mseth10 commented on issue #19915:
URL:
https://github.com/apache/incubator-mxnet/issues/19915#issuecomment-782790891
The error occurs for the network
```
data1 = mx.sym.Variable('data1', shape=(3, 3, 10, 10), dtype=np.float32)
data2 = mx.sym.Variable('data2', shape=(1, 0, 2, 2))
data3 = mx.sym.sin(data2)
conv = mx.sym.Convolution(data=data1, weight=data3, kernel=(2, 2),
num_filter=1)
return (conv, ['data1'], [(3, 3, 10, 10)])
```
with `simple_bind` during `infer_shape` and is flaky.
@samskalicky Do you think we can change the shape of `data2` from (1,0,2,2)
to (1,3,2,2)? Or is it intended to be inferred during shape inference?
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