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Update old existing feature extractor references (#24552)

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* Update old existing feature extractor references

* Typo

* Apply suggestions from code review

* Apply suggestions from code review

* Apply suggestions from code review

* Address comments from review - update 'feature extractor'
Co-authored by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
This commit is contained in:
amyeroberts
2023-06-29 10:17:36 +01:00
committed by GitHub
parent 10c2ac7bc6
commit ae454f41d4
138 changed files with 762 additions and 743 deletions
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6
tests/models/glpn/test_modeling_glpn.py
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@@ -37,7 +37,7 @@ if is_torch_available():
if is_vision_available():
from PIL import Image
from transformers import GLPNFeatureExtractor
from transformers import GLPNImageProcessor
class GLPNConfigTester(ConfigTester):
@@ -337,11 +337,11 @@ def prepare_img():
class GLPNModelIntegrationTest(unittest.TestCase):
@slow
def test_inference_depth_estimation(self):
feature_extractor = GLPNFeatureExtractor.from_pretrained(GLPN_PRETRAINED_MODEL_ARCHIVE_LIST[0])
image_processor = GLPNImageProcessor.from_pretrained(GLPN_PRETRAINED_MODEL_ARCHIVE_LIST[0])
model = GLPNForDepthEstimation.from_pretrained(GLPN_PRETRAINED_MODEL_ARCHIVE_LIST[0]).to(torch_device)
image = prepare_img()
inputs = feature_extractor(images=image, return_tensors="pt").to(torch_device)
inputs = image_processor(images=image, return_tensors="pt").to(torch_device)
# forward pass
with torch.no_grad():