mirror of https://github.com/alibaba/MNN.git
73ad3413cc
- 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 |
||
|---|---|---|
| .. | ||
| avgpool.glsl | ||
| binary.glsl | ||
| blit.glsl | ||
| clear_texture.glsl | ||
| col2im.glsl | ||
| converter.glsl | ||
| convlutionDepthwise.glsl | ||
| convolution.glsl | ||
| convolution1x1.glsl | ||
| eltwise.glsl | ||
| gemm16x16.glsl | ||
| im2col.glsl | ||
| im2col1x1.glsl | ||
| image_copy.glsl | ||
| image_to_nc4hw4_buffer.glsl | ||
| image_to_nchw_buffer.glsl | ||
| image_to_nhwc_buffer.glsl | ||
| kernel2ImageDepthwise.glsl | ||
| kernel2image.glsl | ||
| kernel2image_adreno.glsl | ||
| maxpool.glsl | ||
| nc4hw4_buffer_to_image.glsl | ||
| nchw_buffer_to_image.glsl | ||
| nhwc_buffer_to_image.glsl | ||
| permute.glsl | ||
| preluWithChannel.glsl | ||
| relu.glsl | ||
| resizeBilinear.glsl | ||
| resizeNearest.glsl | ||
| roiPooling.glsl | ||
| softmaxChannel.glsl | ||
| softmaxHeight.glsl | ||
| softmaxWidth.glsl | ||
| unary.glsl | ||