{"id":69419,"date":"2024-07-15T10:08:47","date_gmt":"2024-07-15T06:38:47","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/gt-and-lt-in-pytorch-ll3\/"},"modified":"2024-07-15T10:08:47","modified_gmt":"2024-07-15T06:38:47","slug":"gt-and-lt-in-pytorch-ll3","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/gt-and-lt-in-pytorch-ll3\/","title":{"rendered":"gt() \u0648 lt() \u062f\u0631 PyTorch"},"content":{"rendered":"<p>Summarize this content to 400 words in Persian Lang<br \/>\n            *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<p>gt() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D 0 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \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 \u0639\u0646\u0635\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D \u0628\u0632\u0631\u06af\u062a\u0631 \u0647\u0633\u062a\u0646\u062f\u060c \u0648 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0639\u0646\u0627\u0635\u0631 \u0631\u0627 \u0628\u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u062f. \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<p>gt()  \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 \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 \u06cc\u0627 scalar \u0627\u0632 int\u060c float \u06cc\u0627 bool).<br \/>\n\u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f out \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0627 torch(\u0646\u0648\u0639 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc:tensor): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<p>out=  \u0628\u0627\u06cc\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f.<\/p>\n<p>\u067e\u0633\u062a \u0645\u0646 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc\u062f\u0647 out \u0628\u062d\u062b \u0648 \u062c\u062f\u0644.<\/p>\n<p>greater() \u0646\u0627\u0645 \u0645\u0633\u062a\u0639\u0627\u0631 \u0627\u0633\u062a gt().<\/p>\n<p>import torch<\/p>\n<p>tensor1 = torch.tensor([5, 0, 3])<br \/>\ntensor2 = torch.tensor([[3, 5, 4],<br \/>\n                        [6, 3, 5]])<br \/>\ntorch.gt(input=tensor1, other=tensor2)<br \/>\ntensor1.gt(other=tensor2)<br \/>\n# tensor([[True, False, False],<br \/>\n#         [False, False, False]])<\/p>\n<p>torch.gt(input=tensor2, other=tensor1)<br \/>\n# tensor([[False, True, True],<br \/>\n#         [True, True, True]])<\/p>\n<p>torch.gt(input=tensor1, other=3)<br \/>\n# tensor([True, False, False])<\/p>\n<p>torch.gt(input=tensor2, other=3)<br \/>\n# tensor([[False, True, True],<br \/>\n#         [True, False, True]])<\/p>\n<p>tensor1 = torch.tensor([5., 0., 3.])<br \/>\ntensor2 = torch.tensor([[3., 5., 4.],<br \/>\n                        [6., 3., 5.]])<br \/>\ntorch.gt(input=tensor1, other=tensor2)<br \/>\n# tensor([[True, False, False],<br \/>\n#         [False, False, False]])<\/p>\n<p>torch.gt(input=tensor1, other=3.)<br \/>\n# tensor([True, False, False])<\/p>\n<p>tensor1 = torch.tensor([True, False, True])<br \/>\ntensor2 = torch.tensor([[True, False, True],<br \/>\n                        [False, True, False]])<br \/>\ntorch.gt(input=tensor1, other=tensor2)<br \/>\n# tensor([[False, False, False],<br \/>\n#         [True, False, True]])<\/p>\n<p>torch.gt(input=tensor1, other=True)<br \/>\n# tensor([False, False, 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<p>lt() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D 0 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0639\u0646\u0635\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D 2 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0646\u0638\u0631 \u0639\u0646\u0635\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 \u06a9\u0645\u062a\u0631 \u0647\u0633\u062a\u0646\u062f\u060c \u0648 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0631\u0627 \u0628\u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u062f. \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<p>lt()  \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0627 torch \u06cc\u0627 \u06cc\u06a9 \u062a\u0627\u0646\u0633\u0648\u0631<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 \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 \u06cc\u0627 scalar \u0627\u0632 int\u060c float \u06cc\u0627 bool).<br \/>\n\u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f out \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0627 torch(\u0646\u0648\u0639 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc:tensor): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<p>out=  \u0628\u0627\u06cc\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f.<\/p>\n<p>\u067e\u0633\u062a \u0645\u0646 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc\u062f\u0647 out \u0628\u062d\u062b \u0648 \u062c\u062f\u0644.<\/p>\n<p>less() \u0646\u0627\u0645 \u0645\u0633\u062a\u0639\u0627\u0631 \u0627\u0633\u062a lt().<\/p>\n<p>import torch<\/p>\n<p>tensor1 = torch.tensor([5, 0, 3])<br \/>\ntensor2 = torch.tensor([[3, 5, 4],<br \/>\n                        [6, 3, 5]])<br \/>\ntorch.lt(input=tensor1, other=tensor2)<br \/>\ntensor1.lt(other=tensor2)<br \/>\n# tensor([[False, True, True],<br \/>\n#         [True, True, True]])<\/p>\n<p>torch.lt(input=tensor2, other=tensor1)<br \/>\n# tensor([[True, False, False],<br \/>\n#         [False, False, False]])<\/p>\n<p>torch.lt(input=tensor1, other=3)<br \/>\n# tensor([False, True, False])<\/p>\n<p>torch.lt(input=tensor2, other=3)<br \/>\n# tensor([[False, False, False],<br \/>\n#         [False, False, False]])<\/p>\n<p>tensor1 = torch.tensor([5., 0., 3.])