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Hi,
I am trying to summarize the network as the following form to have an overview of its architecture and number of parameters:
```
==============================================================β¦
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### π‘ Your Question
Hi,
I created a virtual environment in google colab with python 3.9.18 and installed super gradients 3.4.1 using below commands for yolo_nas_pose estimation:
Set of commands β¦
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### Bug description
At the link below I ran the code base and made almost no changes.
[https://github.com/bytedance/music_source_separation](https://github.com/bytedance/music_source_separation)
β¦
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I got error: `bad value(s) in fds_to_keep`.
Full logs:
```
building policy
Loading checkpoint shards: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 2/2 [00:17 None: β¦
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Dear Authors,
Thank you for the benchmark. I am starting to use this tool to generate ETs for DNN model writing in Pytorch. I have installed and implemented using the following commands.
cd train/β¦
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## Error:
- Test files: [Github/Test Folder)[https://github.com/maycuatroi/drawio/tree/cb4f8ef6ce1f173e955a961963b1b22d530c67ee/tests]
```terminal
(base) binhna@DESKTOP-D9VLB13:/mnt/d/Github/drawioβ¦
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I'm trying to install PyTorch, but I'm getting the following error:
```
> uv pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 --verbose
DEBUG Found a viβ¦
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I am trying to install and run DeepFIR on a MAC. I am confused on how exactly to train the models and load them into the Results folder. Are there pre-trained models available for use?
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I am currently using the code provided in this [Colab notebook](https://colab.research.google.com/github/truera/trulens/blob/main/trulens_eval/examples/quickstart/quickstart.ipynb#scrollTo=-HyRuVA2qR7β¦
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### π Documentation Improvement
Benchmarks only shows inference time on gpu, but the parameters and flops of model really matters.