actions_batch = torch.stack(actions_batch, 1) value_preds_batch = torch.stack(value_preds_batch, 1) return_batch = torch.stack(return_batch, 1) masks_batch = torch.stack(masks_batch, 1) old_action_log_probs_batch = torch.stack( old_action_log_probs_batch, 1) adv_targ = torch.st...
import torch.nn as nn class MLP(nn.Module): def __init__( self, input_size: int, output_size: int, hidden_size: List[int], activate_func: Optional[str] = 'relu', normalize_output: Optional[bool] = False, print_info: Optional[bool] = False, name: Optional[str] = 'MLP', ) ...
If you would also like to extract your own image features, installTorch,torch-hdf5,torch/image/,torch/loadcaffe/, and optionallytorch/cutorch/,torch/cudnn/, andtorch/cunn/for GPU acceleration. Alternatively, you could directly use the precomputed features provided below. ...
loss_fn=torch.nn.CrossEntropyLoss()) model.plot()同样是对激活函数进行学习，并可视化lib = ['x'...
import torch import torch.nn as nn class MlpPolicy(nn.Module): def __init__(self, input_dim, output_dim): super(MlpPolicy, self).__init__() self.fc = nn.Linear(input_dim, 64) self.fc_action = nn.Linear(64, output_dim) def forward(self, x): x = torch.relu(self.fc(x))...
PPO(Proximal Policy Optimization)算法是 OpenAI 在 RLHF 阶段采用的算法。PPO 算法中涉及到多个模型的协同训练和推理,设计和实现一套高效、准确的 RLHF 训练系统是多模态模型研究领域的关键挑战之一。 在2024 年的 QCon 上海站上,小红书资深技术专家、RLHF 自研框架负责人于子淇发表了题为《基于 PPO 的多模态大模...
PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning - batra-mlp-lab/visdial-rl
Method 1: In modeling_llama.py line 1095, changecausal_mask = torch.triu(causal_mask, diagonal=1)to: causal_mask = causal_mask.to(torch.float32)# causal_mask = torch.triu(causal_mask, diagonal=1) causal_mask = causal_mask.to('cuda', dtype=torch.bfloat16)# ...
If you would also like to extract your own image features, installTorch,torch-hdf5,torch/image/,torch/loadcaffe/, and optionallytorch/cutorch/,torch/cudnn/, andtorch/cunn/for GPU acceleration. Alternatively, you could directly use the precomputed features provided below. ...