fbb7dab9fd
Additionally, "common" bits of the XLA compiler are now linked in by default, so we don't even need the build option to check for linkage. PiperOrigin-RevId: 328776929 Change-Id: Ie59796a8c0f0bb400b38397b49853ed23912bdaf
88 lines
2.5 KiB
C++
88 lines
2.5 KiB
C++
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <vector>
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#include "tensorflow/c/c_api.h"
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#include "tensorflow/c/eager/c_api.h"
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#include "tensorflow/c/eager/tfe_tensor_debug_info_internal.h"
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#include "tensorflow/c/eager/tfe_tensorhandle_internal.h"
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#include "tensorflow/c/tf_status_internal.h"
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#include "tensorflow/core/common_runtime/eager/tensor_handle.h"
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#include "tensorflow/core/platform/status.h"
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using tensorflow::string;
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namespace {
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std::vector<tensorflow::int64> TensorShapeAsVector(
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const tensorflow::TensorHandle& handle, tensorflow::Status* status) {
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std::vector<tensorflow::int64> shape;
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int rank = -1;
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*status = handle.NumDims(&rank);
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if (!status->ok()) {
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return shape;
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}
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shape.reserve(rank);
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for (int i = 0; i < rank; ++i) {
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tensorflow::int64 dim;
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*status = handle.Dim(i, &dim);
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if (!status->ok()) {
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return shape;
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}
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shape.push_back(dim);
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}
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return shape;
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}
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} // namespace
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extern "C" {
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TF_CAPI_EXPORT extern TFE_TensorDebugInfo* TFE_TensorHandleTensorDebugInfo(
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TFE_TensorHandle* h, TF_Status* status) {
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tensorflow::TensorHandle* handle =
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TensorHandleFromInterface(tensorflow::unwrap(h));
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const tensorflow::Tensor* tensor;
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status->status = handle->Tensor(&tensor);
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if (!status->status.ok()) {
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return nullptr;
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}
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std::vector<tensorflow::int64> dev_dims =
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TensorShapeAsVector(*handle, &status->status);
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if (!status->status.ok()) {
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return nullptr;
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}
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return new TFE_TensorDebugInfo(dev_dims);
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}
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TF_CAPI_EXPORT extern void TFE_DeleteTensorDebugInfo(
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TFE_TensorDebugInfo* debug_info) {
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delete debug_info;
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}
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TF_CAPI_EXPORT extern int TFE_TensorDebugInfoOnDeviceNumDims(
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TFE_TensorDebugInfo* debug_info) {
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return debug_info->dev_dims.size();
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}
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TF_CAPI_EXPORT extern int64_t TFE_TensorDebugInfoOnDeviceDim(
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TFE_TensorDebugInfo* debug_info, int dim_index) {
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return debug_info->dev_dims[dim_index];
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}
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} // extern "C"
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