pytorch

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########## torch.float64/torch.int64/size=()+(4, 6)+(2, 3)+() ##########
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# sparse meta tensor
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tensor(ccol_indices=tensor(..., size=(3,)),
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       row_indices=tensor(..., size=(0,)),
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       values=tensor(..., size=(0, 2, 3)), device='meta', size=(4, 6),
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       dtype=torch.float64, layout=torch.sparse_bsc)
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########## torch.float64/torch.int64/size=()+(4, 6)+(2, 3)+(3,) ##########
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# sparse meta tensor
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tensor(ccol_indices=tensor(..., size=(3,)),
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       row_indices=tensor(..., size=(0,)),
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       values=tensor(..., size=(0, 2, 3, 3)), device='meta', size=(4, 6, 3),
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       dtype=torch.float64, layout=torch.sparse_bsc)
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########## torch.float64/torch.int64/size=(2,)+(4, 6)+(2, 3)+() ##########
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# sparse meta tensor
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tensor(ccol_indices=tensor(..., size=(2, 3)),
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       row_indices=tensor(..., size=(2, 0)),
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       values=tensor(..., size=(2, 0, 2, 3)), device='meta', size=(2, 4, 6),
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       dtype=torch.float64, layout=torch.sparse_bsc)
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########## torch.float64/torch.int64/size=(2,)+(4, 6)+(2, 3)+(3,) ##########
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# sparse meta tensor
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tensor(ccol_indices=tensor(..., size=(2, 3)),
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       row_indices=tensor(..., size=(2, 0)),
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       values=tensor(..., size=(2, 0, 2, 3, 3)), device='meta',
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       size=(2, 4, 6, 3), dtype=torch.float64, layout=torch.sparse_bsc)