numpy and type errors

[keto33]

I believe the code should be updated due to some changes in numpy and handling the types. In running the first example, I got this set of errors:

loading example backing track CQT
exception in save_outputs hasattr(): attribute name must be string: Traceback (most recent call last):
  File "/home/keto/autotuner/utils.py", line 364, in save_outputs
    bplt.save(bplt.gridplot([s1], [s2], [s3], [s4]))
  File "/home/keto/.local/lib/python3.8/site-packages/bokeh/layouts.py", line 261, in gridplot
    if not hasattr(Location, toolbar_location):
TypeError: hasattr(): attribute name must be string
 skipping song survive_4_vocals
using silent backing track
Traceback (most recent call last):
  File "/home/keto/.local/lib/python3.8/site-packages/numpy/core/function_base.py", line 117, in linspace
    num = operator.index(num)
TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "rnn.py", line 804, in <module>
    program.autotune_iters(dataloader=program.realworld_dataset)
  File "rnn.py", line 628, in autotune_iters
    utils.synthesize_result(self.realworld_audio_output_directory, data_dict['perf_id'], data_dict['arr_id'],
  File "/home/keto/autotuner/utils.py", line 447, in synthesize_result
    temp_shifted = psola_shift_pitch(
  File "/home/keto/autotuner/psola.py", line 40, in psola_shift_pitch
    new_signal_list.append(psola(signal, peaks, f_ratio))
  File "/home/keto/autotuner/psola.py", line 109, in psola
    new_peaks_ref = np.linspace(0, len(peaks) - 1, len(peaks) * f_ratio)
  File "<__array_function__ internals>", line 5, in linspace
  File "/home/keto/.local/lib/python3.8/site-packages/numpy/core/function_base.py", line 119, in linspace
    raise TypeError(
TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

[niallmandal]

I just rounded that section to an integer and it seemed to work.

[niallmandal]

int(len(peaks) * f_ratio)

[keto33]

I confirm I could resolve the issue by modifying psola.py as you suggested. However, I encountered another error:

training list length 0 validation list 0
loading example backing track CQT
exception in save_outputs hasattr(): attribute name must be string: Traceback (most recent call last):
  File "/home/keto/autotuner/utils.py", line 364, in save_outputs
    bplt.save(bplt.gridplot([s1], [s2], [s3], [s4]))
  File "/home/keto/.local/lib/python3.8/site-packages/bokeh/layouts.py", line 261, in gridplot
    if not hasattr(Location, toolbar_location):
TypeError: hasattr(): attribute name must be string
 skipping song survive_4_vocals
using silent backing track

Of course, I could make the code work and get the output by skipping plotting.

[niallmandal]

I skipped that part to be honest. I assume it’s only the instrumental version of the song that it mixed with the vocals and returned. I edited the code to only return the raw edited vocals.

I don’t think it would be too hard to load the backing track separately and then just put the two on top of eachother.

[ruslanakhmetov1986]

I skipped that part to be honest. I assume it’s only the instrumental version of the song that it mixed with the vocals and returned. I edited the code to only return the raw edited vocals.

I don’t think it would be too hard to load the backing track separately and then just put the two on top of eachother.

Were you able to run your audio files? I could not prepare audio

[ruslanakhmetov1986]

I skipped that part to be honest. I assume it’s only the instrumental version of the song that it mixed with the vocals and returned. I edited the code to only return the raw edited vocals.

I don’t think it would be too hard to load the backing track separately and then just put the two on top of eachother.

Were you able to run your audio files? I could not prepare audio

[Daniel McKinnon]

The type error from utils.py is fixed by replacing:

•    bplt.save(bplt.gridplot([s1], [s2], [s3], [s4]))
  

with:

•    bplt.save(bplt.gridplot([[s1], [s2], [s3], [s4]]))
  

This error is caused by a 2.0+ version of bokeh.

[Jerchongkong]

This is a problem between versions of Numpy, until they update the code (I doubt they will) you should use an older version of numpy:

booksa == 0.6
numba == 0.48
numpy == 1.17.4.