torch.tanh¶
Returns a new tensor with the hyperbolic tangent of the elements of input .
input (Tensor) – the input tensor.
out (Tensor, optional) – the output tensor.
>>> a = torch.randn(4) >>> a tensor([ 0.8986, -0.7279, 1.1745, 0.2611]) >>> torch.tanh(a) tensor([ 0.7156, -0.6218, 0.8257, 0.2553])
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Tanh¶
Applies the Hyperbolic Tangent (Tanh) function element-wise.
Tanh ( x ) = tanh ( x ) = exp ( x ) − exp ( − x ) exp ( x ) + exp ( − x ) \text
Shape:
- Input: ( ∗ ) (*) ( ∗ ) , where ∗ * ∗ means any number of dimensions.
- Output: ( ∗ ) (*) ( ∗ ) , same shape as the input.
>>> m = nn.Tanh() >>> input = torch.randn(2) >>> output = m(input)
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Tanhshrink¶
Shape:
- Input: ( ∗ ) (*) ( ∗ ) , where ∗ * ∗ means any number of dimensions.
- Output: ( ∗ ) (*) ( ∗ ) , same shape as the input.
>>> m = nn.Tanhshrink() >>> input = torch.randn(2) >>> output = m(input)
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