torch(五)、Locally disabling gradient computation
torch(五)、Locally disabling gradient computation
狼啸风云
修改于 2022-09-03 21:40:31
修改于 2022-09-03 21:40:31
文章被收录于专栏：计算机视觉理论及其实现
The context managers torch.no_grad(), torch.enable_grad(), and torch.set_grad_enabled() are helpful for locally disabling and enabling gradient computation. See Locally disabling gradient computation for more details on their usage. These context managers are thread local, so they won’t work if you send work to another thread using the :module:`threading` module, etc.
Examples:
>>> x = torch.zeros(1, requires_grad=True)
>>> with torch.no_grad():
... y = x * 2
>>> y.requires_grad
False
>>> is_train = False
>>> with torch.set_grad_enabled(is_train):
... y = x * 2
>>> y.requires_grad
False
>>> torch.set_grad_enabled(True) # this can also be used as a function
>>> y = x * 2
>>> y.requires_grad
True
>>> torch.set_grad_enabled(False)
>>> y = x * 2
>>> y.requires_grad
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原始发表：2019年09月23日，如有侵权请联系 cloudcommunity@tencent.com 删除
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