| /* 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. |
| ==============================================================================*/ |
| #ifndef TENSORFLOW_LITE_DELEGATES_HEXAGON_BUILDERS_CONV_2D_BUILDER_H_ |
| #define TENSORFLOW_LITE_DELEGATES_HEXAGON_BUILDERS_CONV_2D_BUILDER_H_ |
| |
| #include <vector> |
| |
| #include "tensorflow/lite/delegates/hexagon/builders/op_builder.h" |
| |
| namespace tflite { |
| namespace delegates { |
| namespace hexagon { |
| |
| // Stores quantization data for Conv/TransposeConv nodes. |
| // This information is used to handle the per-channel quantized weights & biases |
| // correctly in the Hexagon delegate. |
| struct PerChannelQuantData { |
| // This is initialized while processing quantized weights, and acts as an |
| // input to Hexagon Conv nodes. |
| OpBuilder* channel_scales_node = nullptr; |
| // Scale information is obtained from TfLiteAffineQuantization in the weights |
| // tensor. |
| float* scales_data = nullptr; |
| int num_scale_values = 1; |
| }; |
| |
| class Conv2dOpBuilder : public OpBuilder { |
| public: |
| explicit Conv2dOpBuilder(GraphBuilder* graph_builder, int op_type) |
| : OpBuilder(graph_builder, op_type) {} |
| TfLiteStatus PopulateSubGraph(const TfLiteIntArray* inputs, |
| const TfLiteIntArray* outputs, |
| TfLiteContext* context) override; |
| |
| TfLiteStatus RegisterOutputs(const TfLiteIntArray* outputs, |
| TfLiteContext* context) override; |
| |
| ~Conv2dOpBuilder() override; |
| |
| private: |
| TfLiteStatus InitializeWeightsNodes(const TfLiteIntArray* inputs, |
| const TfLiteIntArray* outputs, |
| TfLiteContext* context, |
| const int input_depth); |
| |
| TfLiteStatus InitializeBiasNodes(const TfLiteIntArray* inputs, |
| const TfLiteIntArray* outputs, |
| TfLiteContext* context); |
| |
| TensorID node_output_; |
| std::vector<float> transposed_weights_; |
| std::vector<int> stride_shape_; |
| std::vector<int> weight_shape_; |
| OpBuilder* weights_min_node_ = nullptr; |
| OpBuilder* weights_max_node_ = nullptr; |
| OpBuilder* bias_min_node_ = nullptr; |
| OpBuilder* bias_max_node_ = nullptr; |
| |
| // Modified only if node has per-channel quantized weights/biases. |
| PerChannelQuantData per_channel_quant_; |
| |
| // Only used for dilated Depthwise Conv. |
| std::vector<int> dilation_factors_h_w_; |
| std::vector<int> space_to_batch_paddings_; |
| std::vector<int> batch_to_space_crops_; |
| }; |
| |
| // ProcessPerChannelQuantizedWeights & ProcessPerChannelQuantizedBias can be |
| // used to pre-process per-channel quantized weights & biases for Hexagon. |
| // NOTE: ProcessPerChannelQuantizedWeights should be run before |
| // ProcessPerChannelQuantizedBias. This is becase we set PerChannelQuantData |
| // based on the weights tensor, which is utilized while preprocessing bias. |
| |
| TfLiteStatus ProcessPerChannelQuantizedWeights( |
| const TfLiteIntArray* inputs, const TfLiteIntArray* outputs, |
| TfLiteContext* context, float* weights_min, float* weights_max, |
| GraphBuilder* graph_builder, PerChannelQuantData* per_channel_quant); |
| |
| TfLiteStatus ProcessPerChannelQuantizedBias( |
| const TfLiteIntArray* inputs, const TfLiteIntArray* outputs, |
| TfLiteContext* context, float* bias_min, float* bias_max, |
| GraphBuilder* graph_builder, PerChannelQuantData* per_channel_quant, |
| OpBuilder** bias_const_node = nullptr); |
| |
| } // namespace hexagon |
| } // namespace delegates |
| } // namespace tflite |
| |
| #endif // TENSORFLOW_LITE_DELEGATES_HEXAGON_BUILDERS_CONV_2D_BUILDER_H_ |