wehub-resource-sync
39 lines
1.6 KiB
C++
39 lines
1.6 KiB
C++
/* Copyright 2019 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_LITE_DELEGATES_HEXAGON_UTILS_H_
|
|
#define TENSORFLOW_LITE_DELEGATES_HEXAGON_UTILS_H_
|
|
|
|
#include "tensorflow/lite/core/c/common.h"
|
|
|
|
namespace tflite {
|
|
|
|
// Interpretes data from 'dims' as a 4D shape {batch, height, width, depth} and
|
|
// populates the corresponding values. If dims->size < 4, the shape is prefixed
|
|
// with 1s.
|
|
// For example, dims {2, 3} is interpreted as: {1, 1, 2, 3}.
|
|
// Returns kTfLiteError if dims->size > 4, kTfLiteOk otherwise.
|
|
TfLiteStatus Get4DShape(unsigned int* batch_size, unsigned int* height_size,
|
|
unsigned int* width_size, unsigned int* depth_size,
|
|
TfLiteIntArray* dims);
|
|
|
|
// Returns true if provided node is supported by Hexagon NNLib in the current
|
|
// context.
|
|
bool IsNodeSupportedByHexagon(const TfLiteRegistration* registration,
|
|
const TfLiteNode* node, TfLiteContext* context);
|
|
|
|
} // namespace tflite
|
|
|
|
#endif // TENSORFLOW_LITE_DELEGATES_HEXAGON_UTILS_H_
|