reminisce edited a comment on issue #14954: broadcast_to() behavior change after new 0D and uninitialized shape support added? URL: https://github.com/apache/incubator-mxnet/issues/14954#issuecomment-493793725 @DickJC123 Sorry for the late reply and thanks for the analysis and suggestion. I agree with what you proposed up there. The ndarrays in memory in the backend are indeed as what you described, i.e. -1 means unknown, 0 means known zero size, etc. The conversion to numpy shape in the NDArray's Save function was somehow missed to be implemented. Would you mind submitting a fix or if you are busy, I can take care of it? Thanks. Another question on side, since zero-size tensors cannot be digested by any operators in MXNet without numpy compatibility mode, what's the purpose of saving zero-size tensors in sockeye's tests?
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