20 lines
487 B
Python
20 lines
487 B
Python
import torch
|
|
from train_mm_moco import MultiModalMoCo
|
|
|
|
|
|
|
|
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
|
|
|
|
# Initialize model
|
|
nn_model = 'resnet18'
|
|
model = MultiModalMoCo(m=0.99, T=0.07, nn_model=nn_model).to(device)
|
|
|
|
|
|
# Load weights
|
|
saved_state = torch.load('/media/vedant/cpsDataStorageWK/Vedant/Tactile/TAG/models/model_tag_material_best.pth')
|
|
|
|
epoch = saved_state['epoch']
|
|
best_acc1 = saved_state['best_acc1']
|
|
args = saved_state['opt']
|
|
|
|
print(epoch, best_acc1) |