Add my backbone error #1237
Assignees
Comments
|
It means your backbone has unused parameters, which have problems in back propagation, please check it out and delete them. |
aravind-h-v
pushed a commit
to aravind-h-v/mmsegmentation
that referenced
this issue
Mar 27, 2023
* 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>
aravind-h-v
pushed a commit
to aravind-h-v/mmsegmentation
that referenced
this issue
Mar 27, 2023
…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>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Traceback (most recent call last):
File "tools/train.py", line 214, in
main()
File "tools/train.py", line 210, in main
meta=meta)
File "/root/cloud/lj28/project/git-code/mmsegmentation_nail/mmseg/apis/train.py", line 171, in train_segmentor
runner.run(data_loaders, cfg.workflow)
File "/opt/conda/lib/python3.6/site-packages/mmcv/runner/iter_based_runner.py", line 134, in run
iter_runner(iter_loaders[i], **kwargs)
File "/opt/conda/lib/python3.6/site-packages/mmcv/runner/iter_based_runner.py", line 61, in train
outputs = self.model.train_step(data_batch, self.optimizer, **kwargs)
File "/opt/conda/lib/python3.6/site-packages/mmcv/parallel/distributed.py", line 42, in train_step
and self.reducer._rebuild_buckets()):
RuntimeError: Expected to have finished reduction in the prior iteration before starting a new one. This error indicates that your module has parameters that were not used in producing loss. You can enable unused parameter detection by (1) passing the keyword argument
find_unused_parameters=Truetotorch.nn.parallel.DistributedDataParallel; (2) making sure allforwardfunction outputs participate in calculating loss. If you already have done the above two steps, then the distributed data parallel module wasn't able to locate the output tensors in the return value of your module'sforwardfunction. Please include the loss function and the structure of the return value offorwardof your module when reporting this issue (e.g. list, dict, iterable).The text was updated successfully, but these errors were encountered: