self.input_A.resize_(input_A.size()).copy_(input_A)
时间: 2024-05-24 16:10:45 浏览: 52
This line of code resizes the tensor `input_A` to the same size it already has and then makes a copy of it.
The purpose of resizing a tensor to the same size is not clear, but making a copy of the tensor is done so that any changes made to `input_A` after this line of code will not affect the copied tensor.
This is useful when you want to perform operations on a tensor but also keep a copy of the original tensor for future use.
相关问题
self.global_step和self.batch_resize_range有何关联,举例
self.global_step和self.batch_resize_range之间的关联是通过训练步数来实现的,具体来说:
在这段代码中,self.global_step是一个计数器,用于记录当前训练的步数。当训练步数小于等于4时,为了避免内存不足的问题,需要先使用最大的大小进行训练,以便后续可以逐渐降低大小。因此,当self.global_step小于等于4时,将调整大小设为上限,即使用最大的大小进行训练。而当self.global_step大于4时,就可以开始使用较小的大小进行训练,此时从batch_resize_range中随机选取一个新的大小进行调整。
例如,假设batch_resize_range的取值为(256, 512),表示输入数据的大小可以调整到256到512之间的任意值。在训练开始时,self.global_step的值为1,此时需要使用最大的大小512进行训练,因为此时可能内存空间较为充足。在第5步训练完成后,self.global_step的值变为5,此时可以开始使用较小的大小进行训练,例如从batch_resize_range中随机选取一个新的大小,例如320或384等。这样做可以使得输入数据的大小逐渐趋于批次数据的大小,从而提高神经网络的训练效果。
class LoginFrame(tk.Frame): def __init__(self, master=None): super().__init__(master) self.master = master self.master.title('登录系统') self.master.geometry('300x200') # 读取图片并创建 Label 组件 image = Image.open('C:/Users/hp/Desktop/orginalmodel/orginalmodel/pic1.jpg') image = image.resize((70,70)) photo = ImageTk.PhotoImage(image) self.image_label = tk.Label(self.master, image=photo) self.image_label.image = photo # 防止图片被垃圾回收器回收 self.image_label.pack() self.username_frame = tk.Frame(self.master) self.username_frame.pack() self.username_label = tk.Label(self.username_frame, text='用户名 ') self.username_label.pack(side=tk.LEFT) self.username_entry = tk.Entry(self.username_frame) self.username_entry.pack(side=tk.LEFT) self.password_frame = tk.Frame(self.master) self.password_frame.pack() self.password_label = tk.Label(self.password_frame, text=' 密码 ') self.password_label.pack(side=tk.LEFT) self.password_entry = tk.Entry(self.password_frame, show='*') self.password_entry.pack(side=tk.LEFT) self.login_button = tk.Button(self.master, text='登录', command=self.login) self.login_button.pack() def login(self): username = self.username_entry.get() password = self.password_entry.get() if username == 'AAA' and password == '111': self.master.destroy() root = tk.Tk() app = MainFrame(root) app.mainloop() else: tk.messagebox.showerror('错误', '用户名或密码错误!')修改代码,使pic1.jpg放在界面最底层
class LoginFrame(tk.Frame):
def __init__(self, master=None):
super().__init__(master)
self.master = master
self.master.title('登录系统')
self.master.geometry('300x200')
self.username_frame = tk.Frame(self.master)
self.username_frame.pack()
self.username_label = tk.Label(self.username_frame, text='用户名 ')
self.username_label.pack(side=tk.LEFT)
self.username_entry = tk.Entry(self.username_frame)
self.username_entry.pack(side=tk.LEFT)
self.password_frame = tk.Frame(self.master)
self.password_frame.pack()
self.password_label = tk.Label(self.password_frame, text=' 密码 ')
self.password_label.pack(side=tk.LEFT)
self.password_entry = tk.Entry(self.password_frame, show='*')
self.password_entry.pack(side=tk.LEFT)
self.login_button = tk.Button(self.master, text='登录', command=self.login)
self.login_button.pack()
# 读取图片并创建 Label 组件
image = Image.open('C:/Users/hp/Desktop/orginalmodel/orginalmodel/pic1.jpg')
image = image.resize((70,70))
photo = ImageTk.PhotoImage(image)
self.image_label = tk.Label(self.master, image=photo)
self.image_label.image = photo # 防止图片被垃圾回收器回收
self.image_label.pack(side=tk.BOTTOM) # 放在最底层
def login(self):
username = self.username_entry.get()
password = self.password_entry.get()
if username == 'AAA' and password == '111':
self.master.destroy()
root = tk.Tk()
app = MainFrame(root)
app.mainloop()
else:
tk.messagebox.showerror('错误', '用户名或密码错误!')
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