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tensorflow/c/c_api_test.cc
EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_); } void BuildExpectedGraph(bool grad_inputs_provided, TF_Output* expected_grad_outputs) { // The expected graph looks like this if grad_inputs_provided. // If grad_inputs_provided is false, Const_0 will be a OnesLike op. // ^ ^ // dy| dx| // MatMul Gradient Graph // | |
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
.github/bot_config.yml
# words checklist segfault_memory: - segfault - memory leaks # assignees filesystem_security_assignee: - mihaimaruseac # Cuda Comment cuda_comment: > From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries: * For TF-GPU - See point 1 * For TF-CPU - See point 2 -----------------------------------------------------------------------------------------------
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
tensorflow/api_template.__init__.py
_current_module = _sys.modules[__name__] if not hasattr(_current_module, "__path__"): __path__ = [_tf_api_dir] elif _tf_api_dir not in __path__: __path__.append(_tf_api_dir) # Hook external TensorFlow modules. # Load tensorflow-io-gcs-filesystem if enabled if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
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/release-branch-cherrypick.yml
# will be created. name: Release Branch Cherrypick on: workflow_dispatch: inputs: # We use this instead of the "run on branch" argument because GitHub looks # on that branch for a workflow.yml file, and we'd have to cherry-pick # this file into those branches. release_branch: description: 'Release branch name (e.g. r2.9)' required: true
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Sep 12 14:49:29 GMT 2023 - 3.1K bytes - Viewed (0) -
CONTRIBUTING.md
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 change. - You make the change and submit it for the review again.
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
bazel version # Start the bazel server } # Do a bazel query specifically for the licenses checker. It searches for # targets matching the provided query, which start with // or @ but not # //tensorflow (so it looks for //third_party, //external, etc.), and then # gathers the list of all packages (i.e. directories) which contain those # targets. license_query() { bazel cquery --experimental_cc_shared_library "$1" --keep_going \
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tensorflow/c/eager/gradients.cc
// Builds a tensor filled with ones with the same shape and dtype as `t`. Status BuildOnesLike(const TapeTensor& t, AbstractTensorHandle** result) const override; // Looks up the ID of a Gradient. int64_t TensorId(AbstractTensorHandle* tensor) const override; // Converts a Gradient to a TapeTensor. TapeTensor TapeTensorFromGradient(AbstractTensorHandle* g) const override;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/api_template_v1.__init__.py
_tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__)) if not hasattr(_current_module, "__path__"): __path__ = [_tf_api_dir] elif _tf_api_dir not in __path__: __path__.append(_tf_api_dir) # Hook external TensorFlow modules. # Import compat before trying to import summary from tensorboard, so that # reexport_tf_summary can get compat from sys.modules. Only needed if using # lazy loading.
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
RELEASE.md
* `tf.contrib.estimator.InMemoryEvaluatorHook` and tf.estimator.experimental.InMemoryEvaluatorHook`. * `tf.contrib.estimator.make_stop_at_checkpoint_step_hook` with `tf.estimator.experimental.make_stop_at_checkpoint_step_hook`. * Expose `tf.distribute.Strategy as the new name for tf.contrib.distribute.DistributionStrategy. * Migrate linear optimizer from contrib to core.
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tensorflow/c/eager/c_api.cc
tensorflow::unwrap(ctx)->SetThreadLocalDevicePlacementPolicy( static_cast<tensorflow::ContextDevicePlacementPolicy>(policy)); } // Note: this function looks up a thread local policy. So it should be called in // the appropriate client thread. In particular, in async mode, it may not be // safe to call this function from the async EagerExecutor threads.
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