Python3 函数前 '*' 的用途
Purpose of '*' in front of Python3 function
我在 Python3 和 PyTorch here 中看到了 ResNet CNN 的代码如下:
def resnet_block(input_channels, num_channels, num_residuals,
first_block=False):
blk = []
for i in range(num_residuals):
if i == 0 and not first_block:
blk.append(Residual(input_channels, num_channels,
use_1x1conv=True, strides=2))
else:
blk.append(Residual(num_channels, num_channels))
return blk
添加模块,使用如下代码-
b2 = nn.Sequential(*resnet_block(64, 64, 2, first_block=True))
b3 = nn.Sequential(*resnet_block(64, 128, 2))
b4 = nn.Sequential(*resnet_block(128, 256, 2))
b5 = nn.Sequential(*resnet_block(256, 512, 2))
什么是“*resnet_block()”mean/do?
基本上*iterable
用于将可迭代对象的项目解包为位置参数。在您的问题中 resnet_block
returns 一个列表,该列表的项目被传递给 nn.Sequential
而不是列表本身。
我在 Python3 和 PyTorch here 中看到了 ResNet CNN 的代码如下:
def resnet_block(input_channels, num_channels, num_residuals,
first_block=False):
blk = []
for i in range(num_residuals):
if i == 0 and not first_block:
blk.append(Residual(input_channels, num_channels,
use_1x1conv=True, strides=2))
else:
blk.append(Residual(num_channels, num_channels))
return blk
添加模块,使用如下代码-
b2 = nn.Sequential(*resnet_block(64, 64, 2, first_block=True))
b3 = nn.Sequential(*resnet_block(64, 128, 2))
b4 = nn.Sequential(*resnet_block(128, 256, 2))
b5 = nn.Sequential(*resnet_block(256, 512, 2))
什么是“*resnet_block()”mean/do?
基本上*iterable
用于将可迭代对象的项目解包为位置参数。在您的问题中 resnet_block
returns 一个列表,该列表的项目被传递给 nn.Sequential
而不是列表本身。