mindspore.ops.Lerp

class mindspore.ops.Lerp[source]

Does a linear interpolation of two tensors start and end based on a float or tensor weight.

Refer to mindspore.ops.lerp() for more details.

Inputs:

start (Tensor) - The tensor with the starting points. Data type must be float16 or float32.
end (Tensor) - The tensor with the ending points. Data type must be the same as start.
weight (Union[float, Tensor]) - The weight for the interpolation formula. Must be a float or a scalar tensor with float16 or float32 data type.

Outputs:

Tensor, has the same type and shape as input start.

Supported Platforms:

Ascend GPU CPU

Examples

>>> start = Tensor(np.array([1., 2., 3., 4.]), mindspore.float32)
>>> end = Tensor(np.array([10., 10., 10., 10.]), mindspore.float32)
>>> lerp = ops.Lerp()
>>> output = lerp(start, end, 0.5)
>>> print(output)
[5.5 6. 6.5 7. ]