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Embeddings vary slightly when done in batches vs. single #3

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minimaxir opened this issue Mar 28, 2022 · 0 comments

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bug

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minimaxir commented Mar 28, 2022 •

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import requests
from PIL import Image
url = "http://images.cocodataset.org/val2017/000000039769.jpg"
image = Image.open(requests.get(url, stream=True).raw)

from imgbeddings import imgbeddings
ibed = imgbeddings()

embedding = ibed.to_embeddings(image)
embedding[:, 0:5]

array([[ 0.914541  ,  0.45988417,  0.0350069 , -0.9054574 ,  0.08941309]],
      dtype=float32)

embedding = ibed.to_embeddings([image]*4)
embedding[:, 0:5]

array([[ 0.9133097 ,  0.46032238,  0.03528907, -0.90713847,  0.09063635],
       [ 0.9133097 ,  0.46032238,  0.03528907, -0.90713847,  0.09063635],
       [ 0.9133097 ,  0.46032238,  0.03528907, -0.90713847,  0.09063635],
       [ 0.9133097 ,  0.46032238,  0.03528907, -0.90713847,  0.09063635]],
      dtype=float32)

Probably a side effect of ONNX conversion as that's within tolerances. (or a case where intra op is breaking parallelism?)

The text was updated successfully, but these errors were encountered:

minimaxir added the bug label

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