mindspore.ops.csr_tanh

mindspore.ops.csr_tanh(x: CSRTensor)

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 CSRTensor.

Parameters

x (CSRTensor) – Input CSRTensor, with float16 or float32 data type.

Returns

CSRTensor, with the same type and shape as the x.

Raises

• TypeError – If dtype of x is neither float16 nor float32.

• TypeError – If x is not a CSRTensor.

Supported Platforms:

Ascend GPU CPU

Examples

>>> from mindspore import dtype as mstype
>>> from mindspore import Tensor, ops, CSRTensor
>>> indptr = Tensor([0, 1, 2, 2], dtype=mstype.int32)
>>> indices = Tensor([3, 0], dtype=mstype.int32)
>>> values = Tensor([-1, 2], dtype=mstype.float32)
>>> shape = (3, 4)
>>> x = CSRTensor(indptr, indices, values, shape)
>>> output = ops.csr_tanh(x)
>>> print(output.values)
[-0.7615942  0.9640276]