Euphoria16 / Shapley-NAS

[CVPR 2022] Implementation of "Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search"
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Error resolving test.py #5

Open Dev-HJYoo opened 2 years ago

Dev-HJYoo commented 2 years ago

Hello,

Some errors occurred while running test.py. I changed the code to solve the error, and it runs well, leaving a message.

I've confirmed that this code change has no effect on train.py and search.py.

The error I encountered is:

  1. utils.py 120 line

    hjyoo@neuro:~/PycharmProjects/Shapley-NAS$ python test.py --model_path 'eval-train_cifar10-20221115-131311/res18_best.pth.tar' --arch 'shapley_nas' --data '/home/hjyoo/Datasets/cifar-10-batches-py/' --cutout --auxiliary
    11/16 03:10:11 PM gpu device = 0
    11/16 03:10:11 PM args = Namespace(data='/home/hjyoo/Datasets/cifar-10-batches-py/', batch_size=96, report_freq=50, gpu=0, init_channels=36, layers=20, model_path='eval-train_cifar10-20221115-131311/res18_best.pth.tar', auxiliary=True, cutout=True, cutout_length=16, drop_path_prob=0.2, seed=0, arch='shapley_nas')
    108 108 36
    108 144 36
    144 144 36
    144 144 36
    144 144 36
    144 144 36
    144 144 72
    144 288 72
    288 288 72
    288 288 72
    288 288 72
    288 288 72
    288 288 72
    288 288 144
    288 576 144
    576 576 144
    576 576 144
    576 576 144
    576 576 144
    576 576 144
    dict_keys(['epoch', 'state_dict', 'best_acc', 'optimizer'])
    Traceback (most recent call last):
    File "/home/hjyoo/PycharmProjects/Shapley-NAS/test.py", line 102, in <module>
    main() 
    File "/home/hjyoo/PycharmProjects/Shapley-NAS/test.py", line 58, in main
    utils.load(model, args.model_path)
    File "/home/hjyoo/PycharmProjects/Shapley-NAS/utils.py", line 103, in load
    model.load_state_dict(torch.load(model_path))
    File "/home/hjyoo/anaconda3/envs/Shapley-NAS/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1667, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
    RuntimeError: Error(s) in loading state_dict for NetworkCIFAR:
        Missing key(s) in state_dict: "stem.0.weight", "stem.1.weight", "stem.1.bias", "stem.1.running_mean", "stem.1.running_var", "cells.0.preprocess0.op.1.weight", "cells.0.preprocess0.op.2.weight", "cells.0.preprocess0.op.2.bias", "cells.0.preprocess0.op.2.running_mean", "cells.0.preprocess0.op.2.running_var", "cells.0.preprocess1.op.1.weight", "cells.0.preprocess1.op.2.weight", "cells.0.preprocess1.op.2.bias", "cells.0.preprocess1.op.2.running_mean", "cells.0.preprocess1.op.2.running_var", "cells.0._ops.0.op.1.weight", "cells.0._ops.0.op.2.weight", "cells.0._ops.0.op.3.weight", "cells.0._ops.0.op.3.bias", "cells.0._ops.0.op.3.running_mean", "cells.0._ops.0.op.3.running_var", "cells.0._ops.0.op.5.weight", "cells.0._ops.0.op.6.weight", "cells.0._ops.0.op.7.weight", "cells.0._ops.0.op.7.bias", "cells.0._ops.0.op.7.running_mean", "cells.0._ops.0.op.7.running_var", "cells.0._ops.1.op.1.weight", "cells.0._ops.1.op.2.weight", "cells.0._ops.1.op.3.weight", "cells.0._ops.1.op.3.bias", 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"auxiliary_head.classifier.bias", "classifier.weight", "classifier.bias". 
        Unexpected key(s) in state_dict: "epoch", "state_dict", "best_acc", "optimizer". 
  2. test.py 84 lines

    hjyoo@neuro:~/PycharmProjects/Shapley-NAS$ python test.py --model_path 'eval-train_cifar10-20221115-131311/res18_best.pth.tar' --arch 'shapley_nas' --data '/home/hjyoo/Datasets/cifar-10-batches-py/' --cutout --auxiliary
    File "/home/hjyoo/PycharmProjects/Shapley-NAS/test.py", line 84
    target = Variable(target, volatile=True).cuda(async=True)
                                                  ^
    SyntaxError: invalid syntax
  3. test.py 91~93 lines

hjyoo@neuro:~/PycharmProjects/Shapley-NAS$ python test.py --model_path 'eval-train_cifar10-20221115-131311/res18_best.pth.tar' --arch 'shapley_nas' --data '/home/hjyoo/Datasets/cifar-10-batches-py/' --cutout --auxiliary 
11/16 03:31:16 PM gpu device = 0
11/16 03:31:16 PM args = Namespace(data='/home/hjyoo/Datasets/cifar-10-batches-py/', batch_size=96, report_freq=50, gpu=0, init_channels=36, layers=20, model_path='eval-train_cifar10-20221115-131311/res18_best.pth.tar', auxiliary=True, cutout=True, cutout_length=16, drop_path_prob=0.2, seed=0, arch='shapley_nas')
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11/16 03:31:25 PM param size = 3.603358MB
Files already downloaded and verified
/home/hjyoo/PycharmProjects/Shapley-NAS/test.py:83: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.
  input = Variable(input, volatile=True).cuda()
/home/hjyoo/PycharmProjects/Shapley-NAS/test.py:84: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.
  target = Variable(target, volatile=True).cuda(non_blocking=True)
Traceback (most recent call last):
  File "/home/hjyoo/PycharmProjects/Shapley-NAS/test.py", line 102, in <module>
    main() 
  File "/home/hjyoo/PycharmProjects/Shapley-NAS/test.py", line 72, in main
    test_acc, test_obj = infer(test_queue, model, criterion)
  File "/home/hjyoo/PycharmProjects/Shapley-NAS/test.py", line 91, in infer
    objs.update(loss.data[0], n)
IndexError: invalid index of a 0-dim tensor. Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a number
  1. Results
hjyoo@neuro:~/PycharmProjects/Shapley-NAS$ python test.py --model_path 'eval-train_cifar10-20221115-131311/res18_best.pth.tar' --arch 'shapley_nas' --data '/home/hjyoo/Datasets/cifar-10-batches-py/' --cutout --auxiliary
11/16 03:32:23 PM gpu device = 0
11/16 03:32:23 PM args = Namespace(data='/home/hjyoo/Datasets/cifar-10-batches-py/', batch_size=96, report_freq=50, gpu=0, init_channels=36, layers=20, model_path='eval-train_cifar10-20221115-131311/res18_best.pth.tar', auxiliary=True, cutout=True, cutout_length=16, drop_path_prob=0.2, seed=0, arch='shapley_nas')
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11/16 03:32:31 PM param size = 3.603358MB
Files already downloaded and verified
/home/hjyoo/PycharmProjects/Shapley-NAS/test.py:83: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.
  input = Variable(input, volatile=True).cuda()
/home/hjyoo/PycharmProjects/Shapley-NAS/test.py:84: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead.
  target = Variable(target, volatile=True).cuda(non_blocking=True)
11/16 03:32:44 PM test 000 2.667051e-02 98.958336 100.000000
11/16 03:32:48 PM test 050 1.235316e-01 96.854576 99.938728
11/16 03:32:51 PM test 100 1.133232e-01 96.967827 99.958748
11/16 03:32:51 PM test_acc 96.970001

Thank you.