比较与torch.nn.Sigmoid的功能差异

class torch.nn.Sigmoid()(input) -> Tensor

class mindspore.nn.Sigmoid()(input_x) -> Tensor

# PyTorch
import torch
from torch import tensor

input_x = tensor([-1, -2, 0, 2, 1], dtype=torch.float32)
sigmoid = torch.nn.Sigmoid()
output = sigmoid(input_x).numpy()
print(output)
# [0.26894143 0.11920292 0.5        0.880797   0.7310586 ]

# MindSpore
import mindspore
from mindspore import Tensor

input_x = Tensor([-1, -2, 0, 2, 1], mindspore.float32)
sigmoid = mindspore.nn.Sigmoid()
output = sigmoid(input_x)
print(output)
# [0.26894143 0.11920292 0.5        0.8807971  0.7310586 ]