salam 3likoum lkhawa
3ndi budget te3 700K-800K DA w rani n7ouwes ndjib pc nel3ab bih les jeux, wchnou houwa meilleur pc li ne9der ndjibou b hada le budget? (3labali mechi bzaf w les pc rahoum ghalyin).
Merci.
Hi everyone,
I’m running a PyTorch training pipeline for a video classification model on DynTex++ dataset in Kaggle, and the notebook appears to freeze during training. It doesn't throw an error or crash, the cell just gets stuck executing indefinitely before it even finishes the first iteration of the PSO loop. here's the link for the code:
https://www.kaggle.com/code/doffymingo/notebook975e681d30
Looking for suggestions on what might be causing this error.
Thank you in advance.
Hi everyone,
I’m running a PyTorch training pipeline for a video classification model on DynTex++ dataset in Kaggle, and the notebook appears to freeze during training. It doesn't throw an error or crash, the cell just gets stuck executing indefinitely before it even finishes the first iteration of the PSO loop. here's the link for the code:
https://www.kaggle.com/code/doffymingo/notebook975e681d30
Looking for suggestions on what might be causing this error.
Thank you in advance.
Hi everyone,
I’m running a PyTorch training pipeline for a video classification model on DynTex++ dataset in Kaggle, and the notebook appears to freeze during training. It doesn't throw an error or crash, the cell just gets stuck executing indefinitely before it even finishes the first iteration of the PSO loop. here's the link for the code:
https://www.kaggle.com/code/doffymingo/notebook975e681d30
Looking for suggestions on what might be causing this error.
Thank you in advance.
Hi everyone,
I’m running a PyTorch training pipeline for a video classification model on DynTex++ dataset in Kaggle, and the notebook appears to freeze during training. It doesn't throw an error or crash, the cell just gets stuck executing indefinitely before it even finishes the first iteration of the PSO loop. here's the link for the code:
https://www.kaggle.com/code/doffymingo/notebook975e681d30
Looking for suggestions on what might be causing this error.
Thank you in advance.
Hi everyone,
I’m running a PyTorch training pipeline for a video classification model on DynTex++ dataset in Kaggle, and the notebook appears to freeze during training. It doesn't throw an error or crash, the cell just gets stuck executing indefinitely before it even finishes the first iteration of the PSO loop. here's the link for the code:
https://www.kaggle.com/code/doffymingo/notebook975e681d30
Looking for suggestions on what might be causing this error.
Thank you in advance.
Hi everyone,
I’m running a PyTorch training pipeline for a video classification model on DynTex++ dataset in Kaggle, and the notebook appears to freeze during training. It doesn't throw an error or crash, the cell just gets stuck executing indefinitely before it even finishes the first iteration of the PSO loop. here's the link for the code:
https://www.kaggle.com/code/doffymingo/notebook975e681d30
Looking for suggestions on what might be causing this error.
Thank you in advance.
Hi everyone,
I’m running a PyTorch training pipeline for a video classification model on DynTex++ dataset in Kaggle, and the notebook appears to freeze during training. It doesn't throw an error or crash, the cell just gets stuck executing indefinitely before it even finishes the first iteration of the PSO loop. here's the link for the code:
https://www.kaggle.com/code/doffymingo/notebook975e681d30
Looking for suggestions on what might be causing this error.
Thank you in advance.
Hi everyone,
I’m running a PyTorch training pipeline for a video classification model on DynTex++ dataset in Kaggle, and the notebook appears to freeze during training. It doesn't throw an error or crash, the cell just gets stuck executing indefinitely before it even finishes the first iteration of the PSO loop. here's the link for the code:
https://www.kaggle.com/code/doffymingo/notebook975e681d30
Looking for suggestions on what might be causing this error.
Thank you in advance.
Hi everyone,
I’m running a PyTorch training pipeline for a video classification model on DynTex++ dataset in Kaggle, and the notebook appears to freeze during training. It doesn't throw an error or crash, the cell just gets stuck executing indefinitely before it even finishes the first iteration of the PSO loop. here's the link for the code:
https://www.kaggle.com/code/doffymingo/notebook975e681d30
Looking for suggestions on what might be causing this error.
Thank you in advance.
Hi everyone,
I’m running a PyTorch training pipeline for a video classification model on DynTex++ dataset in Kaggle, and the notebook appears to freeze during training. It doesn't throw an error or crash, the cell just gets stuck executing indefinitely before it even finishes the first iteration of the PSO loop. here's the link for the code:
https://www.kaggle.com/code/doffymingo/notebook975e681d30
Looking for suggestions on what might be causing this error.
Thank you in advance.
Hi everyone,
I’m building a Vision Transformer model for dynamic texture recognition, but the training time is extremely long (around 6 hours).
Are there any optimizations you’d recommend to speed things up without hurting performance too much?
here's the link for the code:
https://www.kaggle.com/code/doffymingo/vit-v2-16-frames
Thank you in advance.
Hi everyone,
I’m building a Vision Transformer model for dynamic texture recognition, but the training time is extremely long (around 6 hours).
Are there any optimizations you’d recommend to speed things up without hurting performance too much?
here's the link for the code:
https://www.kaggle.com/code/doffymingo/vit-v2-16-frames
Thank you in advance.
Hi everyone,
I’m building a Vision Transformer model for dynamic texture recognition, but the training time is extremely long (around 6 hours).
Are there any optimizations you’d recommend to speed things up without hurting performance too much?
here's the link for the code:
https://www.kaggle.com/code/doffymingo/vit-v2-16-frames
Thank you in advance.
Hi everyone,
I’m building a Vision Transformer model for dynamic texture recognition, but the training time is extremely long (around 6 hours).
Are there any optimizations you’d recommend to speed things up without hurting performance too much?
here's the link for the code:
https://www.kaggle.com/code/doffymingo/vit-v2-16-frames
Thank you in advance.