{"id":75555,"date":"2024-09-03T08:29:49","date_gmt":"2024-09-03T04:59:49","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/exp-and-exp2-in-pytorch-3njk\/"},"modified":"2024-09-03T08:29:49","modified_gmt":"2024-09-03T04:59:49","slug":"exp-and-exp2-in-pytorch-3njk","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/exp-and-exp2-in-pytorch-3njk\/","title":{"rendered":"exp() \u0648 exp2() \u062f\u0631 PyTorch"},"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>exp() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \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 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0646\u062f e \u0628\u0627 \u0642\u062f\u0631\u062a x \u0627\u0632 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \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>exp()  \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\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 \u0627\u0633\u062a\u062f\u0644\u0627\u0644<\/p>\n<p>*\u0627\u0644\u0641 float \u062a\u0627\u0646\u0633\u0648\u0631 \u0628\u0631\u06af\u0631\u062f\u0627\u0646\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f \u0645\u06af\u0631 \u0627\u06cc\u0646\u06a9\u0647 \u062a\u0627\u0646\u0633\u0648\u0631 \u0648\u0631\u0648\u062f\u06cc \u0628\u0627\u0634\u062f complex \u062a\u0627\u0646\u0633\u0648\u0631<\/p>\n<p>\u0641\u0631\u0645\u0648\u0644 y = e \u0627\u0633\u062ax.<\/p>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0631 Desmos:<\/p>\n<p>import torch<\/p>\n<p>my_tensor = torch.tensor([-2., -1., 0., 1., 2., 3.])<\/p>\n<p>torch.exp(input=my_tensor)<br \/>\nmy_tensor.exp()<br \/>\n# tensor([0.1353, 0.3679, 1.0000, 2.7183, 7.3891, 20.0855])<\/p>\n<p>my_tensor = torch.tensor([[-2., -1., 0.],<br \/>\n                          [1., 2., 3.]])<br \/>\ntorch.exp(input=my_tensor)<br \/>\n# tensor([[0.1353, 0.3679, 1.0000],<br \/>\n#         [2.7183, 7.3891, 20.0855]])<\/p>\n<p>my_tensor = torch.tensor([[-2, -1, 0],<br \/>\n                          [1, 2, 3]])<br \/>\ntorch.exp(input=my_tensor)<br \/>\n# tensor([[0.1353, 0.3679, 1.0000],<br \/>\n#         [2.7183, 7.3891, 20.0855]])<\/p>\n<p>my_tensor = torch.tensor([[-2.+0.j, -1.+0.j, 0.+0.j],<br \/>\n                          [1.+0.j, 2.+0.j, 3.+0.j]])<br \/>\ntorch.exp(input=my_tensor)<br \/>\n# tensor([[0.1353+0.j, 0.3679+0.j, 1.0000+0.j],<br \/>\n#         [2.7183+0.j, 7.3891+0.j, 20.0855+0.j]])<\/p>\n<p>my_tensor = torch.tensor([[True, False, True],<br \/>\n                          [False, True, False]])<br \/>\ntorch.exp(input=my_tensor)<br \/>\n# tensor([[2.7183, 1.0000, 2.7183],<br \/>\n#         [1.0000, 2.7183, 1.0000]])<\/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>exp2() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \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 \u0631\u0627 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f 2 \u0628\u0627 \u0642\u062f\u0631\u062a x \u0627\u0632 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \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>exp2()  \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\u060c complex \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 \u0627\u0633\u062a\u062f\u0644\u0627\u0644<\/p>\n<p>*\u0627\u0644\u0641 float \u062a\u0627\u0646\u0633\u0648\u0631 \u0628\u0631\u06af\u0631\u062f\u0627\u0646\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f \u0645\u06af\u0631 \u0627\u06cc\u0646\u06a9\u0647 \u062a\u0627\u0646\u0633\u0648\u0631 \u0648\u0631\u0648\u062f\u06cc \u0628\u0627\u0634\u062f complex \u062a\u0627\u0646\u0633\u0648\u0631<\/p>\n<p>torch.exp2()  \u0646\u0627\u0645 \u0645\u0633\u062a\u0639\u0627\u0631 ()torch.special.exp2 \u0627\u0633\u062a.<\/p>\n<p>\u0641\u0631\u0645\u0648\u0644 y = 2 \u0627\u0633\u062ax.<\/p>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0631 Desmos:<\/p>\n<p>import torch<\/p>\n<p>my_tensor = torch.tensor([-2., -1., 0., 1., 2., 3.])<\/p>\n<p>torch.exp2(input=my_tensor)<br \/>\nmy_tensor.exp2()<br \/>\n# tensor([0.2500, 0.5000, 1.0000, 2.0000, 4.0000, 8.0000])<\/p>\n<p>my_tensor = torch.tensor([[-2., -1., 0.],<br \/>\n                          [1., 2., 3.]])<br \/>\ntorch.exp2(input=my_tensor)<br \/>\n# tensor([[0.2500, 0.5000, 1.0000],<br \/>\n#         [2.0000, 4.0000, 8.0000]])<\/p>\n<p>my_tensor = torch.tensor([[-2, -1, 0],<br \/>\n                          [1, 2, 3]])<br \/>\ntorch.exp2(input=my_tensor)<br \/>\n# tensor([[0.2500, 0.5000, 1.0000],<br \/>\n#         [2.0000, 4.0000, 8.0000]])<\/p>\n<p>my_tensor = torch.tensor([[-2.+0.j, -1.+0.j, 0.+0.j],<br \/>\n                          [1.+0.j, 2.+0.j, 3.+0.j]])<br \/>\ntorch.exp2(input=my_tensor)<br \/>\n# tensor([[0.2500+0.j, 0.5000+0.j, 1.0000+0.j],<br \/>\n#         [2.0000+0.j, 4.0000+0.j, 8.0000+0.j]])<\/p>\n<p>my_tensor = torch.tensor([[True, False, True],<br \/>\n                          [False, True, False]])<br \/>\ntorch.exp2(input=my_tensor)<br \/>\n# tensor([[2., 1., 2.],<br \/>\n#         [1., 2., 1.]])