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TensorFlow/fr: Difference between revisions
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#SBATCH --gres=gpu:2 # Request 2 GPU "generic resources”. You will get 2 per node. | #SBATCH --gres=gpu:2 # Request 2 GPU "generic resources”. You will get 2 per node. | ||
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#SBATCH --tasks-per-node=2 # Request 1 process per GPU. You will get 1 CPU per process by default. Request more CPUs with the "cpus-per-task" parameter if your input pipeline can handle parallel data-loading/data-transforms | #SBATCH --tasks-per-node=2 # Request 1 process per GPU. You will get 1 CPU per process by default. Request more CPUs with the "cpus-per-task" parameter if your input pipeline can handle parallel data-loading/data-transforms | ||
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#SBATCH --mem=8G | #SBATCH --mem=8G | ||
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#SBATCH --gres=gpu:2 # Request 2 GPU "generic resources”. You will get 2 per node. | #SBATCH --gres=gpu:2 # Request 2 GPU "generic resources”. You will get 2 per node. | ||
<div class="mw-translate-fuzzy"> | |||
#SBATCH --tasks-per-node=2 # Request 1 process per GPU. You will get 1 CPU per process by default. Request more CPUs with the "cpus-per-task" parameter if your input pipeline can handle parallel data-loading/data-transforms | #SBATCH --tasks-per-node=2 # Request 1 process per GPU. You will get 1 CPU per process by default. Request more CPUs with the "cpus-per-task" parameter if your input pipeline can handle parallel data-loading/data-transforms | ||
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#SBATCH --mem=8G | #SBATCH --mem=8G | ||