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System learning CV pytorch advanced

2022-07-21 02:49:00 【aoaofengzifei】

System learning cv-pytorch Advanced

Use

Delayed initialization

Adjustable parameter

Adjustable parameter ： Adjust super parameters
Hyperparameters ： Not counting the parameters of training update

Model explanation

Captamhttps://captum.ai/

  • Gradient based algorithm
  • Perturbation based algorithm

course https://pytorch.org/tutorials/beginner/introyt/captumyt.html – Not yet.

torchscript/jit

ONNX

Distributed training

Semi precision training 

from torch.cuda.amp import autocast

#  Model settings 
@autocast()
def forward(self,x):
	pass
	return x

#  Training process 
#  Just talk about the data input model and its subsequent parts with autocast() Just go 
for x in train_loader:
	x=x.cuda()
	with autocast():
		output=model(x)
		pass
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