mindspore.ops.log
- mindspore.ops.log(input)[source]
Returns the natural logarithm of a tensor element-wise.
\[y_i = \log_e(x_i)\]Warning
If the input value of operator Log is within the range (0, 0.01] or [0.95, 1.05], the output accuracy may be affacted.
- Parameters
input (Tensor) – Input Tensor of any dimension. The value must be greater than 0.
- Returns
Tensor, has the same shape and dtype as the input.
- Raises
TypeError – If input is not a Tensor.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore >>> import numpy as np >>> from mindspore import Tensor, ops >>> x = Tensor(np.array([1.0, 2.0, 4.0]), mindspore.float32) >>> output = ops.log(x) >>> print(output) [0. 0.6931472 1.3862944]