对Pytorch 添加多卡训练支持 #55
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…orward().shape(0) is batch_size otherwise it's difficult to change code for multipgpu
…e recognizing uppercase letter to uppercase + lowercase
在forward() 里面，LSTM之前的shape跟作者保持一致，不然训练不出来。
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I'm a little late to the party, but I noticed you all aren't using a notebook review tool and wanted to invite you to review this pull request with GitNotebooks: https://gitnotebooks.com/ypwhs/captcha_break/pull/55 It lets you do things like comment on rendered markdown and code cells, so might be an easy win for your PR reviews. |
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修改说明
修改1
module.forward() 返回值维度第一个最好是batch
也就是说
在计算ctc_loss 的时候再改回来。
不然多卡训练会失败，如果要使用DataParallel就必须这样做
修改2. 添加DataDistributed支持
文件ctc_pytorch_multigpu.py。 在这里我修改了