{"id":8172,"date":"2024-12-31T02:45:11","date_gmt":"2024-12-30T23:45:11","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/pytorchta-atleast_1d-fonksiyonunun-detayli-anlatimi\/"},"modified":"2024-12-31T02:45:11","modified_gmt":"2024-12-30T23:45:11","slug":"pytorchta-atleast_1d-fonksiyonunun-detayli-anlatimi","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/pytorchta-atleast_1d-fonksiyonunun-detayli-anlatimi\/","title":{"rendered":"PyTorch&#8217;ta atleast_1d Fonksiyonunun Detayl\u0131 Anlat\u0131m\u0131"},"content":{"rendered":"<p>PyTorch&#8217;ta atleast_1d Fonksiyonunun Detayl\u0131 Anlat\u0131m\u0131<\/p>\n<p>Merhaba, ben Fatih Soysal. Bu makalede, PyTorch k\u00fct\u00fcphanesinde s\u0131kl\u0131kla kullan\u0131lan ve \u00f6zellikle dizi i\u015flemlerinde b\u00fcy\u00fck kolayl\u0131k sa\u011flayan  <code>atleast_1d<\/code> fonksiyonunu detayl\u0131 bir \u015fekilde inceleyece\u011fiz.  Bu fonksiyon, verilen girdiyi en az bir boyutlu bir diziye d\u00f6n\u00fc\u015ft\u00fcrerek, kodlar\u0131m\u0131z\u0131n daha temiz ve hatas\u0131z \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flar.  \u00d6zellikle farkl\u0131 \u015fekillerde gelen verilerle \u00e7al\u0131\u015f\u0131rken, bu fonksiyonun \u00f6nemi daha da artmaktad\u0131r.<\/p>\n<p>\u00d6ncelikle,  <code>atleast_1d<\/code> fonksiyonunun ne i\u015fe yarad\u0131\u011f\u0131n\u0131 daha iyi anlamak i\u00e7in bir \u00f6rne\u011fe bakal\u0131m.  E\u011fer tek bir say\u0131sal de\u011feriniz varsa ve bunu bir dizi i\u015flemine sokman\u0131z gerekiyorsa,  <code>atleast_1d<\/code> fonksiyonu bu say\u0131sal de\u011feri tek elemanl\u0131 bir diziye d\u00f6n\u00fc\u015ft\u00fcr\u00fcr.  Bu sayede, kodunuzun geri kalan\u0131nda boyut uyumsuzlu\u011fu hatalar\u0131yla kar\u015f\u0131la\u015fmazs\u0131n\u0131z.  Ayn\u0131 durum, zaten bir dizi olan veriler i\u00e7in de ge\u00e7erlidir; fonksiyon, birden fazla boyutu olan dizilerde herhangi bir de\u011fi\u015fiklik yapmaz. K\u0131sacas\u0131, fonksiyon girdiyi en az 1 boyutlu bir diziye d\u00f6n\u00fc\u015ft\u00fcrmeyi garanti eder.<\/p>\n<h2>atleast_1d Fonksiyonunun Kullan\u0131m\u0131<\/h2>\n<p>Fonksiyonun kullan\u0131m\u0131 olduk\u00e7a basittir.  <code>torch.atleast_1d(input)<\/code> \u015feklinde kullan\u0131l\u0131r.  <code>input<\/code> parametresi, d\u00f6n\u00fc\u015ft\u00fcr\u00fclmek istenen say\u0131, liste veya dizi olabilir.  Fonksiyonun \u00e7\u0131kt\u0131s\u0131 ise, her zaman en az bir boyuta sahip bir PyTorch tens\u00f6r\u00fcd\u00fcr.