{"id":69379,"date":"2024-07-15T02:02:17","date_gmt":"2024-07-14T22:32:17","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/remainder-and-fmod-in-pytorch-144k\/"},"modified":"2024-07-15T02:02:17","modified_gmt":"2024-07-14T22:32:17","slug":"remainder-and-fmod-in-pytorch-144k","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/remainder-and-fmod-in-pytorch-144k\/","title":{"rendered":"\u0628\u0627\u0642\u06cc \u0645\u0627\u0646\u062f\u0647() \u0648 fmod() \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>rester() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0645\u062d\u0627\u0633\u0628\u0647 modulo(mod) \u0639\u0645\u0644\u06cc\u0627\u062a \u0645\u062f\u0648\u0644 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0631\u0627 \u0628\u0627 \u062f\u0648 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0627\u0632 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u06cc\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0648 \u06cc\u06a9 \u0627\u0633\u06a9\u0627\u0644\u0631 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u062f \u0648 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0631\u0627 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f. \u062a\u0627\u0646\u0633\u0648\u0631 D \u0627\u0632 \u0639\u0646\u0627\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>remainder()  \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(\u0646\u0648\u0639:tensor \u06cc\u0627 scalar \u0627\u0632 int \u06cc\u0627 float) \u06cc\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u062a\u0627\u0646\u0633\u0648\u0631 (\u0646\u0648\u0639:tensor \u0627\u0632 int \u06cc\u0627 float)(\u0636\u0631\u0648\u0631\u06cc).  *torch \u0628\u0627\u06cc\u062f \u0627\u0632 \u0627\u0633\u06a9\u0627\u0644\u0631 \u0628\u062f\u0648\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f input=.<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 \u06cc\u0627 float).<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>\u062a\u0646\u0638\u06cc\u0645\u0627\u062a 0(int) \u0628\u0647 other \u0645\u06cc \u0634\u0648\u062f ZeroDivisionError.<\/p>\n<p>\u062a\u0631\u06a9\u06cc\u0628 \u06cc\u06a9 \u0627\u0633\u06a9\u0627\u0644\u0631(input) \u0648 \u0627\u0633\u06a9\u0627\u0644\u0631(other) \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u06cc\u0633\u062a.<\/p>\n<p>\u0646\u062a\u06cc\u062c\u0647 \u0647\u0645\u0627\u0646 \u0639\u0644\u0627\u0645\u062a \u0631\u0627 \u062f\u0627\u0631\u062f other.<\/p>\n<p>import torch<\/p>\n<p>tensor1 = torch.tensor([9, 7, 6])<br \/>\ntensor2 = torch.tensor([[4, -4, 3], [-2, 5, -5]])<\/p>\n<p>torch.remainder(input=tensor1, other=tensor2)<br \/>\ntensor1.remainder(other=tensor2)<br \/>\n# tensor([[1, -1, 0], [-1, 2, -4]])<\/p>\n<p>torch.remainder(9, other=tensor2)<br \/>\n# tensor([[1, -3, 0], [-1, 4, -1]])<\/p>\n<p>torch.remainder(input=tensor1, other=4)<br \/>\n# tensor([1, 3, 2])<\/p>\n<p>tensor1 = torch.tensor([-9, -7, -6])<br \/>\ntensor2 = torch.tensor([[4, -4, 3], [-2, 5, -5]])<\/p>\n<p>torch.remainder(input=tensor1, other=tensor2)<br \/>\n# tensor([[3, -3, 0],<\/p>\n<p>torch.remainder(-9, other=tensor2)<br \/>\n# tensor([[3, -1, 0], [-1, 1, -4]])<\/p>\n<p>torch.remainder(input=tensor1, other=4)<br \/>\n# tensor([3, 1, 2])<\/p>\n<p>tensor1 = torch.tensor([9.75, 7.08, 6.26])<br \/>\ntensor2 = torch.tensor([[4.26, -4.54, 3.37], [-2.16, 5.43, -5.98]])<\/p>\n<p>torch.remainder(input=tensor1, other=tensor2)<br \/>\n# tensor([[1.2300, -2.0000, 2.8900],<br \/>\n#         [-1.0500, 1.6500, -5.7000]])<\/p>\n<p>torch.remainder(9.75, other=tensor2)<br \/>\n# tensor([[1.2300, -3.8700, 3.0100], [-1.0500, 4.3200, -2.2100]])<\/p>\n<p>torch.remainder(input=tensor1, other=4.26)<br \/>\n# tensor([1.2300, 2.8200, 2.0000])<\/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>fmod() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0645\u062d\u0627\u0633\u0628\u0647 modulo(mod) \u0627\u0632 C++sstd::fmod \u0631\u0627 \u0628\u0627 \u062f\u0648 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0627\u0632 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u06cc\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0648 \u06cc\u06a9 \u0627\u0633\u06a9\u0627\u0644\u0631 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u062f \u0648 0D \u0631\u0627 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f. \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D \u0627\u0632 \u0639\u0646\u0627\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>fmod()  \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 \u06cc\u0627 float).