mirror of https://github.com/alibaba/MNN.git
113 lines
3.7 KiB
C++
113 lines
3.7 KiB
C++
//
|
|
// GLSoftmax.cpp
|
|
// MNN
|
|
//
|
|
// Created by MNN on 2019/01/31.
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
|
//
|
|
|
|
#include "backend/opengl/GLSoftmax.hpp"
|
|
#include <sstream>
|
|
#include "AllShader.hpp"
|
|
#include "core/Macro.h"
|
|
#include "core/TensorUtils.hpp"
|
|
|
|
namespace MNN {
|
|
namespace OpenGL {
|
|
GLSoftmax::GLSoftmax(const std::vector<Tensor *> &inputs, const Op *op, Backend *bn) : Execution(bn) {
|
|
const auto softmaxParam = op->main_as_Axis();
|
|
mAxis = softmaxParam->axis();
|
|
mGLBackend = (GLBackend *)bn;
|
|
|
|
}
|
|
|
|
GLSoftmax::~GLSoftmax() {
|
|
|
|
}
|
|
|
|
ErrorCode GLSoftmax::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
|
|
auto input = inputs[0];
|
|
auto output = outputs[0];
|
|
std::vector<std::string> prefix;
|
|
setLocalSize(prefix, mLocalSize, 8, 8, 1);
|
|
if (mAxis < 0) {
|
|
mAxis = inputs[0]->dimensions() + mAxis;
|
|
}
|
|
if (1 == mAxis) { //channel
|
|
mProgram = mGLBackend->getProgram("softmax_channel", glsl_softmaxChannel_glsl, prefix);
|
|
} else if (2 == mAxis) { //height
|
|
mProgram = mGLBackend->getProgram("softmax_height", glsl_softmaxHeight_glsl, prefix);
|
|
} else if (3 == mAxis) { //width
|
|
mProgram = mGLBackend->getProgram("softmax_width", glsl_softmaxWidth_glsl, prefix);
|
|
} else {
|
|
MNN_ASSERT(false);
|
|
}
|
|
return NO_ERROR;
|
|
}
|
|
|
|
ErrorCode GLSoftmax::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
|
|
|
|
auto input = inputs[0];
|
|
auto output = outputs[0];
|
|
|
|
std::vector<int> inputShape = tensorShapeFormat(input);
|
|
std::vector<int> outputShape = tensorShapeFormat(output);
|
|
|
|
int ib = inputShape.at(0);
|
|
int ih = inputShape.at(1);
|
|
int iw = inputShape.at(2);
|
|
int ic = inputShape.at(3);
|
|
int ic_4 = UP_DIV(ic, 4);
|
|
|
|
int ob = outputShape.at(0);
|
|
int oh = outputShape.at(1);
|
|
int ow = outputShape.at(2);
|
|
int oc = outputShape.at(3);
|
|
int oc_4 = UP_DIV(oc, 4);
|
|
|
|
// NC4HW4 input
|
|
mProgram->useProgram();
|
|
glBindImageTexture(0, output->deviceId(), 0, GL_TRUE, 0, GL_WRITE_ONLY, ((GLBackend *)backend())->getTextrueFormat());
|
|
OPENGL_CHECK_ERROR;
|
|
{
|
|
int texId = 0;
|
|
glActiveTexture(GL_TEXTURE0 + texId);
|
|
glUniform1i(1, texId);
|
|
glBindTexture(GL_TEXTURE_3D, input->deviceId());
|
|
OPENGL_CHECK_ERROR;
|
|
}
|
|
glUniform1i(2, iw);
|
|
glUniform1i(3, ih);
|
|
glUniform1i(4, ic);
|
|
if (1 == mAxis) { //channel
|
|
((GLBackend *)backend())->compute(UP_DIV(iw, mLocalSize[0]), UP_DIV(ih, mLocalSize[1]), UP_DIV(ib, mLocalSize[2]));
|
|
} else if (2 == mAxis) { //height
|
|
((GLBackend *)backend())->compute(UP_DIV(iw, mLocalSize[0]), UP_DIV(1, mLocalSize[1]), UP_DIV(ic_4*ib, mLocalSize[2]));
|
|
} else if (3 == mAxis) { //width
|
|
((GLBackend *)backend())->compute(UP_DIV(1, mLocalSize[0]), UP_DIV(ih, mLocalSize[1]), UP_DIV(ic_4*ib, mLocalSize[2]));
|
|
} else {
|
|
MNN_ASSERT(false);
|
|
}
|
|
|
|
return NO_ERROR;
|
|
}
|
|
|
|
class SoftmaxCreator : public GLBackend::Creator {
|
|
public:
|
|
virtual ~SoftmaxCreator() = default;
|
|
virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs,
|
|
const MNN::Op *op, Backend *backend) const override {
|
|
if(TensorUtils::getDescribe(inputs[0])->dimensionFormat == MNN_DATA_FORMAT_NHWC){
|
|
MNN_PRINT("softmax not support dimensionFormat == MNN_DATA_FORMAT_NHWC \n");
|
|
return nullptr;
|
|
}else if(inputs[0]->dimensions() == 3 || outputs[0]->dimensions() == 3){
|
|
MNN_PRINT("softmax not support dimensions == 3 \n");
|
|
return nullptr;
|
|
}
|
|
return new GLSoftmax(inputs, op, backend);
|
|
}
|
|
};
|
|
GLCreatorRegister<SoftmaxCreator> __softmax_op(OpType_Softmax);
|
|
} // namespace OpenGL
|
|
} // namespace MNN
|