René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"pytorch lightning Fail","articleBody":"Following code stop with \r\n\u003e AttributeError: 'builtin_function_or_method' object has no attribute '__code__'. Did you mean: '__call__'?\r\n\r\n```clojure\r\n(ns pytorchlightning.core\r\n  (:gen-class)\r\n\r\n  (:require \r\n   [libpython-clj2.python :as py\r\n    :refer\r\n    [ py. py.- \r\n     as-jvm\r\n     set-attr!\r\n     get-item\r\n     -\u003epy-tuple\r\n     -\u003epy-list\r\n     ]]\r\n   \r\n   [libpython-clj2.require :refer [require-python]]\r\n   ))\r\n\r\n;;(py/initialize!)\r\n\r\n(require-python\r\n '[builtins :as python]\r\n '[torch]\r\n '[torch.nn :as nn :refer [Linear]]\r\n '[torch.nn.functional :refer [mse_loss]]\r\n '[torch.utils.data :refer [DataLoader Dataset]]\r\n '[torch.optim]\r\n '[pytorch_lightning]\r\n )\r\n\r\n\r\n(defonce model (atom nil))\r\n\r\n(def LitModel\r\n  (py/create-class\r\n   \"LitModel\" [pytorch_lightning/LightningModule]\r\n   {\"__init__\"\r\n    (py/make-tuple-instance-fn\r\n     (fn [self]\r\n       (py. pytorch_lightning/LightningModule  __init__ self)\r\n       (py/set-attr!  self \"layer\" (Linear 1 1))\r\n       nil))\r\n    \r\n    \"forward\"\r\n    (py/make-tuple-instance-fn\r\n     (fn [self x] (py. self layer x))\r\n     :arg-converter as-jvm\r\n     :method-name \"forward\"\r\n     )\r\n    \r\n    \"training_step\"\r\n    (py/make-tuple-instance-fn\r\n     (fn [self batch batch_idx]\r\n       (mse_loss (py/get-item batch 1) (py. self forward (py/get-item batch 0)))\r\n       ))\r\n    \"validation_step\"\r\n    (py/make-tuple-instance-fn\r\n     (fn [self batch batch_idx]\r\n       (mse_loss (py/get-item batch 1) (py. self forward (py/get-item batch 0)))\r\n       ))\r\n    \"test_step\"\r\n    (py/make-tuple-instance-fn\r\n     (fn [self batch batch_idx]\r\n       (mse_loss (py/get-item batch 1) (py. self forward (py/get-item batch 0)))\r\n       ))\r\n    \r\n    \"configure_optimizers\"\r\n    (py/make-tuple-instance-fn\r\n     (fn [self]\r\n       (torch.optim/SGD\r\n        (py. self parameters)\r\n        :lr 0.02)\r\n       ))\r\n    }))\r\n\r\n(def SimpleDataset\r\n  (py/create-class\r\n   \"SimpleDataset\" [Dataset]\r\n   {\"__init__\"\r\n    (py/make-tuple-instance-fn\r\n     (fn [self data] (py/set-attr! self \"data\" data)  nil))\r\n    \"__len__\"\r\n    (py/make-tuple-instance-fn \r\n     (fn [self] (python/len (py.- self data))))\r\n    \"__getitem__\"\r\n    (py/make-tuple-instance-fn\r\n     (fn [self idx]\r\n       (py/-\u003epy-tuple\r\n        [\r\n         (torch/tensor [(py/get-item  (py/get-item (py.- self data) idx) 0)] :dtype torch/float32)\r\n         (torch/tensor [(py/get-item  (py/get-item (py.- self data) idx) 1)] :dtype torch/float32)\r\n         ]\r\n        )\r\n       ))\r\n    }))\r\n\r\n\r\n(def SimpleDataModule\r\n  (py/create-class\r\n   \"SimpleDataModule\" [pytorch_lightning/LightningDataModule]\r\n   {\"__init__\"\r\n    (py/make-tuple-instance-fn\r\n     (fn [self data] (py/set-attr! self \"data\" data)  nil))\r\n    \r\n    \"train_dataloader\"\r\n    (py/make-tuple-instance-fn\r\n     (fn [self]\r\n       (DataLoader (SimpleDataset (py.- self data )) :batch_size 2 :shuffle false)))\r\n    \"val_dataloader\"\r\n    (py/make-tuple-instance-fn\r\n     (fn [self]\r\n       (DataLoader (SimpleDataset (py.- self data )) :batch_size 2 :shuffle false)))\r\n    \"test_dataloader\"\r\n    (py/make-tuple-instance-fn\r\n     (fn [self]\r\n       (DataLoader (SimpleDataset (py.- self data )) :batch_size 2 :shuffle false)))\r\n    }))\r\n\r\n\r\n\r\n\r\n(defn -main [\u0026 args]\r\n\r\n  (reset! model (LitModel))\r\n\r\n  (def data [[1.0 3.0] [2.0 5.0] [3.0 7.0] [4.0 9.0] [5.0 11.0]] )\r\n  (def data_pylist (py/-\u003epy-list data))\r\n\r\n  ;; (println  (py/get-item  (py/get-item data_pylist 0) 0))\r\n\r\n  (def train_dataset  (SimpleDataset data_pylist))\r\n  (def train_loader (DataLoader train_dataset :batch_size 2 :shuffle false))\r\n\r\n  ;; ;;for debug\r\n  ;; (def train_pylist (python/list train_loader))\r\n  ;; (def train_pylist_0 (py/get-item train_pylist 0))\r\n  ;; (println (py. @model training_step train_pylist_0 0) );;;OK.  maybe this part work\r\n\r\n  \r\n  (def trainer (pytorch_lightning/Trainer :max_epochs 10 ))\r\n\r\n  (def datamodu (SimpleDataModule data_pylist))\r\n  \r\n  (py. trainer fit @model train_loader)\r\n  ;;(py. trainer fit @model datamodu)  ;;also fail\r\n\r\n  )\r\n\r\n\r\n```\r\n","author":{"url":"https://github.com/niitsuma","@type":"Person","name":"niitsuma"},"datePublished":"2024-06-18T12:42:50.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":3},"url":"https://github.com/263/libpython-clj/issues/263"}