ANSHUMAN87 commented on a change in pull request #7308:
URL: https://github.com/apache/tvm/pull/7308#discussion_r561071940
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File path: python/tvm/topi/cuda/sparse.py
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@@ -295,7 +295,14 @@ def is_valid_for_sparse_dense_padded(data, weight_data):
"""
# pylint:disable=invalid-name
warp_size =
int(tvm.target.Target.current(allow_none=False).thread_warp_size)
- m = get_const_tuple(data.checked_type.shape)[1]
+ # If there are multiple alter_ops in a model, the first alteration does not
+ # run type inference for the subsequent ones. In this case, we don't have
+ # the shape information, so we run the inferencer manually.
+ try:
Review comment:
Is it possible to do it without try catch ?
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