Align PT and Flax API - allow loading checkpoint from PyTorch configs #827
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…finalize_flax_pipe
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The documentation is not available anymore as the PR was closed or merged. |
| assert np.abs((np.abs(images[0, 0, :2, :2, -2:], dtype=np.float32).sum() - 0.05652401)) < 1e-3 | ||
| assert np.abs((np.abs(images, dtype=np.float32).sum() - 2383808.2)) < 1e-2 | ||
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| def test_stable_diffusion_v1_4_bfloat_16(self): |
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no safety + outer pmap
| assert np.abs((np.abs(images[0, 0, :2, :2, -2:], dtype=np.float32).sum() - 0.06652832)) < 1e-3 | ||
| assert np.abs((np.abs(images, dtype=np.float32).sum() - 2384849.8)) < 1e-2 | ||
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| def test_stable_diffusion_v1_4_bfloat_16_with_safety(self): |
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with safety + inner pmap
apolinario
reviewed
Oct 13, 2022
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| # shard inputs and rng | ||
| params = replicate(params) | ||
| prng_seed = jax.random.split(prng_seed, 8) |
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Better to replace 8 with jax.device_count(), no?
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Yes this would indeed be a good idea (in case someone wants to open a PR for it, please feel free)
prathikr
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Oct 26, 2022
…huggingface#827) * up * finish * add more tests * up * up * finish
yoonseokjin
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Dec 25, 2023
…huggingface#827) * up * finish * add more tests * up * up * finish
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