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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 // | |
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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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ci/official/any.sh
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 01 03:21:19 GMT 2024 - 2.1K bytes - Viewed (1) -
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;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
.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 Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
.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
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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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