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CONTRIBUTING.md
[guidelines](#general-guidelines-and-philosophy-for-contribution). - 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/eager/tape.h
// // First we filter the tape to just the subset of operations we want to // differentiate. In the process of doing so we count how many times each Tensor // is used as an input to an op (so we know when we're done computing gradients // for that Tensor). We also count, for each tape entry, how many of its output // Tensors need gradients to be computed (Tensors which are not used do not need // any gradients to be computed). //
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tensorflow/c/eager/c_api_distributed_test.cc
TFE_DeleteExecutor(executor); TFE_ContextRemoveFunction(ctx, "AddVariablesFunction", status); TFE_DeleteContext(ctx); TF_DeleteStatus(status); // TODO(b/136478427): Figure out how to correctly shut the server down. worker_server1.release(); worker_server2.release(); } TEST(CAPI, TestLocalFunctionWithPackedInput) { TestFunctionWithPackedInput(/*remote=*/false); }
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