mindspore.ops.csr_log

mindspore.ops.csr_log(x: CSRTensor)[source]

Returns the natural logarithm of a CSRTensor 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

x (CSRTensor) – The value must be greater than 0.

Returns

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

Raises

TypeError – If x is not a CSRTensor.
TypeError – If dtype of x is not float16, float32 or float64 on GPU and CPU.
TypeError – If dtype of x is not float16 or float32 on Ascend.

Supported Platforms:: Ascend GPU CPU

Examples

>>> from mindspore import dtype as mstype
>>> from mindspore import Tensor, ops, CSRTensor
>>> indptr = Tensor([0, 1, 2, 2], dtype=mstype.int32)
>>> indices = Tensor([3, 0], dtype=mstype.int32)
>>> values = Tensor([-1, 2], dtype=mstype.float32)
>>> shape = (3, 4)
>>> x = CSRTensor(indptr, indices, values, shape)
>>> output = ops.csr_log(x)
>>> print(output.values)
[       nan 0.69314575]