log:
    description: |
        Returns the natural logarithm of a tensor element-wise.

        .. math::
            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.

        Args:
            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]