2019-06-24 11:32:41 +08:00
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//
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// GLReshape.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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2020-01-15 13:33:47 +08:00
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#include "backend/opengl/GLReshape.hpp"
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2019-06-24 11:32:41 +08:00
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#include <sstream>
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2020-01-15 13:33:47 +08:00
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#include "AllShader.hpp"
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2019-12-27 22:16:57 +08:00
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#include "backend/opengl/GLBackend.hpp"
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#include "core/Macro.h"
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#include "core/TensorUtils.hpp"
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2019-06-24 11:32:41 +08:00
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namespace MNN {
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namespace OpenGL {
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GLReshape::GLReshape(const std::vector<Tensor *> &inputs, const Op *op, Backend *bn) : Execution(bn) {
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- dynamic computation graph (beta)
- add supports (/express)
- add tests
- add benchmarks with it (/benchmark/exprModels)
- Python
- MNN engine and tools were submitted to pip
- available on Windows/macOS/Linux
- Engine/Converter
- add supports for each op benchmarking
- refactor optimizer by separating steps
- CPU
- add supports for Conv3D, Pool3D, ELU, ReverseSequence
- fix ArgMax, Permute, Scale, BinaryOp, Slice, SliceTf
- OpenCL
- add half transform in CPU
- add broadcast supports for binary
- optimize Conv2D, Reshape, Eltwise, Gemm, etc.
- OpenGL
- add sub, real div supports for binary
- add supports for unary
- optimize Conv2D, Reshape
- Vulkan
- add max supports for eltwise
- Metal
- fix metallib missing problem
- Train/Quantization
- use express to refactor training codes
2019-09-26 21:02:07 +08:00
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mDimType = op->main_as_Reshape()->dimType();
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2019-06-24 11:32:41 +08:00
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}
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GLReshape::~GLReshape() {
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2019-12-27 22:16:57 +08:00
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2019-06-24 11:32:41 +08:00
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}
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2019-12-27 22:16:57 +08:00
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2019-06-24 11:32:41 +08:00
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ErrorCode GLReshape::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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std::vector<std::string> prefix;
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setLocalSize(prefix, mLocalSize, 8, 8, 1);
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2019-07-02 18:01:08 +08:00
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mTempBuffer.reset(new GLSSBOBuffer(inputs[0]->size()));
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- dynamic computation graph (beta)
- add supports (/express)
- add tests
- add benchmarks with it (/benchmark/exprModels)
- Python
- MNN engine and tools were submitted to pip
- available on Windows/macOS/Linux
- Engine/Converter
- add supports for each op benchmarking
- refactor optimizer by separating steps
- CPU
- add supports for Conv3D, Pool3D, ELU, ReverseSequence
- fix ArgMax, Permute, Scale, BinaryOp, Slice, SliceTf
- OpenCL
- add half transform in CPU
- add broadcast supports for binary
- optimize Conv2D, Reshape, Eltwise, Gemm, etc.
- OpenGL
- add sub, real div supports for binary
- add supports for unary
- optimize Conv2D, Reshape
- Vulkan
- add max supports for eltwise
- Metal
- fix metallib missing problem
- Train/Quantization
- use express to refactor training codes
2019-09-26 21:02:07 +08:00
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auto input = inputs[0];
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2019-12-27 22:16:57 +08:00
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|
- dynamic computation graph (beta)
- add supports (/express)
- add tests
- add benchmarks with it (/benchmark/exprModels)
- Python
- MNN engine and tools were submitted to pip
- available on Windows/macOS/Linux
- Engine/Converter
- add supports for each op benchmarking
- refactor optimizer by separating steps
- CPU
- add supports for Conv3D, Pool3D, ELU, ReverseSequence
- fix ArgMax, Permute, Scale, BinaryOp, Slice, SliceTf
- OpenCL
- add half transform in CPU
- add broadcast supports for binary
- optimize Conv2D, Reshape, Eltwise, Gemm, etc.
- OpenGL
- add sub, real div supports for binary
- add supports for unary
- optimize Conv2D, Reshape
- Vulkan
- add max supports for eltwise
- Metal
- fix metallib missing problem
- Train/Quantization
- use express to refactor training codes
2019-09-26 21:02:07 +08:00
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if (mDimType == MNN_DATA_FORMAT_NCHW) {
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2019-07-02 18:01:08 +08:00
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mSrcProgram = ((GLBackend *)backend())->getProgram("src", glsl_image_to_nchw_buffer_glsl, prefix);
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mDstProgram = ((GLBackend *)backend())->getProgram("dst", glsl_nchw_buffer_to_image_glsl, prefix);
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2019-06-24 11:32:41 +08:00
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}else{
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2019-07-02 18:01:08 +08:00
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mSrcProgram = ((GLBackend *)backend())->getProgram("src", glsl_image_to_nhwc_buffer_glsl, prefix);
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mDstProgram = ((GLBackend *)backend())->getProgram("dst", glsl_nhwc_buffer_to_image_glsl, prefix);
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2019-06-24 11:32:41 +08:00
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}
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2019-12-27 22:16:57 +08:00
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2019-06-24 11:32:41 +08:00
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return NO_ERROR;
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}
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ErrorCode GLReshape::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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auto input = inputs[0];
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auto output = outputs[0];
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2019-07-02 18:01:08 +08:00
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std::vector<int> inputShape = tensorShapeFormat(input);
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std::vector<int> outputShape = tensorShapeFormat(output);
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int ib = inputShape.at(0);
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int ih = inputShape.at(1);
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int iw = inputShape.at(2);
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int ic = inputShape.at(3);
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2019-06-24 11:32:41 +08:00
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int ic_4 = UP_DIV(ic, 4);
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2019-12-27 22:16:57 +08:00
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2019-07-02 18:01:08 +08:00
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int ob = outputShape.at(0);
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int oh = outputShape.at(1);
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int ow = outputShape.at(2);
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int oc = outputShape.at(3);
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2019-06-24 11:32:41 +08:00
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int oc_4 = UP_DIV(oc, 4);
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- dynamic computation graph (beta)
- add supports (/express)
- add tests
- add benchmarks with it (/benchmark/exprModels)
- Python
- MNN engine and tools were submitted to pip
- available on Windows/macOS/Linux
- Engine/Converter
- add supports for each op benchmarking
- refactor optimizer by separating steps
- CPU
- add supports for Conv3D, Pool3D, ELU, ReverseSequence
- fix ArgMax, Permute, Scale, BinaryOp, Slice, SliceTf
- OpenCL
- add half transform in CPU
- add broadcast supports for binary
- optimize Conv2D, Reshape, Eltwise, Gemm, etc.
