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| -rw-r--r-- | notebooks/Untitled.ipynb | 300 |
1 files changed, 0 insertions, 300 deletions
diff --git a/notebooks/Untitled.ipynb b/notebooks/Untitled.ipynb deleted file mode 100644 index 5dbda4c..0000000 --- a/notebooks/Untitled.ipynb +++ /dev/null @@ -1,300 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "8468e45a", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import torch" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "d1bc956b", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "torch.cuda.is_available()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "4660ff12-74d7-4c8a-a65b-2c0d90326e26", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "ename": "AttributeError", - "evalue": "module 'torch' has no attribute 'cudnn'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcudnn\u001b[49m\n", - "\u001b[0;31mAttributeError\u001b[0m: module 'torch' has no attribute 'cudnn'" - ] - } - ], - "source": [ - "torch.cudnn" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "652cfb26", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "1" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "torch.cuda.device_count()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "0fc5e328", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "0" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "torch.cuda.current_device()" - ] - }, - { - "cell_type": "code", - 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