Change customize_loss_grad to use_default_grad_scale.
#10223
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panyx0718
previously approved these changes
Apr 26, 2018
| @@ -46,6 +46,10 @@ def __init__(self, | |||
| improve performance in some cases, defalut False. | |||
| share_vars_from(ParallelExecutor, default None): If provied, | |||
| it will share variables from the specified ParallelExecutor. | |||
| use_default_grad_scale(bool, default True): If set True, a default | |||
| scale value equal to `1./device_count` would be multiplied to | |||
| the gradients. Otherwise, a customized scale value should be | |||
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to gradients of each device? and then aggregated?
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Thanks, followed the comment.
| use_default_grad_scale(bool, default True): If set True, a default | ||
| scale value equal to `1./device_count` would be multiplied to | ||
| the gradients. Otherwise, a customized scale value should be | ||
| feeded to the network. |
pkuyym
commented
Apr 26, 2018
| use_default_grad_scale(bool, default True): If set True, a default | ||
| scale value equal to `1./device_count` would be multiplied to | ||
| the gradients. Otherwise, a customized scale value should be | ||
| feeded to the network. |
| @@ -46,6 +46,10 @@ def __init__(self, | |||
| improve performance in some cases, defalut False. | |||
| share_vars_from(ParallelExecutor, default None): If provied, | |||
| it will share variables from the specified ParallelExecutor. | |||
| use_default_grad_scale(bool, default True): If set True, a default | |||
| scale value equal to `1./device_count` would be multiplied to | |||
| the gradients. Otherwise, a customized scale value should be | |||
There was a problem hiding this comment.
Thanks, followed the comment.
panyx0718
approved these changes
May 2, 2018
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Resolves #10219