tornadomeet commented on issue #9338: why share the same value of class member when using multigpu of HybridBlock, bug? URL: https://github.com/apache/incubator-mxnet/issues/9338#issuecomment-355876605 hello, @szha ?Is ` self.cnt` a parameter instance variable or regular instance variabel? there are may case which using it own class member value independently, such as ```python class ToyBlock(gluon.HybridBlock): """just a toy block for explain inint class member for each device""" def __init__(self): superToyBlock, self).__init__() self._initialized = False def initialize(self, features, F=mx.nd): self._initialized = True if F == mx.nd: idx_vec = F.arange(0, stop=self._N, ctx=features.context) elif F == mx.sym: idx_vec = F.arange(0, stop=self._N) self._eye_matrix = F.stop_gradient(F.broadcast_equal(F.expand_dims(idx_vec, 0), F.expand_dims(idx_vec, 1))) def hybrid_forward(self, F, x): if not self._initialized: self.initialize(features, F) loss = F.mean(F.sqrt(F.maximum(1e-10, 2.0 - 2.0 * F.dot(features, features, transpose_b=True))) - self._eye_matrix) return loss ``` because we want only init `self._eye_matirx` once time, so when `F=mx.nd`, we should know the context advance for initialized(of course we can initialize it every time when do forward()). but when using multi-gpu for training, after forward on gpu0, `self._initialized=True`, then gpu1 will not initialize it's own `self._eye_matrix `.
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