目录
第二个参数输入列表，则按照列表和翻转规则，依次翻转列表内的维度
方法描述
torch.flip()函数是PyTorch中用于翻转张量的函数。它可以用于在指定维度上对张量进行翻转操作
torch.flip(input,dim):第一个参数是tensor输入，第二个参数是输入的第几维度，按照维度对输入进行翻转, 反转后shape不变
参数
-
input：输入张量，可以是任意形状的张量。 -
dims：一个整数或整数列表，表示要翻转的维度。
函数签名
torch.flip(input, dims) → Tensor第二个参数输入单维度，翻转列表内的维度
python
import torch
x = torch.arange(120).view(2, 3, 4,5)
print('x=\n',x)
a = torch.flip(x, [0])
b = torch.flip(x, [1])
c = torch.flip(x, [2])
d = torch.flip(x, [3])
print('a=\n',a)
print('b=\n',b)
print('c=\n',c)
print('d=\n',d)原张量显示
x=
tensor(\[\[\[ 0, 1, 2, 3, 4,
5, 6, 7, 8, 9,
10, 11, 12, 13, 14,
15, 16, 17, 18, 19],
\[ 20, 21, 22, 23, 24,
25, 26, 27, 28, 29,
30, 31, 32, 33, 34,
35, 36, 37, 38, 39],
\[ 40, 41, 42, 43, 44,
45, 46, 47, 48, 49,
50, 51, 52, 53, 54,
55, 56, 57, 58, 59]],
\[\[ 60, 61, 62, 63, 64,
65, 66, 67, 68, 69,
70, 71, 72, 73, 74,
75, 76, 77, 78, 79],
\[ 80, 81, 82, 83, 84,
85, 86, 87, 88, 89,
90, 91, 92, 93, 94,
95, 96, 97, 98, 99],
\[100, 101, 102, 103, 104,
105, 106, 107, 108, 109,
110, 111, 112, 113, 114,
115, 116, 117, 118, 119]]])
按照0维翻转结果（在三个方括号"\[\[ ]]"内的内容为一体 在四括号内"\[\[\[ ]]]"进行倒叙排列）
a=
tensor(\[\[\[ 60, 61, 62, 63, 64,
65, 66, 67, 68, 69,
70, 71, 72, 73, 74,
75, 76, 77, 78, 79],
\[ 80, 81, 82, 83, 84,
85, 86, 87, 88, 89,
90, 91, 92, 93, 94,
95, 96, 97, 98, 99],
\[100, 101, 102, 103, 104,
105, 106, 107, 108, 109,
110, 111, 112, 113, 114,
115, 116, 117, 118, 119]],
\[\[ 0, 1, 2, 3, 4,
5, 6, 7, 8, 9,
10, 11, 12, 13, 14,
15, 16, 17, 18, 19],
\[ 20, 21, 22, 23, 24,
25, 26, 27, 28, 29,
30, 31, 32, 33, 34,
35, 36, 37, 38, 39],
\[ 40, 41, 42, 43, 44,
45, 46, 47, 48, 49,
50, 51, 52, 53, 54,
55, 56, 57, 58, 59]]])
按照1维翻转结果（在两个方括号"\[ ]"内的内容为一体 在三括号"\[\[ ]]"内进行倒叙排列）
b=
tensor(\[\[\[ 40, 41, 42, 43, 44,
45, 46, 47, 48, 49,
50, 51, 52, 53, 54,
55, 56, 57, 58, 59],
\[ 20, 21, 22, 23, 24,
25, 26, 27, 28, 29,
30, 31, 32, 33, 34,
35, 36, 37, 38, 39],
\[ 0, 1, 2, 3, 4,
5, 6, 7, 8, 9,
10, 11, 12, 13, 14,
15, 16, 17, 18, 19]],
\[\[100, 101, 102, 103, 104,
105, 106, 107, 108, 109,
110, 111, 112, 113, 114,
115, 116, 117, 118, 119],
\[ 80, 81, 82, 83, 84,
85, 86, 87, 88, 89,
90, 91, 92, 93, 94,
95, 96, 97, 98, 99],
\[ 60, 61, 62, 63, 64,
65, 66, 67, 68, 69,
70, 71, 72, 73, 74,
75, 76, 77, 78, 79]]])
按照2维翻转结果（在一个方括号" "内的内容为一体 在双括号内"\[ ]"进行倒叙排列）
c=
tensor(\[\[\[ 15, 16, 17, 18, 19,
10, 11, 12, 13, 14,
5, 6, 7, 8, 9,
0, 1, 2, 3, 4],
\[ 35, 36, 37, 38, 39,
30, 31, 32, 33, 34,
25, 26, 27, 28, 29,
20, 21, 22, 23, 24],
\[ 55, 56, 57, 58, 59,
50, 51, 52, 53, 54,
45, 46, 47, 48, 49,
40, 41, 42, 43, 44]],
\[\[ 75, 76, 77, 78, 79,
70, 71, 72, 73, 74,
65, 66, 67, 68, 69,
60, 61, 62, 63, 64],
\[ 95, 96, 97, 98, 99,
90, 91, 92, 93, 94,
85, 86, 87, 88, 89,
80, 81, 82, 83, 84],
\[115, 116, 117, 118, 119,
110, 111, 112, 113, 114,
105, 106, 107, 108, 109,
100, 101, 102, 103, 104]]])
按照3维翻转结果（在" "每个数字单独为一体 在单括号内" "进行倒叙排列）
d=
tensor(\[\[\[ 4, 3, 2, 1, 0,
9, 8, 7, 6, 5,
14, 13, 12, 11, 10,
19, 18, 17, 16, 15],
\[ 24, 23, 22, 21, 20,
29, 28, 27, 26, 25,
34, 33, 32, 31, 30,
39, 38, 37, 36, 35],
\[ 44, 43, 42, 41, 40,
49, 48, 47, 46, 45,
54, 53, 52, 51, 50,
59, 58, 57, 56, 55]],
\[\[ 64, 63, 62, 61, 60,
69, 68, 67, 66, 65,
74, 73, 72, 71, 70,
79, 78, 77, 76, 75],
\[ 84, 83, 82, 81, 80,
89, 88, 87, 86, 85,
94, 93, 92, 91, 90,
99, 98, 97, 96, 95],
\[104, 103, 102, 101, 100,
109, 108, 107, 106, 105,
114, 113, 112, 111, 110,
119, 118, 117, 116, 115]]])
第二个参数输入列表，则按照列表和翻转规则，依次翻转列表内的维度
python
import torch
# 翻转张量
a = torch.tensor([[1, 2, 3], [4, 5, 6]])
b = torch.flip(a, dims=[0, 1])
print(b)结果输出
tensor(\[6, 5, 4,
3, 2, 1])
翻转逻辑
先变成
tensor(\[4,5,6,
1,2,3])
再变成
tensor(\[6,5,4,\[\]])