Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

enable qbitstensor test on xpu #350

Merged
merged 1 commit into from
Nov 12, 2024
Merged

enable qbitstensor test on xpu #350

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 8 additions & 3 deletions test/tensor/weights/test_weight_qbits_tensor_dispatch.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -73,15 +73,20 @@ def test_weight_qbits_tensor_linear(dtype, batch_size, tokens, in_features, out_
check_weight_qtensor_linear(qbt, batch_size, tokens, use_bias)


@pytest.mark.skipif(not torch.cuda.is_available(), reason="Test is too slow on non-CUDA devices")
@pytest.mark.parametrize("dtype", [torch.float16, torch.bfloat16], ids=["fp16", "bf16"])
@pytest.mark.parametrize("batch_size", [1, 2])
@pytest.mark.parametrize("tokens", [16, 32, 48, 64])
@pytest.mark.parametrize("in_features", [1024, 4096, 16384])
@pytest.mark.parametrize("out_features", [1024, 2048, 4096])
@pytest.mark.parametrize("use_bias", [True, False], ids=["bias", "no-bias"])
def test_weight_qbits_tensor_linear_cuda(dtype, batch_size, tokens, in_features, out_features, use_bias):
device = torch.device("cuda")
def test_weight_qbits_tensor_linear_gpu(dtype, batch_size, tokens, in_features, out_features, use_bias):
if torch.cuda.is_available():
device = torch.device("cuda")
elif torch.xpu.is_available():
device = torch.device("xpu")
else:
pytest.skip(reason="Test is too slow on non-GPU devices")

weight_qtype = qint4
group_size = 128
# Create a QBitsTensor
Expand Down
Loading