flipud and fliplr in PyTorch

Buy Me a Coffee

*My post explains flip().

flipud() can get the 1D or more D tensor of the zero or more elements reversed in the up/down direction from the 1D or more D tensor of zero or more elements as shown below:

*Memos:

• flipud() can be used with torch or a tensor.
• The 1st argument(input) with torch or using a tensor(Required-Type:tensor of int, float, complex or bool).

<span>import</span> <span>torch</span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([</span><span>2</span><span>,</span> <span>7</span><span>,</span> <span>4</span><span>])</span> <span># 1D tensor </span>
<span>torch</span><span>.</span><span>flipud</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span>my_tensor</span><span>.</span><span>flipud</span><span>()</span>
<span># tensor([4, 7, 2]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[</span><span>2</span><span>,</span> <span>7</span><span>,</span> <span>4</span><span>],</span> <span>[</span><span>8</span><span>,</span> <span>3</span><span>,</span> <span>2</span><span>]])</span> <span># 2D tensor </span>
<span>torch</span><span>.</span><span>flipud</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[8, 3, 2], [2, 7, 4]]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>2</span><span>,</span> <span>7</span><span>,</span> <span>4</span><span>],</span> <span>[</span><span>8</span><span>,</span> <span>3</span><span>,</span> <span>2</span><span>]],</span> <span># 3D tensor </span>                          <span>[[</span><span>5</span><span>,</span> <span>0</span><span>,</span> <span>8</span><span>],</span> <span>[</span><span>3</span><span>,</span> <span>6</span><span>,</span> <span>1</span><span>]]])</span>
<span>torch</span><span>.</span><span>flipud</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[5, 0, 8], [3, 6, 1]], # [[2, 7, 4], [8, 3, 2]]]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>2.</span><span>,</span> <span>7.</span><span>,</span> <span>4.</span><span>],</span> <span>[</span><span>8.</span><span>,</span> <span>3.</span><span>,</span> <span>2.</span><span>]],</span> <span># 3D tensor </span>                          <span>[[</span><span>5.</span><span>,</span> <span>0.</span><span>,</span> <span>8.</span><span>],</span> <span>[</span><span>3.</span><span>,</span> <span>6.</span><span>,</span> <span>1.</span><span>]]])</span>
<span>torch</span><span>.</span><span>flipud</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[5., 0., 8.], [3., 6., 1.]], # [[2., 7., 4.], [8., 3., 2.]]]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>2.</span><span>+</span><span>0.j</span><span>,</span> <span>7.</span><span>+</span><span>0.j</span><span>,</span> <span>4.</span><span>+</span><span>0.j</span><span>],</span> <span># 3D tensor </span>                           <span>[</span><span>8.</span><span>+</span><span>0.j</span><span>,</span> <span>3.</span><span>+</span><span>0.j</span><span>,</span> <span>2.</span><span>+</span><span>0.j</span><span>]],</span>
                          <span>[[</span><span>5.</span><span>+</span><span>0.j</span><span>,</span> <span>0.</span><span>+</span><span>0.j</span><span>,</span> <span>8.</span><span>+</span><span>0.j</span><span>],</span>
                           <span>[</span><span>3.</span><span>+</span><span>0.j</span><span>,</span> <span>6.</span><span>+</span><span>0.j</span><span>,</span> <span>1.</span><span>+</span><span>0.j</span><span>]]])</span>
<span>torch</span><span>.</span><span>flipud</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[5.+0.j, 0.+0.j, 8.+0.j], # [3.+0.j, 6.+0.j, 1.+0.j]], # [[2.+0.j, 7.+0.j, 4.+0.j], # [8.+0.j, 3.+0.j, 2.+0.j]]]) </span>                         <span># 3D tensor </span><span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>True</span><span>,</span> <span>False</span><span>,</span> <span>True</span><span>],</span> <span>[</span><span>True</span><span>,</span> <span>False</span><span>,</span> <span>True</span><span>]],</span>
                          <span>[[</span><span>False</span><span>,</span> <span>True</span><span>,</span> <span>False</span><span>],</span> <span>[</span><span>False</span><span>,</span> <span>True</span><span>,</span> <span>False</span><span>]]])</span>
<span>torch</span><span>.</span><span>flipud</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[False, True, False], [False, True, False]], # [[True, False, True], [True, False, True]]]) </span>
<span>import</span> <span>torch</span>

