Function Differences with torch.nn.init.uniform_

torch.nn.init.uniform_(
    tensor,
    a=0.0,
    b=1.0
) -> Tensor

mindspore.ops.uniform(shape, minval, maxval, seed=None, dtype=mstype.float32) -> Tensor

# PyTorch
import torch
from torch import nn

w = torch.empty(3, 2)
output = nn.init.uniform_(w, a=1, b=4)
print(tuple(output.shape))
# (3, 2)

# MindSpore
import numpy as np
import mindspore
from mindspore import ops
from mindspore import Tensor

shape = (3,2)
minval = Tensor(1, mindspore.float32)
maxval = Tensor(4, mindspore.float32)
output = ops.uniform(shape, minval, maxval, dtype=mindspore.float32)
print(output.shape)
# Out：
# (3, 2)