{"id":1134375,"date":"2025-01-08T21:15:08","date_gmt":"2025-01-08T13:15:08","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1134375.html"},"modified":"2025-01-08T21:15:11","modified_gmt":"2025-01-08T13:15:11","slug":"%e5%a6%82%e4%bd%95%e5%b0%86python%e4%b8%adnet%e8%bd%ac%e6%8d%a2%e6%88%900","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1134375.html","title":{"rendered":"\u5982\u4f55\u5c06python\u4e2dnet\u8f6c\u6362\u62100"},"content":{"rendered":"

\"\u5982\u4f55\u5c06python\u4e2dnet\u8f6c\u6362\u62100\"<\/p>\n

\u8981\u5c06Python\u4e2d\u7684\u6d6e\u70b9\u6570net\u8f6c\u6362\u4e3a\u6574\u65700\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528int()\u51fd\u6570\u3001\u4f7f\u7528round()\u51fd\u6570\u3001\u4f7f\u7528floor()\u548cceil()\u51fd\u6570\u3002\u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709\u5176\u9002\u7528\u573a\u666f\u548c\u4f18\u7f3a\u70b9\u3002<\/strong><\/p>\n<\/p>\n

\u5176\u4e2d\uff0c\u6700\u5e38\u89c1\u548c\u76f4\u63a5\u7684\u65b9\u6cd5\u662f\u4f7f\u7528int()<\/code>\u51fd\u6570\uff0c\u5c06\u6d6e\u70b9\u6570\u76f4\u63a5\u8f6c\u6362\u4e3a\u6574\u6570\u3002int()<\/code>\u51fd\u6570\u4f1a\u622a\u65ad\u5c0f\u6570\u90e8\u5206<\/strong>\uff0c\u4e0d\u8fdb\u884c\u56db\u820d\u4e94\u5165\uff0c\u56e0\u6b64\u5b83\u9002\u7528\u4e8e\u5927\u591a\u6570\u9700\u8981\u5c06\u6d6e\u70b9\u6570\u8f6c\u6362\u4e3a\u6574\u6570\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n

\u4ee5\u4e0b\u662f\u9488\u5bf9\u5982\u4f55\u5c06Python\u4e2d\u6d6e\u70b9\u6570net\u8f6c\u6362\u4e3a\u6574\u65700\u7684\u8be6\u7ec6\u5206\u6790\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528int()\u51fd\u6570<\/h2>\n<\/p>\n

1\u3001\u57fa\u672c\u7528\u6cd5<\/h3>\n<\/p>\n

int()<\/code>\u51fd\u6570\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7c7b\u578b\u8f6c\u6362\u51fd\u6570\u4e4b\u4e00\uff0c\u5b83\u53ef\u4ee5\u5c06\u6d6e\u70b9\u6570\u3001\u5b57\u7b26\u4e32\u7b49\u8f6c\u6362\u4e3a\u6574\u6570\u3002\u5bf9\u4e8e\u6d6e\u70b9\u6570\uff0c\u5b83\u4f1a\u76f4\u63a5\u622a\u65ad\u5c0f\u6570\u90e8\u5206\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n

