mirror of https://github.com/alibaba/MNN.git
				
				
				
			
		
			
				
	
	
		
			190 lines
		
	
	
		
			6.9 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			190 lines
		
	
	
		
			6.9 KiB
		
	
	
	
		
			C++
		
	
	
	
| //
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| //  GeometryReverseSequence.cpp
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| //  MNN
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| //
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| //  Created by MNN on 2020/05/29.
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| //  Copyright © 2018, Alibaba Group Holding Limited
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| //
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| 
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| #include "geometry/GeometryComputer.hpp"
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| namespace MNN {
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| class GeometryReverseSequence : public GeometryComputer {
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| public:
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|     virtual bool onCompute(const Op* op, const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs,
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|                            Context& context, CommandBuffer& res) const override {
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|         MNN_ASSERT(1 == outputs.size());
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|         MNN_ASSERT(2 == inputs.size());
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|         auto output  = outputs[0];
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|         auto input   = inputs[0];
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|         auto reverse = inputs[1];
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|         // below will using stride, set it first
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|         TensorUtils::setLinearLayout(output);
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|         TensorUtils::setLinearLayout(input);
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|         TensorUtils::setLinearLayout(reverse);
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| 
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|         if (nullptr == op->main_as_ReverseSequenceParam()) {
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|             MNN_ERROR("Dont's has Parameters for OpType_ReverseSequence\n");
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|             return false;
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|         }
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|         auto seqDim = op->main_as_ReverseSequenceParam()->seqDim();
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|         if (seqDim < 0) {
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|             seqDim += inputs[0]->dimensions();
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|         }
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|         auto batchDim = op->main_as_ReverseSequenceParam()->batchDim();
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|         if (batchDim < 0) {
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|             batchDim += inputs[0]->dimensions();
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|         }
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|         if (seqDim == batchDim) {
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|             MNN_ERROR("seq and batch dim can't be the same\n");
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|             return false;
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|         }
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|         if (inputs[0]->getType().bits != 32) {
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|             MNN_ERROR("Don't support %d bit's ReverseSequence\n", inputs[0]->getType().bits);
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|             return false;
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|         }
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| 
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|         if (inputs[1]->length(0) != inputs[0]->length(batchDim)) {
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|             MNN_ERROR("ReverseSequence info error\n");
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|             return false;
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|         }
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| 
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|         int mid0 = seqDim;
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|         int mid1 = batchDim;
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|         if (mid0 > mid1) {
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|             auto temp = mid1;
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|             mid1      = mid0;
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|             mid0      = temp;
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|         }
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|         int mInsideStride = inputs[0]->stride(mid1);
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| 
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|         int mOutsideSize   = 1;
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|         int mOutSideStride = 1;
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|         for (int i = 0; i < mid0; ++i) {
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|             mOutsideSize *= inputs[0]->length(i);
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|         }
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|         if (mid0 > 0) {
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|             mOutSideStride = inputs[0]->stride(mid0 - 1);
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|         }
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| 
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|         int mMidSize   = 1;
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|         int mMidStride = 1;
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|         for (int i = mid0 + 1; i < mid1; ++i) {
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|             mMidSize *= inputs[0]->length(i);
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|         }
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|         if (mid1 > 0) {
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|             mMidStride = inputs[0]->stride(mid1 - 1);
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|         }
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| 
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|         auto outputDes        = TensorUtils::getDescribe(output);
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|         outputDes->memoryType = Tensor::InsideDescribe::MEMORY_VIRTUAL;
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| 
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|         auto batchSize = input->length(batchDim);
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|         outputDes->regions.clear();
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| 
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|         for (int batch = 0; batch < batchSize; ++batch) {
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|             auto q = reverse->host<int32_t>()[batch];
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|             if (q > input->length(seqDim) || q < 1) {
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|                 MNN_ERROR("ReverseSequence info error\n");
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|                 return false;
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|             }
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| 
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|             for (int o = 0; o < mOutsideSize; ++o) {
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|                 Tensor::InsideDescribe::Region dstSlice;
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|                 dstSlice.origin = input;
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| 
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|                 dstSlice.size[0] = q;
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|                 dstSlice.size[1] = mMidSize;
