mirror of https://github.com/alibaba/MNN.git
				
				
				
			
		
			
				
	
	
		
			87 lines
		
	
	
		
			2.7 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			87 lines
		
	
	
		
			2.7 KiB
		
	
	
	
		
			C++
		
	
	
	
| //
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| //  GLPool.cpp
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| //  MNN
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| //
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| //  Created by MNN on 2019/01/31.
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| //  Copyright © 2018, Alibaba Group Holding Limited
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| //
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| 
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| #include "backend/opengl/GLPool.hpp"
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| #include "AllShader.hpp"
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| #include "backend/opengl/GLBackend.hpp"
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| #include "core/Macro.h"
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| namespace MNN {
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| namespace OpenGL {
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| ErrorCode GLPool::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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|     auto inputTensor = inputs[0];
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|     auto pool        = mPool;
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|     if (!pool->isGlobal()) {
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|         int kx      = pool->kernelX();
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|         int ky      = pool->kernelY();
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|         int sx      = pool->strideX();
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|         int sy      = pool->strideY();
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|         int px      = pool->padX();
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|         int py      = pool->padY();
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|         mSetUniform = [=] {
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|             glUniform2i(2, kx, ky);
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|             glUniform2i(3, sx, sy);
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|             glUniform2i(4, px, py);
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|         };
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|     } else {
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|         mSetUniform = [=] {
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|             glUniform2i(2, inputTensor->width(), inputTensor->height());
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|             glUniform2i(3, 1, 1);
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|             glUniform2i(4, 0, 0);
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|         };
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|     }
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|     return NO_ERROR;
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| }
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| 
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| ErrorCode GLPool::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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|     auto imageInput   = inputs[0]->deviceId();
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|     auto imageOutput  = outputs[0]->deviceId();
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|     auto outputTensor = outputs[0];
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|     auto inputTensor  = inputs[0];
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| 
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|     MNN_ASSERT(mPoolProgram.get() != NULL);
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| 
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|     mPoolProgram->useProgram();
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|     glBindImageTexture(0, imageInput, 0, GL_TRUE, 0, GL_READ_ONLY, ((GLBackend *)backend())->getTextrueFormat());
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|     glBindImageTexture(1, imageOutput, 0, GL_TRUE, 0, GL_WRITE_ONLY, ((GLBackend *)backend())->getTextrueFormat());
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|     mSetUniform();
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|     glUniform3i(10, outputTensor->width(), outputTensor->height(), UP_DIV(outputTensor->channel(), 4));
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|     glUniform3i(11, inputTensor->width(), inputTensor->height(), UP_DIV(inputTensor->channel(), 4));
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| 
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|     OPENGL_CHECK_ERROR;
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| 
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|     auto depthQuad = UP_DIV(outputTensor->channel(), 4);
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|     ((GLBackend *)backend())->compute(UP_DIV(outputTensor->width(), 2), UP_DIV(outputTensor->height(), 2), UP_DIV(depthQuad, 16));
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| 
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|     OPENGL_CHECK_ERROR;
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| 
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|     return NO_ERROR;
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| }
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| 
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| GLPool::~GLPool() {
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| }
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| 
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| GLPool::GLPool(const std::vector<Tensor *> &inputs, const Op *op, Backend *bn) : Execution(bn) {
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|     auto extra = (GLBackend *)bn;
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|     auto pool = op->main_as_Pool();
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|     switch (pool->type()) {
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|         case PoolType_MAXPOOL:
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|             mPoolProgram = extra->getProgram("maxPool", glsl_maxpool_glsl);
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|             break;
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|         case PoolType_AVEPOOL:
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|             mPoolProgram = extra->getProgram("meanPool", glsl_avgpool_glsl);
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|             break;
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|         default:
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|             MNN_ASSERT(false);
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|             break;
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|     }
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|     mPool = pool;
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| }
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| GLCreatorRegister<TypedCreator<GLPool>> __pool_op(OpType_Pooling);
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| } // namespace OpenGL
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| } // namespace MNN
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