<br \/>\ntensor2 = torch.tensor([[3., 5., 4.],<br \/>\n                        [6., 3., 5.]])<br \/>\ntorch.lt(input=tensor1, other=tensor2)<br \/>\n# tensor([[False, True, True],<br \/>\n#         [True, True, True]])<\/p>\n<p>torch.lt(input=tensor1, other=3.)<br \/>\n# tensor([False, True, False])<\/p>\n<p>tensor1 = torch.tensor([True, False, True])<br \/>\ntensor2 = torch.tensor([[True, False, True],<br \/>\n                        [False, True, False]])<br \/>\ntorch.lt(input=tensor1, other=tensor2)<br \/>\n# tensor([[False, False, False],<br \/>\n#         [False, True, False]])<\/p>\n<p>torch.lt(input=tensor1, other=True)<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=\"1923727\" id=\"article-body\">\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<p>gt() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D 0 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \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 \u0639\u0646\u0635\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D \u0628\u0632\u0631\u06af\u062a\u0631 \u0647\u0633\u062a\u0646\u062f\u060c \u0648 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0639\u0646\u0627\u0635\u0631 \u0631\u0627 \u0628\u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u062f. \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<ul>\n<li>\n<code>gt()<\/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> \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> \u06cc\u0627 <code>scalar<\/code> \u0627\u0632 <code>int<\/code>\u060c <code>float<\/code> \u06cc\u0627 <code>bool<\/code>).<\/li>\n<li>\u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f <code>out<\/code> \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0627 <code>torch<\/code>(\u0646\u0648\u0639 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc:<code>tensor<\/code>): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:\n<ul>\n<li>\n<code>out=<\/code>  \u0628\u0627\u06cc\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f.<\/li>\n<li>\n<p>\u067e\u0633\u062a \u0645\u0646 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc\u062f\u0647 <code>out<\/code> \u0628\u062d\u062b \u0648 \u062c\u062f\u0644.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>greater() \u0646\u0627\u0645 \u0645\u0633\u062a\u0639\u0627\u0631 \u0627\u0633\u062a <code>gt()<\/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=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"mi\">0<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/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\">3<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"mi\">4<\/span><span class=\"p\">],<\/span>\n                        <span class=\"p\">[<\/span><span class=\"mi\">6<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">gt<\/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\">tensor1<\/span><span class=\"p\">.<\/span><span class=\"nf\">gt<\/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([[True, False, False],\n#         [False, False, False]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">gt<\/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, True, True],\n#         [True, True, True]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">gt<\/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=\"mi\">3<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([True, False, False])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">gt<\/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=\"mi\">3<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[False, True, True],\n#         [True, False, 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\">5.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">3.<\/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\">3.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">5.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">4.<\/span><span class=\"p\">],<\/span>\n                        <span class=\"p\">[<\/span><span class=\"mf\">6.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">3.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">5.<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">gt<\/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([[True, False, False],\n#         [False, False, False]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">gt<\/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=\"mf\">3.<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([True, False, 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\">True<\/span><span class=\"p\">,<\/span> <span class=\"bp\">False<\/span><span class=\"p\">,<\/span> <span class=\"bp\">True<\/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> <span class=\"bp\">False<\/span><span class=\"p\">,<\/span> <span class=\"bp\">True<\/span><span class=\"p\">],<\/span>\n                        <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\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">gt<\/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, False, False],\n#         [True, False, True]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">gt<\/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=\"bp\">True<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([False, False, 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>\n<p>lt() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D 0 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0639\u0646\u0635\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D 2 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0646\u0638\u0631 \u0639\u0646\u0635\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 \u06a9\u0645\u062a\u0631 \u0647\u0633\u062a\u0646\u062f\u060c \u0648 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0631\u0627 \u0628\u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u062f. \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<ul>\n<li>\n<code>lt()<\/code>  \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0627 <code>torch<\/code> \u06cc\u0627 \u06cc\u06a9 \u062a\u0627\u0646\u0633\u0648\u0631<\/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> \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> \u06cc\u0627 <code>scalar<\/code> \u0627\u0632 <code>int<\/code>\u060c <code>float<\/code> \u06cc\u0627 <code>bool<\/code>).