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CONTRIBUTING.md
- Changes are consistent with the [Coding Style](#c-coding-style). - Run the [unit tests](#running-unit-tests). ## How to become a contributor and submit your own code ![Screen Shot 2022-08-30 at 7 27 04 PM](https://user-images.githubusercontent.com/42785357/187579207-9924eb32-da31-47bb-99f9-d8bf1aa238ad.png) ### Typical Pull Request Workflow - **1. New PR**
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tensorflow/c/c_api_test.cc
&Deallocator, &deallocator_called); TF_Tensor* o = TF_TensorMaybeMove(t); ASSERT_TRUE(o == nullptr); // It is unsafe to move memory TF might not own. TF_DeleteTensor(t); EXPECT_TRUE(deallocator_called); } TEST(CAPI, LibraryLoadFunctions) { // TODO(b/73318067): Fix linking for the GPU test generated by the
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ci/official/utilities/code_check_full.bats
} # It's unclear why, but running this on //tensorflow/... is faster than running # only on affected targets, usually. There are targets in //tensorflow/lite that # don't pass --nobuild, so they're on their own. # # Although buildifier checks for formatting as well, "bazel build nobuild" # checks for cross-file issues like bad includes or missing BUILD definitions. #
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RELEASE.md
- It could also be a simple python or TF utility that you could easily copy over to your own codebase. In those case, just make it your own! - If you believe it should definitely be a public Keras API, please open a feature request in keras GitHub repo.
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tensorflow/c/eager/tape.h
// // Allows an accumulator which is currently processing an operation to // temporarily reset its state. Without pushing and popping, accumulators // ignore operations executed as a direct result of their own jvp // computations. void PushState() { call_state_.emplace(nullptr, false); } void PopState() { call_state_.pop(); } private: // Helper for Accumulate: uses a GradientTape to compute forward gradients
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.bazelrc
build:rbe_linux_cpu --repo_env=TF_PYTHON_CONFIG_REPO="@sigbuild-r2.17-clang_config_python" build:rbe_linux_cpu --python_path="/usr/bin/python3" # These you may need to change for your own GCP project. common:rbe_linux_cpu --remote_instance_name=projects/tensorflow-testing/instances/default_instance # TODO(kanglan): Remove it after toolchain update is complete. build:rbe_linux_cpu_old --config=rbe_linux
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