mul in PyTorch

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*Memos:

• My post explains add().
• My post explains sub().
• My post explains div().
• My post explains remainder().
• My post explains fmod().

mul() can do multiplication with two of the 0D or more D tensors of zero or more elements or scalars or the 0D or more D tensor of zero or more elements and a scalar. getting the 0D or more D tensor of zero or more elements as shown below:

*Memos:

• mul() can be used with torch or a tensor.
• The 1st argument(input) with torch(Type:tensor or scalar of int, float, complex or bool) or using a tensor(Type:tensor of int, float, complex or bool)(Required).
• The 2nd argument with torch or the 1st argument with a tensor is other(Required-Type:tensor or scalar of int, float, complex or bool).
• There is out argument with torch(Optional-Default:None-Type:tensor): *Memos:
  • out= must be used.
  • My post explains out argument.
• multiply() is the alias of mul().

<span>import</span> <span>torch</span>
<span>tensor1</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([</span><span>9</span><span>,</span> <span>7</span><span>,</span> <span>6</span><span>])</span>
<span>tensor2</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[</span><span>4</span><span>,</span> <span>-</span><span>4</span><span>,</span> <span>3</span><span>],</span> <span>[</span><span>-</span><span>2</span><span>,</span> <span>5</span><span>,</span> <span>-</span><span>5</span><span>]])</span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span>tensor1</span><span>.</span><span>mul</span><span>(</span><span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[36, -28, 18], [-18, 35, -30]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>9</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[36, -36, 27], [-18, 45, -45]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>4</span><span>)</span>
<span># tensor([36, 28, 24]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>9</span><span>,</span> <span>other</span><span>=</span><span>4</span><span>)</span>
<span># tensor(36) </span>
<span>tensor1</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([</span><span>9.</span><span>,</span> <span>7.</span><span>,</span> <span>6.</span><span>])</span>
<span>tensor2</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[</span><span>4.</span><span>,</span> <span>-</span><span>4.</span><span>,</span> <span>3.</span><span>],</span> <span>[</span><span>-</span><span>2.</span><span>,</span> <span>5.</span><span>,</span> <span>-</span><span>5.</span><span>]])</span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[36., -28., 18.], [-18., 35., -30.]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>9.</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[36., -36., 27.], [-18., 45., -45.]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>4.</span><span>)</span>
<span># tensor([36., 28., 24.]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>9.</span><span>,</span> <span>other</span><span>=</span><span>4.</span><span>)</span>
<span># tensor(36.) </span>
<span>tensor1</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([</span><span>9.</span><span>+</span><span>0.j</span><span>,</span> <span>7.</span><span>+</span><span>0.j</span><span>,</span> <span>6.</span><span>+</span><span>0.j</span><span>])</span>
<span>tensor2</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[</span><span>4.</span><span>+</span><span>0.j</span><span>,</span> <span>-</span><span>4.</span><span>+</span><span>0.j</span><span>,</span> <span>3.</span><span>+</span><span>0.j</span><span>],</span>
                        <span>[</span><span>-</span><span>2.</span><span>+</span><span>0.j</span><span>,</span> <span>5.</span><span>+</span><span>0.j</span><span>,</span> <span>-</span><span>5.</span><span>+</span><span>0.j</span><span>]])</span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[36.+0.j, -28.+0.j, 18.+0.j], # [-18.+0.j, 35.+0.j, -30.+0.j]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>9.</span><span>+</span><span>0.j</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[36.+0.j, -36.+0.j, 27.+0.j], # [-18.+0.j, 45.+0.j, -45.+0.j]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>4.</span><span>+</span><span>0.j</span><span>)</span>
<span># tensor([36.+0.j, 28.+0.j, 24.+0.j]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>9.</span><span>+</span><span>0.j</span><span>,</span> <span>other</span><span>=</span><span>4.</span><span>+</span><span>0.j</span><span>)</span>
<span># tensor(36.+0.j) </span>
<span>tensor1</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>tensor2</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[</span><span>False</span><span>,</span> <span>True</span><span>,</span> <span>False</span><span>],</span> <span>[</span><span>True</span><span>,</span> <span>False</span><span>,</span> <span>True</span><span>]])</span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[False, False, False], # [True, False, True]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>True</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[False, True, False], [True, False, True]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>False</span><span>)</span>
<span># tensor([False, False, False]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>True</span><span>,</span> <span>other</span><span>=</span><span>False</span><span>)</span>
<span># tensor(False) </span>
<span>import</span> <span>torch</span>

<span>tensor1</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([</span><span>9</span><span>,</span> <span>7</span><span>,</span> <span>6</span><span>])</span>
<span>tensor2</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[</span><span>4</span><span>,</span> <span>-</span><span>4</span><span>,</span> <span>3</span><span>],</span> <span>[</span><span>-</span><span>2</span><span>,</span> <span>5</span><span>,</span> <span>-</span><span>5</span><span>]])</span>

<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span>tensor1</span><span>.</span><span>mul</span><span>(</span><span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[36, -28, 18], [-18, 35, -30]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>9</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[36, -36, 27], [-18, 45, -45]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>4</span><span>)</span>
<span># tensor([36, 28, 24]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>9</span><span>,</span> <span>other</span><span>=</span><span>4</span><span>)</span>
<span># tensor(36) </span>
<span>tensor1</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([</span><span>9.</span><span>,</span> <span>7.</span><span>,</span> <span>6.</span><span>])</span>
<span>tensor2</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[</span><span>4.</span><span>,</span> <span>-</span><span>4.</span><span>,</span> <span>3.</span><span>],</span> <span>[</span><span>-</span><span>2.</span><span>,</span> <span>5.</span><span>,</span> <span>-</span><span>5.</span><span>]])</span>

