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enable quantcompile test on xpu #11988

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Merged
merged 2 commits into from
Jul 28, 2025
Merged

enable quantcompile test on xpu #11988

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6f91977
enable quantcompile test on xpu
yao-matrix Jul 24, 2025
f5af5af
Merge branch 'main' into xpu
yao-matrix Jul 28, 2025
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10 changes: 5 additions & 5 deletions tests/quantization/test_torch_compile_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,10 +18,10 @@
import torch

from diffusers import DiffusionPipeline
from diffusers.utils.testing_utils import backend_empty_cache, require_torch_gpu, slow, torch_device
from diffusers.utils.testing_utils import backend_empty_cache, require_torch_accelerator, slow, torch_device


@require_torch_gpu
@require_torch_accelerator
@slow
class QuantCompileTests:
@property
Expand Down Expand Up @@ -51,7 +51,7 @@ def _init_pipeline(self, quantization_config, torch_dtype):
return pipe

def _test_torch_compile(self, torch_dtype=torch.bfloat16):
pipe = self._init_pipeline(self.quantization_config, torch_dtype).to("cuda")
pipe = self._init_pipeline(self.quantization_config, torch_dtype).to(torch_device)
# `fullgraph=True` ensures no graph breaks
pipe.transformer.compile(fullgraph=True)

Expand All @@ -71,7 +71,7 @@ def _test_torch_compile_with_group_offload_leaf(self, torch_dtype=torch.bfloat16

pipe = self._init_pipeline(self.quantization_config, torch_dtype)
group_offload_kwargs = {
"onload_device": torch.device("cuda"),
"onload_device": torch.device(torch_device),
"offload_device": torch.device("cpu"),
"offload_type": "leaf_level",
"use_stream": use_stream,
Expand All @@ -81,7 +81,7 @@ def _test_torch_compile_with_group_offload_leaf(self, torch_dtype=torch.bfloat16
for name, component in pipe.components.items():
if name != "transformer" and isinstance(component, torch.nn.Module):
if torch.device(component.device).type == "cpu":
component.to("cuda")
component.to(torch_device)

# small resolutions to ensure speedy execution.
pipe("a dog", num_inference_steps=2, max_sequence_length=16, height=256, width=256)
Expand Down
4 changes: 2 additions & 2 deletions tests/quantization/torchao/test_torchao.py
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Expand Up @@ -236,7 +236,7 @@ def test_quantization(self):
("uint7wo", np.array([0.4648, 0.5195, 0.5547, 0.4219, 0.4414, 0.6445, 0.4316, 0.4531, 0.5625])),
]

if TorchAoConfig._is_cuda_capability_atleast_8_9():
if TorchAoConfig._is_xpu_or_cuda_capability_atleast_8_9():
QUANTIZATION_TYPES_TO_TEST.extend([
("float8wo_e5m2", np.array([0.4590, 0.5273, 0.5547, 0.4219, 0.4375, 0.6406, 0.4316, 0.4512, 0.5625])),
("float8wo_e4m3", np.array([0.4648, 0.5234, 0.5547, 0.4219, 0.4414, 0.6406, 0.4316, 0.4531, 0.5625])),
Expand Down Expand Up @@ -753,7 +753,7 @@ def test_quantization(self):
("int8dq", np.array([0.0546, 0.0761, 0.1386, 0.0488, 0.0644, 0.1425, 0.0605, 0.0742, 0.1406, 0.0625, 0.0722, 0.1523, 0.0625, 0.0742, 0.1503, 0.0605, 0.3886, 0.7968, 0.5507, 0.4492, 0.7890, 0.5351, 0.4316, 0.8007, 0.5390, 0.4179, 0.8281, 0.5820, 0.4531, 0.7812, 0.5703, 0.4921])),
]

if TorchAoConfig._is_cuda_capability_atleast_8_9():
if TorchAoConfig._is_xpu_or_cuda_capability_atleast_8_9():
QUANTIZATION_TYPES_TO_TEST.extend([
("float8wo_e4m3", np.array([0.0546, 0.0722, 0.1328, 0.0468, 0.0585, 0.1367, 0.0605, 0.0703, 0.1328, 0.0625, 0.0703, 0.1445, 0.0585, 0.0703, 0.1406, 0.0605, 0.3496, 0.7109, 0.4843, 0.4042, 0.7226, 0.5000, 0.4160, 0.7031, 0.4824, 0.3886, 0.6757, 0.4667, 0.3710, 0.6679, 0.4902, 0.4238])),
("fp5_e3m1", np.array([0.0527, 0.0762, 0.1309, 0.0449, 0.0645, 0.1328, 0.0566, 0.0723, 0.125, 0.0566, 0.0703, 0.1328, 0.0566, 0.0742, 0.1348, 0.0566, 0.3633, 0.7617, 0.5273, 0.4277, 0.7891, 0.5469, 0.4375, 0.8008, 0.5586, 0.4336, 0.7383, 0.5156, 0.3906, 0.6992, 0.5156, 0.4375])),
Expand Down
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