mindspore.ops.Log
- class mindspore.ops.Log[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.
- Inputs:
x (Tensor) - Input Tensor of any dimension. The value must be greater than 0.
Note
The dimension of the input Tensor on Ascend should be less than or equal to 8, and the dimension of the input Tensor on the CPU should be less than 8.
- Outputs:
Tensor, has the same shape and dtype as the x.
- Raises
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> x = Tensor(np.array([1.0, 2.0, 4.0]), mindspore.float32) >>> log = ops.Log() >>> output = log(x) >>> print(output) [0. 0.6931472 1.3862944]