if self.padding_same_and_time_dim_unknown:
时间: 2023-09-16 08:11:41 浏览: 51
这同样是一个条件语句,用于判断输入序列的时间维度是否已知,并且是否需要进行 padding 操作使得序列长度相同。如果条件为True,则表示输入序列的时间维度未知,并且需要进行 padding 操作,使得所有序列的时间维度相同。如果条件为False,则表示输入序列的时间维度已知,不需要进行 padding 操作。
相关问题
def input(self): keys = pygame.key.get_pressed() if self.can_move: if keys[pygame.K_RIGHT] and self.selection_index < self.attribute_nr - 1: self.selection_index += 1 self.can_move = False self.selection_time = pygame.time.get_ticks() elif keys[pygame.K_LEFT] and self.selection_index >= 1: self.selection_index -= 1 self.can_move = False self.selection_time = pygame.time.get_ticks() if keys[pygame.K_SPACE]: self.can_move = False self.selection_time = pygame.time.get_ticks() self.item_list[self.selection_index].trigger(self.player)
```
def input(self):
"""
处理用户输入
"""
keys = pygame.key.get_pressed()
if self.can_move:
# 如果允许移动
if keys[pygame.K_RIGHT] and self.selection_index < self.attribute_nr - 1:
# 如果按下右键并且当前选择索引小于属性数量减一
self.selection_index += 1
self.can_move = False
self.selection_time = pygame.time.get_ticks()
elif keys[pygame.K_LEFT] and self.selection_index >= 1:
# 如果按下左键并且当前选择索引大于等于1
self.selection_index -= 1
self.can_move = False
self.selection_time = pygame.time.get_ticks()
if keys[pygame.K_SPACE]:
# 如果按下空格键
self.can_move = False
self.selection_time = pygame.time.get_ticks()
# 触发当前选择的UI元素
self.item_list[self.selection_index].trigger(self.player)
```
这段代码是一个处理用户输入的函数。在该函数中,首先获取用户按键情况,并判断是否允许移动。如果允许移动,且用户按下了右键,并且当前选择的属性索引小于属性数量减一,则将选择的属性索引加一,并设置移动标志和选择时间。如果用户按下了左键,并且当前选择的属性索引大于等于1,则将选择的属性索引减一,并设置移动标志和选择时间。如果用户按下了空格键,则将移动标志设置为False,并触发当前选择的UI元素,即调用当前item_list列表中索引为选择的属性索引的元素的trigger()方法,并向其传递玩家对象作为参数。注释解释了该函数的功能和各个变量的含义。
class Partial_conv3(nn.Module): def __init__(self, dim, n_div, forward): super().__init__() self.dim_conv3 = dim // n_div self.dim_untouched = dim - self.dim_conv3 self.partial_conv3 = nn.Conv2d(self.dim_conv3, self.dim_conv3, 3, 1, 1, bias=False) if forward == 'slicing': self.forward = self.forward_slicing elif forward == 'split_cat': self.forward = self.forward_split_cat else: raise NotImplementedError def forward_slicing(self, x: Tensor) -> Tensor: # only for inference x = x.clone() # !!! Keep the original input intact for the residual connection later x[:, :self.dim_conv3, :, :] = self.partial_conv3(x[:, :self.dim_conv3, :, :]) return x def forward_split_cat(self, x: Tensor) -> Tensor: x1, x2 = torch.split(x, [self.dim_conv3, self.dim_untouched], dim=1) x1 = self.partial_conv3(x1) x = torch.cat((x1, x2), 1) return x 在这段代码中插入全局平均池化做通道增强的模块
可以将全局平均池化放在每个 forward 函数的最后,对每个 channel 进行平均池化操作,然后将结果与未被改变的 channel 拼接起来,得到增强后的输出。修改后的代码如下:
```
class Partial_conv3(nn.Module):
def __init__(self, dim, n_div, forward):
super().__init__()
self.dim_conv3 = dim // n_div
self.dim_untouched = dim - self.dim_conv3
self.partial_conv3 = nn.Conv2d(self.dim_conv3, self.dim_conv3, 3, 1, 1, bias=False)
self.global_avg_pool = nn.AdaptiveAvgPool2d((1, 1)) # 添加全局平均池化层
if forward == 'slicing':
self.forward = self.forward_slicing
elif forward == 'split_cat':
self.forward = self.forward_split_cat
else:
raise NotImplementedError
def forward_slicing(self, x: Tensor) -> Tensor:
# only for inference
x = x.clone() # !!! Keep the original input intact for the residual connection later
x[:, :self.dim_conv3, :, :] = self.partial_conv3(x[:, :self.dim_conv3, :, :])
x[:, :self.dim_conv3, :, :] = self.global_avg_pool(x[:, :self.dim_conv3, :, :]) # 添加全局平均池化
x = torch.cat((x, x[:, self.dim_conv3:, :, :]), 1)
return x
def forward_split_cat(self, x: Tensor) -> Tensor:
x1, x2 = torch.split(x, [self.dim_conv3, self.dim_untouched], dim=1)
x1 = self.partial_conv3(x1)
x1 = self.global_avg_pool(x1) # 添加全局平均池化
x = torch.cat((x1, x2), 1)
return x
```
相关推荐
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)