9 Commits

Author	SHA1	Message	Date
xiaying	03c7b5347b	[MNN:Sync] Sync internal Gitlab	2021-09-18 15:52:30 +08:00
Hui Shu	d6795ad031	Github release 1.1.0	2020-11-05 16:49:17 +08:00
xiaying	bf6285a178	[MNN:Sync] Sync internal github	2020-04-29 10:12:16 +08:00
xiaying	d4c23b992b	[PATCH 07/17] [MNN:Bugfix] Fix bug for ShapeArgMax's utf-code	2020-04-13 13:08:05 +08:00
海境	90e06944db	Update	2020-02-26 09:57:17 +08:00
Zhang	002ac367e4	Update	2019-12-27 22:16:57 +08:00
liqing	73ad3413cc	- 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
liqing	b995b25db9	beta 0.2.0.8 ... - add NaN check-up - add quantification support for ScaleAdd Op - add binary to eltwise optimization - add console logs for quantization tool - better document for quantization tool - replace redundant dimension flags with dimension format - optimize performance of TensorFlow Lite Quantized Convolution - fix axis support for ONNX softmax - fix get performance compile error on Windows	2019-08-22 20:13:46 +08:00
liqing	5551108af8	beta 0.1.0	2019-04-19 20:50:09 +08:00