chore: import upstream snapshot with attribution
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//
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// ShapeUnpack.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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#include "core/Macro.h"
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namespace MNN {
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class UnpackComputer : public SizeComputer {
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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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if (nullptr == op || inputs.empty() || outputs.empty()) {
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// Avoid crash for special model
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return false;
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}
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auto unpack = op->main_as_Axis();
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int axis = unpack->axis();
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if (axis < 0) {
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axis += inputs[0]->dimensions();
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}
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auto &input = inputs[0]->buffer();
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const int inputDimensions = input.dimensions;
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MNN_ASSERT(1 <= inputDimensions);
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int32_t outDims[MNN_MAX_TENSOR_DIM];
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if (outputs.size() > input.dim[axis].extent) {
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return false;
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}
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for (int i = 0; i < axis; i++) {
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outDims[i] = input.dim[i].extent;
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}
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for (int i = axis + 1; i < inputDimensions; i++) {
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outDims[i - 1] = input.dim[i].extent;
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}
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const int outputDimensions = inputDimensions - 1;
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for (int i = 0; i < outputs.size(); i++) {
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auto &output = outputs[i]->buffer();
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output.dimensions = outputDimensions;
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output.type = input.type;
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for (int j = 0; j < outputDimensions; j++) {
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output.dim[j].extent = outDims[j];
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}
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TensorUtils::getDescribe(outputs[i])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
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}
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return true;
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}
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};
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REGISTER_SHAPE(UnpackComputer, OpType_Unpack);
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} // namespace MNN
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