{"id":968235,"date":"2024-12-27T05:05:09","date_gmt":"2024-12-26T21:05:09","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/968235.html"},"modified":"2024-12-27T05:05:11","modified_gmt":"2024-12-26T21:05:11","slug":"%e5%9c%a8python%e5%a6%82%e4%bd%95%e5%9b%ba%e5%ae%9a%e7%a7%8d%e5%ad%90","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/968235.html","title":{"rendered":"\u5728python\u5982\u4f55\u56fa\u5b9a\u79cd\u5b50"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24183126\/c77eeab1-ed74-4b76-8cbe-971283b72e03.webp\" alt=\"\u5728python\u5982\u4f55\u56fa\u5b9a\u79cd\u5b50\" \/><\/p>\n<p><p> \u5728Python\u4e2d\uff0c<strong>\u56fa\u5b9a\u968f\u673a\u79cd\u5b50\u3001\u5b9e\u73b0\u7ed3\u679c\u53ef\u91cd\u590d\u6027\u3001\u786e\u4fdd\u6a21\u578b\u7a33\u5b9a\u6027<\/strong>\u662f\u8fdb\u884c\u6570\u636e\u79d1\u5b66\u548c<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u9879\u76ee\u65f6\u7684\u5173\u952e\u6b65\u9aa4\u4e4b\u4e00\u3002\u901a\u8fc7\u56fa\u5b9a\u79cd\u5b50\uff0c\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u8fd0\u884c\u4ee3\u7801\u65f6\u5f97\u5230\u76f8\u540c\u7684\u968f\u673a\u7ed3\u679c\uff0c\u65b9\u4fbf\u8c03\u8bd5\u548c\u7ed3\u679c\u9a8c\u8bc1\u3002\u56fa\u5b9a\u79cd\u5b50\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528<code>random.seed()<\/code>\u56fa\u5b9a\u6807\u51c6\u5e93\u7684\u79cd\u5b50\u3001\u4f7f\u7528<code>numpy.random.seed()<\/code>\u56fa\u5b9aNumPy\u7684\u79cd\u5b50\u3001\u4f7f\u7528<code>torch.manual_seed()<\/code>\u56fa\u5b9aPyTorch\u7684\u79cd\u5b50\u7b49\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u6df1\u5165\u63a2\u8ba8\u8fd9\u4e9b\u65b9\u6cd5\u7684\u8be6\u7ec6\u5b9e\u73b0\u548c\u5e94\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001PYTHON\u4e2d\u56fa\u5b9a\u6807\u51c6\u5e93\u7684\u79cd\u5b50<\/p>\n<\/p>\n<p><p>Python\u6807\u51c6\u5e93\u4e2d\u7684<code>random<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u57fa\u672c\u7684\u968f\u673a\u6570\u751f\u6210\u529f\u80fd\u3002\u901a\u8fc7\u8bbe\u7f6e\u79cd\u5b50\uff0c\u80fd\u591f\u786e\u4fdd\u751f\u6210\u7684\u968f\u673a\u6570\u5e8f\u5217\u4e00\u81f4\u3002<\/p>\n<\/p>\n<ol>\n<li>\u4f7f\u7528<code>random.seed()<\/code><\/li>\n<\/ol>\n<p><p><code>random.seed(a=None, version=2)<\/code>\u662fPython\u6807\u51c6\u5e93\u4e2d\u7528\u4e8e\u56fa\u5b9a\u968f\u673a\u6570\u751f\u6210\u7684\u79cd\u5b50\u7684\u65b9\u6cd5\u3002\u53c2\u6570<code>a<\/code>\u53ef\u4ee5\u662f\u4efb\u610f\u53ef\u54c8\u5e0c\u5bf9\u8c61\uff0c\u901a\u5e38\u4f7f\u7528\u6574\u6570\u3002\u5982\u679c\u4e0d\u6307\u5b9a\uff0c\u9ed8\u8ba4\u4f7f\u7528\u5f53\u524d\u7cfb\u7edf\u65f6\u95f4\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import random<\/p>\n<p>random.seed(42)<\/p>\n<p>print(random.random())<\/p>\n<p>print(random.randint(1, 