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tensorflow/c/eager/c_api_experimental.h
// // This call may not block for execution of ops enqueued concurrently with this // call. TF_CAPI_EXPORT extern void TFE_ExecutorWaitForAllPendingNodes( TFE_Executor*, TF_Status* status); // When an error happens, any pending operations are discarded, and newly issued // ops return an error. This call clears the error state and re-enables // execution of newly issued ops. //
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tensorflow/c/BUILD
":tf_tensor_hdrs", # TODO: Only include tf_tstring_hdrs. Don't expose the implementation of TF_TString to API # users. ":tf_tstring", "//tensorflow/core:protos_all_cc", ], ) tf_cuda_library( name = "c_api_internal", hdrs = [ "c_api.h", "c_api_internal.h", "c_api_macros.h", "tf_buffer.h",
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CONTRIBUTING.md
* As every PR requires several CPU/GPU hours of CI testing, we discourage submitting PRs to fix one typo, one warning,etc. We recommend fixing the same issue at the file level at least (e.g.: fix all typos in a file, fix all compiler warnings in a file, etc.) * Tests should follow the [testing best practices](https://www.tensorflow.org/community/contribute/tests) guide. #### License
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tensorflow/c/eager/BUILD
"//tensorflow/core:lib", "//tensorflow/core:protos_all_cc", ], ) cc_library( name = "abstract_op_attrs", hdrs = ["abstract_op_attrs.h"], visibility = [ "//tensorflow:internal", ], deps = [ "//tensorflow/core:lib", "//tensorflow/core:protos_all_cc", "@com_google_absl//absl/container:inlined_vector", ], )
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tensorflow/c/eager/c_api.cc
} // 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. extern TFE_ContextDevicePlacementPolicy TFE_ContextGetDevicePlacementPolicy( TFE_Context* ctx) { return static_cast<TFE_ContextDevicePlacementPolicy>(
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tensorflow/c/eager/c_api_experimental.cc
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
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tensorflow/c/experimental/gradients/math_grad.cc
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
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tensorflow/c/eager/c_api_unified_experimental_graph.cc
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
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tensorflow/c/eager/c_api_test_util.cc
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
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tensorflow/c/eager/tape.h
new GradientTape<Gradient, BackwardFunction, TapeTensor>(false)); AccumulatorCallState& call_state = call_state_.top(); call_state.backward_tape = tape.get(); auto pop_backward_tape = gtl::MakeCleanup([&call_state] { call_state.backward_tape = nullptr; }); std::vector<Gradient*> forwardprop_aids; std::vector<int64_t> sources; std::unordered_set<int64_t> sources_set;
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