2019-04-17 10:49:11 +08:00
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//
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// CPUTranspose.hpp
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// MNN
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//
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// Created by MNN on 2018/08/23.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef CPUTranspose_hpp
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#define CPUTranspose_hpp
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2019-12-27 22:16:57 +08:00
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#include "core/Execution.hpp"
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2019-04-17 10:49:11 +08:00
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#include "Type_generated.h"
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namespace MNN {
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class CPUTranspose : public Execution {
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public:
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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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CPUTranspose(Backend *backend, DataType dataType);
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2019-04-17 10:49:11 +08:00
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virtual ~CPUTranspose() = default;
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virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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private:
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DataType permDateType;
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};
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} // namespace MNN
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#endif /* CPUTranspose_hpp */
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