psandovalsegura / autoregressive-poisoning Goto Github PK

Hello, what is "num_samples"? Why is the default value 1000000?

Hi, sir, when I ran this command “python autoregressive_param_finder.py --total=10 --required_nm_response=10 --gen_norm_upper_bound=50”, an error occurred. As follows:

Traceback (most recent call last):
File "autoregressive_param_finder.py", line 83, in
main() , einops [0/1168]
File "autoregressive_param_finder.py", line 38, in main
gen, gen_norm = ar_p.generate(eps=1.0, p=2, size=(36,36), crop=4)
File "/ar/autoregressive.py", line 44, in generate
val = torch.nn.functional.conv2d(start_signal[:,i:i+kernel_size,j:j+kernel_size], ar_coeff, groups=self.num_channels)
RuntimeError: Expected 4-dimensional input for 4-dimensional weight [3, 1, 3, 3], but got 3-dimensional input of size [3, 3, 3] instead

How can I resolve it?