10))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u5e94\u7528\u573a\u666f<\/li>\n<\/ol>\n<p><p>\u56fa\u5b9a\u79cd\u5b50\u5728\u6a21\u62df\u5b9e\u9a8c\u3001\u968f\u673a\u62bd\u6837\u3001\u6e38\u620f\u5f00\u53d1\u7b49\u9700\u8981\u7a33\u5b9a\u968f\u673a\u6570\u5e8f\u5217\u7684\u573a\u666f\u4e2d\u975e\u5e38\u6709\u7528\u3002\u5728\u673a\u5668\u5b66\u4e60\u9879\u76ee\u4e2d\uff0c\u901a\u8fc7\u56fa\u5b9a\u79cd\u5b50\uff0c\u80fd\u591f\u786e\u4fdd\u6570\u636e\u96c6\u7684\u62c6\u5206\u3001\u6a21\u578b\u7684\u521d\u59cb\u5316\u7b49\u8fc7\u7a0b\u7684\u4e00\u81f4\u6027\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001NUMPY\u4e2d\u56fa\u5b9a\u79cd\u5b50<\/p>\n<\/p>\n<p><p>NumPy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60\u3002NumPy\u7684\u968f\u673a\u6570\u751f\u6210\u72ec\u7acb\u4e8ePython\u6807\u51c6\u5e93\uff0c\u9700\u8981\u5355\u72ec\u8bbe\u7f6e\u79cd\u5b50\u3002<\/p>\n<\/p>\n<ol>\n<li>\u4f7f\u7528<code>numpy.random.seed()<\/code><\/li>\n<\/ol>\n<p><p><code>numpy.random.seed(seed=None)<\/code>\u7528\u4e8e\u56fa\u5b9aNumPy\u7684\u968f\u673a\u6570\u751f\u6210\u79cd\u5b50\u3002<code>seed<\/code>\u53c2\u6570\u53ef\u4ee5\u662f\u6574\u6570\u6216<code>None<\/code>\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>np.random.seed(42)<\/p>\n<p>print(np.random.rand())<\/p>\n<p>print(np.random.randint(1, 10))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u5e94\u7528\u573a\u666f<\/li>\n<\/ol>\n<p><p>\u5728\u6570\u636e\u9884\u5904\u7406\u3001\u7279\u5f81\u5de5\u7a0b\u3001\u6570\u636e\u589e\u5f3a\u7b49\u8fc7\u7a0b\u4e2d\uff0c\u56fa\u5b9a\u79cd\u5b50\u80fd\u591f\u786e\u4fdd\u76f8\u540c\u7684\u6570\u636e\u64cd\u4f5c\u7ed3\u679c\uff0c\u4fbf\u4e8e\u8c03\u8bd5\u548c\u7ed3\u679c\u590d\u73b0\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001TENSORFLOW\u4e2d\u56fa\u5b9a\u79cd\u5b50<\/p>\n<\/p>\n<p><p>TensorFlow\u662f\u4e00\u4e2a\u6d41\u884c\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5176\u968f\u673a\u6027\u4e3b\u8981\u4f53\u73b0\u5728\u6570\u636e\u5904\u7406\u548c\u6a21\u578b\u8bad\u7ec3\u4e2d\u3002\u4e3a\u4e86\u5b9e\u73b0\u7ed3\u679c\u7684\u53ef\u91cd\u590d\u6027\uff0c\u9700\u8981\u56fa\u5b9aTensorFlow\u7684\u79cd\u5b50\u3002<\/p>\n<\/p>\n<ol>\n<li>\u4f7f\u7528<code>tf.random.set_seed()<\/code><\/li>\n<\/ol>\n<p><p>\u5728TensorFlow 2.x\u4e2d\uff0c<code>tf.random.set_seed(seed)<\/code>\u7528\u4e8e\u8bbe\u7f6e\u5168\u5c40\u968f\u673a\u79cd\u5b50\u3002\u8be5\u65b9\u6cd5\u80fd\u591f\u786e\u4fddTensorFlow\u4e2d\u7684\u968f\u673a\u6570\u751f\u6210\u4e00\u81f4\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import tensorflow as tf<\/p>\n<p>tf.random.set_seed(42)<\/p>\n<p>random_tensor = tf.random.uniform([2, 