`Traceback (most recent call last):


 "train.py", line 98, in <module>

train()


 "train.py", line 47, in train

mixed_wav, src1_wav, src2_wav, _ = data.next_wavs(TrainConfig.SECONDS, TrainConfig.NUM_WAVFILE)


 "/content/music-source-separation/data.py", line 22, in next_wavs

wavfiles = random.sample(wavfiles, size)


 "/usr/lib/python3.6/random.py", line 320, in sample

raise ValueError("Sample larger than population or is negative")
ValueError: Sample larger than population or is negative`
Traceback (most recent call last):


 "theano_vs_tf.py", line 29, in <module>

features_conv1_1 = f([img])


 "C:\Users\remib\Miniconda3\envs\tensorflow_py35\lib\site-packages\keras\backend\tensorflow_backend.py", line 2270, in __call__

**self.session_kwargs)


 "C:\Users\remib\Miniconda3\envs\tensorflow_py35\lib\site-packages\tensorflow\python\client\session.py", line 895, in run

run_metadata_ptr)


 "C:\Users\remib\Miniconda3\envs\tensorflow_py35\lib\site-packages\tensorflow\python\client\session.py", line 1100, in _run

% (np_val.shape, subfeed_t.name, str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (1, 3, 32, 32) for Tensor 'zero_padding2d_1_input:0', which has shape '(?, 3, 32, 64)'
