github-featured / alibaba--mnn

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  • 0.2.1.1 d6b00d04f4
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    - build:

    frostbyte_neo 发布于 2019-10-29 05:37:26 +00:00 

    - unify schema building in core and converter;
- add more build script for android;
- add linux build script for python;

    • ops impl:

      • add floor mod support in binary;
      • use eltwise impl in add/max/sub/mul binary for optimization;
      • remove fake double support in cast;
      • fix 5d support for concat;
      • add adjX and adjY support for batch matmul;
      • optimize conv2d back prop filter;
      • add pad mode support for conv3d;
      • fix bug in conv2d & conv depthwise with very small feature map;
      • optimize binary without broacast;
      • add data types support for gather;
      • add gather ND support;
      • use uint8 data type in gather v2;
      • add transpose support for matmul;
      • add matrix band part;
      • add dim != 4 support for padding, reshape & tensor convert;
      • add pad type support for pool3d;
      • make ops based on TensorFlow Lite quantization optional;
      • add all & any support for reduction;
      • use type in parameter as output type in reduction;
      • add int support for unary;
      • add variable weight support for conv2d;
      • fix conv2d depthwise weights initialization;
      • fix type support for transpose;
      • fix grad outputs count for reduce grad and reshape grad;
      • fix priorbox & detection output;
      • fix metal softmax error;

    • python:

      • add runSessionWithCallBackInfo interface;
      • add max nodes limit (1400) for visualization tool;
      • fix save error in python3;
      • align default dim;

    • convert:

      • add extra design for optimization;
      • add more post converting optimizers;
      • add caffe v1 weights blob support;
      • add cast, unary, conv transpose support for onnx model;
      • optimize batchnorm, conv with variable weights, prelu, reshape, slice, upsample for onnx model;
      • add cos/sin/atan/tan support for unary for tensorflow model;
      • add any/all support for reduction for tensorflow model;
      • add elu, conv3d, pool3d support for tensorflow model;
      • optimize argmax, batchnorm, concat, batch to space, conv with variable weights, prelu, slice for tensorflow model;

    • others:

      • fix size computer lock;
      • fix thread pool deadlock;
      • add express & parameters in express;
      • rewrite blitter chooser without static map;
      • add tests for expr;
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