frozenleaves/pytorch
1
0
Fork 0
mirror of https://github.com/pytorch/pytorch.git synced 2025-10-20 12:54:11 +08:00
Code Issues Packages Projects Releases Wiki Activity

Enable batch samples in sparse tests (#164677)

Browse Source 
The test cases are enabled because the issue was fixed.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164677
Approved by: https://github.com/albanD
This commit is contained in:
Yuanyuan Chen
2025-10-07 15:58:33 +00:00
committed by PyTorch MergeBot
parent ab01a0d7d3
commit ee5389d520
1 changed files with 0 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
test/test_sparse.py
View File

@ -4913,9 +4913,6 @@ class TestSparseAny(TestCase):
lambda i, v, sz: cnstr(i, v, sz, **kwargs_).to_dense(masked_grad=masked),
args_, masked=masked)
else:
if layout in {torch.sparse_csc, torch.sparse_bsr, torch.sparse_bsc} and 0:
# TODO: remove this if-block after gh-107370 is resolved
continue
torch.autograd.gradcheck(
lambda ci, pi, v: cnstr(ci, pi, v, **kwargs).to_dense(masked_grad=masked),
args, masked=masked)
@ -5494,7 +5491,6 @@ class TestSparseAny(TestCase):
layout, device=device, dtype=torch.float64,
enable_zero_sized=False, # pinning zero-sized tensors is a no-op
pin_memory=True,
enable_batch=False, # TODO: remove after gh-104868 is resolved
):
if layout is torch.sparse_coo:
self.assertTrue(t._indices().is_pinned())
@ -5524,7 +5520,6 @@ class TestSparseAny(TestCase):
layout, device=device, dtype=torch.float64,
enable_zero_sized=False, # pinning zero-sized tensors is a no-op
pin_memory=False, # no pinning
enable_batch=False, # TODO: remove after gh-104868 is resolved
):
t = t_.pin_memory()
self.assertTrue(t.is_pinned())
@ -5575,7 +5570,6 @@ class TestSparseAny(TestCase):
enable_zero_sized=False, # pinning zero-sized tensors is a no-op
pin_memory=None, # constructor does not specify pin_memory=...
members_pin_memory=True, # indices and values are pinned
enable_batch=False, # TODO: remove after gh-104868 is resolved
):
if layout is torch.sparse_coo:
self.assertTrue(t._indices().is_pinned())
@ -5613,7 +5607,6 @@ class TestSparseAny(TestCase):
for args, kwargs in self.generate_simple_inputs(
layout, device=device, dtype=torch.float64,
enable_zero_sized=False, # pinning zero-sized tensors is a no-op
enable_batch=False, # TODO: remove after gh-104868 is resolved
output_tensor=False):
# indices are pinned, values is a non-pinned tensor