net = 3.14<\/p>\n
result = int(net)<\/p>\n
print(result)  # \u8f93\u51fa: 3<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6d6e\u70b9\u65703.14<\/code>\u88ab\u8f6c\u6362\u4e3a\u6574\u65703<\/code>\uff0c\u5c0f\u6570\u90e8\u5206\u88ab\u76f4\u63a5\u622a\u65ad\u3002<\/p>\n<\/p>\n
2\u3001\u5904\u7406\u8d1f\u6570<\/h3>\n<\/p>\n
int()<\/code>\u51fd\u6570\u540c\u6837\u9002\u7528\u4e8e\u8d1f\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
net = -3.14<\/p>\n
result = int(net)<\/p>\n
print(result)  # \u8f93\u51fa: -3<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8d1f\u6570-3.14<\/code>\u88ab\u8f6c\u6362\u4e3a\u6574\u6570-3<\/code>\uff0c\u540c\u6837\u662f\u76f4\u63a5\u622a\u65ad\u5c0f\u6570\u90e8\u5206\u3002<\/p>\n<\/p>\n
3\u3001\u5c06net\u8f6c\u6362\u4e3a0<\/h3>\n<\/p>\n
\u5982\u679c\u9700\u8981\u5c06\u4efb\u610f\u6d6e\u70b9\u6570net\u8f6c\u6362\u4e3a0\uff0c\u53ef\u4ee5\u7ed3\u5408\u6761\u4ef6\u5224\u65ad\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
net = 3.14<\/p>\n
result = int(net) if net > 0 else 0<\/p>\n
print(result)  # \u8f93\u51fa: 3<\/p>\n
net = 0.0<\/p>\n
result = int(net) if net > 0 else 0<\/p>\n
print(result)  # \u8f93\u51fa: 0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u5982\u679cnet\u4e3a\u6b63\u6570\uff0c\u8f6c\u6362\u4e3a\u6574\u6570\uff1b\u5982\u679cnet\u4e3a0\u6216\u8d1f\u6570\uff0c\u76f4\u63a5\u8d4b\u503c\u4e3a0\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528round()\u51fd\u6570<\/h2>\n<\/p>\n
1\u3001\u57fa\u672c\u7528\u6cd5<\/h3>\n<\/p>\n
round()<\/code>\u51fd\u6570\u7528\u4e8e\u5c06\u6d6e\u70b9\u6570\u56db\u820d\u4e94\u5165\u4e3a\u6700\u8fd1\u7684\u6574\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
net = 3.6<\/p>\n
result = round(net)<\/p>\n
print(result)  # \u8f93\u51fa: 4<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5904\u7406\u8d1f\u6570<\/h3>\n<\/p>\n
round()<\/code>\u51fd\u6570\u540c\u6837\u9002\u7528\u4e8e\u8d1f\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
net = -3.6<\/p>\n
result = round(net)<\/p>\n
print(result)  # \u8f93\u51fa: -4<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u5c06net\u8f6c\u6362\u4e3a0<\/h3>\n<\/p>\n
\u4f7f\u7528round()<\/code>\u51fd\u6570\u5c06net\u8f6c\u6362\u4e3a0\uff0c\u53ef\u4ee5\u7ed3\u5408\u6761\u4ef6\u5224\u65ad\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
net = 3.6<\/p>\n
result = round(net) if net > 0 else 0<\/p>\n
print(result)  # \u8f93\u51fa: 4<\/p>\n
net = 0.0<\/p>\n
result = round(net) if net > 0 else 0<\/p>\n
print(result)  # \u8f93\u51fa: 0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528math.floor()\u548cmath.ceil()\u51fd\u6570<\/h2>\n<\/p>\n
1\u3001math.floor()\u51fd\u6570<\/h3>\n<\/p>\n
math.floor()<\/code>\u51fd\u6570\u7528\u4e8e\u5411\u4e0b\u53d6\u6574\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import math<\/p>\n
net = 3.6<\/p>\n
result = math.floor(net)<\/p>\n
print(result)  # \u8f93\u51fa: 3<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001math.ceil()\u51fd\u6570<\/h3>\n<\/p>\n
math.ceil()<\/code>\u51fd\u6570\u7528\u4e8e\u5411\u4e0a\u53d6\u6574\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import math<\/p>\n