<\/p>\n<pre><code class=\"language-python\">\nimport torch\n\n# Tek bir say\u0131\nscalar = 5\nresult1 = torch.atleast_1d(scalar)\nprint(f\"Scalar input: {scalar}, Output: {result1}, Shape: {result1.shape}\")\n\n# Liste\nmy_list = [1, 2, 3]\nresult2 = torch.atleast_1d(my_list)\nprint(f\"List input: {my_list}, Output: {result2}, Shape: {result2.shape}\")\n\n# Zaten bir dizi\nmy_array = torch.tensor([4, 5, 6])\nresult3 = torch.atleast_1d(my_array)\nprint(f\"Array input: {my_array}, Output: {result3}, Shape: {result3.shape}\")\n\n# \u00c7ok boyutlu dizi\nmy_tensor = torch.tensor([[1,2],[3,4]])\nresult4 = torch.atleast_1d(my_tensor)\nprint(f\"Tensor input: {my_tensor}, Output: {result4}, Shape: {result4.shape}\")\n<\/code><\/pre>\n<p>Yukar\u0131daki kod blo\u011funda g\u00f6r\u00fcld\u00fc\u011f\u00fc gibi,  <code>atleast_1d<\/code> fonksiyonu, farkl\u0131 girdi tipleri i\u00e7in beklendi\u011fi gibi \u00e7al\u0131\u015f\u0131r.  Tek bir say\u0131 bir diziye d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcrken, zaten bir dizi olan verilerde herhangi bir de\u011fi\u015fiklik olmaz. Bu sayede, kodunuzun daha robust ve hataya kar\u015f\u0131 daha dayan\u0131kl\u0131 olmas\u0131n\u0131 sa\u011flar.<\/p>\n<h2>atleast_1d&#8217;nin Avantajlar\u0131<\/h2>\n<p>Bu fonksiyonun en b\u00fcy\u00fck avantaj\u0131, kodun okunabilirli\u011fini ve s\u00fcrd\u00fcr\u00fclebilirli\u011fini art\u0131rmas\u0131d\u0131r.  Farkl\u0131 \u015fekillerde gelen verileri birle\u015ftirme veya i\u015flemler yaparken,  <code>atleast_1d<\/code> fonksiyonu ile boyut uyumsuzlu\u011fu hatalar\u0131n\u0131 \u00f6nleyebilirsiniz.  Sonu\u00e7 olarak, hata ay\u0131klama s\u00fcrenizi k\u0131saltabilir ve kodunuzun daha g\u00fcvenilir olmas\u0131n\u0131 sa\u011flayabilirsiniz.  Ayr\u0131ca, kodunuzun daha temiz ve daha anla\u015f\u0131l\u0131r olmas\u0131na katk\u0131 sa\u011flar.<\/p>\n<p>\u00d6zetle, PyTorch&#8217;taki <code>atleast_1d<\/code> fonksiyonu, \u00f6zellikle farkl\u0131 \u015fekillerdeki verilerle \u00e7al\u0131\u015f\u0131rken son derece kullan\u0131\u015fl\u0131 ve zaman kazand\u0131ran bir ara\u00e7t\u0131r.  Bu fonksiyonu kullanarak kodunuzun daha g\u00fcvenilir, daha okunabilir ve daha s\u00fcrd\u00fcr\u00fclebilir olmas\u0131n\u0131 sa\u011flayabilirsiniz.  Daha fazla PyTorch ipucu ve \u00f6\u011fretici i\u00e7erikler i\u00e7in <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> adresini ziyaret edebilirsiniz.  Ayr\u0131ca, konuyla ilgili daha detayl\u0131 bilgi i\u00e7in <a href=\"https:\/\/dev.to\/hyperkai\/atleast1d-in-pytorch-2i9l\">bu \u0130ngilizce makaleye<\/a> g\u00f6z atabilirsiniz.<\/p>\n<p>Umar\u0131m bu makale PyTorch&#8217;ta <code>atleast_1d<\/code> fonksiyonunu anlaman\u0131za yard\u0131mc\u0131 olmu\u015ftur.  Sorular\u0131n\u0131z veya \u00f6nerileriniz varsa, l\u00fctfen yorumlarda belirtin.<\/p>\n<p>#Etiketler: PyTorch, atleast_1d, dizi i\u015flemleri, tens\u00f6r, Python, derin \u00f6\u011frenme, makine \u00f6\u011frenmesi, programlama, kodlama, Fatih Soysal<\/p>\n","protected":false},"excerpt":{"rendered":"PyTorch&#8217;ta atleast_1d Fonksiyonunun Detayl\u0131 Anlat\u0131m\u0131 Merhaba, ben Fatih Soysal. Bu makalede, PyTorch k\u00fct\u00fcphanesinde s\u0131kl\u0131kla kullan\u0131lan ve \u00f6zellikle dizi&hellip;","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-8172","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>PyTorch&#039;ta