Comments (1)
你好,请问你的问题解决了吗,我测试的时候也是一直卡住,`-- load dataset ---
Dataset for training A: 334, B: 278 images
API landmarks loaded successfully!
creating dataset_test
Using random sampled points for test_forward
Dataset for testing initialized, including 300 data points
API landmarks loaded successfully!
--- load model ---
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
`
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Related Issues (16)
- Profile faces? HOT 1
- RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [128]] is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True). HOT 3
- How to get blending images
- 请问数据集是如何搜集的? HOT 1
- pre-trained models下载不了 HOT 1
- A problem about:"RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation" HOT 1
- How did you train the svm model for classification of facial attributes? HOT 1
- RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [128]] is at version 2; expected version 1 instead.
- How to create synthetic ground truth images HOT 7
- 测试效果 HOT 1
- 关于fake_AA_encoded和fake_A_random HOT 1
- Test problem HOT 1
- Training Problem HOT 2
- landmark_file HOT 1
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