chrishkchris commented on a change in pull request #468: Distributted module URL: https://github.com/apache/incubator-singa/pull/468#discussion_r317527518
########## File path: python/singa/autograd.py ########## @@ -1286,25 +1287,26 @@ def set_params(self, **parameters): class _BatchNorm2d(Operation): - def __init__(self, handle, name=None): + def __init__(self, handle, running_mean, running_var, name=None): super(_BatchNorm2d, self).__init__(name) self.handle = handle + self.running_mean = running_mean.data + self.running_var = running_var.data - def forward(self, x, scale, bias, running_mean, running_var): - self.running_mean = running_mean - self.running_var = running_var + def forward(self, x, scale, bias): if training: if isinstance(self.handle, singa.CudnnBatchNormHandle): y, mean, var = singa.GpuBatchNormForwardTraining( - self.handle, x, scale, bias, running_mean, running_var + self.handle, x, scale, bias, self.running_mean, self.running_var Review comment: added the cpu test of conv2d and batchnorm2d in test_operation.py and passed, but still waiting for the cifar10 training accuracy test ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services