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|                 dstSlice.size[2] = mInsideStride;
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| 
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|                 dstSlice.src.stride[0] = -(input->stride(seqDim));
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|                 dstSlice.src.stride[1] = mMidStride;
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|                 dstSlice.src.stride[2] = 1;
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|                 dstSlice.src.offset =
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|                     (q - 1) * input->stride(seqDim) + batch * input->stride(batchDim) + o * mOutSideStride;
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| 
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|                 dstSlice.dst.offset    = batch * output->stride(batchDim) + o * mOutSideStride;
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|                 dstSlice.dst.stride[0] = output->stride(seqDim);
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|                 dstSlice.dst.stride[1] = mMidStride;
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|                 dstSlice.dst.stride[2] = 1;
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| 
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|                 outputDes->regions.emplace_back(std::move(dstSlice));
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|             }
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|             
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|             if(q < input->length(seqDim)) {
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|                 const int leftSeq = input->length(seqDim) - q;
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|                 for (int o = 0; o < mOutsideSize; ++o) {
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|                     Tensor::InsideDescribe::Region dstSlice;
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|                     dstSlice.origin = input;
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| 
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|                     dstSlice.size[0] = leftSeq;
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|                     dstSlice.size[1] = mMidSize;
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|                     dstSlice.size[2] = mInsideStride;
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| 
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|                     dstSlice.src.stride[0] = input->stride(seqDim);
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|                     dstSlice.src.stride[1] = mMidStride;
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|                     dstSlice.src.stride[2] = 1;
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|                     dstSlice.src.offset =
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|                         q * input->stride(seqDim) + batch * input->stride(batchDim) + o * mOutSideStride;
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| 
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|                     dstSlice.dst.offset    = q * output->stride(seqDim) + batch * output->stride(batchDim) + o * mOutSideStride;
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|                     dstSlice.dst.stride[0] = output->stride(seqDim);
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|                     dstSlice.dst.stride[1] = mMidStride;
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|                     dstSlice.dst.stride[2] = 1;
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| 
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|                     outputDes->regions.emplace_back(std::move(dstSlice));
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|                 }
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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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| 
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| class GeometryReverse : public GeometryComputer {
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| public:
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|     virtual bool onCompute(const Op* op, const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs,
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|                            Context& context, CommandBuffer& res) const override {
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|         MNN_ASSERT(1 == outputs.size());
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|         MNN_ASSERT(2 == inputs.size());
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|         auto output  = outputs[0];
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|         auto input   = inputs[0];
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|         int  axis    = inputs[1]->host<int>()[0];
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|         int outsideSize = 1, insideSize = 1, reverseSize = input->length(axis);
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|         for (int i = 0; i < input->dimensions(); i++) {
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|             if (i < axis) {
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|                 outsideSize *= input->length(i);
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|             }
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|             if (i > axis) {
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|                 insideSize *= input->length(i);
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|             }
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|         }
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|         auto outputDes        = TensorUtils::getDescribe(output);
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|         outputDes->memoryType = Tensor::InsideDescribe::MEMORY_VIRTUAL;
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|         for (int i = 0; i < outsideSize; i++) {
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|             Tensor::InsideDescribe::Region region;
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|             region.origin = input;
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| 
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|             region.size[0] = reverseSize;
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|             region.size[1] = insideSize;
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|             region.size[2] = 1;
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| 
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|             region.src.offset = (i + 1) * reverseSize * insideSize - insideSize;
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|             region.src.stride[0] = -insideSize;
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| 
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|             region.dst.offset    = i * reverseSize * insideSize;
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|             region.dst.stride[0] = insideSize;
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|             outputDes->regions.emplace_back(std::move(region));
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|         }
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|         return true;
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|     }
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| };
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| static void _create() {
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|     std::shared_ptr<GeometryComputer> comp(new GeometryReverseSequence);
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|     GeometryComputer::registerGeometryComputer(comp, {OpType_ReverseSequence});
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|     std::shared_ptr<GeometryComputer> comp1(new GeometryReverse);
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|     GeometryComputer::registerGeometryComputer(comp1, {OpType_Reverse});
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| }
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| 
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| REGISTER_GEOMETRY(GeometryReverseSequence, _create);
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| 
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| } // namespace MNN
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