'time' vs 'data time' #1331
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time is the time of each time including forward and backward, and data time is time for data transform. |
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* inpaint fix k lms * onnox as well * up
aravind-h-v
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…b#1334 (open-mmlab#1426) * add AudioDiffusionPipeline and LatentAudioDiffusionPipeline * add docs to toc * fix tests * fix tests * fix tests * fix tests * fix tests * Update pr_tests.yml Fix tests * parent 499ff34b3edc3e0c506313ab48f21514d8f58b09 author teticio <teticio@gmail.com> 1668765652 +0000 committer teticio <teticio@gmail.com> 1669041721 +0000 parent 499ff34b3edc3e0c506313ab48f21514d8f58b09 author teticio <teticio@gmail.com> 1668765652 +0000 committer teticio <teticio@gmail.com> 1669041704 +0000 add colab notebook [Flax] Fix loading scheduler from subfolder (open-mmlab#1319) [FLAX] Fix loading scheduler from subfolder Fix/Enable all schedulers for in-painting (open-mmlab#1331) * inpaint fix k lms * onnox as well * up Correct path to schedlure (open-mmlab#1322) * [Examples] Correct path * uP Avoid nested fix-copies (open-mmlab#1332) * Avoid nested `# Copied from` statements during `make fix-copies` * style Fix img2img speed with LMS-Discrete Scheduler (open-mmlab#896) Casting `self.sigmas` into a different dtype (the one of original_samples) is not advisable. In my img2img pipeline this leads to a long running time in the `integrate.quad` call later on- by long I mean more than 10x slower. Co-authored-by: Anton Lozhkov <anton@huggingface.co> Fix the order of casts for onnx inpainting (open-mmlab#1338) Legacy Inpainting Pipeline for Onnx Models (open-mmlab#1237) * Add legacy inpainting pipeline compatibility for onnx * remove commented out line * Add onnx legacy inpainting test * Fix slow decorators * pep8 styling * isort styling * dummy object * ordering consistency * style * docstring styles * Refactor common prompt encoding pattern * Update tests to permanent repository home * support all available schedulers until ONNX IO binding is available Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> * updated styling from PR suggested feedback Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> Jax infer support negative prompt (open-mmlab#1337) * support negative prompts in sd jax pipeline * pass batched neg_prompt * only encode when negative prompt is None Co-authored-by: Juan Acevedo <jfacevedo@google.com> Update README.md: Minor change to Imagic code snippet, missing dir error (open-mmlab#1347) Minor change to Imagic Readme Missing dir causes an error when running the example code. make style change the sample model (open-mmlab#1352) * Update alt_diffusion.mdx * Update alt_diffusion.mdx Add bit diffusion [WIP] (open-mmlab#971) * Create bit_diffusion.py Bit diffusion based on the paper, arXiv:2208.04202, Chen2022AnalogBG * adding bit diffusion to new branch ran tests * tests * tests * tests * tests * removed test folders + added to README * Update README.md Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * move Mel to module in pipeline construction, make librosa optional * fix imports * fix copy & paste error in comment * fix style * add missing register_to_config * fix class docstrings * fix class docstrings * tweak docstrings * tweak docstrings * update slow test * put trailing commas back * respect alphabetical order * remove LatentAudioDiffusion, make vqvae optional * move Mel from models back to pipelines :-) * allow loading of pretrained audiodiffusion models * fix tests * fix dummies * remove reference to latent_audio_diffusion in docs * unused import * inherit from SchedulerMixin to make loadable * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
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can someone give an in-depth explanation of what the two are in the log file, and how it is measured over the training process?
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