Advertisement
Guest User

Untitled

a guest
Dec 13th, 2017
126
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
Python 3.59 KB | None | 0 0
  1. output.txt% stats 5
  2. Tue Dec 12 23:02:59 2017    output.txt
  3.  
  4.          12995510 function calls (12979120 primitive calls) in 38.430 seconds
  5.  
  6.    Ordered by: internal time
  7.    List reduced from 4596 to 5 due to restriction <5>
  8.  
  9.    ncalls  tottime  percall  cumtime  percall filename:lineno(function)
  10.    306404   11.290    0.000   11.290    0.000 {numpy.core.multiarray.zeros}
  11.    306404    4.267    0.000    8.947    0.000 /Users/spicyramen/Documents/Development/Python/gl-env/lib/python2.7/site-packages/keras/preprocessing/sequence.py:9(pad_sequences)
  12.         1    3.331    3.331   38.436   38.436 main.py:1(<module>)
  13.    306404    2.797    0.000   16.795    0.000 /Users/spicyramen/Documents/Development/Python/gl-env/lib/python2.7/site-packages/keras/utils/np_utils.py:7(to_categorical)
  14.    919338    2.323    0.000    2.323    0.000 {numpy.core.multiarray.array}
  15.  
  16.  
  17. output.txt% sort cumulative
  18. output.txt% stats 10
  19. Tue Dec 12 23:02:59 2017    output.txt
  20.  
  21.          12995510 function calls (12979120 primitive calls) in 38.430 seconds
  22.  
  23.    Ordered by: cumulative time
  24.    List reduced from 4596 to 10 due to restriction <10>
  25.  
  26.    ncalls  tottime  percall  cumtime  percall filename:lineno(function)
  27.         1    3.331    3.331   38.436   38.436 main.py:1(<module>)
  28.         1    1.732    1.732   28.536   28.536 main.py:194(create_sequences)
  29.    306404    2.797    0.000   16.795    0.000 /Users/spicyramen/Documents/Development/Python/gl-env/lib/python2.7/site-packages/keras/utils/np_utils.py:7(to_categorical)
  30.    306404   11.290    0.000   11.290    0.000 {numpy.core.multiarray.zeros}
  31.    306404    4.267    0.000    8.947    0.000 /Users/spicyramen/Documents/Development/Python/gl-env/lib/python2.7/site-packages/keras/preprocessing/sequence.py:9(pad_sequences)
  32.         1    0.000    0.000    3.519    3.519 main.py:154(load_photo_features)
  33.         1    0.006    0.006    3.517    3.517 /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/pickle.py:1377(load)
  34.         1    0.133    0.133    3.510    3.510 /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/pickle.py:845(load)
  35.     16185    0.226    0.000    2.913    0.000 /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/pickle.py:961(load_string)
  36.    919338    2.323    0.000    2.323    0.000 {numpy.core.multiarray.array}
  37.  
  38.  
  39. output.txt% sort time
  40. output.txt% stats 10
  41. Tue Dec 12 23:02:59 2017    output.txt
  42.  
  43.          12995510 function calls (12979120 primitive calls) in 38.430 seconds
  44.  
  45.    Ordered by: internal time
  46.    List reduced from 4596 to 10 due to restriction <10>
  47.  
  48.    ncalls  tottime  percall  cumtime  percall filename:lineno(function)
  49.    306404   11.290    0.000   11.290    0.000 {numpy.core.multiarray.zeros}
  50.    306404    4.267    0.000    8.947    0.000 /Users/spicyramen/Documents/Development/Python/gl-env/lib/python2.7/site-packages/keras/preprocessing/sequence.py:9(pad_sequences)
  51.         1    3.331    3.331   38.436   38.436 main.py:1(<module>)
  52.    306404    2.797    0.000   16.795    0.000 /Users/spicyramen/Documents/Development/Python/gl-env/lib/python2.7/site-packages/keras/utils/np_utils.py:7(to_categorical)
  53.    919338    2.323    0.000    2.323    0.000 {numpy.core.multiarray.array}
  54.         1    1.732    1.732   28.536   28.536 main.py:194(create_sequences)
  55.    145659    1.571    0.000    1.571    0.000 {method 'readline' of 'file' objects}
  56.     16365    1.137    0.000    1.139    0.000 {method 'decode' of 'str' objects}
  57.    306405    0.685    0.000    0.685    0.000 {method 'astype' of 'numpy.ndarray' objects}
  58.    306405    0.665    0.000    0.665    0.000 {numpy.core.multiarray.copyto}
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement