diff --git a/S1/12/.ipynb_checkpoints/tripletmarginloss_torch-checkpoint.py b/S1/12/.ipynb_checkpoints/tripletmarginloss_torch-checkpoint.py
deleted file mode 100644
index ef7d09a..0000000
--- a/S1/12/.ipynb_checkpoints/tripletmarginloss_torch-checkpoint.py
+++ /dev/null
@@ -1,41 +0,0 @@
-# example_torchcode.py
-
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-
-class Model(nn.Module):
-    """
-    一个计算Triplet Margin Loss的简单模型。
-    """
-    def __init__(self, margin: float = 1.0):
-        super(Model, self).__init__()
-        self.margin = margin
-        self.triplet_margin_loss = torch.nn.TripletMarginLoss(margin=self.margin, reduction='mean')
-
-    def forward(self, anchor: torch.Tensor, positive: torch.Tensor, negative: torch.Tensor) -> torch.Tensor:
-        """
-        计算三元组损失。
-        使用 reduction='none' 来为批次中的每个样本生成一个损失值，以便与CUDA内核进行比较。
-        """
-        return self.triplet_margin_loss(anchor, positive, negative)
-
-# 定义标准维度
-batch_size = 512
-dim = 4096
-margin = 1.0
-
-def get_inputs():
-    """
-    为anchor, positive, 和 negative生成三个随机张量。
-    """
-    anchor = torch.randn(batch_size, dim)
-    positive = torch.randn(batch_size, dim)
-    negative = torch.randn(batch_size, dim)
-    return [anchor, positive, negative]
-
-def get_init_inputs():
-    """
-    提供模型初始化所需的margin。
-    """
-    return [margin]
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