{"id":82513,"date":"2024-11-04T04:49:53","date_gmt":"2024-11-04T01:19:53","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/isclose-in-pytorch-57ga\/"},"modified":"2024-11-04T04:49:53","modified_gmt":"2024-11-04T01:19:53","slug":"isclose-in-pytorch-57ga","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/isclose-in-pytorch-57ga\/","title":{"rendered":"isclose \u062f\u0631 PyTorch &#8211; DEV Community"},"content":{"rendered":"<p>Summarize this content to 400 words in Persian Lang<br \/>\n            \u0628\u0631\u0627\u06cc \u0645\u0646 \u06cc\u06a9 \u0642\u0647\u0648\u0647 \u0628\u062e\u0631\u2615<\/p>\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<p>isclose() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0622\u06cc\u0627 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u062a\u0627\u0646\u0633\u0648\u0631 D 0 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0628\u0631\u0627\u0628\u0631 \u06cc\u0627 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u0628\u0631\u0627\u0628\u0631 \u0628\u0627 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0639\u0646\u0635\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 \u062f\u0648\u0645 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0646\u0638\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D \u0647\u0633\u062a\u0646\u062f \u06cc\u0627 \u062e\u06cc\u0631\u060c \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0631\u0627 \u0628\u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u062f. \u0639\u0646\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631:<\/p>\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<p>isclose()  \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0645\u0634\u0639\u0644 \u06cc\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.<br \/>\n\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0627\u0648\u0644 (input) \u0628\u0627 torch \u06cc\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u062a\u0627\u0646\u0633\u0648\u0631 (\u0627\u0644\u0632\u0627\u0645\u06cc-\u0646\u0648\u0639:tensor \u0627\u0632 int\u060c float\u060c complex \u06cc\u0627 bool).<br \/>\n\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u062f\u0648\u0645 \u0628\u0627 torch \u06cc\u0627 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 1 \u0628\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 \u0627\u0633\u062a other(\u0627\u0644\u0632\u0627\u0645\u06cc-\u0646\u0648\u0639:tensor \u0627\u0632 int\u060c float\u060c complex \u06cc\u0627 bool).<br \/>\n\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0633\u0648\u0645 \u0628\u0627 torch \u06cc\u0627 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u062f\u0648\u0645 \u0628\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 \u0627\u0633\u062a rtol(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:1e-05-\u0646\u0648\u0639:float).<br \/>\n\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0686\u0647\u0627\u0631\u0645 \u0628\u0627 torch \u06cc\u0627 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 3 \u0628\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 \u0627\u0633\u062a atol(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:1e-08-\u0646\u0648\u0639:float).<br \/>\n\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u067e\u0646\u062c\u0645 \u0628\u0627 torch \u06cc\u0627 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 4 \u0628\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 \u0627\u0633\u062a equal_nan(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:False-\u0646\u0648\u0639:bool): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<p>\u0627\u06af\u0631 \u0627\u06cc\u0646 \u0627\u0633\u062a True\u060c nan \u0648 nan \u0628\u0627\u0632\u06af\u0634\u062a True.<br \/>\n\u0627\u0633\u0627\u0633\u0627\u060c nan \u0648 nan \u0628\u0627\u0632\u06af\u0634\u062a False.<\/p>\n<p>\u0641\u0631\u0645\u0648\u0644 \u0627\u06cc\u0646 \u0627\u0633\u062a |input &#8211; other| &lt;= rtol x |other| + atol.<\/p>\n<p>import torch<\/p>\n<p>tensor1 = torch.tensor([1.00001001, 1.00000996, 1.00000995, torch.nan])<br \/>\ntensor2 = torch.tensor([1., 1., 1., torch.nan])<\/p>\n<p>torch.isclose(input=tensor1, other=tensor2)<br \/>\ntorch.isclose(input=tensor1, other=tensor2,<br \/>\n              rtol=1e-05, atol=1e-08, equal_nan=False)<br \/>\n            # 0.00001   # 0.00000001<br \/>\ntensor1.isclose(other=tensor2)<br \/>\ntorch.isclose(input=tensor2, other=tensor1)<br \/>\n# tensor([False, False, True, False])<\/p>\n<p>torch.isclose(input=tensor1, other=tensor2, equal_nan=True)<br \/>\n# tensor([False, False, True, True])<\/p>\n<p>tensor1 = torch.tensor([[1.00001001, 1.00000996],<br \/>\n                        [1.00000995, torch.nan]])<br \/>\ntensor2 = torch.tensor([[1., 1.],<br \/>\n                        [1., torch.nan]])<br \/>\ntorch.isclose(input=tensor1, other=tensor2)<br \/>\ntorch.isclose(input=tensor2, other=tensor1)<br \/>\n# tensor([[False, False],<br \/>\n#         [True, False]])<\/p>\n<p>tensor1 = torch.tensor([[[1.00001001],<br \/>\n                         [1.00000996]],<br \/>\n                        [[1.00000995],<br \/>\n                         [torch.nan]]])<br \/>\ntensor2 = torch.tensor([[[1.], [1.]],<br \/>\n                        [[1.], [torch.nan]]])<br \/>\ntorch.isclose(input=tensor1, other=tensor2)<br \/>\ntorch.isclose(input=tensor2, other=tensor1)<br \/>\n# tensor([[[False], [False]],<br \/>\n#         [[True], [False]]])<\/p>\n<p>tensor1 = torch.tensor([[1.00001001, 1.00000996],<br \/>\n                        [1.00000995, torch.nan]])<br \/>\ntensor2 = torch.tensor([1., 1.])<\/p>\n<p>torch.isclose(input=tensor1, other=tensor2)<br \/>\ntorch.isclose(input=tensor2, other=tensor1)<br \/>\n# tensor([[False, False],<br \/>\n#         [True, False]])<\/p>\n<p>tensor1 = torch.tensor([[1.00001001, 1.00000996],<br \/>\n                        [1.00000995, torch.nan]])<br \/>\ntensor2 = torch.tensor(1.)<\/p>\n<p>torch.isclose(input=tensor1, other=tensor2)<br \/>\ntorch.isclose(input=tensor2, other=tensor1)<br \/>\n# tensor([[False, False],<br \/>\n#         [True, False]])<\/p>\n<p>tensor1 = torch.tensor([0, 1, 2])<br \/>\ntensor2 = torch.tensor(1)<\/p>\n<p>torch.isclose(input=tensor1, other=tensor2)<br \/>\n# tensor([False, True, False])<\/p>\n<p>tensor1 = torch.tensor([0.+0.j, 1.+0.j, 2.+0.j])<br \/>\ntensor2 = torch.tensor(1.+0.j)<\/p>\n<p>torch.isclose(input=tensor1, other=tensor2)<br \/>\n# tensor([False, True, False])<\/p>\n<p>tensor1 = torch.tensor([False, True, False])<br \/>\ntensor2 = torch.tensor(True)<\/p>\n<p>torch.isclose(input=tensor1, other=tensor2)<br \/>\n# tensor([False, True, False])<\/p>\n<p>    \u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/p>\n<p>    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/p>\n<div data-article-id=\"2073047\" id=\"article-body\">\n<p>\u0628\u0631\u0627\u06cc \u0645\u0646 \u06cc\u06a9 \u0642\u0647\u0648\u0647 \u0628\u062e\u0631\u2615<\/p>\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<p>isclose() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0622\u06cc\u0627 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u062a\u0627\u0646\u0633\u0648\u0631 D 0 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0628\u0631\u0627\u0628\u0631 \u06cc\u0627 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u0628\u0631\u0627\u0628\u0631 \u0628\u0627 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0639\u0646\u0635\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 \u062f\u0648\u0645 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0646\u0638\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D \u0647\u0633\u062a\u0646\u062f \u06cc\u0627 \u062e\u06cc\u0631\u060c \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0631\u0627 \u0628\u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u062f. \u0639\u0646\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631:<\/p>\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<ul>\n<li>\n<code>isclose()<\/code>  \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0645\u0634\u0639\u0644 \u06cc\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.<\/li>\n<li>\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0627\u0648\u0644 (<code>input<\/code>) \u0628\u0627 <code>torch<\/code> \u06cc\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u062a\u0627\u0646\u0633\u0648\u0631 (\u0627\u0644\u0632\u0627\u0645\u06cc-\u0646\u0648\u0639:<code>tensor<\/code> \u0627\u0632 <code>int<\/code>\u060c <code>float<\/code>\u060c <code>complex<\/code> \u06cc\u0627 <code>bool<\/code>).<\/li>\n<li>\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u062f\u0648\u0645 \u0628\u0627 <code>torch<\/code> \u06cc\u0627 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 1 \u0628\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 \u0627\u0633\u062a <code>other<\/code>(\u0627\u0644\u0632\u0627\u0645\u06cc-\u0646\u0648\u0639:<code>tensor<\/code> \u0627\u0632 <code>int<\/code>\u060c <code>float<\/code>\u060c <code>complex<\/code> \u06cc\u0627 <code>bool<\/code>).<\/li>\n<li>\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0633\u0648\u0645 \u0628\u0627 <code>torch<\/code> \u06cc\u0627 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u062f\u0648\u0645 \u0628\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 \u0627\u0633\u062a <code>rtol<\/code>(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:<code>1e-05<\/code>-\u0646\u0648\u0639:<code>float<\/code>).<\/li>\n<li>\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0686\u0647\u0627\u0631\u0645 \u0628\u0627 <code>torch<\/code> \u06cc\u0627 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 3 \u0628\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 \u0627\u0633\u062a <code>atol<\/code>(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:<code>1e-08<\/code>-\u0646\u0648\u0639:<code>float<\/code>).