Unable to use AIDA-X on Google colab anymore

Neural Modelling
#1

I used Google Colab to train models for AIDA-X in the past, but today I encountered errors in the 0.DEPS section. After displaying the errors, Colab prompts me to restart the runtime. However, even after restarting, the same issue persists. If I skip this section, all subsequent steps also result in errors. Do you know if this is a temporary issue? I’ll share the 0.DEPS messages below

"WARNING: Your environment has PyTorch 2.0.1+cu117 and CUDA 11.7. This environment is not supported.
Proceeding to install required dependencies…
Found existing installation: torch 2.0.1+cu117
Uninstalling torch-2.0.1+cu117:
Successfully uninstalled torch-2.0.1+cu117
Found existing installation: torchvision 0.15.2+cu117
Uninstalling torchvision-0.15.2+cu117:
Successfully uninstalled torchvision-0.15.2+cu117
Found existing installation: torchaudio 2.0.2+cu117
Uninstalling torchaudio-2.0.2+cu117:
Successfully uninstalled torchaudio-2.0.2+cu117
WARNING: Skipping tensorflow as it is not installed.
WARNING: Skipping tensorboard as it is not installed.
Looking in links: https://download.pytorch.org/whl/torch_stable.html
Collecting torch==2.0.1+cu117
Downloading https://download.pytorch.org/whl/cu117/torch-2.0.1%2Bcu117-cp311-cp311-linux_x86_64.whl (1843.9 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.8/1.8 GB 223.4 MB/s eta 0:00:00
Collecting torchvision==0.15.2+cu117
Downloading https://download.pytorch.org/whl/cu117/torchvision-0.15.2%2Bcu117-cp311-cp311-linux_x86_64.whl (6.1 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.1/6.1 MB 159.4 MB/s eta 0:00:00
Collecting torchaudio==2.0.2+cu117
Downloading https://download.pytorch.org/whl/cu117/torchaudio-2.0.2%2Bcu117-cp311-cp311-linux_x86_64.whl (4.4 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 164.4 MB/s eta 0:00:00
Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from torch==2.0.1+cu117) (3.18.0)
Requirement already satisfied: typing-extensions in /usr/local/lib/python3.11/dist-packages (from torch==2.0.1+cu117) (4.12.2)
Requirement already satisfied: sympy in /usr/local/lib/python3.11/dist-packages (from torch==2.0.1+cu117) (1.13.1)
Requirement already satisfied: networkx in /usr/local/lib/python3.11/dist-packages (from torch==2.0.1+cu117) (3.4.2)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.11/dist-packages (from torch==2.0.1+cu117) (3.1.6)
Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.11/dist-packages (from torch==2.0.1+cu117) (2.0.0)
Requirement already satisfied: numpy in /usr/local/lib/python3.11/dist-packages (from torchvision==0.15.2+cu117) (2.0.2)
Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from torchvision==0.15.2+cu117) (2.32.3)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.11/dist-packages (from torchvision==0.15.2+cu117) (11.1.0)
Requirement already satisfied: cmake in /usr/local/lib/python3.11/dist-packages (from triton==2.0.0->torch==2.0.1+cu117) (3.31.6)
Requirement already satisfied: lit in /usr/local/lib/python3.11/dist-packages (from triton==2.0.0->torch==2.0.1+cu117) (18.1.8)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.11/dist-packages (from jinja2->torch==2.0.1+cu117) (3.0.2)
Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->torchvision==0.15.2+cu117) (3.4.1)
Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->torchvision==0.15.2+cu117) (3.10)
Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->torchvision==0.15.2+cu117) (2.3.0)
Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->torchvision==0.15.2+cu117) (2025.1.31)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.11/dist-packages (from sympy->torch==2.0.1+cu117) (1.3.0)
Installing collected packages: torch, torchvision, torchaudio
Successfully installed torch-2.0.1+cu117 torchaudio-2.0.2+cu117 torchvision-0.15.2+cu117

WARNING: The following packages were previously imported in this runtime:
[nvfuser,torch]
You must restart the runtime in order to use newly installed versions.

ERROR: Could not find a version that satisfies the requirement tensorflow==2.11.0 (from versions: 2.12.0rc0, 2.12.0rc1, 2.12.0, 2.12.1, 2.13.0rc0, 2.13.0rc1, 2.13.0rc2, 2.13.0, 2.13.1, 2.14.0rc0, 2.14.0rc1, 2.14.0, 2.14.1, 2.15.0rc0, 2.15.0rc1, 2.15.0, 2.15.0.post1, 2.15.1, 2.16.0rc0, 2.16.1, 2.16.2, 2.17.0rc0, 2.17.0rc1, 2.17.0, 2.17.1, 2.18.0rc0, 2.18.0rc1, 2.18.0rc2, 2.18.0, 2.18.1, 2.19.0rc0, 2.19.0)
ERROR: No matching distribution found for tensorflow==2.11.0"

#2

@spunktsch are you aware of this issue? Any chance to look and find a fix? I forgot to mention that i’ve used the latest versions of Firefox and Chrome. Thanks in advance!

#3

yup, old issue that’s popping up: just change the version tensorflow==2.11.0 to 2.12.0 or the one that’s available.

2 Likes
#4

(post deleted by author)

1 Like
#5

Thanks! This fixed the error. However, I’m still encountering some strange issues. I’m trying to capture new presets for the Neural DSP Darkglass Ultra, which I’ve successfully done in the past. For example, when I use old training files from 2023 (Halogram Darkglass - Google Drive), the training works perfectly without any issues. But when I use any new training files recorded today (exactly the same way I did previously), I’m getting terrible results. I’ve noticed that the DRY and PREDICTED signals sound identical, and with TARGET and DIFFERENCE SIGNALs, I get a mixture of the Dry and Target. When I upload a DI sample to test the capture, the DRY and PREDICTED SIGNALS sound identical. Here’s an example of the training files where I’m getting these strange results (Parallax_NoCab - Google Drive). What am I doing wrong?

Capture
Capture909×448 39.6 KB

#6

I did a training with this set of files. I got a terrible score (ESR after training: 0.9643202424049377), a very clean sound with a very low output signal. I guess your target file signal is to low. Did you already make good captures of that type of sound before ? I never succeeded at capturing my weirdest pedals unfortunately.