mindspore.Tensor.tanh
- Tensor.tanh()[source]
Tanh activation function.
Computes hyperbolic tangent of self Tensor element-wise. The Tanh function is defined as:
\[tanh(x_i) = \frac{\exp(x_i) - \exp(-x_i)}{\exp(x_i) + \exp(-x_i)} = \frac{\exp(2x_i) - 1}{\exp(2x_i) + 1},\]where \(x_i\) is an element of the self Tensor.
- Returns
Tensor, with the same dtype and shape as self.
- Raises
TypeError – If dtype of self tensor is not float16, float32, float64, complex64 or complex128.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> input_x = Tensor(np.array([1, 2, 3, 4, 5]), mindspore.float32) >>> output = input_x.tanh() >>> print(output) [0.7615941 0.9640276 0.9950547 0.9993293 0.9999092]