def __init__(self, path, patches, rows, cols, transforms, begin, end):
Process.__init__(self, name='SplitWorker')
self.path = path
self.patches = patches
self.rows = rows
self.cols = cols
self.transforms = transforms
self.begin = begin
self.end = end
#self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
self.device = torch.device('cpu')
self.extractor = models.resnet18(pretrained=True).to(self.device)
self.extractor.fc = nn.Sequential()
self.extractor.eval()
def __init__(self, threadID, name, counter, env, experience_buffer,
num_rollouts, initial_action, policy, features, device,
downsample_image_size):
Process.__init__(self)
self.threadID = threadID
self.name = name
self.counter = counter
self.env = env
self.num_rollouts = num_rollouts
self.buffer = []
self.experience_buffer = experience_buffer
self.downsample_image_size = downsample_image_size
self.default_action = initial_action
self.policy = policy.eval()
self.features = features
self.device = device
