Differences with torch.mvlgamma

torch.mvlgamma

torch.mvlgamma(input, p) -> Tensor

For more information, see torch.mvlgamma.

mindspore.ops.mvlgamma(input, p) -> Tensor

For more information, see mindspore.ops.mvlgamma.

MindSpore API function is consistent with that of PyTorch, with differences in the data types supported by the parameters.

PyTorch: The dtype of the parameter input can be int or float.

MindSpore: The dtype of the parameter input can be float32 or float64.

Categories	Subcategories	PyTorch	MindSpore	Difference
Parameters	Parameter 1	input	input	Both are Tensor, and the dtype of the parameter `input` in torch.mvlgamma can be `int` or `float`. The dtype of the parameter `input` in mindspore.ops.mvlgamma can be `float32` or `float64`.
	Parameter 2	p	p	-