memory leak

[tomjerrygithub]

Line # Mem usage Increment Line Contents

 6    363.0 MiB    363.0 MiB   @profile
 7                             def test():
 8                                 
 9    363.0 MiB      0.0 MiB       media = '8560_00.mp4'
10                             
11    710.4 MiB    347.4 MiB       segmentation = seg(media)
12                                 
13    710.4 MiB      0.0 MiB       print(segmentation)

Line # Mem usage Increment Line Contents

 6    937.0 MiB    937.0 MiB   @profile
 7                             def test():
 8                                 
 9    937.0 MiB      0.0 MiB       media = '8560_00.mp4'
10                             
11   1086.5 MiB    149.6 MiB       segmentation = seg(media)
12                                 
13   1086.5 MiB      0.0 MiB       print(segmentation)

Line # Mem usage Increment Line Contents

 6   1498.8 MiB   1498.8 MiB   @profile
 7                             def test():
 8                                 
 9   1498.8 MiB      0.0 MiB       media = '8560_00.mp4'
10                             
11   1613.3 MiB    114.5 MiB       segmentation = seg(media)
12                                 
13   1613.3 MiB      0.0 MiB       print(segmentation)

`
from inaSpeechSegmenter import Segmenter, seg2csv
from memory_profiler import profile

seg = Segmenter(vad_engine='smn',detect_gender=False)

@Profile
def test():

media = '8560_00.mp4'

segmentation = seg(media)

print(segmentation)

for i in range(10):
test()
`

python 3.7.3
tensorflow 2.2.0
keras 2.4.3

[DavidDoukhan]

Dear @tomjerrygithub ,

These issues were due to changes in tensorflow behavior.
These have been fixed.

[chazo1994]

changes in tensorflow

@DavidDoukhan
Which version of tensorflow or the commit of this repos was fixed these issues?