{-# LANGUAGE TemplateHaskell #-} {-# LANGUAGE BangPatterns, DeriveDataTypeable, FlexibleInstances, MultiParamTypeClasses #-} module Gen.Caffe.V1LayerParameter.LayerType where import Prelude ((+), (/), (.)) import qualified Prelude as Prelude' import qualified Data.Typeable as Prelude' import qualified Data.Data as Prelude' import qualified Text.ProtocolBuffers.Header as P' import Language.Haskell.TH.Syntax import Control.Lens data LayerType = NONE | ABSVAL | ACCURACY | ARGMAX | BNLL | CONCAT | CONTRASTIVE_LOSS | CONVOLUTION | DATA | DECONVOLUTION | DROPOUT | DUMMY_DATA | EUCLIDEAN_LOSS | ELTWISE | EXP | FLATTEN | HDF5_DATA | HDF5_OUTPUT | HINGE_LOSS | IM2COL | IMAGE_DATA | INFOGAIN_LOSS | INNER_PRODUCT | LRN | MEMORY_DATA | MULTINOMIAL_LOGISTIC_LOSS | MVN | POOLING | POWER | RELU | SIGMOID | SIGMOID_CROSS_ENTROPY_LOSS | SILENCE | SOFTMAX | SOFTMAX_LOSS | SPLIT | SLICE | TANH | WINDOW_DATA | THRESHOLD deriving (Prelude'.Read, Prelude'.Show, Prelude'.Eq, Prelude'.Ord, Prelude'.Typeable, Prelude'.Data) makeLensesWith (lensRules & lensField .~ \_ _ name -> [TopName (mkName Prelude'.$ "_" Prelude'.++ nameBase name)]) ''LayerType instance P'.Mergeable LayerType instance Prelude'.Bounded LayerType where minBound = NONE maxBound = THRESHOLD instance P'.Default LayerType where defaultValue = NONE toMaybe'Enum :: Prelude'.Int -> P'.Maybe LayerType toMaybe'Enum 0 = Prelude'.Just NONE toMaybe'Enum 35 = Prelude'.Just ABSVAL toMaybe'Enum 1 = Prelude'.Just ACCURACY toMaybe'Enum 30 = Prelude'.Just ARGMAX toMaybe'Enum 2 = Prelude'.Just BNLL toMaybe'Enum 3 = Prelude'.Just CONCAT toMaybe'Enum 37 = Prelude'.Just CONTRASTIVE_LOSS toMaybe'Enum 4 = Prelude'.Just CONVOLUTION toMaybe'Enum 5 = Prelude'.Just DATA toMaybe'Enum 39 = Prelude'.Just DECONVOLUTION toMaybe'Enum 6 = Prelude'.Just DROPOUT toMaybe'Enum 32 = Prelude'.Just DUMMY_DATA toMaybe'Enum 7 = Prelude'.Just EUCLIDEAN_LOSS toMaybe'Enum 25 = Prelude'.Just ELTWISE toMaybe'Enum 38 = Prelude'.Just EXP toMaybe'Enum 8 = Prelude'.Just FLATTEN toMaybe'Enum 9 = Prelude'.Just HDF5_DATA toMaybe'Enum 10 = Prelude'.Just HDF5_OUTPUT toMaybe'Enum 28 = Prelude'.Just HINGE_LOSS toMaybe'Enum 11 = Prelude'.Just IM2COL toMaybe'Enum 12 = Prelude'.Just IMAGE_DATA toMaybe'Enum 13 = Prelude'.Just INFOGAIN_LOSS toMaybe'Enum 14 = Prelude'.Just INNER_PRODUCT toMaybe'Enum 15 = Prelude'.Just LRN toMaybe'Enum 29 = Prelude'.Just MEMORY_DATA toMaybe'Enum 16 = Prelude'.Just MULTINOMIAL_LOGISTIC_LOSS toMaybe'Enum 34 = Prelude'.Just MVN toMaybe'Enum 17 = Prelude'.Just POOLING toMaybe'Enum 26 = Prelude'.Just POWER toMaybe'Enum 18 = Prelude'.Just RELU toMaybe'Enum 19 = Prelude'.Just SIGMOID toMaybe'Enum 27 = Prelude'.Just SIGMOID_CROSS_ENTROPY_LOSS toMaybe'Enum 36 = Prelude'.Just SILENCE toMaybe'Enum 20 = Prelude'.Just SOFTMAX toMaybe'Enum 21 = Prelude'.Just SOFTMAX_LOSS toMaybe'Enum 22 = Prelude'.Just SPLIT toMaybe'Enum 33 = Prelude'.Just SLICE toMaybe'Enum 23 = Prelude'.Just TANH toMaybe'Enum 24 = Prelude'.Just WINDOW_DATA toMaybe'Enum 31 = Prelude'.Just THRESHOLD