| /* |
| * 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" |
| |
| #include "hal.h" |
| |
| 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; |
| } |
| |