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KP
7c3a11ccef
|
4 years ago | |
|---|---|---|
| .. | ||
| features | 4 years ago | |
| README.md | 4 years ago | |
README.md
1. Prepare
First, install line_profiler via pip.
pip install line_profiler
2. Run
Run the specific script for profiling.
kernprof -l features/mel_spectrogram.py
python -m line_profiler -u 1e-3 mel_spectrogram.py.lprof
Result:
Timer unit: 0.001 s
Total time: 22.1208 s
File: features/mel_spectrogram.py
Function: test_melspect_cpu at line 13
Line # Hits Time Per Hit % Time Line Contents
==============================================================
13 @profile
14 def test_melspect_cpu(input_shape, times):
15 1 0.1 0.1 0.0 paddle.set_device('cpu')
16 1 234.5 234.5 1.1 x = paddle.randn(input_shape)
17 1 85.3 85.3 0.4 feature_extractor = paddleaudio.features.MelSpectrogram(**feat_conf, dtype=x.dtype)
18 101 0.5 0.0 0.0 for i in range(times):
19 100 21800.5 218.0 98.6 y = feature_extractor(x)
Total time: 4.80543 s
File: features/mel_spectrogram.py
Function: test_melspect_gpu at line 22
Line # Hits Time Per Hit % Time Line Contents
==============================================================
22 @profile
23 def test_melspect_gpu(input_shape, times):
24 1 0.5 0.5 0.0 paddle.set_device('gpu')
25 1 4144.8 4144.8 86.3 x = paddle.randn(input_shape)
26 1 41.9 41.9 0.9 feature_extractor = paddleaudio.features.MelSpectrogram(**feat_conf, dtype=x.dtype)
27 101 0.2 0.0 0.0 for i in range(times):
28 100 618.1 6.2 12.9 y = feature_extractor(x)