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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) -
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;
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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.
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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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ci/official/utilities/code_check_full.bats
setup_file() { 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/tape.h
// Builds a tensor filled with ones with the same shape and dtype as `t`. virtual Status BuildOnesLike(const TapeTensor& t, Gradient** result) const = 0; // Looks up the ID of a Gradient. virtual int64_t TensorId(Gradient* tensor) const = 0; // Converts a Gradient to a TapeTensor. virtual TapeTensor TapeTensorFromGradient(Gradient* gradient) const = 0;
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ci/official/any.sh
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