<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[36., -28., 18.], [-18., 35., -30.]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>9.</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[36., -36., 27.], [-18., 45., -45.]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>4.</span><span>)</span>
<span># tensor([36., 28., 24.]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>9.</span><span>,</span> <span>other</span><span>=</span><span>4.</span><span>)</span>
<span># tensor(36.) </span>
<span>tensor1</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([</span><span>9.</span><span>+</span><span>0.j</span><span>,</span> <span>7.</span><span>+</span><span>0.j</span><span>,</span> <span>6.</span><span>+</span><span>0.j</span><span>])</span>
<span>tensor2</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[</span><span>4.</span><span>+</span><span>0.j</span><span>,</span> <span>-</span><span>4.</span><span>+</span><span>0.j</span><span>,</span> <span>3.</span><span>+</span><span>0.j</span><span>],</span>
                        <span>[</span><span>-</span><span>2.</span><span>+</span><span>0.j</span><span>,</span> <span>5.</span><span>+</span><span>0.j</span><span>,</span> <span>-</span><span>5.</span><span>+</span><span>0.j</span><span>]])</span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[36.+0.j, -28.+0.j, 18.+0.j], # [-18.+0.j, 35.+0.j, -30.+0.j]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>9.</span><span>+</span><span>0.j</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[36.+0.j, -36.+0.j, 27.+0.j], # [-18.+0.j, 45.+0.j, -45.+0.j]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>4.</span><span>+</span><span>0.j</span><span>)</span>
<span># tensor([36.+0.j, 28.+0.j, 24.+0.j]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>9.</span><span>+</span><span>0.j</span><span>,</span> <span>other</span><span>=</span><span>4.</span><span>+</span><span>0.j</span><span>)</span>
<span># tensor(36.+0.j) </span>
<span>tensor1</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>tensor2</span> <span>=</span> <span>torch</span><span>.</span><span>tensor</span><span>([[</span><span>False</span><span>,</span> <span>True</span><span>,</span> <span>False</span><span>],</span> <span>[</span><span>True</span><span>,</span> <span>False</span><span>,</span> <span>True</span><span>]])</span>

<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[False, False, False], # [True, False, True]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>True</span><span>,</span> <span>other</span><span>=</span><span>tensor2</span><span>)</span>
<span># tensor([[False, True, False], [True, False, True]]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>tensor1</span><span>,</span> <span>other</span><span>=</span><span>False</span><span>)</span>
<span># tensor([False, False, False]) </span>
<span>torch</span><span>.</span><span>mul</span><span>(</span><span>input</span><span>=</span><span>True</span><span>,</span> <span>other</span><span>=</span><span>False</span><span>)</span>
<span># tensor(False) </span>
import torch

tensor1 = torch.tensor([9, 7, 6])
tensor2 = torch.tensor([[4, -4, 3], [-2, 5, -5]])

torch.mul(input=tensor1, other=tensor2)
tensor1.mul(other=tensor2)
# tensor([[36, -28, 18], [-18, 35, -30]]) 
torch.mul(input=9, other=tensor2)
# tensor([[36, -36, 27], [-18, 45, -45]]) 
torch.mul(input=tensor1, other=4)
# tensor([36, 28, 24]) 
torch.mul(input=9, other=4)
# tensor(36) 
tensor1 = torch.tensor([9., 7., 6.])
tensor2 = torch.tensor([[4., -4., 3.], [-2., 5., -5.]])

torch.mul(input=tensor1, other=tensor2)
# tensor([[36., -28., 18.], [-18., 35., -30.]]) 
torch.mul(input=9., other=tensor2)
# tensor([[36., -36., 27.], [-18., 45., -45.]]) 
torch.mul(input=tensor1, other=4.)
# tensor([36., 28., 24.]) 
torch.mul(input=9., other=4.)
# tensor(36.) 
tensor1 = torch.tensor([9.+0.j, 7.+0.j, 6.+0.j])
tensor2 = torch.tensor([[4.+0.j, -4.+0.j, 3.+0.j],
                        [-2.+0.j, 5.+0.j, -5.+0.j]])
torch.mul(input=tensor1, other=tensor2)
# tensor([[36.+0.j, -28.+0.j, 18.+0.j], # [-18.+0.j, 35.+0.j, -30.+0.j]]) 
torch.mul(input=9.+0.j, other=tensor2)
# tensor([[36.+0.j, -36.+0.j, 27.+0.j], # [-18.+0.j, 45.+0.j, -45.+0.j]]) 
torch.mul(input=tensor1, other=4.+0.j)
# tensor([36.+0.j, 28.+0.j, 24.+0.j]) 
torch.mul(input=9.+0.j, other=4.+0.j)
# tensor(36.+0.j) 
tensor1 = torch.tensor([True, False, True])
tensor2 = torch.tensor([[False, True, False], [True, False, True]])

torch.mul(input=tensor1, other=tensor2)
# tensor([[False, False, False], # [True, False, True]]) 
torch.mul(input=True, other=tensor2)
# tensor([[False, True, False], [True, False, True]]) 
torch.mul(input=tensor1, other=False)
# tensor([False, False, False]) 
torch.mul(input=True, other=False)
# tensor(False) 

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原文链接：mul in PyTorch