def add_nnz_(src: SparseTensor, other: torch.Tensor,
layout: Optional[str] = None) -> SparseTensor:
value = src.storage.value()
if value is not None:
value = value.add_(other.to(value.dtype))
else:
value = other.add(1)
return src.set_value_(value, layout=layout)
def add_(src: SparseTensor, other: torch.Tensor) -> SparseTensor:
rowptr, col, value = src.csr()
if other.size(0) == src.size(0) and other.size(1) == 1: # Row-wise.
other = gather_csr(other.squeeze(1), rowptr)
elif other.size(0) == 1 and other.size(1) == src.size(1): # Col-wise.
other = other.squeeze(0)[col]
else:
raise ValueError(
f'Size mismatch: Expected size ({src.size(0)}, 1, ...) or '
f'(1, {src.size(1)}, ...), but got size {other.size()}.')
if value is not None:
value = value.add_(other.to(value.dtype))
else:
value = other.add_(1)
return src.set_value_(value, layout='coo')
def test_cat(device):
row, col = tensor([[0, 0, 1], [0, 1, 2]], torch.long, device)
mat1 = SparseTensor(row=row, col=col)
mat1.fill_cache_()
row, col = tensor([[0, 0, 1, 2], [0, 1, 1, 0]], torch.long, device)
mat2 = SparseTensor(row=row, col=col)
mat2.fill_cache_()
out = cat([mat1, mat2], dim=0)
assert out.to_dense().tolist() == [[1, 1, 0], [0, 0, 1], [1, 1, 0],
[0, 1, 0], [1, 0, 0]]
assert out.storage.has_row()
assert out.storage.has_rowptr()
assert out.storage.has_rowcount()
assert out.storage.num_cached_keys() == 1
out = cat([mat1, mat2], dim=1)
assert out.to_dense().tolist() == [[1, 1, 0, 1, 1], [0, 0, 1, 0, 1],
[0, 0, 0, 1, 0]]
assert out.storage.has_row()
assert not out.storage.has_rowptr()
assert out.storage.num_cached_keys() == 2
out = cat([mat1, mat2], dim=(0, 1))
assert out.to_dense().tolist() == [[1, 1, 0, 0, 0], [0, 0, 1, 0, 0],
[0, 0, 0, 1, 1], [0, 0, 0, 0, 1],
[0, 0, 0, 1, 0]]
assert out.storage.has_row()
assert out.storage.has_rowptr()
assert out.storage.num_cached_keys() == 5
value = torch.randn((mat1.nnz(), 4), device=device)
mat1 = mat1.set_value_(value, layout='coo')
out = cat([mat1, mat1], dim=-1)
assert out.storage.value().size() == (mat1.nnz(), 8)
assert out.storage.has_row()
assert out.storage.has_rowptr()
assert out.storage.num_cached_keys() == 5