2])<\/p>\n<p>print(random_tensor)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u5e94\u7528\u573a\u666f<\/li>\n<\/ol>\n<p><p>\u56fa\u5b9a\u79cd\u5b50\u5728\u6a21\u578b\u7684\u521d\u59cb\u5316\u3001\u6570\u636e\u96c6\u7684\u6253\u4e71\u3001\u8bad\u7ec3\u8fc7\u7a0b\u7684\u968f\u673a\u5316\u7b49\u65b9\u9762\u90fd\u5f88\u91cd\u8981\u3002\u5bf9\u4e8e\u9700\u8981\u4e25\u683c\u5bf9\u6bd4\u5b9e\u9a8c\u7ed3\u679c\u7684\u573a\u666f\uff0c\u56fa\u5b9a\u79cd\u5b50\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u6b65\u9aa4\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001PYTORCH\u4e2d\u56fa\u5b9a\u79cd\u5b50<\/p>\n<\/p>\n<p><p>PyTorch\u662f\u53e6\u4e00\u4e2a\u6d41\u884c\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u4e5f\u63d0\u4f9b\u4e86\u8bbe\u7f6e\u968f\u673a\u79cd\u5b50\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<ol>\n<li>\u4f7f\u7528<code>torch.manual_seed()<\/code><\/li>\n<\/ol>\n<p><p><code>torch.manual_seed(seed)<\/code>\u7528\u4e8e\u8bbe\u7f6eCPU\u548cGPU\u751f\u6210\u968f\u673a\u6570\u7684\u79cd\u5b50\u3002\u6ce8\u610f\uff1a\u5bf9\u4e8eCUDA\u64cd\u4f5c\uff0c\u8fd8\u9700\u8981\u8bbe\u7f6e<code>torch.cuda.manual_seed_all()<\/code>\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import torch<\/p>\n<p>torch.manual_seed(42)<\/p>\n<p>torch.cuda.manual_seed_all(42)<\/p>\n<p>random_tensor = torch.rand(2, 2)<\/p>\n<p>print(random_tensor)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u5e94\u7528\u573a\u666f<\/li>\n<\/ol>\n<p><p>\u5728\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u4e2d\uff0c\u901a\u8fc7\u56fa\u5b9a\u79cd\u5b50\u53ef\u4ee5\u786e\u4fdd\u6bcf\u6b21\u8fd0\u884c\u7684\u7ed3\u679c\u4e00\u81f4\uff0c\u7279\u522b\u662f\u5728\u5206\u5e03\u5f0f\u8bad\u7ec3\u548c\u591a\u6b21\u5b9e\u9a8c\u5bf9\u6bd4\u65f6\u663e\u5f97\u5c24\u4e3a\u91cd\u8981\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u591a\u79cd\u6846\u67b6\u8054\u5408\u4f7f\u7528\u65f6\u7684\u79cd\u5b50\u8bbe\u7f6e<\/p>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\uff0c\u53ef\u80fd\u4f1a\u540c\u65f6\u4f7f\u7528\u591a\u4e2a\u6846\u67b6\uff0c\u5982NumPy\u548cPyTorch\u7ed3\u5408\u4f7f\u7528\u3002\u8fd9\u65f6\u9700\u8981\u5206\u522b\u8bbe\u7f6e\u6bcf\u4e2a\u6846\u67b6\u7684\u968f\u673a\u79cd\u5b50\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import random<\/p>\n<p>import numpy as np<\/p>\n<p>import torch<\/p>\n<p>def set_seed(seed):<\/p>\n<p>    random.seed(seed)<\/p>\n<p>    np.random.seed(seed)<\/p>\n<p>    torch.manual_seed(seed)<\/p>\n<p>    torch.cuda.manual_seed_all(seed)<\/p>\n<p>set_seed(42)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u8fd9\u6837\u7684\u65b9\u5f0f\uff0c\u786e\u4fdd\u4e0d\u540c\u6846\u67b6\u4e4b\u95f4\u7684\u968f\u673a\u6027\u4e00\u81f4\uff0c\u4fbf\u4e8e\u7ed3\u679c\u7684\u53ef\u91cd\u590d\u6027\u3002<\/p>\n<\/p>\n<p><p>\u516d\u3001\u6ce8\u610f\u4e8b\u9879<\/p>\n<\/p>\n<ol>\n<li>\n<p><strong>\u968f\u673a\u79cd\u5b50\u5e76\u4e0d\u80fd\u4fdd\u8bc1\u5b8c\u5168\u76f8\u540c\u7684\u7ed3\u679c<\/strong>\uff1a\u7279\u522b\u662f\u5728GPU\u52a0\u901f\u7684\u8ba1\u7b97\u4e2d\uff0c\u7531\u4e8e\u5e76\u884c\u8ba1\u7b97\u7684\u975e\u786e\u5b9a\u6027\u548c\u6d6e\u70b9\u8fd0\u7b97\u7684\u7cbe\u5ea6\u95ee\u9898\uff0c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u5fae\u5c0f\u7684\u7ed3\u679c\u5dee\u5f02