net = 3.6<\/p>\n
result = math.ceil(net)<\/p>\n
print(result)  # \u8f93\u51fa: 4<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u5c06net\u8f6c\u6362\u4e3a0<\/h3>\n<\/p>\n
\u4f7f\u7528math.floor()<\/code>\u6216math.ceil()<\/code>\u51fd\u6570\u5c06net\u8f6c\u6362\u4e3a0\uff0c\u53ef\u4ee5\u7ed3\u5408\u6761\u4ef6\u5224\u65ad\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import math<\/p>\n
net = 3.6<\/p>\n
result = math.floor(net) if net > 0 else 0<\/p>\n
print(result)  # \u8f93\u51fa: 3<\/p>\n
net = 0.0<\/p>\n
result = math.ceil(net) if net > 0 else 0<\/p>\n
print(result)  # \u8f93\u51fa: 0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u5904\u7406\u7279\u6b8a\u60c5\u51b5<\/h2>\n<\/p>\n
1\u3001\u5904\u7406NaN\u548cInf<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u4f1a\u9047\u5230NaN\uff08Not a Number\uff09\u548cInf\uff08Infinity\uff09\u7b49\u7279\u6b8a\u503c\u3002\u53ef\u4ee5\u4f7f\u7528math.isnan()<\/code>\u548cmath.isinf()<\/code>\u51fd\u6570\u8fdb\u884c\u5224\u65ad\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import math<\/p>\n
net = float('nan')<\/p>\n
if math.isnan(net):<\/p>\n
    result = 0<\/p>\n
elif math.isinf(net):<\/p>\n
    result = 0<\/p>\n
else:<\/p>\n
    result = int(net) if net > 0 else 0<\/p>\n
print(result)  # \u8f93\u51fa: 0<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5904\u7406\u5b57\u7b26\u4e32\u8f93\u5165<\/h3>\n<\/p>\n
\u5982\u679cnet\u662f\u5b57\u7b26\u4e32\uff0c\u53ef\u4ee5\u5148\u5c06\u5176\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\uff0c\u7136\u540e\u518d\u8fdb\u884c\u5904\u7406\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
net = "3.14"<\/p>\n
try:<\/p>\n
    net_float = float(net)<\/p>\n
    result = int(net_float) if net_float > 0 else 0<\/p>\n
except ValueError:<\/p>\n
    result = 0<\/p>\n
print(result)  # \u8f93\u51fa: 3<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7efc\u4e0a\u6240\u8ff0\uff0c\u5c06Python\u4e2d\u7684\u6d6e\u70b9\u6570net\u8f6c\u6362\u4e3a\u6574\u65700\u6709\u591a\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528int()<\/code>\u51fd\u6570\u3001round()<\/code>\u51fd\u6570\u3001math.floor()<\/code>\u548cmath.ceil()<\/code>\u51fd\u6570\u3002\u6700\u5e38\u89c1\u548c\u76f4\u63a5\u7684\u65b9\u6cd5\u662f\u4f7f\u7528int()<\/code>\u51fd\u6570\uff0c\u5b83\u4f1a\u76f4\u63a5\u622a\u65ad\u5c0f\u6570\u90e8\u5206\u3002\u6839\u636e\u5b9e\u9645\u9700\u6c42\uff0c\u53ef\u4ee5\u9009\u62e9\u9002\u5408\u7684\u65b9\u6cd5\u8fdb\u884c\u8f6c\u6362\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5c06net\u5bf9\u8c61\u8f6c\u6362\u4e3a0\uff1f<\/strong><\/p>\n