atleast_1d Fonksiyonunun Detayl\u0131 Anlat\u0131m\u0131<\/title>\n<meta name=\"description\" content=\"Merhaba, ben Fatih Soysal. Bu makalede, PyTorch k\u00fct\u00fcphanesinde s\u0131kl\u0131kla kullan\u0131lan ve \u00f6zellikle dizi i\u015flemlerinde b\u00fcy\u00fck kolayl\u0131k sa\u011flayan atleast_1d fonksiyonunu detayl\u0131 bir \u015fekilde inceleyece\u011fiz. Bu fonksiyon, verilen girdiyi en az bir boyutlu bir diziye d\u00f6n\u00fc\u015ft\u00fcrerek, kodlar\u0131m\u0131z\u0131n daha temiz ve hatas\u0131z \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flar. \u00d6zellikle farkl\u0131 \u015fekillerde gelen verilerle \u00e7al\u0131\u015f\u0131rken, bu fonksiyonun \u00f6nemi daha da artmaktad\u0131r.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/pytorchta-atleast_1d-fonksiyonunun-detayli-anlatimi\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PyTorch&#039;ta atleast_1d Fonksiyonunun Detayl\u0131 Anlat\u0131m\u0131\" \/>\n<meta property=\"og:description\" content=\"Merhaba, ben Fatih Soysal. 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Bu fonksiyon, verilen girdiyi en az bir boyutlu bir diziye d\u00f6n\u00fc\u015ft\u00fcrerek, kodlar\u0131m\u0131z\u0131n daha temiz ve hatas\u0131z \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flar. \u00d6zellikle farkl\u0131 \u015fekillerde gelen verilerle \u00e7al\u0131\u015f\u0131rken, bu fonksiyonun \u00f6nemi daha da artmaktad\u0131r.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/pytorchta-atleast_1d-fonksiyonunun-detayli-anlatimi\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2024-12-30T23:45:11+00:00\" \/>\n<meta name=\"author\" content=\"Fatih Soysal\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fatih Soysal\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/pytorchta-atleast_1d-fonksiyonunun-detayli-anlatimi\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/pytorchta-atleast_1d-fonksiyonunun-detayli-anlatimi\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"PyTorch&#8217;ta atleast_1d Fonksiyonunun Detayl\u0131 Anlat\u0131m\u0131\",\"datePublished\":\"2024-12-30T23:45:11+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/pytorchta-atleast_1d-fonksiyonunun-detayli-anlatimi\/\"},\"wordCount\":484,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/pytorchta-atleast_1d-fonksiyonunun-detayli-anlatimi\/#respond\"]}],\"copyrightYear\":\"2024\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/pytorchta-atleast_1d-fonksiyonunun-detayli-anlatimi\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/pytorchta-atleast_1d-fonksiyonunun-detayli-anlatimi\/\",\"name\":\"PyTorch'ta atleast_1d Fonksiyonunun Detayl\u0131 Anlat\u0131m\u0131\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2024-12-30T23:45:11+00:00\",\"description\":\"Merhaba, ben Fatih Soysal. 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