| @@ -15,3 +15,22 @@ def test_sparse_diag_cat_01(): | |||||
| res = _sparse_diag_cat([ m.to_sparse() for m in matrices ]) | res = _sparse_diag_cat([ m.to_sparse() for m in matrices ]) | ||||
| res = res.to_dense() | res = res.to_dense() | ||||
| assert torch.all(res == ground_truth) | assert torch.all(res == ground_truth) | ||||
| def test_sparse_diag_cat_02(): | |||||
| x = [ torch.rand(5, 10).round() for _ in range(7) ] | |||||
| a = [ m.to_sparse() for m in x ] | |||||
| a = _sparse_diag_cat(a) | |||||
| b = torch.rand(70, 64) | |||||
| res = torch.sparse.mm(a, b) | |||||
| ground_truth = torch.zeros(35, 64) | |||||
| ground_truth[0:5, :] = torch.mm(x[0], b[0:10]) | |||||
| ground_truth[5:10, :] = torch.mm(x[1], b[10:20]) | |||||
| ground_truth[10:15, :] = torch.mm(x[2], b[20:30]) | |||||
| ground_truth[15:20, :] = torch.mm(x[3], b[30:40]) | |||||
| ground_truth[20:25, :] = torch.mm(x[4], b[40:50]) | |||||
| ground_truth[25:30, :] = torch.mm(x[5], b[50:60]) | |||||
| ground_truth[30:35, :] = torch.mm(x[6], b[60:70]) | |||||
| assert torch.all(res == ground_truth) | |||||