<\/li>\n<li>\u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f <code>out<\/code> \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0627 <code>torch<\/code>(\u0646\u0648\u0639 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc:<code>tensor<\/code>): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:\n<ul>\n<li>\n<code>out=<\/code>  \u0628\u0627\u06cc\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f.<\/li>\n<li>\n<p>\u067e\u0633\u062a \u0645\u0646 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc\u062f\u0647 <code>out<\/code> \u0628\u062d\u062b \u0648 \u062c\u062f\u0644.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>less() \u0646\u0627\u0645 \u0645\u0633\u062a\u0639\u0627\u0631 \u0627\u0633\u062a <code>lt()<\/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=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"mi\">0<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/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\">3<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"mi\">4<\/span><span class=\"p\">],<\/span>\n                        <span class=\"p\">[<\/span><span class=\"mi\">6<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">lt<\/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\">tensor1<\/span><span class=\"p\">.<\/span><span class=\"nf\">lt<\/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, True],\n#         [True, True, True]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">lt<\/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([[True, False, False],\n#         [False, False, False]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">lt<\/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=\"mi\">3<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([False, True, False])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">lt<\/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=\"mi\">3<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[False, False, False],\n#         [False, False, 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\">5.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">3.<\/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\">3.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">5.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">4.<\/span><span class=\"p\">],<\/span>\n                        <span class=\"p\">[<\/span><span class=\"mf\">6.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">3.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">5.<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">lt<\/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, True],\n#         [True, True, True]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">lt<\/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=\"mf\">3.<\/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\">True<\/span><span class=\"p\">,<\/span> <span class=\"bp\">False<\/span><span class=\"p\">,<\/span> <span class=\"bp\">True<\/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> <span class=\"bp\">False<\/span><span class=\"p\">,<\/span> <span class=\"bp\">True<\/span><span class=\"p\">],<\/span>\n                        <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\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">lt<\/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, False, False],\n#         [False, True, False]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">lt<\/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=\"bp\">True<\/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 *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627: gt() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D 0 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \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 \u0639\u0646\u0635\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D \u0628\u0632\u0631\u06af\u062a\u0631 \u0647\u0633\u062a\u0646\u062f\u060c \u0648 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0639\u0646\u0627\u0635\u0631 \u0631\u0627 \u0628\u062f\u0633\u062a &hellip;<\/p>\n","protected":false},"author":2,"featured_media":69420,"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-69419","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\/69419","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=69419"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/69419\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/69420"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=69419"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=69419"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=69419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}