ComfyUI/tests-unit/comfy_test/utils_image_conversion_test.py
2026-07-13 14:39:02 +09:00

37 lines
895 B
Python

import warnings
import numpy as np
import torch
import comfy.utils
def test_image_to_uint8_sanitizes_nonfinite_values_without_runtime_warning():
image = torch.tensor(
[
[
[float("nan"), float("inf"), -float("inf")],
[-1.0, 0.5, 2.0],
]
],
dtype=torch.float32,
)
with warnings.catch_warnings():
warnings.simplefilter("error", RuntimeWarning)
result = comfy.utils.image_to_uint8(image)
assert result.dtype == np.uint8
assert result.tolist() == [[[0, 255, 0], [0, 127, 255]]]
def test_image_to_uint8_does_not_modify_source_tensor():
image = torch.tensor([float("nan"), float("inf"), -float("inf"), 0.5])
comfy.utils.image_to_uint8(image)
assert torch.isnan(image[0])
assert torch.isinf(image[1])
assert torch.isinf(image[2])
assert image[3] == 0.5