aseyboldt commented on issue #8133: Infer_shape_partial for rank 0 arrays URL: https://github.com/apache/incubator-mxnet/issues/8133#issuecomment-333958354 That explains a lot :-) However `ndarray` does allow scalars: ```python >>> a = mx.nd.ones(()) >>> a.shape () >>> a.size 1 >>> a.asnumpy() array(1.0, dtype=float32) >>> mx.nd.ones((1,)).asnumpy() array([ 1.], dtype=float32) ``` This seems to lead to the invalid memory access in the example above (which by the way I think is a serious bug). I feel bad about criticising someone else's project after using it for only a couple of days, but I have to admit it is pretty much beyond me why you would design a tensor library without the concept of a scalar. :sweat_smile: ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on 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
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