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sayakpaul
commented
Nov 1, 2024
| ).images | ||
| out_slice = output[0, -3:, -3:, -1].flatten() | ||
| expected_slice = np.array([0.0149, 0.0322, 0.0073, 0.0134, 0.0332, 0.011, 0.002, 0.0232, 0.0193]) | ||
| expected_slice = np.array([0.0376, 0.0359, 0.0015, 0.0449, 0.0479, 0.0098, 0.0083, 0.0295, 0.0295]) |
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Because of the machine change.
sayakpaul
commented
Nov 1, 2024
| group: aws-g6e-xlarge-plus | ||
| container: | ||
| image: diffusers/diffusers-pytorch-cuda | ||
| options: --shm-size "20gb" --ipc host --gpus 0 |
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Using a large shared memory here.
sayakpaul
commented
Nov 1, 2024
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| matrix: | ||
| config: | ||
| - backend: "bitsandbytes" | ||
| test_location: "bnb" |
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Decided to go with a matrix strategy to accommodate for future backends.
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@DN6 a gentle ping |
DN6
approved these changes
Dec 2, 2024
lawrence-cj
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Dec 4, 2024
* add quantization to nightly CI. * prep. * fix lib name. * remove deps that are not needed. * fix slice.
sayakpaul
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Dec 23, 2024
* add quantization to nightly CI. * prep. * fix lib name. * remove deps that are not needed. * fix slice.
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What does this PR do?
As discussed.