↓ 1 callersMethod_projection(self, p, grad, perturb, delta, wd_ratio, eps)
PreTrain_MedKLIP/optim/adamp.py:39
↓ 1 callersMethod_projection(self, p, grad, perturb, delta, wd_ratio, eps)
PreTrain_MedKLIP/optim/sgdp.py:39
↓ 1 callersMethod_projection(self, p, grad, perturb, delta, wd_ratio, eps)
Sample_Finetuning_SIIMACR/I1_classification/optim/adamp.py:39
↓ 1 callersMethod_projection(self, p, grad, perturb, delta, wd_ratio, eps)
Sample_Finetuning_SIIMACR/I1_classification/optim/sgdp.py:39
↓ 1 callersMethod_projection(self, p, grad, perturb, delta, wd_ratio, eps)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/adamp.py:39
↓ 1 callersMethod_projection(self, p, grad, perturb, delta, wd_ratio, eps)
Sample_Finetuning_SIIMACR/I2_segmentation/optim/sgdp.py:39
↓ 1 callersFunctionanatomy_to_landmark Args: x: input anatomy, e.g., 'lobe|left|lower' a: base anatomy set, e.g., ['hilar', 'hilum', 'perihilar'] m1: level 1 mo
PreTrain_MedKLIP/data_file/preprocessing/adj_matrix.py:185
↓ 1 callersMethodimage_encoder 16 torch.Size([16, 1024, 14, 14]) torch.Size([16, 196, 1024]) torch.Size([3136, 1024]) torch.Size([16, 196, 256])
PreTrain_MedKLIP/models/model_MedKLIP.py:119
↓ 1 callersMethodimage_encoder 16 torch.Size([16, 1024, 14, 14]) torch.Size([16, 196, 1024]) torch.Size([3136, 1024]) torch.Size([16, 196, 256])
Sample_Zero-Shot_Grounding_RSNA/models/model_MedKLIP.py:97
↓ 1 callersMethodimage_encoder 16 torch.Size([16, 1024, 14, 14]) torch.Size([16, 196, 1024]) torch.Size([3136, 1024]) torch.Size([16, 196, 256])
Sample_zero-shot_Classification_CXR14/models/model_MedKLIP.py:91