45 lines
1.6 KiB
C++
45 lines
1.6 KiB
C++
/* Copyright 2023 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_UTILS_UTILS_H_
|
|
#define TENSORFLOW_LITE_DELEGATES_UTILS_UTILS_H_
|
|
|
|
#include <cstddef>
|
|
#include <cstdint>
|
|
#include <memory>
|
|
#include <vector>
|
|
|
|
#include "absl/status/status.h"
|
|
#include "tensorflow/lite/c/c_api_types.h"
|
|
#include "tensorflow/lite/delegates/utils/ret_macros.h"
|
|
|
|
namespace tflite::delegates::utils {
|
|
|
|
// Returns kTfLiteOk if the status is ok;
|
|
// Otherwise, log the error message and returns kTfLiteError.
|
|
TfLiteStatus ConvertToTfLiteStatus(absl::Status status);
|
|
|
|
inline bool IsPowerOfTwo(size_t x) { return x && ((x & (x - 1)) == 0); }
|
|
|
|
// Round up "size" to the nearest multiple of "multiple".
|
|
// "multiple" must be a power of 2.
|
|
inline uint32_t RoundUp(uint32_t size, uint32_t multiple) {
|
|
TFLITE_ABORT_CHECK(IsPowerOfTwo(multiple), ""); // Crash OK
|
|
return (size + (multiple - 1)) & ~(multiple - 1);
|
|
}
|
|
|
|
} // namespace tflite::delegates::utils
|
|
|
|
#endif // TENSORFLOW_LITE_DELEGATES_UTILS_UTILS_H_
|