<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([</span><span>2</span><span>,</span> <span>7</span><span>,</span> <span>4</span><span>])</span> <span># 1D tensor </span>
<span>torch</span><span>.</span><span>flipud</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span>my_tensor</span><span>.</span><span>flipud</span><span>()</span>
<span># tensor([4, 7, 2]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[</span><span>2</span><span>,</span> <span>7</span><span>,</span> <span>4</span><span>],</span> <span>[</span><span>8</span><span>,</span> <span>3</span><span>,</span> <span>2</span><span>]])</span> <span># 2D tensor </span>
<span>torch</span><span>.</span><span>flipud</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[8, 3, 2], [2, 7, 4]]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>2</span><span>,</span> <span>7</span><span>,</span> <span>4</span><span>],</span> <span>[</span><span>8</span><span>,</span> <span>3</span><span>,</span> <span>2</span><span>]],</span> <span># 3D tensor </span>                          <span>[[</span><span>5</span><span>,</span> <span>0</span><span>,</span> <span>8</span><span>],</span> <span>[</span><span>3</span><span>,</span> <span>6</span><span>,</span> <span>1</span><span>]]])</span>
<span>torch</span><span>.</span><span>flipud</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[5, 0, 8], [3, 6, 1]], # [[2, 7, 4], [8, 3, 2]]]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>2.</span><span>,</span> <span>7.</span><span>,</span> <span>4.</span><span>],</span> <span>[</span><span>8.</span><span>,</span> <span>3.</span><span>,</span> <span>2.</span><span>]],</span> <span># 3D tensor </span>                          <span>[[</span><span>5.</span><span>,</span> <span>0.</span><span>,</span> <span>8.</span><span>],</span> <span>[</span><span>3.</span><span>,</span> <span>6.</span><span>,</span> <span>1.</span><span>]]])</span>
<span>torch</span><span>.</span><span>flipud</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[5., 0., 8.], [3., 6., 1.]], # [[2., 7., 4.], [8., 3., 2.]]]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>2.</span><span>+</span><span>0.j</span><span>,</span> <span>7.</span><span>+</span><span>0.j</span><span>,</span> <span>4.</span><span>+</span><span>0.j</span><span>],</span> <span># 3D tensor </span>                           <span>[</span><span>8.</span><span>+</span><span>0.j</span><span>,</span> <span>3.</span><span>+</span><span>0.j</span><span>,</span> <span>2.</span><span>+</span><span>0.j</span><span>]],</span>
                          <span>[[</span><span>5.</span><span>+</span><span>0.j</span><span>,</span> <span>0.</span><span>+</span><span>0.j</span><span>,</span> <span>8.</span><span>+</span><span>0.j</span><span>],</span>
                           <span>[</span><span>3.</span><span>+</span><span>0.j</span><span>,</span> <span>6.</span><span>+</span><span>0.j</span><span>,</span> <span>1.</span><span>+</span><span>0.j</span><span>]]])</span>
<span>torch</span><span>.</span><span>flipud</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[5.+0.j, 0.+0.j, 8.+0.j], # [3.+0.j, 6.+0.j, 1.+0.j]], # [[2.+0.j, 7.+0.j, 4.+0.j], # [8.+0.j, 3.+0.j, 2.+0.j]]]) </span>                         <span># 3D tensor </span><span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>True</span><span>,</span> <span>False</span><span>,</span> <span>True</span><span>],</span> <span>[</span><span>True</span><span>,</span> <span>False</span><span>,</span> <span>True</span><span>]],</span>
                          <span>[[</span><span>False</span><span>,</span> <span>True</span><span>,</span> <span>False</span><span>],</span> <span>[</span><span>False</span><span>,</span> <span>True</span><span>,</span> <span>False</span><span>]]])</span>
<span>torch</span><span>.</span><span>flipud</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[False, True, False], [False, True, False]], # [[True, False, True], [True, False, True]]]) </span>
import torch

