freeze

问题 I'm having a problem where trying to do a git push hangs up while "Writing objects". This is not the common scenario of Windows and git-daemon that I have seen answered elsewhere. This is Linux to Linux, using ssh. On both the client and server, git version is 1.7.8.6. I've tried doing the following: Create a local empty repo and push to that -- works fine Pull from local repo to local repo -- works fine Clone the remote repo to the local machine -- works fine git fsck and git gc on both

问题 I'm trying to figure out which files in Python's (Python 2.6/Python 2.7) tcl folder are required in order to distribute frozen Python Tkinter apps using Py2exe or similar. The quick and dirty way to do this (using pyexe as an example) is to follow the 2nd example on the following page and then xcopy your python's tcl folder to your dist folder (as a tcl sub-folder). http://www.py2exe.org/index.cgi/TixSetup The problem with the xcopy tcl technique is that it copies 100's of extra files that

问题 TL;DR: Did GetWindowText win32 api change behavior on windows 10? I have some code that loops through all windows on the desktop to find a window where the title contains some text. When this code hits a window named "" with class "URL Moniker Notification Window" it hangs on GetWindowText. GetWindowText is trying to send a message, my guess is WM_GETTEXT. This window is part of the exe "SearchUI.exe", the process is suspended and can't process messages. When reading: https://blogs.msdn

问题 TL;DR: Did GetWindowText win32 api change behavior on windows 10? I have some code that loops through all windows on the desktop to find a window where the title contains some text. When this code hits a window named "" with class "URL Moniker Notification Window" it hangs on GetWindowText. GetWindowText is trying to send a message, my guess is WM_GETTEXT. This window is part of the exe "SearchUI.exe", the process is suspended and can't process messages. When reading: https://blogs.msdn

问题 I searched all day but haven't find a solution yet. Today I installed Android Studio without any problems. I added the correct path. JAVA_HOME to C:\Program Files\Java\jdk1.8.0_20 and JDK_HOME to C:\Program Files\Java\jdk1.8.0_20 But, when I start the program it freezes on the loading screen. (The gray picture with the green android logo and text Android Studio) It does create a process that I can't close, but after waiting for 20 minutes it's still on that screen. I tried a clean install,

问题 I searched all day but haven't find a solution yet. Today I installed Android Studio without any problems. I added the correct path. JAVA_HOME to C:\Program Files\Java\jdk1.8.0_20 and JDK_HOME to C:\Program Files\Java\jdk1.8.0_20 But, when I start the program it freezes on the loading screen. (The gray picture with the green android logo and text Android Studio) It does create a process that I can't close, but after waiting for 20 minutes it's still on that screen. I tried a clean install,

问题 I searched all day but haven't find a solution yet. Today I installed Android Studio without any problems. I added the correct path. JAVA_HOME to C:\Program Files\Java\jdk1.8.0_20 and JDK_HOME to C:\Program Files\Java\jdk1.8.0_20 But, when I start the program it freezes on the loading screen. (The gray picture with the green android logo and text Android Studio) It does create a process that I can't close, but after waiting for 20 minutes it's still on that screen. I tried a clean install,

问题 The following question is not a duplicate of How to apply layer-wise learning rate in Pytorch? because this question aims at freezing a subset of a tensor from training rather than the entire layer. I am trying out a PyTorch implementation of Lottery Ticket Hypothesis. For that, I want to freeze the weights in a model that are zero. Is the following a correct way to implement it? for name, p in model.named_parameters(): if 'weight' in name: tensor = p.data.cpu().numpy() grad_tensor = p.grad

问题 The following question is not a duplicate of How to apply layer-wise learning rate in Pytorch? because this question aims at freezing a subset of a tensor from training rather than the entire layer. I am trying out a PyTorch implementation of Lottery Ticket Hypothesis. For that, I want to freeze the weights in a model that are zero. Is the following a correct way to implement it? for name, p in model.named_parameters(): if 'weight' in name: tensor = p.data.cpu().numpy() grad_tensor = p.grad

问题 So, recently I was using the Python theme function for the IDLE program itself. I downloaded three themes and built my own one, which is selected now. The problem is, I forgot to set colours for the blinker and highlighting, which is hugely problematic. When I went to see if I could change back to the default setting, Python IDLE simply froze up when I selected 'Configure IDLE' under options. I can still scroll through the file, attempt to close the window and minimise it etc, but it has just