<\/li>\n<li>\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u067e\u0646\u062c\u0645 \u0628\u0627 <code>torch<\/code> \u06cc\u0627 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 4 \u0628\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 \u0627\u0633\u062a <code>equal_nan<\/code>(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:<code>False<\/code>-\u0646\u0648\u0639:<code>bool<\/code>): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:\n<ul>\n<li>\u0627\u06af\u0631 \u0627\u06cc\u0646 \u0627\u0633\u062a <code>True<\/code>\u060c <code>nan<\/code> \u0648 <code>nan<\/code> \u0628\u0627\u0632\u06af\u0634\u062a <code>True<\/code>.<\/li>\n<li>\u0627\u0633\u0627\u0633\u0627\u060c <code>nan<\/code> \u0648 <code>nan<\/code> \u0628\u0627\u0632\u06af\u0634\u062a <code>False<\/code>.<\/li>\n<\/ul>\n<\/li>\n<li>\u0641\u0631\u0645\u0648\u0644 \u0627\u06cc\u0646 \u0627\u0633\u062a <code>|input - other| &lt;= rtol x |other| + atol<\/code>.\n<\/li>\n<\/ul>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight python\"><code><span class=\"kn\">import<\/span> <span class=\"n\">torch<\/span>\n\n<span class=\"n\">tensor1<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">([<\/span><span class=\"mf\">1.00001001<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.00000996<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.00000995<\/span><span class=\"p\">,<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"n\">nan<\/span><span class=\"p\">])<\/span>\n<span class=\"n\">tensor2<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">([<\/span><span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"n\">nan<\/span><span class=\"p\">])<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">,<\/span>\n              <span class=\"n\">rtol<\/span><span class=\"o\">=<\/span><span class=\"mf\">1e-05<\/span><span class=\"p\">,<\/span> <span class=\"n\">atol<\/span><span class=\"o\">=<\/span><span class=\"mf\">1e-08<\/span><span class=\"p\">,<\/span> <span class=\"n\">equal_nan<\/span><span class=\"o\">=<\/span><span class=\"bp\">False<\/span><span class=\"p\">)<\/span>\n            <span class=\"c1\"># 0.00001   # 0.00000001\n<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([False, False, True, False])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">,<\/span> <span class=\"n\">equal_nan<\/span><span class=\"o\">=<\/span><span class=\"bp\">True<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([False, False, True, True])\n<\/span>\n<span class=\"n\">tensor1<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">([[<\/span><span class=\"mf\">1.00001001<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.00000996<\/span><span class=\"p\">],<\/span>\n                        <span class=\"p\">[<\/span><span class=\"mf\">1.00000995<\/span><span class=\"p\">,<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"n\">nan<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">tensor2<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">([[<\/span><span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.<\/span><span class=\"p\">],<\/span>\n                        <span class=\"p\">[<\/span><span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"n\">nan<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[False, False],\n#         [True, False]])\n<\/span>\n<span class=\"n\">tensor1<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">([[[<\/span><span class=\"mf\">1.00001001<\/span><span class=\"p\">],<\/span>\n                         <span class=\"p\">[<\/span><span class=\"mf\">1.00000996<\/span><span class=\"p\">]],<\/span>\n                        <span class=\"p\">[[<\/span><span class=\"mf\">1.00000995<\/span><span class=\"p\">],<\/span>\n                         <span class=\"p\">[<\/span><span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"n\">nan<\/span><span class=\"p\">]]])<\/span>\n<span class=\"n\">tensor2<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">([[[<\/span><span class=\"mf\">1.<\/span><span class=\"p\">],<\/span> <span class=\"p\">[<\/span><span class=\"mf\">1.<\/span><span class=\"p\">]],<\/span>\n                        <span class=\"p\">[[<\/span><span class=\"mf\">1.<\/span><span class=\"p\">],<\/span> <span class=\"p\">[<\/span><span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"n\">nan<\/span><span class=\"p\">]]])<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[[False], [False]],\n#         [[True], [False]]])\n<\/span>\n<span class=\"n\">tensor1<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">([[<\/span><span class=\"mf\">1.00001001<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.00000996<\/span><span class=\"p\">],<\/span>\n                        <span class=\"p\">[<\/span><span class=\"mf\">1.00000995<\/span><span class=\"p\">,<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"n\">nan<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">tensor2<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">([<\/span><span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.