Call metric with args:
(tensor([ 5, 22, 4, 15, 25, 11, 5, 3, 30, 14, 11, 20, 8, 23, 12, 15]), tensor([[-4.2334e-01, 3.2128e-01, -1.6276e-01, -5.2903e-02, -4.4799e-01,
8.1375e-02, -8.1450e-01, -8.3723e-01, -1.5693e+00, 1.8602e-01,
9.6764e-02, -7.7650e-01, 8.9860e-01, -5.6379e-01, -1.9089e-01,
-7.3312e-01, -2.6684e-01, 1.9810e-01, -4.7601e-02, 1.1084e-01,
-3.5942e-01, -8.2719e-01, -2.6982e-01, -4.1683e-01, -6.0756e-02,
-6.5203e-01, 4.8693e-01, 4.0284e-02, -5.9342e-01, -6.3951e-01,
1.1935e-01],
[-2.0829e-01, 2.9670e-01, -1.5979e-01, -1.9088e-01, -6.3610e-01,
-1.1845e-01, -5.2010e-01, -8.1823e-01, -1.0798e+00, 1.4608e-01,
4.3075e-02, -8.3660e-01, 5.8538e-01, -5.8224e-01, -1.6127e-01,
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-4.0859e-01, 1.2671e-01, 3.2303e-02, -5.0047e-01, -6.9472e-01,
2.6332e-02],
[-4.5164e-01, 1.0030e-01, -4.5018e-01, -9.2652e-02, -4.8574e-01,
1.8752e-01, -5.9322e-01, -8.1456e-01, -1.4288e+00, 1.1793e-01,
5.3347e-02, -8.2513e-01, 6.7262e-01, -5.7353e-01, -1.9667e-01,
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-1.8060e-02],
[-7.6481e-01, -4.0101e-04, -3.2567e-01, -4.3850e-01, -8.2028e-01,
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[-3.5791e-01, 3.5727e-02, -2.6489e-01, -3.0950e-02, -2.8023e-01,
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9.7626e-02],
[-2.3366e-01, 9.6609e-02, -1.1173e-01, -7.6165e-02, -4.5224e-01,
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-4.8800e-01, 1.8026e-01, 5.5238e-03, -4.6877e-01, -7.9068e-01,
3.4459e-01],
[-4.3803e-01, -8.9626e-02, -1.6414e-01, -3.3728e-01, -7.3173e-01,
1.8028e-01, -8.8425e-01, -9.1455e-01, -1.4416e+00, 1.1838e-01,
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[-3.7862e-01, 1.0303e-01, -1.3942e-01, -7.3819e-02, -6.1260e-01,
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1.2845e-01, -8.5608e-01, 7.1500e-01, -6.3164e-01, -2.9660e-01,
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-1.0896e-01],
[-2.7988e-01, 2.2090e-01, -3.7169e-02, -3.0769e-01, -5.9117e-01,
1.4772e-01, -8.5652e-01, -8.5170e-01, -1.5827e+00, 2.0144e-01,
2.2082e-02, -8.4365e-01, 1.0827e+00, -6.9410e-01, -6.8745e-01,
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-6.6554e-02, -9.0053e-01, -2.5255e-01, -3.4276e-01, -2.4984e-01,
-1.0166e+00, 6.0744e-01, 2.9452e-02, -6.8286e-01, -1.0930e+00,
1.8820e-01],
[-7.2289e-01, 6.5829e-02, -2.5874e-01, -1.2124e-01, -4.2901e-01,
4.3952e-02, -9.0203e-01, -6.3939e-01, -1.6698e+00, 5.2024e-02,
1.9740e-01, -8.3556e-01, 1.1886e+00, -5.5185e-01, -3.0437e-01,
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-1.5797e-01],
[-4.1377e-01, 1.7438e-01, -5.5405e-02, -2.7336e-01, -5.0366e-01,
2.1609e-01, -5.5138e-01, -7.6795e-01, -1.2920e+00, 2.1778e-01,
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1.8993e-02],
[-2.7876e-01, 3.6727e-02, -2.2710e-01, -8.0344e-02, -2.6371e-01,
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-2.6691e-01, 1.8850e-01, -7.8911e-02, -3.4073e-01, -5.4825e-01,
1.2803e-01],
[-3.7803e-01, 1.4453e-02, -2.5635e-01, -7.4367e-02, -6.4179e-01,
-1.7266e-01, -1.0710e+00, -7.4324e-01, -1.6834e+00, -3.6002e-02,
1.4780e-01, -1.0021e+00, 1.1677e+00, -7.4163e-01, -1.1192e-01,
-7.3385e-01, -2.2223e-01, -1.8710e-01, 2.9915e-02, 3.3439e-01,
-4.6200e-01, -7.5395e-01, -1.9572e-01, 1.3413e-01, 6.0762e-02,
-8.3109e-01, 1.2702e-01, -1.2926e-02, -4.4783e-01, -9.0948e-01,
-6.6723e-02],
[-6.4955e-01, -2.5407e-01, -2.0360e-01, -3.5873e-01, -6.9094e-01,
2.0167e-01, -9.4770e-01, -9.5162e-01, -2.0917e+00, 1.1412e-01,
2.2403e-01, -1.1150e+00, 1.3356e+00, -5.3853e-01, -5.8843e-01,
-9.8410e-01, -7.1797e-01, 3.6223e-01, -3.5720e-01, -1.9642e-01,
-5.0072e-01, -1.1756e+00, -3.0184e-01, -3.7104e-01, -3.3182e-01,
-1.5207e+00, 4.6467e-01, -1.8616e-01, -2.6982e-01, -1.1789e+00,
-1.5017e-01]], grad_fn=<AddmmBackward>))
{}
Traceback (most recent call last):
File "/home/arqwer/0Links/2019-2020/domain_adaptation/DomainAdaptation/example.py", line 37, in <module>
tr.fit(train_gen_s, train_gen_t,
File "/home/arqwer/study/2019-2020/domain_adaptation/DomainAdaptation/trainer.py", line 50, in fit
src_metrics = self.score(src_val_data, metrics)
File "/home/arqwer/study/2019-2020/domain_adaptation/DomainAdaptation/trainer.py", line 61, in score
metric(true_classes, pred_classes)
File "/home/arqwer/0Links/2019-2020/domain_adaptation/DomainAdaptation/example.py", line 31, in __call__
print("metric: ", self.metric(*args, **kwargs))
File "/home/arqwer/study/2019-2020/domain_adaptation/DomainAdaptation/metrics/accuracy.py", line 23, in __call__
self._correct += (y_true == y_predict).sum().item()
File "/home/arqwer/.local/lib/python3.8/site-packages/torch/tensor.py", line 28, in wrapped
return f(*args, **kwargs)
RuntimeError: The size of tensor a (16) must match the size of tensor b (31) at non-singleton dimension 1
Process finished with exit code 1
Either AccuracyScore should be changed to receive (labels, logits), or Trainer should convert logits to predicted labels. Since we want Trainer to be as general as possible, then we should go with first option, and change AccuracyScore interface.
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