diff options
Diffstat (limited to 'tensorflow/contrib/lite/delegates/eager/util.h')
-rw-r--r-- | tensorflow/contrib/lite/delegates/eager/util.h | 42 |
1 files changed, 42 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/delegates/eager/util.h b/tensorflow/contrib/lite/delegates/eager/util.h new file mode 100644 index 0000000000..a9407be071 --- /dev/null +++ b/tensorflow/contrib/lite/delegates/eager/util.h @@ -0,0 +1,42 @@ +/* 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, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +==============================================================================*/ +#ifndef TENSORFLOW_CONTRIB_LITE_DELEGATES_EAGER_UTIL_H_ +#define TENSORFLOW_CONTRIB_LITE_DELEGATES_EAGER_UTIL_H_ + +#include "tensorflow/c/c_api_internal.h" +#include "tensorflow/contrib/lite/context.h" +#include "tensorflow/core/framework/tensor.h" +#include "tensorflow/core/lib/core/status.h" + +namespace tflite { +namespace eager { + +// Converts a tensorflow:Status into a TfLiteStatus. If the original status +// represented an error, reports it using the given 'context'. +TfLiteStatus ConvertStatus(TfLiteContext* context, + const tensorflow::Status& status); + +// Copies the given shape of the given 'src' into a TF Lite 'tensor'. Logs an +// error and returns kTfLiteError if the shape can't be converted. +TfLiteStatus CopyShape(TfLiteContext* context, const tensorflow::Tensor& src, + TfLiteTensor* tensor); + +// Returns the TF C API Data type that corresponds to the given TfLiteType. +TF_DataType GetTensorFlowDataType(TfLiteType type); + +} // namespace eager +} // namespace tflite + +#endif // TENSORFLOW_CONTRIB_LITE_DELEGATES_EAGER_UTIL_H_ |