lhutton1 commented on a change in pull request #6419:
URL: https://github.com/apache/incubator-tvm/pull/6419#discussion_r484837153
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File path: python/tvm/relay/op/nn/_nn.py
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@@ -157,8 +157,9 @@ def convert_conv2d(attrs, inputs, tinfos, desired_layouts):
return relay.nn.conv2d(data, weight, **new_attrs)
elif desired_data_layout == 'NHWC':
# Check for depthwise convolution.
- if is_depthwise_conv2d(data.shape, attrs['data_layout'], weight.shape,
- attrs['kernel_layout'], attrs['groups']):
+ if is_depthwise_conv2d(data.checked_type.shape, attrs['data_layout'],
Review comment:
I think it's ok to leave without an assert, getting `checked_type` will
result in a check for its existence. See:
https://github.com/apache/incubator-tvm/blob/0465ffda26a4e9d64944f01b33b566b6663d3afe/python/tvm/ir/expr.py#L49
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