<\/span><span class=\"p\">])<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[False, False],\n#         [True, False]])\n<\/span>\n<span class=\"n\">tensor1<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">([[<\/span><span class=\"mf\">1.00001001<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.00000996<\/span><span class=\"p\">],<\/span>\n                        <span class=\"p\">[<\/span><span class=\"mf\">1.00000995<\/span><span class=\"p\">,<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"n\">nan<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">tensor2<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">(<\/span><span class=\"mf\">1.<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[False, False],\n#         [True, False]])\n<\/span>\n<span class=\"n\">tensor1<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">([<\/span><span class=\"mi\">0<\/span><span class=\"p\">,<\/span> <span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">2<\/span><span class=\"p\">])<\/span>\n<span class=\"n\">tensor2<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">(<\/span><span class=\"mi\">1<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([False, True, False])\n<\/span>\n<span class=\"n\">tensor1<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">([<\/span><span class=\"mf\">0.<\/span><span class=\"o\">+<\/span><span class=\"mf\">0.j<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.<\/span><span class=\"o\">+<\/span><span class=\"mf\">0.j<\/span><span class=\"p\">,<\/span> <span class=\"mf\">2.<\/span><span class=\"o\">+<\/span><span class=\"mf\">0.j<\/span><span class=\"p\">])<\/span>\n<span class=\"n\">tensor2<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">(<\/span><span class=\"mf\">1.<\/span><span class=\"o\">+<\/span><span class=\"mf\">0.j<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([False, True, False])\n<\/span>\n<span class=\"n\">tensor1<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">([<\/span><span class=\"bp\">False<\/span><span class=\"p\">,<\/span> <span class=\"bp\">True<\/span><span class=\"p\">,<\/span> <span class=\"bp\">False<\/span><span class=\"p\">])<\/span>\n<span class=\"n\">tensor2<\/span> <span class=\"o\">=<\/span> <span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">tensor<\/span><span class=\"p\">(<\/span><span class=\"bp\">True<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">isclose<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor1<\/span><span class=\"p\">,<\/span> <span class=\"n\">other<\/span><span class=\"o\">=<\/span><span class=\"n\">tensor2<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([False, True, False])\n<\/span><\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Summarize this content to 400 words in Persian Lang \u0628\u0631\u0627\u06cc \u0645\u0646 \u06cc\u06a9 \u0642\u0647\u0648\u0647 \u0628\u062e\u0631\u2615 *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627: isclose() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0622\u06cc\u0627 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u062a\u0627\u0646\u0633\u0648\u0631 D 0 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0628\u0631\u0627\u0628\u0631 \u06cc\u0627 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u0628\u0631\u0627\u0628\u0631 \u0628\u0627 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0639\u0646\u0635\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 \u062f\u0648\u0645 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0646\u0638\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D \u0647\u0633\u062a\u0646\u062f \u06cc\u0627 \u062e\u06cc\u0631\u060c \u062a\u0627\u0646\u0633\u0648\u0631 &hellip;<\/p>\n","protected":false},"author":2,"featured_media":82514,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[339],"tags":[],"class_list":["post-82513","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dev"],"_links":{"self":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/82513","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/comments?post=82513"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/82513\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/82514"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=82513"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=82513"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=82513"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}