.FluxTrainingstateaccess
	
function defined in module 
	FluxTraining
			stateaccess(callback)
			Return a named tuple determining what learner state 
			callback can access. The default is 
			(;), the empty named tuple, meaning no state can be accessed. Implementations of 
			stateaccess should always return the least permissions possible.
			For example, the 
	
			
			ToGPU callback needs to write both the model and the batch data, so its 
			stateaccess implementation is:
			
			
			
			
			stateaccess
			(
			
			::
	
			ToGPU
			)
			 
			=
			 
			
			(
			
    
			
			model
			 
			=
			 
			
	
			Write
			(
			)
			,
			
    
			
	
			params
			 
			=
			 
			
	
			Write
			(
			)
			,
			
    
			
			step
			 
			=
			 
			
			(
			
			xs
			 
			=
			 
			
	
			Write
			(
			)
			,
			 
			
			ys
			 
			=
			 
			
	
			Write
			(
			)
			)
			,
			
			)
			When defining 
			stateaccess, be careful that you do return a 
			NamedTuple. 
			(x = Read(),) is one but 
			(x = Read()) (without the comma) is parsed as an assignment with value 
			Read().
			stateaccess(::Type{HyperParameter})
			Defines what 
			Learner state is accessed when calling 
			sethyperparameter! and 
			gethyperparameter. This is needed so that 
	
			
			Scheduler can access the state.
There are
			21
			methods for FluxTraining.stateaccess:
		
The following pages link back here:
callbacks/callback.jl , callbacks/callbacks.jl , callbacks/conditional.jl , callbacks/custom.jl , callbacks/earlystopping.jl , callbacks/graph.jl , callbacks/hyperparameters.jl , callbacks/logging/checkpointer.jl , callbacks/logging/logger.jl , callbacks/metrics.jl , callbacks/recorder.jl , callbacks/sanitycheck.jl , callbacks/scheduler.jl , callbacks/trace.jl