sxjscience commented on issue #17638: [Numpy] unknown type_flag=7 URL: https://github.com/apache/incubator-mxnet/issues/17638#issuecomment-589329816 I find it could be further simplified: ```python import mxnet as mx import numpy as np from numpy.testing import assert_allclose from mxnet.gluon import HybridBlock mx.npx.set_np() class Foo(HybridBlock): def __init__(self, prefix=None, params=None): super(Foo, self).__init__(prefix=prefix, params=params) def hybrid_forward(self, F, valid_length): mask = (F.np.ones((10,)) < valid_length).astype(np.float32) return mask foo = Foo() foo.hybridize() out = foo(mx.np.ones((10,), ctx=mx.gpu())) print(out) ```
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