除了这个migrate的文档,个人感觉其他的函数说明写得都不错。 这里主要是说明一下最近在save/load model时遇到的问题 1. 保存什么 正常的torch代码,就直接torch.save(model, path) 或者 torch.save(model.state_dict(), path) 就行了。但是如果用多卡(单机多机都一样)跑的时候,不能直接这么保存。因为使用多卡,...
it will hangs when accelerator.save_state using DeepSpeed with multi-gpus in one node. The question is that if the save_state should be under the main_process (is_main_process)? I have seen the save the model only for the main process when using the distributed training mode in pytorch....
when I useAccelerator.save(unwrapped_model.state_dict(), path), the model will be saved twice (because I used two gpus) In the PyTorch DDP example, they save the model only when the rank is 0, which avoid saving the model multiple times. How can I do that with accelerate?
“I have no interest in being a villain, and I don't think that I can become a good person. I'm at a halfway point where I'm not even sure which path I should walk down... but I guess even there, I can still interfere in someone's life and help bring things to a positive ...
Using cmd.exe, run the following command: @"%SystemRoot%\System32\WindowsPowerShell\v1.0\powershell.exe" -NoProfile -InputFormat None -ExecutionPolicy Bypass -Command "iex ((New-Object System.Net.WebClient).DownloadString('https://chocolatey.org/install.ps1'))" && SET "PATH=%PATH%;%ALLUSERS...
If you do not use Unity Teams Advanced, enter the Accelerator’s host IP address into the following URL path to display its health page: [AcceleratorIP]:[AcceleratorPort]/api/agent-health If the test fails, make sure all host and network firewalls allow access to the Accelerator’s listening...
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Automatic deletion of extra characters in a manually specified save path; Fixed bug with User-Agent header; Improved algorithm to determine correct file names; Minor bugs fixed. Version 5.21.1.1405 - August 14, 2014 Added integration with Google Chrome new versions; ...
(labels) all_loss = self.accelerator.gather...= Accelerator(mixed_precision=mixed_precision) device = str(accelerator.device) device_type...(net) accelerator.save(unwrapped_net.state_dict(),ckpt_path) accelerator.print...= Accelerator() self.net = accelerator.prepare(self.net) val_data = ...
command to save the modification, and press Enter to exit. LOCAL_PATH := $(call my-dir) include $(CLEAR_VARS) LOCAL_MODULE := hns_mdio_daemo LOCAL_KO_SRC_FOLDER := $(LOCAL_PATH) LOCAL_INSTALLED_KO_FILES := hns_mdio_daemo.ko include $(BUILD_DEVICE_KO) Run the following command ...