mirror of
https://github.com/wiltodelta/remove-ai-watermarks.git
synced 2026-10-14 13:30:55 +02:00
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
"""Vision-only photo-classifier export helpers, without the real checkpoint."""
|
|
|
|
from __future__ import annotations
|
|
|
|
import importlib.util
|
|
from pathlib import Path
|
|
from types import SimpleNamespace
|
|
from typing import Any
|
|
|
|
import pytest
|
|
|
|
|
|
def _exporter() -> Any:
|
|
path = Path(__file__).resolve().parents[1] / "scripts" / "export_photo_classify_onnx.py"
|
|
spec = importlib.util.spec_from_file_location("export_photo_classify_onnx", path)
|
|
assert spec is not None
|
|
assert spec.loader is not None
|
|
module = importlib.util.module_from_spec(spec)
|
|
spec.loader.exec_module(module)
|
|
return module
|
|
|
|
|
|
def test_vision_embedding_drops_the_text_tower_and_normalizes() -> None:
|
|
torch = pytest.importorskip("torch")
|
|
|
|
class FakeVision(torch.nn.Module):
|
|
def forward(self, *, pixel_values: Any) -> Any:
|
|
return SimpleNamespace(pooler_output=pixel_values)
|
|
|
|
clip = SimpleNamespace(
|
|
vision_model=FakeVision(),
|
|
visual_projection=torch.nn.Identity(),
|
|
text_model=object(),
|
|
)
|
|
model = _exporter().VisionEmbedding(SimpleNamespace(clip=clip))
|
|
|
|
output = model(torch.tensor([[3.0, 4.0]]))
|
|
|
|
assert set(dict(model.named_children())) == {"vision_model", "visual_projection"}
|
|
assert torch.equal(output, torch.tensor([[0.6, 0.8]]))
|