比较与torch.ones的差异

torch.ones(*size, *, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False) -> Tensor

mindspore.ops.ones(shape, dtype=dtype) -> Tensor

# PyTorch
import torch
from torch import tensor

output = torch.ones(2, 2, dtype=torch.float32)
print(output.numpy())
# [[1. 1.]
#  [1. 1.]]

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

output = ops.ones((2, 2), dtype=ms.float32).asnumpy()
print(output)
# [[1. 1.]
#  [1. 1.]]