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/*
* Copyright (c) 2021 Arm Limited. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* 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 "TensorFlowLiteMicro.hpp"
void PrintTensorFlowVersion()
{}
arm::app::QuantParams arm::app::GetTensorQuantParams(TfLiteTensor* tensor)
{
arm::app::QuantParams params;
if (kTfLiteAffineQuantization == tensor->quantization.type) {
auto* quantParams = (TfLiteAffineQuantization*) (tensor->quantization.params);
if (quantParams && 0 == quantParams->quantized_dimension) {
if (quantParams->scale->size) {
params.scale = quantParams->scale->data[0];
}
if (quantParams->zero_point->size) {
params.offset = quantParams->zero_point->data[0];
}
} else if (tensor->params.scale != 0.0) {
/* Legacy tensorflow quantisation parameters */
params.scale = tensor->params.scale;
params.offset = tensor->params.zero_point;
}
}
return params;
}
extern "C" void DebugLog(const char* s)
{
puts(s);
}
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