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adjust criteria for marigold-intrinsics example on XPU #12290

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Merged
merged 3 commits into from
Sep 9, 2025
Merged

adjust criteria for marigold-intrinsics example on XPU #12290

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1dde777
adjust criteria for XPU
kaixuanliu Sep 5, 2025
8ead4bc
Merge branch 'main' into marigold-intrinsics-ci
kaixuanliu Sep 5, 2025
c1ae082
Merge branch 'main' into marigold-intrinsics-ci
a-r-r-o-w Sep 9, 2025
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67 changes: 64 additions & 3 deletions tests/pipelines/marigold/test_marigold_intrinsics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,7 @@
)

from ...testing_utils import (
Expectations,
backend_empty_cache,
enable_full_determinism,
floats_tensor,
Expand Down Expand Up @@ -416,7 +417,7 @@ def _test_marigold_intrinsics(
expected_slice: np.ndarray = None,
model_id: str = "prs-eth/marigold-iid-appearance-v1-1",
image_url: str = "https://marigoldmonodepth.github.io/images/einstein.jpg",
atol: float = 1e-4,
atol: float = 1e-3,
**pipe_kwargs,
):
from_pretrained_kwargs = {}
Expand Down Expand Up @@ -531,11 +532,41 @@ def test_marigold_intrinsics_einstein_f16_accelerator_G0_S1_P512_E1_B1_M1(self):
)

def test_marigold_intrinsics_einstein_f16_accelerator_G0_S1_P768_E3_B1_M1(self):
expected_slices = Expectations(
{
("xpu", 3): np.array(
[
0.62655,
0.62477,
0.62161,
0.62452,
0.62454,
0.62454,
0.62255,
0.62647,
0.63379,
]
),
("cuda", 7): np.array(
[
0.61572,
0.1377,
0.61182,
0.61426,
0.61377,
0.61426,
0.61279,
0.61572,
0.62354,
]
),
}
)
self._test_marigold_intrinsics(
is_fp16=True,
device=torch_device,
generator_seed=0,
expected_slice=np.array([0.61572, 0.61377, 0.61182, 0.61426, 0.61377, 0.61426, 0.61279, 0.61572, 0.62354]),
expected_slice=expected_slices.get_expectation(),
num_inference_steps=1,
processing_resolution=768,
ensemble_size=3,
Expand All @@ -545,11 +576,41 @@ def test_marigold_intrinsics_einstein_f16_accelerator_G0_S1_P768_E3_B1_M1(self):
)

def test_marigold_intrinsics_einstein_f16_accelerator_G0_S1_P768_E4_B2_M1(self):
expected_slices = Expectations(
{
("xpu", 3): np.array(
[
0.62988,
0.62792,
0.62548,
0.62841,
0.62792,
0.62792,
0.62646,
0.62939,
0.63721,
]
),
("cuda", 7): np.array(
[
0.61914,
0.6167,
0.61475,
0.61719,
0.61719,
0.61768,
0.61572,
0.61914,
0.62695,
]
),
}
)
self._test_marigold_intrinsics(
is_fp16=True,
device=torch_device,
generator_seed=0,
expected_slice=np.array([0.61914, 0.6167, 0.61475, 0.61719, 0.61719, 0.61768, 0.61572, 0.61914, 0.62695]),
expected_slice=expected_slices.get_expectation(),
num_inference_steps=1,
processing_resolution=768,
ensemble_size=4,
Expand Down