mindspore.ops.coo_tanh
- mindspore.ops.coo_tanh(x: COOTensor)[source]
Computes hyperbolic tangent of input 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 input COOTensor.
- Parameters
x (COOTensor) – Input COOTensor, with float16 or float32 data type.
- Returns
COOTensor, with the same type and shape as the x.
- Raises
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> from mindspore import dtype as mstype >>> from mindspore import Tensor, ops, COOTensor >>> indices = Tensor([[0, 1], [1, 2]], dtype=mstype.int64) >>> values = Tensor([-1, 2], dtype=mstype.float32) >>> shape = (3, 4) >>> x = COOTensor(indices, values, shape) >>> output = ops.coo_tanh(x) >>> print(output.values) [-0.7615942 0.9640276]