my_tensor = torch.tensor([2, 7, 4]) # 1D tensor 
torch.flipud(input=my_tensor)
my_tensor.flipud()
# tensor([4, 7, 2]) 
my_tensor = torch.tensor([[2, 7, 4], [8, 3, 2]]) # 2D tensor 
torch.flipud(input=my_tensor)
# tensor([[8, 3, 2], [2, 7, 4]]) 
my_tensor = torch.tensor([[[2, 7, 4], [8, 3, 2]], # 3D tensor                           [[5, 0, 8], [3, 6, 1]]])
torch.flipud(input=my_tensor)
# tensor([[[5, 0, 8], [3, 6, 1]], # [[2, 7, 4], [8, 3, 2]]]) 
my_tensor = torch.tensor([[[2., 7., 4.], [8., 3., 2.]], # 3D tensor                           [[5., 0., 8.], [3., 6., 1.]]])
torch.flipud(input=my_tensor)
# tensor([[[5., 0., 8.], [3., 6., 1.]], # [[2., 7., 4.], [8., 3., 2.]]]) 
my_tensor = torch.tensor([[[2.+0.j, 7.+0.j, 4.+0.j], # 3D tensor                            [8.+0.j, 3.+0.j, 2.+0.j]],
                          [[5.+0.j, 0.+0.j, 8.+0.j],
                           [3.+0.j, 6.+0.j, 1.+0.j]]])
torch.flipud(input=my_tensor)
# tensor([[[5.+0.j, 0.+0.j, 8.+0.j], # [3.+0.j, 6.+0.j, 1.+0.j]], # [[2.+0.j, 7.+0.j, 4.+0.j], # [8.+0.j, 3.+0.j, 2.+0.j]]])                          # 3D tensor my_tensor = torch.tensor([[[True, False, True], [True, False, True]],
                          [[False, True, False], [False, True, False]]])
torch.flipud(input=my_tensor)
# tensor([[[False, True, False], [False, True, False]], # [[True, False, True], [True, False, True]]]) 

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fliplr() can get the 2D or more D tensor of the zero or more elements reversed in the left/right direction from the 2D or more D tensor of zero or more elements as shown below:

*Memos:

• fliplr() can be used with torch or a tensor.
• The 1st argument(input) with torch or using a tensor(Required-Type:tensor of int, float, complex or bool).

