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update

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This commit is contained in:
DN6
2025-07-24 22:18:15 +05:30
parent 39be374591
commit 3aabef5de4
1 changed files with 16 additions and 6 deletions
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22
tests/modular_pipelines/test_modular_pipelines_common.py
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@@ -143,9 +143,9 @@ class ModularPipelineTesterMixin:
def _check_for_parameters(parameters, expected_parameters, param_type):
remaining_parameters = {param for param in parameters if param not in expected_parameters}
assert len(remaining_parameters) == 0, (
f"Required {param_type} parameters not present: {remaining_parameters}"
)
assert (
len(remaining_parameters) == 0
), f"Required {param_type} parameters not present: {remaining_parameters}"
_check_for_parameters(self.params, input_parameters, "input")
_check_for_parameters(self.intermediate_params, intermediate_parameters, "intermediate")
@@ -274,9 +274,9 @@ class ModularPipelineTesterMixin:
model_devices = [
component.device.type for component in pipe.components.values() if hasattr(component, "device")
]
assert all(device == torch_device for device in model_devices), (
"All pipeline components are not on accelerator device"
)
assert all(
device == torch_device for device in model_devices
), "All pipeline components are not on accelerator device"
def test_inference_is_not_nan_cpu(self):
pipe = self.get_pipeline()
@@ -318,3 +318,13 @@ class ModularPipelineTesterMixin:
images = pipe(**inputs, num_images_per_prompt=num_images_per_prompt, output="images")
assert images.shape[0] == batch_size * num_images_per_prompt
@require_accelerator
def test_components_auto_cpu_offload(self):
base_pipe = self.get_pipeline().to(torch_device)
for component in base_pipe.components:
assert component.device == torch_device
cm = ComponentsManager()
cm.enable_auto_cpu_offload(device=torch_device)
offload_pipe = self.get_pipeline(components_manager=cm)