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[cuDNN][TF32] Account for TF32 in test_super_resolution_cuda (#161662)

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cuDNN seems to be dispatching to TF32 kernels on B200

Pull Request resolved: https://github.com/pytorch/pytorch/pull/161662
Approved by: https://github.com/Skylion007
This commit is contained in:
Eddie Yan
2025-08-28 08:42:30 +00:00
committed by PyTorch MergeBot
parent 196232bb93
commit 2e77a08b95
1 changed files with 2 additions and 0 deletions
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test/jit/test_models.py
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@ -7,6 +7,7 @@ import unittest
import torch import torch
import torch.nn as nn import torch.nn as nn
import torch.nn.functional as F import torch.nn.functional as F
from torch.testing._internal.common_cuda import tf32_on_and_off
from torch.testing._internal.common_utils import ( from torch.testing._internal.common_utils import (
enable_profiling_mode_for_profiling_tests, enable_profiling_mode_for_profiling_tests,
GRAPH_EXECUTOR, GRAPH_EXECUTOR,
@ -482,6 +483,7 @@ class TestModels(JitTestCase):
self._test_super_resolution(self, device="cpu") self._test_super_resolution(self, device="cpu")
@unittest.skipIf(not RUN_CUDA, "no CUDA") @unittest.skipIf(not RUN_CUDA, "no CUDA")
@tf32_on_and_off(0.02)
def test_super_resolution_cuda(self): def test_super_resolution_cuda(self):
# XXX: export_import on CUDA modules doesn't work (#11480) # XXX: export_import on CUDA modules doesn't work (#11480)
self._test_super_resolution(self, device="cuda", check_export_import=False) self._test_super_resolution(self, device="cuda", check_export_import=False)