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fixing torchao rocm ci test #2789

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Merged
merged 3 commits into from
Aug 18, 2025
Merged

fixing torchao rocm ci test #2789

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68d8585
fixing torchao rocm ci test
liangel-02 Aug 18, 2025
6c99110
formatting
liangel-02 Aug 18, 2025
7832a99
add to other tests
liangel-02 Aug 18, 2025
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4 changes: 4 additions & 0 deletions test/quantization/quantize_/workflows/int4/test_int4_marlin_sparse_tensor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,7 @@
)
from torchao.quantization.utils import compute_error
from torchao.sparsity.sparse_api import apply_fake_sparsity
from torchao.testing.utils import skip_if_rocm
from torchao.utils import (
TORCH_VERSION_AT_LEAST_2_8,
)
Expand All @@ -38,6 +39,7 @@ class TestInt4MarlinSparseTensor(TestCase):
def setUp(self):
self.GPU_DEVICES = ["cuda"] if torch.cuda.is_available() else []

@skip_if_rocm("ROCm enablement in progress")
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Will it also fail in test_to_device? Maybe need to add it there too? (or move the skip to the class itself)

@parametrize("config", [BF16_ACT_CONFIG])
@parametrize(
"sizes",
Expand Down Expand Up @@ -65,6 +67,7 @@ def test_linear(self, config, sizes):
quantized_and_compiled = compiled_linear(input)
self.assertTrue(compute_error(original, quantized_and_compiled) > 20)

@skip_if_rocm("ROCm enablement in progress")
@unittest.skip("Fix later")
@parametrize("config", [BF16_ACT_CONFIG])
def test_to_device(self, config):
Expand All @@ -81,6 +84,7 @@ def test_to_device(self, config):
quantize_(linear, config)
linear.to(device)

@skip_if_rocm("ROCm enablement in progress")
@parametrize("config", [BF16_ACT_CONFIG])
def test_module_path(self, config):
linear = torch.nn.Linear(128, 256, dtype=torch.bfloat16)
Expand Down
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