- OpenGL
- add sub, real div supports for binary
- add supports for unary
- optimize Conv2D, Reshape
- Vulkan
- add max supports for eltwise
- Metal
- fix metallib missing problem
- Train/Quantization
- use express to refactor training codes
2019-09-26 21:02:07 +08:00
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if (mDimType == MNN_DATA_FORMAT_NCHW) {
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2019-07-02 18:01:08 +08:00
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//image -> buffer(nchw)
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{
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mSrcProgram->useProgram();
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2019-07-25 13:36:35 +08:00
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glBindImageTexture(0, input->deviceId(), 0, GL_TRUE, 0, GL_READ_ONLY, ((GLBackend *)backend())->getTextrueFormat());
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2019-07-02 18:01:08 +08:00
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glBindBufferBase(GL_SHADER_STORAGE_BUFFER, 1, mTempBuffer->getId());
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glUniform1i(2, iw);
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glUniform1i(3, ih);
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OPENGL_CHECK_ERROR;
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((GLBackend *)backend())->compute(UP_DIV(iw, mLocalSize[0]), UP_DIV(ih, mLocalSize[1]), UP_DIV(ic_4, mLocalSize[2]));
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OPENGL_CHECK_ERROR;
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}
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//buffer(nchw) -> image
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{
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mDstProgram->useProgram();
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2019-07-25 13:36:35 +08:00
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glBindImageTexture(0, output->deviceId(), 0, GL_TRUE, 0, GL_WRITE_ONLY, ((GLBackend *)backend())->getTextrueFormat());
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2019-07-02 18:01:08 +08:00
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glBindBufferBase(GL_SHADER_STORAGE_BUFFER, 1, mTempBuffer->getId());
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glUniform1i(2, ow);
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glUniform1i(3, oh);
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OPENGL_CHECK_ERROR;
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((GLBackend *)backend())->compute(UP_DIV(ow, mLocalSize[0]), UP_DIV(oh, mLocalSize[1]), UP_DIV(oc_4, mLocalSize[2]));
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OPENGL_CHECK_ERROR;
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}
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}else{
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//image -> buffer(nhwc)
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{
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mSrcProgram->useProgram();
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2019-07-25 13:36:35 +08:00
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glBindImageTexture(0, input->deviceId(), 0, GL_TRUE, 0, GL_READ_ONLY, ((GLBackend *)backend())->getTextrueFormat());
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2019-07-02 18:01:08 +08:00
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glBindBufferBase(GL_SHADER_STORAGE_BUFFER, 1, mTempBuffer->getId());
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glUniform1i(2, iw);
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glUniform1i(3, ih);
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glUniform1i(4, ic);
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OPENGL_CHECK_ERROR;
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((GLBackend *)backend())->compute(UP_DIV(iw, mLocalSize[0]), UP_DIV(ih, mLocalSize[1]), UP_DIV(ic_4, mLocalSize[2]));
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OPENGL_CHECK_ERROR;
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}
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//buffer -> image
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{
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mDstProgram->useProgram();
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2019-07-25 13:36:35 +08:00
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glBindImageTexture(0, output->deviceId(), 0, GL_TRUE, 0, GL_WRITE_ONLY, ((GLBackend *)backend())->getTextrueFormat());
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2019-07-02 18:01:08 +08:00
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glBindBufferBase(GL_SHADER_STORAGE_BUFFER, 1, mTempBuffer->getId());
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glUniform1i(2, ow);
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glUniform1i(3, oh);
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glUniform1i(4, oc);
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OPENGL_CHECK_ERROR;
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((GLBackend *)backend())->compute(UP_DIV(ow, mLocalSize[0]), UP_DIV(oh, mLocalSize[1]), UP_DIV(oc_4, mLocalSize[2]));
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OPENGL_CHECK_ERROR;
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}
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2019-06-24 11:32:41 +08:00
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}
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2019-12-27 22:16:57 +08:00
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2019-06-24 11:32:41 +08:00
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return NO_ERROR;
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}
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2019-12-27 22:16:57 +08:00
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2019-07-02 18:01:08 +08:00
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class ReshapeCreator : public GLBackend::Creator {
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public:
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virtual ~ReshapeCreator() = default;
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virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs,
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const MNN::Op *op, Backend *backend) const override {
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2019-12-27 22:16:57 +08:00
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2019-07-02 18:01:08 +08:00
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if(inputs[0]->dimensions() == 3 || outputs[0]->dimensions() == 3){
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MNN_PRINT("reshape not support dimensions == 3 \n");
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return nullptr;
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}
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return new GLReshape(inputs, op, backend);
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}
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};
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GLCreatorRegister<ReshapeCreator> __reshape_op(OpType_Reshape);
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2019-06-24 11:32:41 +08:00
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} // namespace OpenGL
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} // namespace MNN
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