85 lines
3.2 KiB
C++
85 lines
3.2 KiB
C++
/* Copyright 2021 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/lite/micro/flatbuffer_utils.h"
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namespace tflite {
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FlexbufferWrapper::FlexbufferWrapper(const uint8_t* buffer, size_t size)
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: flexbuffers::Vector(flexbuffers::GetRoot(buffer, size).AsVector()) {}
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int64_t FlexbufferWrapper::ElementAsInt64(size_t i) const {
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const uint8_t* elem = data_ + i * byte_width_;
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return ::flexbuffers::ReadInt64(elem, byte_width_);
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}
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uint64_t FlexbufferWrapper::ElementAsUInt64(size_t i) const {
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const uint8_t* elem = data_ + i * byte_width_;
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return ::flexbuffers::ReadUInt64(elem, byte_width_);
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}
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int32_t FlexbufferWrapper::ElementAsInt32(size_t i) const {
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return static_cast<int32_t>(ElementAsInt64(i));
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}
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bool FlexbufferWrapper::ElementAsBool(size_t i) const {
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return static_cast<bool>(ElementAsUInt64(i));
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}
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double FlexbufferWrapper::ElementAsDouble(size_t i) const {
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const uint8_t* elem = data_ + i * byte_width_;
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return ::flexbuffers::ReadDouble(elem, byte_width_);
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}
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float FlexbufferWrapper::ElementAsFloat(size_t i) const {
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return static_cast<float>(FlexbufferWrapper::ElementAsDouble(i));
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}
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// TODO(b/192589496): Ops must always be there. Remove this function when fixed
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uint32_t NumSubgraphOperators(const SubGraph* subgraph) {
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if (subgraph->operators() != nullptr) {
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return subgraph->operators()->size();
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} else {
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return 0;
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}
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}
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// TODO(b/192589496): Ops must always be there. Remove this function when fixed
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uint32_t NumSubgraphOperators(const Model* model, int subgraph_idx) {
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const SubGraph* subgraph = model->subgraphs()->Get(subgraph_idx);
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return NumSubgraphOperators(subgraph);
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}
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TfLiteIntArray* FlatBufferVectorToTfLiteTypeArray(
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const flatbuffers::Vector<int32_t>* flatbuffer_array) {
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// On little-endian machines, TfLiteIntArray happens to have the same memory
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// layout as flatbuffers:Vector<int32_t>, so we can reinterpret_cast the
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// flatbuffer vector and avoid a copy and malloc.
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// TODO(b/188459715): audit this usage of const_cast.
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return const_cast<TfLiteIntArray*>(
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reinterpret_cast<const TfLiteIntArray*>(flatbuffer_array));
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}
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TfLiteFloatArray* FlatBufferVectorToTfLiteTypeArray(
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const flatbuffers::Vector<float>* flatbuffer_array) {
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// On little-endian machines, TfLiteFloatArray happens to have the same memory
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// layout as flatbuffers:Vector<float>, so we can reinterpret_cast the
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// flatbuffer vector and avoid a copy and malloc.
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// TODO(b/188459715): audit this usage of const_cast.
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return const_cast<TfLiteFloatArray*>(
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reinterpret_cast<const TfLiteFloatArray*>(flatbuffer_array));
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}
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} // namespace tflite
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