\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u4e0d\u540c\u7248\u672c\u7684\u5e93\u53ef\u80fd\u5f71\u54cd\u7ed3\u679c<\/strong>\uff1a\u5373\u4f7f\u56fa\u5b9a\u4e86\u968f\u673a\u79cd\u5b50\uff0c\u7531\u4e8e\u7b97\u6cd5\u5b9e\u73b0\u7684\u53d8\u5316\uff0c\u4e0d\u540c\u7248\u672c\u7684\u5e93\u53ef\u80fd\u4f1a\u4ea7\u751f\u4e0d\u540c\u7684\u7ed3\u679c\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u79cd\u5b50\u8bbe\u7f6e\u7684\u987a\u5e8f<\/strong>\uff1a\u5728\u4ee3\u7801\u4e2d\uff0c\u8bbe\u7f6e\u79cd\u5b50\u5e94\u8be5\u5728\u6240\u6709\u968f\u673a\u64cd\u4f5c\u4e4b\u524d\u8fdb\u884c\uff0c\u5426\u5219\u4f1a\u5f71\u54cd\u540e\u7eed\u7684\u968f\u673a\u6570\u751f\u6210\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\u548c\u6ce8\u610f\u4e8b\u9879\u7684\u6307\u5bfc\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4e2d\u6709\u6548\u5730\u56fa\u5b9a\u968f\u673a\u79cd\u5b50\uff0c\u786e\u4fdd\u5b9e\u9a8c\u7ed3\u679c\u7684\u53ef\u91cd\u590d\u6027\u548c\u7a33\u5b9a\u6027\u3002\u8fd9\u5bf9\u4e8e\u79d1\u5b66\u7814\u7a76\u548c\u5de5\u4e1a\u5e94\u7528\u4e2d\u7684\u7ed3\u679c\u9a8c\u8bc1\u548c\u8c03\u8bd5\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8bbe\u7f6e\u968f\u673a\u79cd\u5b50\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>random<\/code>\u6a21\u5757\u6216<code>numpy<\/code>\u5e93\u6765\u8bbe\u7f6e\u968f\u673a\u79cd\u5b50\u3002\u901a\u8fc7\u8c03\u7528<code>random.seed(a)<\/code>\u6216<code>numpy.random.seed(a)<\/code>\uff0c\u5c06<code>a<\/code>\u66ff\u6362\u4e3a\u4f60\u5e0c\u671b\u4f7f\u7528\u7684\u79cd\u5b50\u503c\uff0c\u8fd9\u6837\u6bcf\u6b21\u8fd0\u884c\u7a0b\u5e8f\u65f6\u751f\u6210\u7684\u968f\u673a\u6570\u5e8f\u5217\u90fd\u4f1a\u76f8\u540c\u3002\u8bbe\u7f6e\u79cd\u5b50\u7684\u597d\u5904\u5728\u4e8e\u53ef\u4ee5\u786e\u4fdd\u7ed3\u679c\u7684\u53ef\u91cd\u590d\u6027\uff0c\u5c24\u5176\u5728\u8c03\u8bd5\u548c\u5b9e\u9a8c\u65f6\u975e\u5e38\u91cd\u8981\u3002<\/p>\n<p><strong>\u56fa\u5b9a\u79cd\u5b50\u5bf9\u673a\u5668\u5b66\u4e60\u6a21\u578b\u6709\u4ec0\u4e48\u5f71\u54cd\uff1f<\/strong><br \/>\u56fa\u5b9a\u79cd\u5b50\u53ef\u4ee5\u786e\u4fdd\u6a21\u578b\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u7684\u968f\u673a\u6027\uff08\u5982\u6570\u636e\u5206\u5272\u3001\u6743\u91cd\u521d\u59cb\u5316\u7b49\uff09\u662f\u4e00\u81f4\u7684\u3002\u8fd9\u610f\u5473\u7740\u6bcf\u6b21\u8fd0\u884c\u6a21\u578b\u65f6\uff0c\u7ed3\u679c\u4f1a\u7a33\u5b9a\u4e14\u53ef\u590d\u73b0\u3002\u8fd9\u5728\u6a21\u578b\u8c03\u4f18\u548c\u6bd4\u8f83\u4e0d\u540c\u7b97\u6cd5\u8868\u73b0\u65f6\u5c24\u4e3a\u91cd\u8981\uff0c\u56e0\u4e3a\u53d8\u5316\u7684\u7ed3\u679c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u8bef\u5bfc\u6027\u7684\u7ed3\u8bba\u3002<\/p>\n<p><strong>\u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u5982\u4f55\u5229\u7528\u56fa\u5b9a\u79cd\u5b50\u8fdb\u884c\u5b9e\u9a8c\uff1f<\/strong><br 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