<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 \u06cc\u0627 float).<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>\u062a\u0646\u0638\u06cc\u0645\u0627\u062a 0(int) \u0628\u0647 other \u0645\u06cc \u0634\u0648\u062f ZeroDivisionError.<\/p>\n<p>\u0646\u062a\u06cc\u062c\u0647 \u0647\u0645\u0627\u0646 \u0639\u0644\u0627\u0645\u062a \u062a\u0627\u0646\u0633\u0648\u0631 \u0627\u0635\u0644\u06cc \u0631\u0627 \u062f\u0627\u0631\u062f.<\/p>\n<p>import torch<\/p>\n<p>tensor1 = torch.tensor([9, 7, 6])<br \/>\ntensor2 = torch.tensor([[4, -4, 3], [-2, 5, -5]])<\/p>\n<p>torch.fmod(input=tensor1, other=tensor2)<br \/>\ntensor1.fmod(other=tensor2)<br \/>\n# tensor([[1, 3, 0], [1, 2, 1]])<\/p>\n<p>torch.fmod(input=tensor1, other=4)<br \/>\n# tensor([1, 3, 2])<\/p>\n<p>tensor1 = torch.tensor([-9, -7, -6])<br \/>\ntensor2 = torch.tensor([[4, -4, 3], [-2, 5, -5]])<\/p>\n<p>torch.fmod(input=tensor1, other=tensor2)<br \/>\n# tensor([[-1, -3, 0], [-1, -2, -1]])<\/p>\n<p>torch.fmod(input=tensor1, other=4)<br \/>\n# tensor([-1, -3, -2])<\/p>\n<p>tensor1 = torch.tensor([9.75, 7.08, 6.26])<br \/>\ntensor2 = torch.tensor([[4.26, -4.54, 3.37], [-2.16, 5.43, -5.98]])<\/p>\n<p>torch.fmod(input=tensor1, other=tensor2)<br \/>\n# tensor([[1.2300, 2.5400, 2.8900], [1.1100, 1.6500, 0.2800]])<\/p>\n<p>torch.fmod(input=tensor1, other=4.26)<br \/>\n# tensor([1.2300, 2.8200, 2.0000])<\/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<div data-article-id=\"1923472\" id=\"article-body\">\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<p>rester() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0645\u062d\u0627\u0633\u0628\u0647 modulo(mod) \u0639\u0645\u0644\u06cc\u0627\u062a \u0645\u062f\u0648\u0644 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0631\u0627 \u0628\u0627 \u062f\u0648 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0627\u0632 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u06cc\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0648 \u06cc\u06a9 \u0627\u0633\u06a9\u0627\u0644\u0631 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u062f \u0648 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0631\u0627 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f. \u062a\u0627\u0646\u0633\u0648\u0631 D \u0627\u0632 \u0639\u0646\u0627\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>remainder()<\/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>(\u0646\u0648\u0639:<code>tensor<\/code> \u06cc\u0627 <code>scalar<\/code> \u0627\u0632 <code>int<\/code> \u06cc\u0627 <code>float<\/code>) \u06cc\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u062a\u0627\u0646\u0633\u0648\u0631 (\u0646\u0648\u0639:<code>tensor<\/code> \u0627\u0632 <code>int<\/code> \u06cc\u0627 <code>float<\/code>)(\u0636\u0631\u0648\u0631\u06cc).  *<code>torch<\/code> \u0628\u0627\u06cc\u062f \u0627\u0632 \u0627\u0633\u06a9\u0627\u0644\u0631 \u0628\u062f\u0648\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f <code>input=<\/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> \u06cc\u0627 <code>float<\/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>\u062a\u0646\u0638\u06cc\u0645\u0627\u062a <code>0<\/code>(<code>int<\/code>) \u0628\u0647 <code>other<\/code> \u0645\u06cc \u0634\u0648\u062f <code>ZeroDivisionError<\/code>.<\/li>\n<li>\u062a\u0631\u06a9\u06cc\u0628 \u06cc\u06a9 \u0627\u0633\u06a9\u0627\u0644\u0631(<code>input<\/code>) \u0648 \u0627\u0633\u06a9\u0627\u0644\u0631(<code>other<\/code>) \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u06cc\u0633\u062a.