zheng-da opened a new issue #10689: MXNet conv should check the number of elements in strides, padding, etc. URL: https://github.com/apache/incubator-mxnet/issues/10689 MXNet conv doesn't check the number of elements in strides, padding, etc. Below is the code from @anirudh2290 that generates the bug. ```python import mxnet as mx arr = mx.nd.random.uniform(shape=(10, 10, 32, 32)) weight1 = mx.nd.random.uniform(shape=(10, 10, 3, 3)) arr1 = mx.nd.Convolution(data=arr, weight=weight1, no_bias=True, kernel=(3, 3), stride=(1), num_filter=10) arr2 = mx.nd.Convolution(data=arr, weight=weight1, no_bias=True, kernel=(3, 3), stride=(1, 1), num_filter=10) print((arr1 == arr2).asnumpy().sum()) ``` This outputs 2616.0, while we expect 3000 because the output shape is (10L, 10L, 30L, 1L).
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