<span>import</span> <span>torch</span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[</span><span>2</span><span>,</span> <span>7</span><span>,</span> <span>4</span><span>],</span> <span>[</span><span>8</span><span>,</span> <span>3</span><span>,</span> <span>2</span><span>]])</span> <span># 2D tensor </span>
<span>torch</span><span>.</span><span>fliplr</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span>my_tensor</span><span>.</span><span>fliplr</span><span>()</span>
<span># tensor([[4, 7, 2], [2, 3, 8]]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>2</span><span>,</span> <span>7</span><span>,</span> <span>4</span><span>],</span> <span>[</span><span>8</span><span>,</span> <span>3</span><span>,</span> <span>2</span><span>]],</span> <span># 3D tensor </span>                          <span>[[</span><span>5</span><span>,</span> <span>0</span><span>,</span> <span>8</span><span>],</span> <span>[</span><span>3</span><span>,</span> <span>6</span><span>,</span> <span>1</span><span>]]])</span>
<span>torch</span><span>.</span><span>fliplr</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[8, 3, 2], [2, 7, 4]], # [[3, 6, 1], [5, 0, 8]]]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>2.</span><span>,</span> <span>7.</span><span>,</span> <span>4.</span><span>],</span> <span>[</span><span>8.</span><span>,</span> <span>3.</span><span>,</span> <span>2.</span><span>]],</span> <span># 3D tensor </span>                          <span>[[</span><span>5.</span><span>,</span> <span>0.</span><span>,</span> <span>8.</span><span>],</span> <span>[</span><span>3.</span><span>,</span> <span>6.</span><span>,</span> <span>1.</span><span>]]])</span>
<span>torch</span><span>.</span><span>fliplr</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[8., 3., 2.], [2., 7., 4.]], # [[3., 6., 1.], [5., 0., 8.]]]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>2.</span><span>+</span><span>0.j</span><span>,</span> <span>7.</span><span>+</span><span>0.j</span><span>,</span> <span>4.</span><span>+</span><span>0.j</span><span>],</span> <span># 3D tensor </span>                           <span>[</span><span>8.</span><span>+</span><span>0.j</span><span>,</span> <span>3.</span><span>+</span><span>0.j</span><span>,</span> <span>2.</span><span>+</span><span>0.j</span><span>]],</span>
                          <span>[[</span><span>5.</span><span>+</span><span>0.j</span><span>,</span> <span>0.</span><span>+</span><span>0.j</span><span>,</span> <span>8.</span><span>+</span><span>0.j</span><span>],</span>
                           <span>[</span><span>3.</span><span>+</span><span>0.j</span><span>,</span> <span>6.</span><span>+</span><span>0.j</span><span>,</span> <span>1.</span><span>+</span><span>0.j</span><span>]]])</span>
<span>torch</span><span>.</span><span>fliplr</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[8.+0.j, 3.+0.j, 2.+0.j], # [2.+0.j, 7.+0.j, 4.+0.j]], # [[3.+0.j, 6.+0.j, 1.+0.j], # [5.+0.j, 0.+0.j, 8.+0.j]]]) </span>                         <span># 3D tensor </span><span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>True</span><span>,</span> <span>False</span><span>,</span> <span>True</span><span>],</span> <span>[</span><span>True</span><span>,</span> <span>False</span><span>,</span> <span>True</span><span>]],</span>
                          <span>[[</span><span>False</span><span>,</span> <span>True</span><span>,</span> <span>False</span><span>],</span> <span>[</span><span>False</span><span>,</span> <span>True</span><span>,</span> <span>False</span><span>]]])</span>
<span>torch</span><span>.</span><span>fliplr</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[True, False, True], [True, False, True]], # [[False, True, False], [False, True, False]]]) </span>
<span>import</span> <span>torch</span>

