mirror of https://github.com/alibaba/MNN.git
46 lines
1.7 KiB
C++
46 lines
1.7 KiB
C++
//
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// ShapeSpaceToBatchND.cpp
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// MNN
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//
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// Created by MNN on 2019/01/10.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "core/SizeComputer.hpp"
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#include "core/TensorUtils.hpp"
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namespace MNN {
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class SpaceToBatchNDSizeComputer : public SizeComputer {
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public:
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virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
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const std::vector<Tensor*>& outputs) const override {
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auto input = inputs[0];
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auto output = outputs[0];
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auto paramter = op->main_as_SpaceBatch();
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const auto blockShape = paramter->blockShape();
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int batch = input->batch();
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for (int i = 0; i < blockShape->dims()->data()[0]; ++i) {
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batch *= blockShape->int32s()->data()[i];
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}
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const auto paddings = paramter->padding();
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const auto paddingData = paddings->int32s()->data();
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int paddedHeight = input->height() + paddingData[0] + paddingData[1];
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int paddedWidth = input->width() + paddingData[2] + paddingData[3];
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int outputHeight = paddedHeight / blockShape->int32s()->data()[0];
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int outputWidth = paddedWidth / blockShape->int32s()->data()[1];
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output->buffer().type = input->buffer().type;
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output->buffer().dimensions = input->buffer().dimensions;
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output->setLength(0, batch);
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output->setLength(1, input->channel());
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output->setLength(2, outputHeight);
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output->setLength(3, outputWidth);
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TensorUtils::getDescribe(output)->dimensionFormat = MNN_DATA_FORMAT_NC4HW4;
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return true;
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}
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};
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REGISTER_SHAPE(SpaceToBatchNDSizeComputer, OpType_SpaceToBatchND);
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} // namespace MNN
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