kice commented on issue #9438: MXNet crash while getting output of the network URL: https://github.com/apache/incubator-mxnet/issues/9438#issuecomment-358482719 I think the shape of the output is the same as the one of input. channels = 3 m = 6 r = 6 c = 64 net = MemNet(m=m, r=r, c=c, channels=channels) net.initialize() net.hybridize() data = mx.nd.random_normal(shape=(64, 3, 31, 31)) out = net(data) for i in range(len(out)): print(out[i].shape)
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