mirror of https://github.com/alibaba/MNN.git
62 lines
2.4 KiB
C++
62 lines
2.4 KiB
C++
//
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// ShapeBatchToSpaceND.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 "shape/SizeComputer.hpp"
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namespace MNN {
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class BatchToSpaceNDSizeComputer : 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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MNN_ASSERT(outputs.size() == 1);
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MNN_ASSERT(inputs.size() == 1 || inputs.size() == 3);
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auto input = inputs[0];
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auto output = outputs[0];
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int blockSize = 0;
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const int *blockData, *paddingData;
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if (inputs.size() == 3) {
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blockSize = inputs[1]->length(0);
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blockData = inputs[1]->host<int32_t>();
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paddingData = inputs[2]->host<int32_t>();
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} else {
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auto paramter = op->main_as_SpaceBatch();
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const auto blockShape = paramter->blockShape();
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const auto paddings = paramter->padding();
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blockSize = blockShape->dims()->data()[0];
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blockData = blockShape->int32s()->data();
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paddingData = paddings->int32s()->data();
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}
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int batch = input->batch();
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for (int i = 0; i < blockSize; ++i) {
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batch /= blockData[i];
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}
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output->setLength(0, batch);
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output->buffer().dimensions = input->buffer().dimensions;
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auto format = TensorUtils::getDescribe(input)->dimensionFormat;
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output->buffer().type = input->getType();
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TensorUtils::getDescribe(output)->dimensionFormat = format;
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if (MNN_DATA_FORMAT_NHWC != format) {
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output->setLength(1, input->length(1));
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for (int i = 0; i < blockSize; ++i) {
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int paddedLength = input->length(2+i) * blockData[i] - paddingData[2 * i] - paddingData[2 * i+1];
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output->setLength(i+2, paddedLength);
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}
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} else {
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output->setLength(1 + blockSize, input->length(1 + blockSize));
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for (int i = 0; i < blockSize; ++i) {
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int paddedLength = input->length(1+i) * blockData[i] - paddingData[2 * i] - paddingData[2 * i+1];
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output->setLength(i+1, paddedLength);
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}
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}
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return true;
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}
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};
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REGISTER_SHAPE_INPUTS(BatchToSpaceNDSizeComputer, OpType_BatchToSpaceND, std::vector<int>({1, 2}));
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} // namespace MNN
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