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CogVLM: 4bit inference by default | Diffusers: bump to 0.25.0 | MultiDataBackend: better support for epoch tracking across datasets. | MultiDataBackend: throw error and end training when global epoch != dataset epoch. | Logging: major reduction in debug noise | SDXL: fix num update steps per epoch calculations | SDXL: Fix number of batch display | SDXL: Correctness fixes for global_step handling#255

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bghira merged 75 commits intoreleasefrom
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Dec 31, 2023

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@bghira bghira commented Dec 30, 2023

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bghira added 30 commits December 27, 2023 09:05
@bghira bghira changed the title CogVLM: 4bit inference by default | Diffusers: bump to 0.25.0 | MultiDataBackend: better support for epoch tracking across datasets. | MultiDataBackend: throw error and end training when global epoch != dataset epoch. | Logging: major reduction in debug noise | SDXL: fix num update steps per epoch calculations | SDXL: Fix number of batch display CogVLM: 4bit inference by default | Diffusers: bump to 0.25.0 | MultiDataBackend: better support for epoch tracking across datasets. | MultiDataBackend: throw error and end training when global epoch != dataset epoch. | Logging: major reduction in debug noise | SDXL: fix num update steps per epoch calculations | SDXL: Fix number of batch display | SDXL: Correctness fixes for global_step handling Dec 30, 2023
@bghira bghira merged commit 3b5781a into release Dec 31, 2023
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