You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 1 dimension(s) and the array at index 1 has 2 dimension(s)
#1
Thanks for the great code that you shared with us. I just want to report an issue with its solution to help any user of this code in future. By running the "autoencoder/model/model.py" you will face this problem which is the result of some updates in Numpy library (I guess).
File "model.py", line 126, in
i_n, q_n, _, _ = noise_chirp(0.5, amp, 0.05, fs, N, 0.25, 0.5)
File "/home/ramin/BFASIC/autoencoder/model/noise.py", line 56, in noise_chirp
freq = np.concatenate((freq_start, freq))
File "<array_function internals>", line 6, in concatenate
ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 1 dimension(s) and the array at index 1 has 2 dimension(s)
The solution:
in the "noise_chirp" function in "noise.py" before concatanations (before line number 56) you should add:
freq = freq.reshape((-1))
The text was updated successfully, but these errors were encountered:
Hi Duncan,
Thanks for the great code that you shared with us. I just want to report an issue with its solution to help any user of this code in future. By running the "autoencoder/model/model.py" you will face this problem which is the result of some updates in Numpy library (I guess).
File "model.py", line 126, in
i_n, q_n, _, _ = noise_chirp(0.5, amp, 0.05, fs, N, 0.25, 0.5)
File "/home/ramin/BFASIC/autoencoder/model/noise.py", line 56, in noise_chirp
freq = np.concatenate((freq_start, freq))
File "<array_function internals>", line 6, in concatenate
ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 1 dimension(s) and the array at index 1 has 2 dimension(s)
The solution:
in the "noise_chirp" function in "noise.py" before concatanations (before line number 56) you should add:
freq = freq.reshape((-1))
The text was updated successfully, but these errors were encountered: