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tensorflow/c/eager/c_api_unified_experimental_test.cc
TF_AbstractFunction* func = TF_FinalizeFunction(graph_ctx, add_outputs, status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); // Note: TF_OutputList does not own the underlying AbstractTensors, those // need to be deleted explicitly. TF_DeleteAbstractTensor(TF_OutputListGet(add_outputs, 0)); // Build eager context. TFE_ContextOptions* opts = TFE_NewContextOptions();
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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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ci/official/containers/linux_arm64/devel.usertools/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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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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tensorflow/c/eager/parallel_device/parallel_device.cc
using MaybeParallelTensorOwned = absl::variant<std::unique_ptr<ParallelTensor>, TensorHandlePtr>; using MaybeParallelTensorUnowned = absl::variant<ParallelTensor*, TFE_TensorHandle*>; // A ParallelDevice on its own is not registered with a TFE_Context, and so has // no device name (e.g. for `tf.device`). `NamedParallelDevice` associates a // name with it, which lets us pack its `ParallelTensor`s into TFE_TensorHandles
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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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