONTRIBUTING.md
- If a change is needed, the contributor is requested to make the suggested change. - You make the change and submit it for the review again. - This cycle repeats itself until the PR gets approved. - Note: As a friendly reminder, we may reach out to you if the PR is awaiting your response for more than 2 weeks. **4. Approved** - Once the PR is approved, it gets `kokoro:force-run` label applied and it
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ci/official/wheel.sh
tfrun find ./bazel-bin/tensorflow/tools/pip_package -iname "*.whl" -exec cp {} $TFCI_OUTPUT_DIR \; tfrun ./ci/official/utilities/rename_and_verify_wheels.sh if [[ "$TFCI_ARTIFACT_STAGING_GCS_ENABLE" == 1 ]]; then # Note: -n disables overwriting previously created files. gsutil cp -n "$TFCI_OUTPUT_DIR"/*.whl "$TFCI_ARTIFACT_STAGING_GCS_URI" fi if [[ "$TFCI_WHL_BAZEL_TEST_ENABLE" == 1 ]]; then
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 06 21:54:13 GMT 2024 - 1.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// policy is applied to any subsequent op executions. TF_CAPI_EXPORT void TFE_ContextSetSoftDevicePlacement(TFE_Context* ctx, unsigned char enable, TF_Status* status); // Configure device placement policy logging for the eager executor. Note this
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tensorflow/api_template.__init__.py
The primary function of this module is to import all of the public TensorFlow interfaces into a single place. The interfaces themselves are located in sub-modules, as described below. Note that the file `__init__.py` in the TensorFlow source code tree is actually only a placeholder to enable test cases to run. The TensorFlow build replaces
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
.github/workflows/update-rbe.yml
# returned by the API, but a sha256sum of the entire chunk of image # metadata. gcr.io helpfully includes it in the header of the response # as docker-content-digest: sha256:[digest]. Note we use egrep to # match exactly sha256:<hash> because curl may include a ^M symbol at # the end of the line.
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configure.py
'errors.\n' % (android_ndk_home_path, ndk_version, _SUPPORTED_ANDROID_NDK_VERSIONS)) write_action_env_to_bazelrc('ANDROID_NDK_VERSION', ndk_version) # Now grab the NDK API level to use. Note that this is different from the # SDK API level, as the NDK API level is effectively the *min* target SDK # version. meta = open(os.path.join(android_ndk_home_path, 'meta/platforms.json')) platforms = json.load(meta)
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.bazelrc
build:monolithic --define framework_shared_object=false build:monolithic --define tsl_protobuf_header_only=false build:monolithic --experimental_link_static_libraries_once=false # b/229868128 # Please note that MKL on MacOS is still not supported. # If you would like to use a local MKL instead of downloading, please set the # environment variable "TF_MKL_ROOT" every time before build.
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RELEASE.md
small functions. * Note a [known issue](https://github.com/tensorflow/tensorflow/issues/55414) with GPU performance. * The behavior of `tf.function` itself is unaffected. * Note: This feature will be enabled by default in an upcoming version of TensorFlow.
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ci/official/envs/ci_default
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Note: this file gets sourced in utilities/setup.sh, which has "set -u" # (error on undefined variables). This ensures that (a) every TFCI variable # has an explicit default value, and (b) no script can accidentally use a
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tensorflow/c/c_api.cc
status->status = session->session->Extend(std::move(graph_def)); if (!status->status.ok()) { // Contract is we always delete input_values[i]. return false; } // Note: session->session is not modified if Extend() fails, so // we only set last_num_graph_nodes if it succeeds. session->last_num_graph_nodes = num_nodes; } else { session->graph->mu.unlock(); }
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