File: TestSparseMeta.test_print_meta_SparseCOO_float64.expect

package info (click to toggle)
pytorch-cuda 2.6.0%2Bdfsg-7
  • links: PTS, VCS
  • area: contrib
  • in suites: forky, sid, trixie
  • size: 161,620 kB
  • sloc: python: 1,278,832; cpp: 900,322; ansic: 82,710; asm: 7,754; java: 3,363; sh: 2,811; javascript: 2,443; makefile: 597; ruby: 195; xml: 84; objc: 68
file content (23 lines) | stat: -rw-r--r-- 1,046 bytes parent folder | download | duplicates (3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
########## torch.float64/torch.int64/size=()+(4, 6)+()+() ##########
# sparse meta tensor
tensor(indices=tensor(..., size=(2, 0)),
       values=tensor(..., size=(0,)),
       device='meta', size=(4, 6), dtype=torch.float64, layout=torch.sparse_coo)
########## torch.float64/torch.int64/size=()+(4, 6)+()+(3,) ##########
# sparse meta tensor
tensor(indices=tensor(..., size=(2, 0)),
       values=tensor(..., size=(0, 3)),
       device='meta', size=(4, 6, 3), dtype=torch.float64,
       layout=torch.sparse_coo)
########## torch.float64/torch.int64/size=()+(3, 5, 7)+()+() ##########
# sparse meta tensor
tensor(indices=tensor(..., size=(3, 0)),
       values=tensor(..., size=(0,)),
       device='meta', size=(3, 5, 7), dtype=torch.float64,
       layout=torch.sparse_coo)
########## torch.float64/torch.int64/size=()+(3, 5, 7)+()+(3,) ##########
# sparse meta tensor
tensor(indices=tensor(..., size=(3, 0)),
       values=tensor(..., size=(0, 3)),
       device='meta', size=(3, 5, 7, 3), dtype=torch.float64,
       layout=torch.sparse_coo)