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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) -
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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.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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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/BUILD
# "-Wl,--undefined-version", # copybara:uncomment_end(google-only) ], }), linkstatic = 1, per_os_targets = True, roots = [ "//tensorflow/c/experimental/filesystem:filesystem_interface", "//tensorflow/c/experimental/stream_executor:stream_executor", "//tensorflow/c:env",
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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.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/c_api_function_test.cc
// - input name (as it appears in FunctionDef) // - name of output tensor (in nested "add:z:0" format) // dst is either: // - output name (as it appears in FunctionDef) // - <name_of_node>:<index_of_this_input_into_node> (this looks the same as // output tensor naming, but it the index is actually an input index) struct EdgeSpec : public std::pair<string, string> { typedef std::pair<string, string> Base; // Inherit the set of constructors
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RELEASE.md
for more details. * Usability improvement: The frequently used tensor filter `has_inf_or_nan` is now added to `Session` wrappers and hooks by default. So there is no need for clients to call `.add_tensor_filter(tf_debug.has_inf_or_nan)` anymore. * SinhArcsinh (scalar) distribution added to `contrib.distributions`.
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