mindspore.ops.coo_log1p

mindspore.ops.coo_log1p(x: COOTensor)[source]

Returns the natural logarithm of one plus the input COOTensor element-wise.

\[out_i = ext{log_e}(x_i + 1)\]

Parameters

x (COOTensor) – The input COOTensor, should have dtype of float16 or float32 and its value should be greater than -1.

Returns

COOTensor, has the same shape as the x.

Raises

TypeError – If x is not a COOTensor.
TypeError – If dtype of x is neither float16 nor float32.

Supported Platforms:: Ascend GPU CPU

Examples

>>> from mindspore import dtype as mstype
>>> from mindspore import Tensor, ops, COOTensor
>>> indices = Tensor([[0, 1], [1, 2]], dtype=mstype.int64)
>>> values = Tensor([-1, 2], dtype=mstype.float32)
>>> shape = (3, 4)
>>> x = COOTensor(indices, values, shape)
>>> output = ops.coo_log1p(x)
>>> print(output.values)
[     -inf 1.0986123]