129 lines
2.4 KiB
Plaintext
129 lines
2.4 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"id": "259a585b",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"### heloo"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"id": "e18c006e",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"hello world\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print(\"hello world\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 6,
|
|
"id": "fe7bf6eb",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"True\n",
|
|
"cuda\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import torch\n",
|
|
"from torch._C import device\n",
|
|
"import torch.nn as nn\n",
|
|
"from torch.nn import functional as F\n",
|
|
"print(torch.cuda.is_available())\n",
|
|
"device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
|
|
"print(device)\n",
|
|
"\n",
|
|
"if device == \"cuda\":\n",
|
|
" print(\"gpu\", torch.cuda.get_device_name(0))\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"id": "4bddedb8",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"1115394\n",
|
|
"First Citizen:\n",
|
|
"Before we proceed any further, hear me speak.\n",
|
|
"\n",
|
|
"All:\n",
|
|
"Speak, speak.\n",
|
|
"\n",
|
|
"First Citizen:\n",
|
|
"You are all resolved rather to die than to famish?\n",
|
|
"\n",
|
|
"All:\n",
|
|
"Resolved. resolved.\n",
|
|
"\n",
|
|
"First Citizen:\n",
|
|
"First, you know Caius Marcius is chief enemy to the people.\n",
|
|
"\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"with open(\"input.txt\", \"r\", encoding = \"utf-8\") as f:\n",
|
|
" text = f.read()\n",
|
|
"\n",
|
|
"print(len(text))\n",
|
|
"print(text[:250])\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b33dcb00",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"set(text)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": ".venv",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.12.10"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|