\u5728Python\u4e2d\uff0cnet\u5bf9\u8c61\u901a\u5e38\u6307\u7684\u662f\u7f51\u7edc\u76f8\u5173\u7684\u5bf9\u8c61\u6216\u7ed3\u6784\u3002\u5982\u679c\u4f60\u7684\u76ee\u6807\u662f\u5c06\u4e00\u4e2anet\u5bf9\u8c61\u7684\u503c\u6216\u72b6\u6001\u8bbe\u7f6e\u4e3a0\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u5177\u4f53\u7684\u65b9\u6cd5\u6765\u5b9e\u73b0\u3002\u5177\u4f53\u7684\u5b9e\u73b0\u65b9\u5f0f\u53ef\u80fd\u4f9d\u8d56\u4e8e\u4f7f\u7528\u7684\u5e93\u6216\u6846\u67b6\uff0c\u6bd4\u5982PyTorch\u3001TensorFlow\u7b49\u3002\u4f60\u53ef\u4ee5\u68c0\u67e5\u8be5\u5bf9\u8c61\u7684\u5c5e\u6027\u5e76\u8bbe\u7f6e\u5b83\u4eec\u4e3a0\u3002\u4f8b\u5982\uff0c\u5982\u679c\u662f\u4e00\u4e2a\u5f20\u91cf\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528tensor.zero_()<\/code>\u65b9\u6cd5\u3002<\/p>\n
\u5728Python\u4e2d\uff0cnet\u5bf9\u8c61\u7684\u7c7b\u578b\u4f1a\u5f71\u54cd\u8f6c\u6362\u5417\uff1f<\/strong><\/p>\n
\u786e\u5b9e\uff0cnet\u5bf9\u8c61\u7684\u7c7b\u578b\u5c06\u4f1a\u5f71\u54cd\u5982\u4f55\u5c06\u5176\u8f6c\u6362\u4e3a0\u3002\u4e0d\u540c\u7684\u5e93\u548c\u6846\u67b6\u6709\u5404\u81ea\u7684\u5b9e\u73b0\u65b9\u5f0f\u548c\u6570\u636e\u7ed3\u6784\u3002\u5982\u679c\u4f60\u4f7f\u7528\u7684\u662fPyTorch\u7684nn.Module\uff0c\u53ef\u80fd\u9700\u8981\u91cd\u5199forward\u65b9\u6cd5\u5e76\u786e\u4fdd\u5728\u8fd4\u56de\u4e4b\u524d\u5c06\u8f93\u51fa\u8bbe\u7f6e\u4e3a0\u3002\u800c\u5728TensorFlow\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u76f4\u63a5\u64cd\u4f5c\u5f20\u91cf\uff0c\u786e\u4fdd\u8ba1\u7b97\u56fe\u7684\u6b63\u786e\u6027\u3002<\/p>\n
\u6709\u6ca1\u6709\u793a\u4f8b\u4ee3\u7801\u53ef\u4ee5\u5e2e\u52a9\u7406\u89e3\u5982\u4f55\u8fdb\u884c\u8f6c\u6362\uff1f<\/strong><\/p>\n
\u5f53\u7136\uff0c\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\u7247\u6bb5\uff0c\u5c55\u793a\u5982\u4f55\u5728PyTorch\u4e2d\u5c06\u4e00\u4e2anet\u5bf9\u8c61\u7684\u8f93\u51fa\u8bbe\u7f6e\u4e3a0\uff1a<\/p>\n
import torch\nimport torch.nn as nn\n\nclass MyNet(nn.Module):\n    def __init__(self):\n        super(MyNet, self).__init__()\n        self.fc = nn.Linear(10, 5)\n\n    def forward(self, x):\n        return self.fc(x)\n\nnet = MyNet()\ninput_tensor = torch.randn(1, 10)\noutput = net(input_tensor)\n\n# \u5c06\u8f93\u51fa\u8bbe\u7f6e\u4e3a0\noutput.zero_()\nprint(output)  # \u8f93\u51fa\u7ed3\u679c\u5c06\u5168\u4e3a0\n<\/code><\/pre>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u4f60\u53ef\u4ee5\u5c06net\u5bf9\u8c61\u7684\u8f93\u51fa\u8f6c\u6362\u4e3a0\uff0c\u540c\u65f6\u4fdd\u6301\u4ee3\u7801\u7684\u7b80\u6d01\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5c06Python\u4e2d\u7684\u6d6e\u70b9\u6570net\u8f6c\u6362\u4e3a\u6574\u65700\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528int()\u51fd\u6570\u3001\u4f7f\u7528round()\u51fd\u6570\u3001 […]","protected":false},"author":3,"featured_media":1134383,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1134375"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1134375"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1134375\/revisions"}],"predecessor-version":[{"id":1134390,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1134375\/revisions\/1134390"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1134383"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1134375"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1134375"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1134375"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}