junrushao1994 commented on issue #16188: symbol.contrib.cond does not support some built-in operators URL: https://github.com/apache/incubator-mxnet/issues/16188#issuecomment-532882599 A workaround would be: ```python import mxnet as mx from mxnet import nd, autograd, gluon class MLP(gluon.HybridBlock): def __init__(self, **kwargs): super(MLP, self).__init__(**kwargs) with self.name_scope(): self.dense1 = gluon.nn.Dense(1, in_units=1) def hybrid_forward(self, F, x, zero): # `zero` is an ndarray that contains only zero, so `round(x) + relu(zero)` is always `round(x)` cond_out = F.contrib.cond(F.ones(1) == F.ones(1), lambda: self.dense1(x), lambda: F.round(x) + F.relu(zero)) return cond_out ```
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