ezjong
commented
4 years ago Interesting, I will have a look at this on the weekend. I don't think this should be a big issue (I hope^)
Open jaypatravali opened 4 years ago
ezjong
commented
4 years ago Interesting, I will have a look at this on the weekend. I don't think this should be a big issue (I hope^)
jaypatravali
commented
4 years ago Yeah, please let us know. We are looking to add your model in our method comparison
Hi i am still early to the codebase but just want to get things running quickly. if I run bash train_flyingchairs_flownetadf.sh I get the following error. main() File "../main.py", line 73, in main model_and_loss = config.configure_model_and_loss(args) File "/home/jay/bayesian/lightprobnets/configuration.py", line 118, in configure_model_and_loss model = typeinf.instance_from_kwargs(args.model_class, kwargs) File "/home/jay/bayesian/lightprobnets/utils/type_inference.py", line 35, in instance_from_kwargs instance = class_constructor(**filtered_args) File "/home/jay/bayesian/lightprobnets/models/flownet_adf.py", line 138, in init self._flownetadf = _FlowNetADF(args, keep_variance_fn=self._keep_variance_fn) File "/home/jay/bayesian/lightprobnets/models/flownet_adf.py", line 56, in init self._conv1 = make_conv( 6, 64, kernel_size=7, stride=2) File "/home/jay/bayesian/lightprobnets/models/flownet_adf.py", line 54, in make_conv keep_variance_fn=keep_variance_fn) File "/home/jay/bayesian/lightprobnets/models/flownet_adf.py", line 22, in conv stride=stride, padding=pad, bias=bias, keep_variance_fn=keep_variance_fn), File "/home/jay/bayesian/lightprobnets/contrib/adf.py", line 152, in init False, _pair(0), groups, bias) TypeError: init() takes exactly 12 arguments (11 given)