<\/li>\n<li>\u0646\u062a\u06cc\u062c\u0647 \u0647\u0645\u0627\u0646 \u0639\u0644\u0627\u0645\u062a \u0631\u0627 \u062f\u0627\u0631\u062f <code>other<\/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\">9<\/span><span class=\"p\">,<\/span> <span class=\"mi\">7<\/span><span class=\"p\">,<\/span> <span class=\"mi\">6<\/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\">4<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">4<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">],<\/span> <span class=\"p\">[<\/span><span class=\"o\">-<\/span><span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">5<\/span><span class=\"p\">]])<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">remainder<\/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\">remainder<\/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([[1, -1, 0], [-1, 2, -4]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">remainder<\/span><span class=\"p\">(<\/span><span class=\"mi\">9<\/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([[1, -3, 0], [-1, 4, -1]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">remainder<\/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\">4<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([1, 3, 2])\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=\"o\">-<\/span><span class=\"mi\">9<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">7<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">6<\/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\">4<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">4<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">],<\/span> <span class=\"p\">[<\/span><span class=\"o\">-<\/span><span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">5<\/span><span class=\"p\">]])<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">remainder<\/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([[3, -3, 0],\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">remainder<\/span><span class=\"p\">(<\/span><span class=\"o\">-<\/span><span class=\"mi\">9<\/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([[3, -1, 0], [-1, 1, -4]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">remainder<\/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\">4<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([3, 1, 2])\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\">9.75<\/span><span class=\"p\">,<\/span> <span class=\"mf\">7.08<\/span><span class=\"p\">,<\/span> <span class=\"mf\">6.26<\/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\">4.26<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mf\">4.54<\/span><span class=\"p\">,<\/span> <span class=\"mf\">3.37<\/span><span class=\"p\">],<\/span> <span class=\"p\">[<\/span><span class=\"o\">-<\/span><span class=\"mf\">2.16<\/span><span class=\"p\">,<\/span> <span class=\"mf\">5.43<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mf\">5.98<\/span><span class=\"p\">]])<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">remainder<\/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([[1.2300, -2.0000, 2.8900],\n#         [-1.0500, 1.6500, -5.7000]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">remainder<\/span><span class=\"p\">(<\/span><span class=\"mf\">9.75<\/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([[1.2300, -3.8700, 3.0100], [-1.0500, 4.3200, -2.2100]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">remainder<\/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\">4.26<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([1.2300, 2.8200, 2.0000])\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>fmod() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0645\u062d\u0627\u0633\u0628\u0647 modulo(mod) \u0627\u0632 C++sstd::fmod \u0631\u0627 \u0628\u0627 \u062f\u0648 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0627\u0632 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u06cc\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0648 \u06cc\u06a9 \u0627\u0633\u06a9\u0627\u0644\u0631 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u062f \u0648 0D \u0631\u0627 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f. \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u062a\u0627\u0646\u0633\u0648\u0631 D \u0627\u0632 \u0639\u0646\u0627\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>fmod()<\/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> \u06cc\u0627 <code>float<\/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> \u06cc\u0627 <code>float<\/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>\u062a\u0646\u0638\u06cc\u0645\u0627\u062a <code>0<\/code>(<code>int<\/code>) \u0628\u0647 <code>other<\/code> \u0645\u06cc \u0634\u0648\u062f <code>ZeroDivisionError<\/code>.<\/li>\n<li>\u0646\u062a\u06cc\u062c\u0647 \u0647\u0645\u0627\u0646 \u0639\u0644\u0627\u0645\u062a \u062a\u0627\u0646\u0633\u0648\u0631 \u0627\u0635\u0644\u06cc \u0631\u0627 \u062f\u0627\u0631\u062f.