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)

[raminrasoulinezhad]

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))