0d4f0584ef
On few test models this reduces the size of const nodes by half, which will reduce graph preparation time. Bug fix for sometimes wrong casting. Remove some redundant const nodes. PiperOrigin-RevId: 326046789 Change-Id: I462dd6702e0e02953c43ab47dd53589a653b3531
63 lines
2.4 KiB
C++
63 lines
2.4 KiB
C++
/* Copyright 2019 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/delegates/hexagon/builders/transpose_builder.h"
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#include <stdint.h>
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#include <limits>
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namespace tflite {
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namespace delegates {
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namespace hexagon {
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TfLiteStatus TransposeOpBuilder::PopulateSubGraph(const TfLiteIntArray* inputs,
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const TfLiteIntArray* outputs,
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TfLiteContext* context) {
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// Input data tensor.
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int tensor_id = inputs->data[0];
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const auto& input_tensor = context->tensors[tensor_id];
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AddInput(graph_builder_->GetHexagonTensorId(tensor_id));
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// permutation tensor.
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AddInput(graph_builder_->GetHexagonTensorId(inputs->data[1]));
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TF_LITE_ENSURE_STATUS(ComputeAndAddMinAndMax(context, input_tensor));
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// Hexagon outputs for this node.
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int output_batch_size, output_height_size, output_width_size,
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output_depth_size;
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GetDims(&output_batch_size, &output_height_size, &output_width_size,
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&output_depth_size, context->tensors[outputs->data[0]].dims);
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node_output_ = AddOutput(sizeof(uint8_t), 4,
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{output_batch_size, output_height_size,
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output_width_size, output_depth_size});
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AddOutput(sizeof(float), 4, kScalarShape);
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AddOutput(sizeof(float), 4, kScalarShape);
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return kTfLiteOk;
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}
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TfLiteStatus TransposeOpBuilder::RegisterOutputs(const TfLiteIntArray* outputs,
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TfLiteContext* context) {
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graph_builder_->AddTensorWithID(outputs->data[0], node_output_.first,
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node_output_.second);
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return kTfLiteOk;
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}
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OpBuilder* CreateTransposeBuilder(GraphBuilder* graph_builder, int op_type) {
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return new TransposeOpBuilder(graph_builder, op_type);
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}
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} // namespace hexagon
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} // namespace delegates
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} // namespace tflite
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