79 lines
1.5 KiB
Text
79 lines
1.5 KiB
Text
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "5a2a1e37-f4db-4963-a0ac-7b39353f826f",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"tensor([[0.2226, 0.2227, 0.1347],\n",
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" [0.7975, 0.3823, 0.9395],\n",
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" [0.1675, 0.9185, 0.4175],\n",
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" [0.0476, 0.1244, 0.6878],\n",
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" [0.5177, 0.7245, 0.2723]])\n"
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]
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}
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],
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"source": [
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"import torch\n",
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"x = torch.rand(5, 3)\n",
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"print(x)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "53469c52-9438-4d62-aa2a-e93fb3fef23b",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"False"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"torch.cuda.is_available()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f13c7010-acb0-4870-aa6f-1294701cfc7e",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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