<\/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=\"1984798\" 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>exp() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \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 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0646\u062f <code>e<\/code> \u0628\u0627 \u0642\u062f\u0631\u062a <code>x<\/code> \u0627\u0632 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \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>exp()<\/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>\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> \u0627\u0633\u062a\u062f\u0644\u0627\u0644<\/li>\n<\/ul>\n<\/li>\n<li>*\u0627\u0644\u0641 <code>float<\/code> \u062a\u0627\u0646\u0633\u0648\u0631 \u0628\u0631\u06af\u0631\u062f\u0627\u0646\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f \u0645\u06af\u0631 \u0627\u06cc\u0646\u06a9\u0647 \u062a\u0627\u0646\u0633\u0648\u0631 \u0648\u0631\u0648\u062f\u06cc \u0628\u0627\u0634\u062f <code>complex<\/code> \u062a\u0627\u0646\u0633\u0648\u0631<\/li>\n<li>\u0641\u0631\u0645\u0648\u0644 y = e \u0627\u0633\u062a<sup>x<\/sup>.<\/li>\n<li>\u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0631 Desmos:<br \/>\n\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\">my_tensor<\/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=\"o\">-<\/span><span class=\"mf\">2.<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">2.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">3.<\/span><span class=\"p\">])<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">exp<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">my_tensor<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">my_tensor<\/span><span class=\"p\">.<\/span><span class=\"nf\">exp<\/span><span class=\"p\">()<\/span>\n<span class=\"c1\"># tensor([0.1353, 0.3679, 1.0000, 2.7183, 7.3891, 20.0855])\n<\/span>\n<span class=\"n\">my_tensor<\/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=\"o\">-<\/span><span class=\"mf\">2.<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.<\/span><span class=\"p\">],<\/span>\n                          <span class=\"p\">[<\/span><span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">2.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">3.<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">exp<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">my_tensor<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[0.1353, 0.3679, 1.0000],\n#         [2.7183, 7.3891, 20.0855]])\n<\/span>\n<span class=\"n\">my_tensor<\/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=\"o\">-<\/span><span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">0<\/span><span class=\"p\">],<\/span>\n                          <span class=\"p\">[<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">exp<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">my_tensor<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[0.1353, 0.3679, 1.0000],\n#         [2.7183, 7.3891, 20.0855]])\n<\/span>\n<span class=\"n\">my_tensor<\/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=\"o\">-<\/span><span class=\"mf\">2.<\/span><span class=\"o\">+<\/span><span class=\"mf\">0.j<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mf\">1.<\/span><span class=\"o\">+<\/span><span class=\"mf\">0.j<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.<\/span><span class=\"o\">+<\/span><span class=\"mf\">0.j<\/span><span class=\"p\">],<\/span>\n                          <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> <span class=\"mf\">3.<\/span><span class=\"o\">+<\/span><span class=\"mf\">0.j<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">exp<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">my_tensor<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[0.1353+0.j, 0.3679+0.j, 1.0000+0.j],\n#         [2.7183+0.j, 7.3891+0.j, 20.0855+0.j]])\n<\/span>\n<span class=\"n\">my_tensor<\/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\">exp<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">my_tensor<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[2.7183, 1.0000, 2.7183],\n#         [1.0000, 2.7183, 1.0000]])\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>exp2() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \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 \u0631\u0627 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f <code>2<\/code> \u0628\u0627 \u0642\u062f\u0631\u062a <code>x<\/code> \u0627\u0632 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \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>exp2()<\/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>\u060c <code>complex<\/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> \u0627\u0633\u062a\u062f\u0644\u0627\u0644<\/li>\n<\/ul>\n<\/li>\n<li>*\u0627\u0644\u0641 <code>float<\/code> \u062a\u0627\u0646\u0633\u0648\u0631 \u0628\u0631\u06af\u0631\u062f\u0627\u0646\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f \u0645\u06af\u0631 \u0627\u06cc\u0646\u06a9\u0647 \u062a\u0627\u0646\u0633\u0648\u0631 \u0648\u0631\u0648\u062f\u06cc \u0628\u0627\u0634\u062f <code>complex<\/code> \u062a\u0627\u0646\u0633\u0648\u0631<\/li>\n<li>\n<code>torch.exp2()<\/code>  \u0646\u0627\u0645 \u0645\u0633\u062a\u0639\u0627\u0631 ()torch.special.exp2 \u0627\u0633\u062a.