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author | alexander <alexander.efremov@arm.com> | 2021-03-26 21:42:19 +0000 |
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committer | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2021-03-29 16:29:55 +0100 |
commit | 3c79893217bc632c9b0efa815091bef3c779490c (patch) | |
tree | ad06b444557eb8124652b45621d736fa1b92f65d /source/application/tensorflow-lite-micro/TensorFlowLiteMicro.cc | |
parent | 6ad6d55715928de72979b04194da1bdf04a4c51b (diff) | |
download | ml-embedded-evaluation-kit-3c79893217bc632c9b0efa815091bef3c779490c.tar.gz |
Opensource ML embedded evaluation kit21.03
Change-Id: I12e807f19f5cacad7cef82572b6dd48252fd61fd
Diffstat (limited to 'source/application/tensorflow-lite-micro/TensorFlowLiteMicro.cc')
-rw-r--r-- | source/application/tensorflow-lite-micro/TensorFlowLiteMicro.cc | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/source/application/tensorflow-lite-micro/TensorFlowLiteMicro.cc b/source/application/tensorflow-lite-micro/TensorFlowLiteMicro.cc new file mode 100644 index 0000000..ce36a8f --- /dev/null +++ b/source/application/tensorflow-lite-micro/TensorFlowLiteMicro.cc @@ -0,0 +1,47 @@ +/* + * 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() +{ + info("uTFL version: %u.%u.%u\n", TF_MAJOR_VERSION, TF_MINOR_VERSION, + TF_PATCH_VERSION); +} + +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; +} + |