toMaybe'Enum _ = Prelude'.Nothing instance Prelude'.Enum LayerType where fromEnum NONE = 0 fromEnum ABSVAL = 35 fromEnum ACCURACY = 1 fromEnum ARGMAX = 30 fromEnum BNLL = 2 fromEnum CONCAT = 3 fromEnum CONTRASTIVE_LOSS = 37 fromEnum CONVOLUTION = 4 fromEnum DATA = 5 fromEnum DECONVOLUTION = 39 fromEnum DROPOUT = 6 fromEnum DUMMY_DATA = 32 fromEnum EUCLIDEAN_LOSS = 7 fromEnum ELTWISE = 25 fromEnum EXP = 38 fromEnum FLATTEN = 8 fromEnum HDF5_DATA = 9 fromEnum HDF5_OUTPUT = 10 fromEnum HINGE_LOSS = 28 fromEnum IM2COL = 11 fromEnum IMAGE_DATA = 12 fromEnum INFOGAIN_LOSS = 13 fromEnum INNER_PRODUCT = 14 fromEnum LRN = 15 fromEnum MEMORY_DATA = 29 fromEnum MULTINOMIAL_LOGISTIC_LOSS = 16 fromEnum MVN = 34 fromEnum POOLING = 17 fromEnum POWER = 26 fromEnum RELU = 18 fromEnum SIGMOID = 19 fromEnum SIGMOID_CROSS_ENTROPY_LOSS = 27 fromEnum SILENCE = 36 fromEnum SOFTMAX = 20 fromEnum SOFTMAX_LOSS = 21 fromEnum SPLIT = 22 fromEnum SLICE = 33 fromEnum TANH = 23 fromEnum WINDOW_DATA = 24 fromEnum THRESHOLD = 31 toEnum = P'.fromMaybe (Prelude'.error "hprotoc generated code: toEnum failure for type Gen.Caffe.V1LayerParameter.LayerType") . toMaybe'Enum succ NONE = ABSVAL succ ABSVAL = ACCURACY succ ACCURACY = ARGMAX succ ARGMAX = BNLL succ BNLL = CONCAT succ CONCAT = CONTRASTIVE_LOSS succ CONTRASTIVE_LOSS = CONVOLUTION succ CONVOLUTION = DATA succ DATA = DECONVOLUTION succ DECONVOLUTION = DROPOUT succ DROPOUT = DUMMY_DATA succ DUMMY_DATA = EUCLIDEAN_LOSS succ EUCLIDEAN_LOSS = ELTWISE succ ELTWISE = EXP succ EXP = FLATTEN succ FLATTEN = HDF5_DATA succ HDF5_DATA = HDF5_OUTPUT succ HDF5_OUTPUT = HINGE_LOSS succ HINGE_LOSS = IM2COL succ IM2COL = IMAGE_DATA succ IMAGE_DATA = INFOGAIN_LOSS succ INFOGAIN_LOSS = INNER_PRODUCT succ INNER_PRODUCT = LRN succ LRN = MEMORY_DATA succ MEMORY_DATA = MULTINOMIAL_LOGISTIC_LOSS succ MULTINOMIAL_LOGISTIC_LOSS = MVN succ MVN = POOLING succ POOLING = POWER succ POWER = RELU succ RELU = SIGMOID succ SIGMOID = SIGMOID_CROSS_ENTROPY_LOSS succ SIGMOID_CROSS_ENTROPY_LOSS = SILENCE succ SILENCE = SOFTMAX succ SOFTMAX = SOFTMAX_LOSS succ SOFTMAX_LOSS = SPLIT succ SPLIT = SLICE succ SLICE = TANH succ TANH = WINDOW_DATA succ WINDOW_DATA = THRESHOLD succ _ = Prelude'.error "hprotoc generated code: succ failure for type Gen.Caffe.V1LayerParameter.LayerType" pred ABSVAL = NONE pred ACCURACY = ABSVAL pred ARGMAX = ACCURACY pred BNLL = ARGMAX pred CONCAT = BNLL pred CONTRASTIVE_LOSS = CONCAT pred CONVOLUTION = CONTRASTIVE_LOSS pred DATA = CONVOLUTION pred DECONVOLUTION = DATA pred DROPOUT = DECONVOLUTION pred DUMMY_DATA = DROPOUT pred EUCLIDEAN_LOSS = DUMMY_DATA pred ELTWISE = EUCLIDEAN_LOSS pred EXP = ELTWISE pred FLATTEN = EXP pred HDF5_DATA = FLATTEN pred HDF5_OUTPUT = HDF5_DATA pred HINGE_LOSS = HDF5_OUTPUT pred IM2COL = HINGE_LOSS pred IMAGE_DATA = IM2COL pred INFOGAIN_LOSS = IMAGE_DATA pred INNER_PRODUCT = INFOGAIN_LOSS pred LRN = INNER_PRODUCT pred MEMORY_DATA = LRN pred MULTINOMIAL_LOGISTIC_LOSS = MEMORY_DATA pred MVN = MULTINOMIAL_LOGISTIC_LOSS pred