63 lines
1.3 KiB
Plaintext
63 lines
1.3 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"tensor([[ 1, 2],\n",
|
|
" [ 7, 8],\n",
|
|
" [13, 14]])\n",
|
|
"tensor([[ 3, 4],\n",
|
|
" [ 9, 10],\n",
|
|
" [15, 16]])\n",
|
|
"tensor([[ 5, 6],\n",
|
|
" [11, 12],\n",
|
|
" [17, 18]])\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import torch\n",
|
|
"\n",
|
|
"# 创建一个大小为(3, 6)的张量\n",
|
|
"tensor = torch.tensor([[1, 2, 3, 4, 5, 6],\n",
|
|
" [7, 8, 9, 10, 11, 12],\n",
|
|
" [13, 14, 15, 16, 17, 18]])\n",
|
|
"\n",
|
|
"# 沿着第二个维度分成3份\n",
|
|
"chunks = tensor.chunk(3, dim=1)\n",
|
|
"\n",
|
|
"# 打印分割后的张量\n",
|
|
"for chunk in chunks:\n",
|
|
" print(chunk)\n"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "arch2vec39",
|
|
"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": "3.6.13"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|