Open SaqlainHussainShah opened 4 years ago
I am getting this error while running scoring.py file. I am using NVIDIA GPU on windows 10. I have also tried multiple solutions avaliable on stackoverflow
Processing enroll samples.... Traceback (most recent call last):
File "E:\task1\code\scoring.py", line 86, in get_id_result()
File "E:\task1\code\scoring.py", line 60, in get_id_result enroll_result = get_embeddings_from_list_file(model, c.ENROLL_LIST_FILE, c.MAX_SEC)
File "E:\task1\code\scoring.py", line 48, in get_embeddings_from_list_file result['features'] = result['filename'].apply(lambda x: get_fft_spectrum(x, buckets))
File "C:\Users\Anaconda3\envs\vgg\lib\site-packages\pandas\core\series.py", line 3848, in apply mapped = lib.map_infer(values, f, convert=convert_dtype)
File "pandas_libs\lib.pyx", line 2329, in pandas._libs.lib.map_infer
File "E:\task1\code\scoring.py", line 48, in result['features'] = result['filename'].apply(lambda x: get_fft_spectrum(x, buckets))
File "E:\task1\code\wav_reader.py", line 43, in get_fft_spectrum fft = abs(np.fft.fft(frames,n=c.NUM_FFT))
File "<__array_function__ internals>", line 6, in fft
File "C:\Users\Anaconda3\envs\vgg\lib\site-packages\numpy\fft_pocketfft.py", line 188, in fft output = _raw_fft(a, n, axis, False, True, inv_norm)
File "C:\Users\Anaconda3\envs\vgg\lib\site-packages\numpy\fft_pocketfft.py", line 77, in _raw_fft r = pfi.execute(a, is_real, is_forward, fct)
MemoryError: Unable to allocate 13.9 MiB for an array with shape (1779, 512) and data type complex128
I am getting this error while running scoring.py file. I am using NVIDIA GPU on windows 10. I have also tried multiple solutions avaliable on stackoverflow
Processing enroll samples.... Traceback (most recent call last):
File "E:\task1\code\scoring.py", line 86, in
get_id_result()
File "E:\task1\code\scoring.py", line 60, in get_id_result enroll_result = get_embeddings_from_list_file(model, c.ENROLL_LIST_FILE, c.MAX_SEC)
File "E:\task1\code\scoring.py", line 48, in get_embeddings_from_list_file result['features'] = result['filename'].apply(lambda x: get_fft_spectrum(x, buckets))
File "C:\Users\Anaconda3\envs\vgg\lib\site-packages\pandas\core\series.py", line 3848, in apply mapped = lib.map_infer(values, f, convert=convert_dtype)
File "pandas_libs\lib.pyx", line 2329, in pandas._libs.lib.map_infer
File "E:\task1\code\scoring.py", line 48, in
result['features'] = result['filename'].apply(lambda x: get_fft_spectrum(x, buckets))
File "E:\task1\code\wav_reader.py", line 43, in get_fft_spectrum fft = abs(np.fft.fft(frames,n=c.NUM_FFT))
File "<__array_function__ internals>", line 6, in fft
File "C:\Users\Anaconda3\envs\vgg\lib\site-packages\numpy\fft_pocketfft.py", line 188, in fft output = _raw_fft(a, n, axis, False, True, inv_norm)
File "C:\Users\Anaconda3\envs\vgg\lib\site-packages\numpy\fft_pocketfft.py", line 77, in _raw_fft r = pfi.execute(a, is_real, is_forward, fct)
MemoryError: Unable to allocate 13.9 MiB for an array with shape (1779, 512) and data type complex128