POOLING = MVN pred POWER = POOLING pred RELU = POWER pred SIGMOID = RELU pred SIGMOID_CROSS_ENTROPY_LOSS = SIGMOID pred SILENCE = SIGMOID_CROSS_ENTROPY_LOSS pred SOFTMAX = SILENCE pred SOFTMAX_LOSS = SOFTMAX pred SPLIT = SOFTMAX_LOSS pred SLICE = SPLIT pred TANH = SLICE pred WINDOW_DATA = TANH pred THRESHOLD = WINDOW_DATA pred _ = Prelude'.error "hprotoc generated code: pred failure for type Gen.Caffe.V1LayerParameter.LayerType" instance P'.Wire LayerType where wireSize ft' enum = P'.wireSize ft' (Prelude'.fromEnum enum) wirePut ft' enum = P'.wirePut ft' (Prelude'.fromEnum enum) wireGet 14 = P'.wireGetEnum toMaybe'Enum wireGet ft' = P'.wireGetErr ft' wireGetPacked 14 = P'.wireGetPackedEnum toMaybe'Enum wireGetPacked ft' = P'.wireGetErr ft' instance P'.GPB LayerType instance P'.MessageAPI msg' (msg' -> LayerType) LayerType where getVal m' f' = f' m' instance P'.ReflectEnum LayerType where reflectEnum = [(0, "NONE", NONE), (35, "ABSVAL", ABSVAL), (1, "ACCURACY", ACCURACY), (30, "ARGMAX", ARGMAX), (2, "BNLL", BNLL), (3, "CONCAT", CONCAT), (37, "CONTRASTIVE_LOSS", CONTRASTIVE_LOSS), (4, "CONVOLUTION", CONVOLUTION), (5, "DATA", DATA), (39, "DECONVOLUTION", DECONVOLUTION), (6, "DROPOUT", DROPOUT), (32, "DUMMY_DATA", DUMMY_DATA), (7, "EUCLIDEAN_LOSS", EUCLIDEAN_LOSS), (25, "ELTWISE", ELTWISE), (38, "EXP", EXP), (8, "FLATTEN", FLATTEN), (9, "HDF5_DATA", HDF5_DATA), (10, "HDF5_OUTPUT", HDF5_OUTPUT), (28, "HINGE_LOSS", HINGE_LOSS), (11, "IM2COL", IM2COL), (12, "IMAGE_DATA", IMAGE_DATA), (13, "INFOGAIN_LOSS", INFOGAIN_LOSS), (14, "INNER_PRODUCT", INNER_PRODUCT), (15, "LRN", LRN), (29, "MEMORY_DATA", MEMORY_DATA), (16, "MULTINOMIAL_LOGISTIC_LOSS", MULTINOMIAL_LOGISTIC_LOSS), (34, "MVN", MVN), (17, "POOLING", POOLING), (26, "POWER", POWER), (18, "RELU", RELU), (19, "SIGMOID", SIGMOID), (27, "SIGMOID_CROSS_ENTROPY_LOSS", SIGMOID_CROSS_ENTROPY_LOSS), (36, "SILENCE", SILENCE), (20, "SOFTMAX", SOFTMAX), (21, "SOFTMAX_LOSS", SOFTMAX_LOSS), (22, "SPLIT", SPLIT), (33, "SLICE", SLICE), (23, "TANH", TANH), (24, "WINDOW_DATA", WINDOW_DATA), (31, "THRESHOLD", THRESHOLD)] reflectEnumInfo _ = P'.EnumInfo (P'.makePNF (P'.pack ".caffe.V1LayerParameter.LayerType") ["Gen"] ["Caffe", "V1LayerParameter"] "LayerType") ["Gen", "Caffe", "V1LayerParameter", "LayerType.hs"] [(0, "NONE"), (35, "ABSVAL"), (1, "ACCURACY"), (30, "ARGMAX"), (2, "BNLL"), (3, "CONCAT"), (37, "CONTRASTIVE_LOSS"), (4, "CONVOLUTION"), (5, "DATA"), (39, "DECONVOLUTION"), (6, "DROPOUT"), (32, "DUMMY_DATA"), (7, "EUCLIDEAN_LOSS"), (25, "ELTWISE"), (38, "EXP"), (8, "FLATTEN"), (9, "HDF5_DATA"), (10, "HDF5_OUTPUT"), (28, "HINGE_LOSS"), (11, "IM2COL"), (12, "IMAGE_DATA"), (13, "INFOGAIN_LOSS"), (14, "INNER_PRODUCT"), (15, "LRN"), (29, "MEMORY_DATA"), (16, "MULTINOMIAL_LOGISTIC_LOSS"), (34, "MVN"), (17, "POOLING"), (26, "POWER"), (18, "RELU"), (19, "SIGMOID"), (27, "SIGMOID_CROSS_ENTROPY_LOSS"), (36, "SILENCE"), (20, "SOFTMAX"), (21, "SOFTMAX_LOSS"), (22, "SPLIT"), (33, "SLICE"), (23, "TANH"), (24, "WINDOW_DATA"), (31, "THRESHOLD")]