FastAI.jl

			
			
			
			module
			
			 
			FastAI
			
			

			

			
			
			using
			
			 
			Base
			:
			
			 
			NamedTuple
			

			
			using
			
			 
			Reexport
			

			
			@
			reexport
			 
			
			using
			
			 

	
			FluxTraining
			

			
			import
			
			 

	
			MLUtils
			

			
			
			using
			
			 

	
			MLUtils
			:
			
			 

	
			getobs
			,
			
			 

	
			numobs
			,
			
			 

	
			splitobs
			,
			
			 

	
			eachobs
			,
			
			 

	
			DataLoader
			

			
			using
			
			 

	
			Flux
			

			

			
			using
			
			 
			FilePathsBase
			

			
			using
			
			 

	
			Flux
			

			
			using
			
			 

	
			Flux
			.
			Optimise
			

			
			
			import
			
			 

	
			Flux
			.
			Optimise
			:
			
			 

	
			apply!
			,
			
			 

	
			Optimiser
			,
			
			 

	
			WeightDecay
			

			
			
			using
			
			 

	
			FluxTraining
			:
			
			 

	
			Learner
			,
			
			 
			handle
			

			
			using
			
			 

	
			FluxTraining
			.
			Events
			

			
			
			using
			
			 
			JLD2
			:
			
			 
			jldsave
			,
			
			 
			jldopen
			

			
			using
			
			 
			Markdown
			

			
			using
			
			 
			PrettyTables
			

			
			using
			
			 
			Requires
			

			
			using
			
			 
			Setfield
			

			
			import
			
			 
			Test
			

			
			import
			
			 
			UnicodePlots
			

			
			using
			
			 
			Statistics
			

			
			using
			
			 
			InlineTest
			

			

			

			# ## Learning task API (previously DLPipelines.jl)
			

			
			include
			(
			
			"
			tasks/task.jl
			"
			)
			

			
			include
			(
			
			"
			tasks/taskdata.jl
			"
			)
			

			
			include
			(
			
			"
			tasks/predict.jl
			"
			)
			

			
			include
			(
			
			"
			tasks/check.jl
			"
			)
			

			

			# ## Data block API
			

			
			include
			(
			
			"
			datablock/block.jl
			"
			)
			

			
			include
			(
			
			"
			datablock/encoding.jl
			"
			)
			

			
			include
			(
			
			"
			datablock/task.jl
			"
			)
			

			
			include
			(
			
			"
			datablock/describe.jl
			"
			)
			

			
			include
			(
			
			"
			datablock/wrappers.jl
			"
			)
			

			

			# ## Blocks
			

			# ### Wrapper blocks
			

			
			include
			(
			
			"
			blocks/many.jl
			"
			)
			

			

			# ### Other
			

			
			include
			(
			
			"
			blocks/continuous.jl
			"
			)
			

			
			include
			(
			
			"
			blocks/label.jl
			"
			)
			

			

			# ## Encodings
			

			# ### Wrapper encodings
			

			
			include
			(
			
			"
			encodings/only.jl
			"
			)
			

			

			# ### Other
			

			
			include
			(
			
			"
			encodings/onehot.jl
			"
			)
			

			

			# Training interface
			

			
			include
			(
			
			"
			datablock/models.jl
			"
			)
			

			
			include
			(
			
			"
			datablock/loss.jl
			"
			)
			

			

			# Interpretation
			

			
			include
			(
			
			"
			interpretation/backend.jl
			"
			)
			

			
			include
			(
			
			"
			interpretation/text.jl
			"
			)
			

			
			include
			(
			
			"
			interpretation/makie.jl
			"
			)
			

			
			include
			(
			
			"
			interpretation/task.jl
			"
			)
			

			
			include
			(
			
			"
			interpretation/showinterpretable.jl
			"
			)
			

			
			include
			(
			
			"
			interpretation/learner.jl
			"
			)
			

			
			include
			(
			
			"
			interpretation/detect.jl
			"
			)
			

			

			# Training
			

			
			include
			(
			
			"
			learner.jl
			"
			)
			

			
			include
			(
			
			"
			training/paramgroups.jl
			"
			)
			

			
			include
			(
			
			"
			training/discriminativelrs.jl
			"
			)
			

			
			include
			(
			
			"
			training/utils.jl
			"
			)
			

			
			include
			(
			
			"
			training/onecycle.jl
			"
			)
			

			
			include
			(
			
			"
			training/finetune.jl
			"
			)
			

			
			include
			(
			
			"
			training/lrfind.jl
			"
			)
			

			
			include
			(
			
			"
			training/metrics.jl
			"
			)
			

			

			
			include
			(
			
			"
			serialization.jl
			"
			)
			

			

			# submodules
			

			
			include
			(
			
			"
			datasets/Datasets.jl
			"
			)
			

			
			@
			reexport
			 
			
			using
			
			 
			.

	
			Datasets
			

			

			
			include
			(
			
			"
			Registries/Registries.jl
			"
			)
			

			
			@
			reexport
			 
			
			using
			
			 
			.

	
			Registries
			

			

			
			export
			

			# submodules
			
      

	
			Datasets
			,
			
      
			Models
			,
			
      

	
			getobs
			,
			
      

	
			numobs
			,
			
      

	
			mapobs
			,
			 

	
			eachobs
			,
			 

	
			groupobs
			,
			 

	
			shuffleobs
			,
			 

	
			splitobs
			,
			 
			ObsView
			,
			

			

			# task API
			
      

	
			taskmodel
			,
			
      

	
			taskdataset
			,
			
      

	
			taskdataloaders
			,
			
      

	
			tasklossfn
			,
			
      

	
			encodesample
			,
			
      

	
			predict
			,
			
      

	
			predictbatch
			,
			
      

	
			Training
			,
			
      

	
			Validation
			,
			
      

	
			Inference
			,
			
      

	
			Context
			,
			

			

			# blocks
			
      

	
			Label
			,
			
      

	
			LabelMulti
			,
			
      

	
			Many
			,
			
      

	
			Continuous
			,
			

			

			# encodings
			
      

	
			encode
			,
			
      

	
			decode
			,
			
      

	
			setup
			,
			
      

	
			OneHot
			,
			
      

	
			Only
			,
			
      

	
			Named
			,
			
      

	
			SupervisedTask
			,
			
      

	
			BlockTask
			,
			
      

	
			describetask
			,
			
      

	
			checkblock
			,
			
      

	
			makebatch
			,
			
      

	
			getbatch
			,
			

			

			# interpretation
			
      

	
			ShowText
			,
			
      

	
			ShowMakie
			,
			
      

	
			showblock
			,
			
      

	
			showblocks
			,
			
      

	
			showsample
			,
			
      

	
			showsamples
			,
			
      

	
			showoutput
			,
			
      

	
			showoutputs
			,
			
      

	
			showoutputbatch
			,
			
      

	
			showencodedsample
			,
			
      

	
			showencodedsamples
			,
			
      

	
			showbatch
			,
			
      

	
			showprediction
			,
			
      

	
			showpredictions
			,
			

			

			# training
			
      

	
			tasklearner
			,
			
      

	
			Learner
			,
			
      

	
			fit!
			,
			
      

	
			fitonecycle!
			,
			
      

	
			finetune!
			,
			
      

	
			lrfind
			,
			
      

	
			savetaskmodel
			,
			
      

	
			loadtaskmodel
			,
			
      

	
			accuracy_thresh
			,
			 

	
			gpu
			,
			
      
			plot
			

			

			end