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c306cf6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 | from __future__ import annotations
import os
import sys
import tempfile
import types
import unittest
from pathlib import Path
from types import SimpleNamespace
from unittest.mock import Mock, patch
from satquery_agent.satquery_vision_encoder import (
OPENCLIP_IMAGE_INTERPOLATION,
OPENCLIP_IMAGE_MEAN,
OPENCLIP_IMAGE_RESIZE_MODE,
OPENCLIP_IMAGE_STD,
SatQueryVisionEncoder,
resolve_openclip_checkpoint,
)
from satquery_agent.sve_artifacts import (
EXPECTED_EMBEDDING_DIMENSION,
EXPECTED_OPENCLIP_FILENAME,
EXPECTED_OPENCLIP_MODEL,
EXPECTED_OPENCLIP_REPOSITORY,
EXPECTED_OPENCLIP_REVISION,
EXPECTED_PRETRAINED,
)
class _FakeOpenCLIPModel:
def state_dict(self):
return {}
def load_state_dict(self, state, strict=False):
return SimpleNamespace(unexpected_keys=[], missing_keys=[])
def eval(self):
return self
def parameters(self):
return []
def to(self, *args, **kwargs):
return self
class OpenCLIPCheckpointPathTests(unittest.TestCase):
def test_extensionless_hf_blob_is_passed_to_openclip_as_safetensors(self):
import torch
with tempfile.TemporaryDirectory() as temporary_directory:
root = Path(temporary_directory)
blob = root / "hub" / "models--laion--clip" / "blobs" / "7d129ed"
blob.parent.mkdir(parents=True)
blob.write_bytes(b"safetensors checkpoint bytes")
snapshot = (
root
/ "hub"
/ "models--laion--clip"
/ "snapshots"
/ EXPECTED_OPENCLIP_REVISION
/ EXPECTED_OPENCLIP_FILENAME
)
snapshot.parent.mkdir(parents=True)
snapshot.symlink_to(blob)
self.assertTrue(snapshot.resolve().samefile(blob))
self.assertEqual(snapshot.resolve().suffix, "")
download = Mock(return_value=str(snapshot))
received = {}
fake_open_clip = types.ModuleType("open_clip")
def create_model_and_transforms(model_name, **kwargs):
received["model_name"] = model_name
received.update(kwargs)
return _FakeOpenCLIPModel(), object(), object()
fake_open_clip.create_model_and_transforms = create_model_and_transforms
fake_open_clip.get_tokenizer = lambda model_name: object()
adapter_payload = {
"adapter_state_dict": {},
"model_name": "SatQuery Vision Encoder v1",
"backbone": EXPECTED_OPENCLIP_MODEL,
"pretrained": EXPECTED_PRETRAINED,
"embedding_dimension": EXPECTED_EMBEDDING_DIMENSION,
"unfreeze_visual_blocks": 2,
"adaptation_dataset": "BigEarthNet.txt",
"image_dataset": "BigEarthNet v2 Lithuania Summer",
"train_samples": 4008,
"validation_samples": 2291,
"test_samples": 2053,
"epoch": 5,
}
artifacts = SimpleNamespace(adapter_path=root / "adapter.pt")
with (
patch.dict(os.environ, {"SATQUERY_MODEL_CACHE": str(root / "cache")}),
patch.dict(sys.modules, {"open_clip": fake_open_clip}),
patch("huggingface_hub.hf_hub_download", download),
patch.object(torch, "load", return_value=adapter_payload) as load_adapter,
):
encoder = SatQueryVisionEncoder(artifacts, "cpu")
encoder.load()
checkpoint = Path(received["pretrained"])
self.assertEqual(checkpoint.name, EXPECTED_OPENCLIP_FILENAME)
self.assertEqual(checkpoint.suffix, ".safetensors")
self.assertEqual(checkpoint.read_bytes(), blob.read_bytes())
self.assertEqual(received["model_name"], EXPECTED_OPENCLIP_MODEL)
self.assertEqual(received["device"], "cpu")
self.assertEqual(received["image_mean"], OPENCLIP_IMAGE_MEAN)
self.assertEqual(received["image_std"], OPENCLIP_IMAGE_STD)
self.assertEqual(received["image_interpolation"], OPENCLIP_IMAGE_INTERPOLATION)
self.assertEqual(received["image_resize_mode"], OPENCLIP_IMAGE_RESIZE_MODE)
download.assert_called_once_with(
repo_id=EXPECTED_OPENCLIP_REPOSITORY,
filename=EXPECTED_OPENCLIP_FILENAME,
revision=EXPECTED_OPENCLIP_REVISION,
cache_dir=str((root / "cache").resolve()),
token=False,
)
load_adapter.assert_called_once_with(
artifacts.adapter_path,
map_location="cpu",
weights_only=True,
)
downloader_that_must_not_run = Mock(side_effect=AssertionError("unexpected download"))
self.assertEqual(
resolve_openclip_checkpoint(downloader=downloader_that_must_not_run),
checkpoint,
)
downloader_that_must_not_run.assert_not_called()
if __name__ == "__main__":
unittest.main()
|