<\/li>\n<li>\u0641\u0631\u0645\u0648\u0644 y = 2 \u0627\u0633\u062a<sup>x<\/sup>.<\/li>\n<li>\u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0631 Desmos:<br \/>\n<img decoding=\"async\" src=\"https:\/\/media.dev.to\/cdn-cgi\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F49jk4dxramospy8d84xv.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"709\" height=\"579\" title=\"\">\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\">my_tensor<\/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=\"o\">-<\/span><span class=\"mf\">2.<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">2.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">3.<\/span><span class=\"p\">])<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">exp2<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">my_tensor<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">my_tensor<\/span><span class=\"p\">.<\/span><span class=\"nf\">exp2<\/span><span class=\"p\">()<\/span>\n<span class=\"c1\"># tensor([0.2500, 0.5000, 1.0000, 2.0000, 4.0000, 8.0000])\n<\/span>\n<span class=\"n\">my_tensor<\/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=\"o\">-<\/span><span class=\"mf\">2.<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.<\/span><span class=\"p\">],<\/span>\n                          <span class=\"p\">[<\/span><span class=\"mf\">1.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">2.<\/span><span class=\"p\">,<\/span> <span class=\"mf\">3.<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">exp2<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">my_tensor<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[0.2500, 0.5000, 1.0000],\n#         [2.0000, 4.0000, 8.0000]])\n<\/span>\n<span class=\"n\">my_tensor<\/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=\"o\">-<\/span><span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">0<\/span><span class=\"p\">],<\/span>\n                          <span class=\"p\">[<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">exp2<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">my_tensor<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[0.2500, 0.5000, 1.0000],\n#         [2.0000, 4.0000, 8.0000]])\n<\/span>\n<span class=\"n\">my_tensor<\/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=\"o\">-<\/span><span class=\"mf\">2.<\/span><span class=\"o\">+<\/span><span class=\"mf\">0.j<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mf\">1.<\/span><span class=\"o\">+<\/span><span class=\"mf\">0.j<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.<\/span><span class=\"o\">+<\/span><span class=\"mf\">0.j<\/span><span class=\"p\">],<\/span>\n                          <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> <span class=\"mf\">3.<\/span><span class=\"o\">+<\/span><span class=\"mf\">0.j<\/span><span class=\"p\">]])<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">exp2<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">my_tensor<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[0.2500+0.j, 0.5000+0.j, 1.0000+0.j],\n#         [2.0000+0.j, 4.0000+0.j, 8.0000+0.j]])\n<\/span>\n<span class=\"n\">my_tensor<\/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\">exp2<\/span><span class=\"p\">(<\/span><span class=\"nb\">input<\/span><span class=\"o\">=<\/span><span class=\"n\">my_tensor<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([[2., 1., 2.],\n#         [1., 2., 1.]])\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: exp() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \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 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0646\u062f e \u0628\u0627 \u0642\u062f\u0631\u062a x \u0627\u0632 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \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: *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627: exp() &hellip;<\/p>\n","protected":false},"author":2,"featured_media":75556,"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-75555","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\/75555","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=75555"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/75555\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/75556"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=75555"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=75555"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=75555"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}