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[AUTOGENERATED] [release/2.7] [rocm6.4_internal_testing] Replaced ROCm specific skips to generalized conditions #2126

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Merged
merged 2 commits into from
May 29, 2025
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[AUTOGENERATED] [release/2.7] [rocm6.4_internal_testing] Replaced ROCm specific skips to generalized conditions #2126

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9b274d0
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iupaikov-amd May 12, 2025
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iupaikov-amd May 13, 2025
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13 changes: 8 additions & 5 deletions test/inductor/test_aot_inductor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,11 @@
from torch.export import Dim, export, export_for_training
from torch.testing import FileCheck
from torch.testing._internal import common_utils
from torch.testing._internal.common_cuda import PLATFORM_SUPPORTS_FP8, SM80OrLater
from torch.testing._internal.common_cuda import (
SM80OrLater,
SM90OrLater,
PLATFORM_SUPPORTS_FLASH_ATTENTION
)
from torch.testing._internal.common_device_type import (
_has_sufficient_memory,
skipCUDAIf,
Expand Down Expand Up @@ -1008,6 +1012,7 @@ def forward(self, q, k, v):

@unittest.skipIf(IS_FBCODE, "Not yet runnable in fbcode")
@unittest.skipIf(not SM80OrLater, "bfloat16 only supported in sm80+")
@unittest.skipIf(not PLATFORM_SUPPORTS_FLASH_ATTENTION, "Some archs don't support SDPA")
def test_sdpa_2(self):
class Model(torch.nn.Module):
def __init__(self) -> None:
Expand Down Expand Up @@ -1114,9 +1119,8 @@ def forward(self, x, y):
)
self.check_model(Repro(), example_inputs)

@skipIfRocmArch(NAVI32_ARCH)
# SDPA is not supported on navi32 arch
@skipIfXpu(msg="_scaled_dot_product_flash_attention is not supported on XPU yet")
@unittest.skipIf(not PLATFORM_SUPPORTS_FLASH_ATTENTION, "Some archs don't support SDPA")
def test_fallback_kernel_with_symexpr_output(self):
if self.device != GPU_TYPE:
raise unittest.SkipTest("requires GPU")
Expand Down Expand Up @@ -3328,8 +3332,7 @@ def grid(meta):
dynamic_shapes=dynamic_shapes,
)

@skipIfRocmArch(NAVI32_ARCH)
# SDPA is not supported on navi32 arch
@unittest.skipIf(not PLATFORM_SUPPORTS_FLASH_ATTENTION, "Some archs don't support SDPA")
def test_scaled_dot_product_efficient_attention(self):
if self.device != GPU_TYPE:
raise unittest.SkipTest("requires GPU")
Expand Down