<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[</span><span>2</span><span>,</span> <span>7</span><span>,</span> <span>4</span><span>],</span> <span>[</span><span>8</span><span>,</span> <span>3</span><span>,</span> <span>2</span><span>]])</span> <span># 2D tensor </span>
<span>torch</span><span>.</span><span>fliplr</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span>my_tensor</span><span>.</span><span>fliplr</span><span>()</span>
<span># tensor([[4, 7, 2], [2, 3, 8]]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>2</span><span>,</span> <span>7</span><span>,</span> <span>4</span><span>],</span> <span>[</span><span>8</span><span>,</span> <span>3</span><span>,</span> <span>2</span><span>]],</span> <span># 3D tensor </span>                          <span>[[</span><span>5</span><span>,</span> <span>0</span><span>,</span> <span>8</span><span>],</span> <span>[</span><span>3</span><span>,</span> <span>6</span><span>,</span> <span>1</span><span>]]])</span>
<span>torch</span><span>.</span><span>fliplr</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[8, 3, 2], [2, 7, 4]], # [[3, 6, 1], [5, 0, 8]]]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>2.</span><span>,</span> <span>7.</span><span>,</span> <span>4.</span><span>],</span> <span>[</span><span>8.</span><span>,</span> <span>3.</span><span>,</span> <span>2.</span><span>]],</span> <span># 3D tensor </span>                          <span>[[</span><span>5.</span><span>,</span> <span>0.</span><span>,</span> <span>8.</span><span>],</span> <span>[</span><span>3.</span><span>,</span> <span>6.</span><span>,</span> <span>1.</span><span>]]])</span>
<span>torch</span><span>.</span><span>fliplr</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[8., 3., 2.], [2., 7., 4.]], # [[3., 6., 1.], [5., 0., 8.]]]) </span>
<span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>2.</span><span>+</span><span>0.j</span><span>,</span> <span>7.</span><span>+</span><span>0.j</span><span>,</span> <span>4.</span><span>+</span><span>0.j</span><span>],</span> <span># 3D tensor </span>                           <span>[</span><span>8.</span><span>+</span><span>0.j</span><span>,</span> <span>3.</span><span>+</span><span>0.j</span><span>,</span> <span>2.</span><span>+</span><span>0.j</span><span>]],</span>
                          <span>[[</span><span>5.</span><span>+</span><span>0.j</span><span>,</span> <span>0.</span><span>+</span><span>0.j</span><span>,</span> <span>8.</span><span>+</span><span>0.j</span><span>],</span>
                           <span>[</span><span>3.</span><span>+</span><span>0.j</span><span>,</span> <span>6.</span><span>+</span><span>0.j</span><span>,</span> <span>1.</span><span>+</span><span>0.j</span><span>]]])</span>
<span>torch</span><span>.</span><span>fliplr</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[8.+0.j, 3.+0.j, 2.+0.j], # [2.+0.j, 7.+0.j, 4.+0.j]], # [[3.+0.j, 6.+0.j, 1.+0.j], # [5.+0.j, 0.+0.j, 8.+0.j]]]) </span>                         <span># 3D tensor </span><span>my_tensor</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[[</span><span>True</span><span>,</span> <span>False</span><span>,</span> <span>True</span><span>],</span> <span>[</span><span>True</span><span>,</span> <span>False</span><span>,</span> <span>True</span><span>]],</span>
                          <span>[[</span><span>False</span><span>,</span> <span>True</span><span>,</span> <span>False</span><span>],</span> <span>[</span><span>False</span><span>,</span> <span>True</span><span>,</span> <span>False</span><span>]]])</span>
<span>torch</span><span>.</span><span>fliplr</span><span>(</span><span>input</span><span>=</span><span>my_tensor</span><span>)</span>
<span># tensor([[[True, False, True], [True, False, True]], # [[False, True, False], [False, True, False]]]) </span>
import torch

my_tensor = torch.tensor([[2, 7, 4], [8, 3, 2]]) # 2D tensor 
torch.fliplr(input=my_tensor)
my_tensor.fliplr()
# tensor([[4, 7, 2], [2, 3, 8]]) 
my_tensor = torch.tensor([[[2, 7, 4], [8, 3, 2]], # 3D tensor                           [[5, 0, 8], [3, 6, 1]]])
torch.fliplr(input=my_tensor)
# tensor([[[8, 3, 2], [2, 7, 4]], # [[3, 6, 1], [5, 0, 8]]]) 
my_tensor = torch.tensor([[[2., 7., 4.], [8., 3., 2.]], # 3D tensor                           [[5., 0., 8.], [3., 6., 1.]]])
torch.fliplr(input=my_tensor)
# tensor([[[8., 3., 2.], [2., 7., 4.]], # [[3., 6., 1.], [5., 0., 8.]]]) 
my_tensor = torch.tensor([[[2.+0.j, 7.+0.j, 4.+0.j], # 3D tensor                            [8.+0.j, 3.+0.j, 2.+0.j]],
                          [[5.+0.j, 0.+0.j, 8.+0.j],
                           [3.+0.j, 6.+0.j, 1.+0.j]]])
torch.fliplr(input=my_tensor)
# tensor([[[8.+0.j, 3.+0.j, 2.+0.j], # [2.+0.j, 7.+0.j, 4.+0.j]], # [[3.+0.j, 6.+0.j, 1.+0.j], # [5.+0.j, 0.+0.j, 8.+0.j]]])                          # 3D tensor my_tensor = torch.tensor([[[True, False, True], [True, False, True]],
                          [[False, True, False], [False, True, False]]])
torch.fliplr(input=my_tensor)
# tensor([[[True, False, True], [True, False, True]], # [[False, True, False], [False, True, False]]]) 

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原文链接：flipud and fliplr in PyTorch