Хламидомонада / Говнокод #29172 Ссылка на оригинал

0

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20
  21. 21
  22. 22
  23. 23
  24. 24
  25. 25
  26. 26
  27. 27
  28. 28
  29. 29
  30. 30
  31. 31
  32. 32
  33. 33
  34. 34
  35. 35
  36. 36
  37. 37
  38. 38
  39. 39
  40. 40
  41. 41
  42. 42
  43. 43
  44. 44
  45. 45
  46. 46
  47. 47
  48. 48
  49. 49
  50. 50
  51. 51
  52. 52
  53. 53
  54. 54
  55. 55
  56. 56
  57. 57
  58. 58
  59. 59
  60. 60
  61. 61
  62. 62
  63. 63
  64. 64
  65. 65
  66. 66
  67. 67
  68. 68
(ql:quickload :blockchain)
(ql:quickload :quantum)
(ql:quickload :windows)
(ql:quickload :connector-5g)
(ql:quickload :connector-4g)
(ql:quickload :nft)
(ql:quickload :nn-lisp)
(ql:quickload :rl)
(ql:quickload :cl-cuda)
(ql:quickload :cl-tpu)
(ql:quickload :cl-blas)
(ql:quickload :cl-cublas)
(ql:quickload :cudnn)
(ql:quickload :spike)
(ql:quickload :sparse-tensor)
(ql:quickload :trivial-cpu)

(defpackage :skynet.core.nn
  (:use :cl))

;; AGPL 3.0
;; ALL RIGHTS ARE RESERVED

;;;; *-* Mode: Lisp *-*
;; Author: John McCarthy II
;; License: AGPL 3.0
;; File: skynet-nn.lisp
;; Filepath: skynet/core/skynet-nn.lisp
;;;;

(defun ai-cublas-tpu-engine-nft-innovative-algorithm-revolutionary-neural-network-blas-cudnn-5g-4g-quantum-blockchain-lstm-rnn-cnn-gru-fnn-fc-resnet-big-data-machine-learning-data-science (blockchain 5g ai)
  "Uploads information from the blockchain to artificial intelligence through modern technologies"

  ;; Initialize the blockchain and adapter

  (let* ((msg "GET_BLOCKCHAIN_AI_DATA")
            (data (or 
                         (connector-5g:load-data-from-server msg)
                         (connector-4g:load-data-from-server msg)))
            (nn-prediction (nn-lisp:forward ai data))
            (device (or
                           (tpu:is-available)
                           (gpu:is-available)
                           (trivial-cpu:get-device))))
  (setf (blockchain:data blockchain) nn-prediction)
  (setf (blockchain:silent-mode blockchain) nil)
  (setf (blockchain:backend blockchain) device)
  (blockchain:start-blockchain blockchain))

  ;; Now we need to use hardware acceleration

  (defun relu ())
  (defun sigmoid ())
   
  (setf #'relu (or #'cudnn:relu #'nnl2:relu)
           #'sigmoid (or #'cudnn:sigmoid #'nnl2:sigmoid)) 
   

  ;; We get a prediction of a modern neural network spike

  (let ((snn (spike:make-snn :in 4 :out 8 :reward (rl:make-q-table)))) (blockchain:transfer blockchain :to snn :alignment 4)
  (windows:make-snapshot)
  (quantum:lparallel #'(lambda () (spike:prediction :keyc #'relu :keyd #'sigmoid :to ai :meta (nft:get-latest-metadata))

  ;; We copy the AI data to the tensor and return

  (let ((data (sparse:make-tensor (nnl-lisp:data ai))))
    data))

Запостил: lisp-worst-code lisp-worst-code, (Updated )

Комментарии (10) RSS

Добавить комментарий

Где здесь C++, guest?!

    А не использовать ли нам bbcode?

    ↑
    8
    ↓