ModuleNotFoundError: No module named 'ofa.imagenet_codebase'

[euminds]

I encounter an error again when searching. An error is reported when the configured ofa version is ofa 0.1.0-202012082159. Then try ofa 0.0.4-2012082155 but the same error still occurs.
Traceback (most recent call last):
File "msunas.py", line 8, in
from evaluator import OFAEvaluator, get_net_info
File "/data8T/nsganetv2-master/evaluator.py", line 8, in
from codebase.networks import NSGANetV2
File "/data8T/nsganetv2-master/codebase/networks/init.py", line 1, in
from ofa.imagenet_codebase.networks.proxyless_nets import ProxylessNASNets, proxyless_base, MobileNetV2
ModuleNotFoundError: No module named 'ofa.imagenet_codebase'

[euminds]

@mikelzc1990

[euminds]

I tried a lower version of OnceForALL, the above problem no longer appears, but a new error appears. Error: mkl-service + Intel(R) MKL: MKL_THREADING_LAYER=INTEL is incompatible with libgomp.so.1 library.
Try to import numpy first or set the threading layer accordingly. Set MKL_SERVICE_FORCE_INTEL to force it.
My current pytorch version is 1.6.0. It may be a problem with the pytorch version. I try to use pytorch 1.5.1.
In addition, another error occurred:
Traceback (most recent call last):
File "msunas.py", line 355, in
main(cfgs)
File "msunas.py", line 310, in main
engine.search()
File "msunas.py", line 79, in search
acc_predictor, a_top1_err_pred = self._fit_acc_predictor(archive)
File "msunas.py", line 180, in _fit_acc_predictor
acc_predictor = get_acc_predictor(self.predictor, inputs, targets)
File "/data8T/nsganetv2-master/acc_predictor/factory.py", line 6, in get_acc_predictor
acc_predictor.fit(inputs, targets)
File "/data8T/nsganetv2-master/acc_predictor/rbf.py", line 29, in fit
dim=train_data.shape[1], kernel=kernel(), tail=tail(train_data.shape[1]))
TypeError: init() missing 2 required positional arguments:'lb' and'ub'
@mikelzc1990

[Kirito-520]

I tried a lower version of OnceForALL, the above problem no longer appears, but a new error appears. Error: mkl-service + Intel(R) MKL: MKL_THREADING_LAYER=INTEL is incompatible with libgomp.so.1 library.
Try to import numpy first or set the threading layer accordingly. Set MKL_SERVICE_FORCE_INTEL to force it.
My current pytorch version is 1.6.0. It may be a problem with the pytorch version. I try to use pytorch 1.5.1.
In addition, another error occurred:
Traceback (most recent call last):
File "msunas.py", line 355, in
main(cfgs)
File "msunas.py", line 310, in main
engine.search()
File "msunas.py", line 79, in search
acc_predictor, a_top1_err_pred = self._fit_acc_predictor(archive)
File "msunas.py", line 180, in _fit_acc_predictor
acc_predictor = get_acc_predictor(self.predictor, inputs, targets)
File "/data8T/nsganetv2-master/acc_predictor/factory.py", line 6, in get_acc_predictor
acc_predictor.fit(inputs, targets)
File "/data8T/nsganetv2-master/acc_predictor/rbf.py", line 29, in fit
dim=train_data.shape[1], kernel=kernel(), tail=tail(train_data.shape[1]))
TypeError: init() missing 2 required positional arguments:'lb' and'ub'
@mikelzc1990

Hey, missing the lb and ub do you solve them?

[aswanthkrishna]

did you solve this?

[ngctnnnn]

Try this version:
pip install git+https://github.com/mit-han-lab/once-for-all@afdb78dea1ca0c12a7cb8f803ac7a576cac7ce18

[hjnwyt]

I encounter an error again when searching. An error is reported when the configured ofa version is ofa 0.1.0-202012082159. Then try ofa 0.0.4-2012082155 but the same error still occurs. Traceback (most recent call last): File "msunas.py", line 8, in from evaluator import OFAEvaluator, get_net_info File "/data8T/nsganetv2-master/evaluator.py", line 8, in from codebase.networks import NSGANetV2 File "/data8T/nsganetv2-master/codebase/networks/init.py", line 1, in from ofa.imagenet_codebase.networks.proxyless_nets import ProxylessNASNets, proxyless_base, MobileNetV2 ModuleNotFoundError: No module named 'ofa.imagenet_codebase'

I had a similar problem, maybe it's because the module you need is not in ofa.imagenet_codebase, I suggest you check the module location.