\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\">9<\/span><span class=\"p\">,<\/span> <span class=\"mi\">7<\/span><span class=\"p\">,<\/span> <span class=\"mi\">6<\/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\">4<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">4<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">],<\/span> <span class=\"p\">[<\/span><span class=\"o\">-<\/span><span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">5<\/span><span class=\"p\">]])<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">fmod<\/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\">fmod<\/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([[1, 3, 0], [1, 2, 1]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">fmod<\/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\">4<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([1, 3, 2])\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=\"o\">-<\/span><span class=\"mi\">9<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">7<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">6<\/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\">4<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">4<\/span><span class=\"p\">,<\/span> <span class=\"mi\">3<\/span><span class=\"p\">],<\/span> <span class=\"p\">[<\/span><span class=\"o\">-<\/span><span class=\"mi\">2<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">5<\/span><span class=\"p\">]])<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">fmod<\/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([[-1, -3, 0], [-1, -2, -1]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">fmod<\/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\">4<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([-1, -3, -2])\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\">9.75<\/span><span class=\"p\">,<\/span> <span class=\"mf\">7.08<\/span><span class=\"p\">,<\/span> <span class=\"mf\">6.26<\/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\">4.26<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mf\">4.54<\/span><span class=\"p\">,<\/span> <span class=\"mf\">3.37<\/span><span class=\"p\">],<\/span> <span class=\"p\">[<\/span><span class=\"o\">-<\/span><span class=\"mf\">2.16<\/span><span class=\"p\">,<\/span> <span class=\"mf\">5.43<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mf\">5.98<\/span><span class=\"p\">]])<\/span>\n\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">fmod<\/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([[1.2300, 2.5400, 2.8900], [1.1100, 1.6500, 0.2800]])\n<\/span>\n<span class=\"n\">torch<\/span><span class=\"p\">.<\/span><span class=\"nf\">fmod<\/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\">4.26<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># tensor([1.2300, 2.8200, 2.0000])\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><\/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: rester() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0645\u062d\u0627\u0633\u0628\u0647 modulo(mod) \u0639\u0645\u0644\u06cc\u0627\u062a \u0645\u062f\u0648\u0644 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0631\u0627 \u0628\u0627 \u062f\u0648 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0627\u0632 \u0639\u0646\u0627\u0635\u0631 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u06cc\u0627 \u062a\u0627\u0646\u0633\u0648\u0631 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0648 \u06cc\u06a9 \u0627\u0633\u06a9\u0627\u0644\u0631 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u062f \u0648 0D \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0631\u0627 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f. \u062a\u0627\u0646\u0633\u0648\u0631 D &hellip;<\/p>\n","protected":false},"author":2,"featured_media":69380,"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-69379","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\/69379","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=69379"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/69379\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/69380"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=69379"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=69379"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=69379"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}