mindspore.ops.coo_relu
- mindspore.ops.coo_relu(x: COOTensor)[source]
Computes ReLU (Rectified Linear Unit activation function) of input coo_tensors element-wise.
It returns \(\max(x,\ 0)\) element-wise. Specially, the neurons with the negative output will be suppressed and the active neurons will stay the same.
\[ReLU(x) = (x)^+ = \max(0, x)\]- Parameters
x (COOTensor) – Input COOTensor with shape \((N, *)\), where \(*\) means any number of additional dimensions. Its dtype is number.
- Returns
COOTensor, has the same shape and dtype 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_relu(x) >>> print(output.values) [0. 2.]