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 is subject to change.

Inputs:

x (Tensor) - The input tensor. The data type must be float16, float32 or float64. The value must be greater than 0. \((N,*)\) where \(*\) means, any number of additional dimensions, its rank should be less than 8.

Outputs:

Tensor, has the same shape and dtype as the x.

Raises

TypeError – If x is not a Tensor.
TypeError – If dtype of x is not float16, float32 or float64.

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]