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- /* 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.
- ==============================================================================*/
- #include "tensorflow/lite/micro/kernels/quantize.h"
- #include "tensorflow/lite/c/common.h"
- #include "tensorflow/lite/kernels/internal/quantization_util.h"
- #include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
- #include "tensorflow/lite/kernels/kernel_util.h"
- #include "tensorflow/lite/micro/kernels/kernel_util.h"
- #include "tensorflow/lite/micro/micro_utils.h"
- namespace tflite {
- namespace {
- void* Init(TfLiteContext* context, const char* buffer, size_t length) {
- TFLITE_DCHECK(context->AllocatePersistentBuffer != nullptr);
- return context->AllocatePersistentBuffer(context,
- sizeof(OpDataQuantizeReference));
- }
- } // namespace
- TfLiteRegistration Register_QUANTIZE() {
- return tflite::micro::RegisterOp(Init, PrepareQuantizeReference,
- EvalQuantizeReference);
- }
- } // namespace tflite
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