1 | /* Copyright 2018 The TensorFlow Authors. All Rights Reserved. |
---|---|
2 | |
3 | Licensed under the Apache License, Version 2.0 (the "License"); |
4 | you may not use this file except in compliance with the License. |
5 | You may obtain a copy of the License at |
6 | |
7 | http://www.apache.org/licenses/LICENSE-2.0 |
8 | |
9 | Unless required by applicable law or agreed to in writing, software |
10 | distributed under the License is distributed on an "AS IS" BASIS, |
11 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
12 | See the License for the specific language governing permissions and |
13 | limitations under the License. |
14 | ==============================================================================*/ |
15 | |
16 | #include <vector> |
17 | |
18 | #include "tensorflow/c/c_api.h" |
19 | #include "tensorflow/c/eager/c_api.h" |
20 | #include "tensorflow/c/eager/tfe_tensor_debug_info_internal.h" |
21 | #include "tensorflow/c/eager/tfe_tensorhandle_internal.h" |
22 | #include "tensorflow/c/tf_status_internal.h" |
23 | #include "tensorflow/core/common_runtime/eager/tensor_handle.h" |
24 | #include "tensorflow/core/platform/status.h" |
25 | |
26 | using tensorflow::string; |
27 | |
28 | namespace { |
29 | |
30 | std::vector<int64_t> TensorShapeAsVector(const tensorflow::TensorHandle& handle, |
31 | tensorflow::Status* status) { |
32 | std::vector<int64_t> shape; |
33 | int rank = -1; |
34 | *status = handle.NumDims(&rank); |
35 | if (!status->ok()) { |
36 | return shape; |
37 | } |
38 | shape.reserve(rank); |
39 | for (int i = 0; i < rank; ++i) { |
40 | int64_t dim; |
41 | *status = handle.Dim(i, &dim); |
42 | if (!status->ok()) { |
43 | return shape; |
44 | } |
45 | shape.push_back(dim); |
46 | } |
47 | return shape; |
48 | } |
49 | |
50 | } // namespace |
51 | |
52 | extern "C"{ |
53 | |
54 | TF_CAPI_EXPORT extern TFE_TensorDebugInfo* TFE_TensorHandleTensorDebugInfo( |
55 | TFE_TensorHandle* h, TF_Status* status) { |
56 | tensorflow::TensorHandle* handle = |
57 | TensorHandleFromInterface(tensorflow::unwrap(h)); |
58 | const tensorflow::Tensor* tensor; |
59 | status->status = handle->Tensor(&tensor); |
60 | if (!status->status.ok()) { |
61 | return nullptr; |
62 | } |
63 | |
64 | std::vector<int64_t> dev_dims = TensorShapeAsVector(*handle, &status->status); |
65 | if (!status->status.ok()) { |
66 | return nullptr; |
67 | } |
68 | return new TFE_TensorDebugInfo(dev_dims); |
69 | } |
70 | |
71 | TF_CAPI_EXPORT extern void TFE_DeleteTensorDebugInfo( |
72 | TFE_TensorDebugInfo* debug_info) { |
73 | delete debug_info; |
74 | } |
75 | |
76 | TF_CAPI_EXPORT extern int TFE_TensorDebugInfoOnDeviceNumDims( |
77 | TFE_TensorDebugInfo* debug_info) { |
78 | return debug_info->dev_dims.size(); |
79 | } |
80 | |
81 | TF_CAPI_EXPORT extern int64_t TFE_TensorDebugInfoOnDeviceDim( |
82 | TFE_TensorDebugInfo* debug_info, int dim_index) { |
83 | return debug_info->dev_dims[dim_index]; |
84 | } |
85 | |
86 | } // extern "C" |
87 |