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fixing pytest skip for only test_floatx.py #1251

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Merged
merged 1 commit into from
Nov 8, 2024
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fixing pytest skip for only test_floatx.py #1251

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9 changes: 5 additions & 4 deletions test/dtypes/test_floatx.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
import copy

import pytest
import unittest
import torch
from torch.testing._internal.common_utils import (
TestCase,
Expand Down Expand Up @@ -70,7 +71,7 @@ def test_from_scaled_tc_floatx_compile(self, ebits, mbits, device):
actual = torch.compile(from_scaled_tc_floatx, fullgraph=True)(x, ebits, mbits, scale)
torch.testing.assert_close(actual, expected)

@pytest.mark.skipif(not torch.cuda.is_available(), reason="CUDA not available")
@unittest.skipIf(not torch.cuda.is_available(), reason="CUDA not available")
@parametrize("ebits,mbits", _Floatx_DTYPES)
def test_to_copy_device(self, ebits, mbits):
from torchao.quantization.quant_primitives import (
Expand All @@ -87,12 +88,12 @@ def test_to_copy_device(self, ebits, mbits):
floatx_tensor_impl = floatx_tensor_impl.cpu()
assert floatx_tensor_impl.device.type == "cpu"

@pytest.mark.skipif(not torch.cuda.is_available(), reason="CUDA not available")
@pytest.mark.skipif(not TORCH_VERSION_AT_LEAST_2_5, reason="quantization only works with torch.compile for 2.5+")
@unittest.skipIf(not torch.cuda.is_available(), reason="CUDA not available")
@unittest.skipIf(not TORCH_VERSION_AT_LEAST_2_5, reason="quantization only works with torch.compile for 2.5+")
@parametrize("ebits,mbits", _Floatx_DTYPES)
@parametrize("bias", [False, True])
@parametrize("dtype", [torch.half, torch.bfloat16])
@pytest.mark.skipif(is_fbcode(), reason="broken in fbcode")
@unittest.skipIf(is_fbcode(), reason="broken in fbcode")
def test_fpx_weight_only(self, ebits, mbits, bias, dtype):
N, OC, IC = 4, 256, 64
device = "cuda"
Expand Down
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