mindspore.ops.csr_sigmoid
- mindspore.ops.csr_sigmoid(x: CSRTensor)[source]
Sigmoid activation function.
Computes Sigmoid of input element-wise. The Sigmoid function is defined as:
\[\text{csr_sigmoid}(x_i) = \frac{1}{1 + \exp(-x_i)}\]where \(x_i\) is an element of the x.
- Parameters
x (CSRTensor) – Input CSRTensor, the data type is float16, float32, float64, complex64 or complex128.
- Returns
CSRTensor, 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, 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_sigmoid(x) >>> print(output.values) [0.26894143 0.8807971 ]