Enhancement

• 使用 MegEngine 的随机分布生成函数替换 numpy，加速参数初始化

Bug Fix

• element-wise 函数增加数值输入参数的支持
• collator挪到data_collection_process里，在divide模式下不用额外写collate的逻辑
• 移除_ParallelDataLoaderIter内部的strict属性，在任意worker发生异常时可直接抛出异常
• 内部的随机数由np.random.RandomState替换成megengine.randon.rng模块生成，保证数据供给的可复现性
• 修改 load_and run README.md 的内部代码，提供 xornet.py 示例
• 修复 ImageNet 解压错误
• 修复 python3.7下多进程报错的问题[TypeError: can’t pickle weakref objects]
• 修复 InternalGraphGenerator 拼写错误
• 修复 batchnorm、loss、tranform、tensor API文档问题

Enhancement

• Speed up parameter initialization by using MegEngine's random distribution generator function instead of NumPy.

BugFix

• support scalar inputs in element-wise functions
• Remove internal codes in README.md and add missed example file xornet.py
• Move collator to data_collection_process, no need to write additional collate in divide mode
• Remove the strict attribute inside _ParallelDataLoaderIter, and throw an exception directly when any worker exception occurs
• The random number generation module is replaced by np.random.RandomState to megengine.randon.rng to ensure the reproducibility of data supply
• Fix imagenet extraction error
• Fix DataLoader error for Multi-process under python3.7
• Fix typo InternalGraphGenerator
• Fix docstring for batchnorm、loss、tranform、tensor