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152 lines
5.3 KiB
Plaintext
152 lines
5.3 KiB
Plaintext
-- Hoogle documentation, generated by Haddock
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-- See Hoogle, http://www.haskell.org/hoogle/
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-- | Code generation for TensorFlow operations.
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--
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-- Please see README.md
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@package tensorflow-opgen
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@version 0.1.0.0
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-- | This module helps parse the proto OpDef into a Haskell type which is
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-- more descriptive of how the attributes and arguments will be used in
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-- the generated code.
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module TensorFlow.OpGen.ParsedOp
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data ParsedOp
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ParsedOp :: Name -> Text -> Text -> [ParsedArg] -> [ParsedArg] -> [Attr AttrType] -> [Attr [DataType]] -> [Attr (NonEmpty Name)] -> Bool -> ParsedOp
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[parsedOpName] :: ParsedOp -> Name
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[parsedOpSummary] :: ParsedOp -> Text
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[parsedOpDescription] :: ParsedOp -> Text
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[parsedInputs] :: ParsedOp -> [ParsedArg]
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[parsedOutputs] :: ParsedOp -> [ParsedArg]
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-- | Attributes that must be set explicitly when creating the op.
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-- Associated with the type of the attribute.
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[explicitInputAttrs] :: ParsedOp -> [Attr AttrType]
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-- | Attributes that are type parameters. Associated with the list of
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-- allowed types (see: TensorFlow.Types.OneOf). If this list is empty,
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-- then any type is acceptable.
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[inferredTypeAttrs] :: ParsedOp -> [Attr [DataType]]
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[inferredListSizeAttrs] :: ParsedOp -> [Attr (NonEmpty Name)]
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-- | Whether this op is stateful or takes a stateful input. Such ops should
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-- not be CSE'd and must be monadic in our API (i.e., return a Build
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-- action).
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[parsedOpIsMonadic] :: ParsedOp -> Bool
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data Name
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Name :: HaskellName -> TFName -> Name
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[haskellName] :: Name -> HaskellName
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[tfName] :: Name -> TFName
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-- | A name that's appropriate for a variable in a Haskell source file.
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newtype HaskellName
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HaskellName :: Text -> HaskellName
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[unHaskellName] :: HaskellName -> Text
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-- | A raw name as specified in the OpDef proto.
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newtype TFName
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TFName :: Text -> TFName
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[unTFName] :: TFName -> Text
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-- | A named attribute, associated with some information about it.
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data Attr a
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Attr :: Name -> Text -> a -> Attr a
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[attrName] :: Attr a -> Name
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[attrDescription] :: Attr a -> Text
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[attrInfo] :: Attr a -> a
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-- | The type of an attribute.
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data AttrType
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AttrSingle :: AttrBaseType -> AttrType
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AttrList :: AttrBaseType -> AttrType
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data AttrBaseType
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AttrBytes :: AttrBaseType
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AttrInt64 :: AttrBaseType
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AttrFloat :: AttrBaseType
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AttrBool :: AttrBaseType
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AttrType :: AttrBaseType
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AttrShape :: AttrBaseType
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AttrTensor :: AttrBaseType
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-- | An input or output argument (Tensor) for an op.
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data ParsedArg
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ParsedArg :: Name -> Text -> ParsedArgCase -> ArgKind -> ParsedArg
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[parsedArgName] :: ParsedArg -> Name
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[parsedArgDescription] :: ParsedArg -> Text
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[parsedArgCase] :: ParsedArg -> ParsedArgCase
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[parsedArgKind] :: ParsedArg -> ArgKind
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data ParsedArgCase
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SimpleArg :: ArgType -> ParsedArgCase
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[argType] :: ParsedArgCase -> ArgType
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ListArg :: Name -> ArgType -> ParsedArgCase
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-- | The attribute that specifies this list's length.
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[argLength] :: ParsedArgCase -> Name
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[argType] :: ParsedArgCase -> ArgType
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-- | A heterogeneous list. TODO(judahjacobson): Implement this.
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MixedListArg :: Name -> ParsedArgCase
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[argTypeAttr] :: ParsedArgCase -> Name
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-- | The type of an argument.
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data ArgType
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-- | A fixed type.
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ArgTypeFixed :: DataType -> ArgType
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-- | A type that depends on an attribute.
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ArgTypeAttr :: Name -> ArgType
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data ArgKind
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ArgTensorRef :: ArgKind
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ArgTensorValue :: ArgKind
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ArgTensorEither :: Text -> ArgKind
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ArgResource :: ArgKind
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parseOp :: OpDef -> ParsedOp
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camelCase :: Text -> Text
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instance GHC.Classes.Eq TensorFlow.OpGen.ParsedOp.AttrType
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instance GHC.Classes.Eq TensorFlow.OpGen.ParsedOp.AttrBaseType
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instance GHC.Classes.Ord TensorFlow.OpGen.ParsedOp.TFName
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instance GHC.Classes.Eq TensorFlow.OpGen.ParsedOp.TFName
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-- | Rendering of TensorFlow operations as Haskell functions.
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--
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-- The basic type signature generated for each op is:
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--
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-- <pre>
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-- {constraints} => {mandatory attrs} -> {input tensors} -> {output tensors}
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-- </pre>
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--
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-- where:
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--
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-- <ul>
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-- <li><tt>{mandatory attrs}</tt> is of the form <tt>A_1 -> ... ->
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-- A_N</tt>, where each <tt>A</tt> is an op attribute that doesn't have a
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-- default and can't be inferred from other inputs.</li>
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-- <li><tt>{constraints}</tt> restrict the type parameters of the input
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-- and output tensors (for example: <tt>TensorType</tt> or
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-- <tt>OneOf</tt>).</li>
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-- <li><tt>{input tensors}</tt> is of the form <tt>T_1 -> ... ->
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-- T_N</tt>, where each <tt>T</tt> is of the form <tt>Tensor Ref a</tt>,
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-- <tt>Tensor v a</tt> or <tt>ResourceHandle a</tt> (or a list of one of
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-- those types), and <tt>a</tt> is either a concrete type or a
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-- (constrained) type variable.</li>
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-- <li><tt>{output tensors}</tt> is of the form <tt>(T_1,...,T_N)</tt>
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-- for "pure" ops, and <tt>Build (T_1,...,T_N)</tt> for "stateful" ops.
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-- An op is considered "stateful" if it takes a <tt>Tensor Ref</tt> or
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-- <tt>ResourceHandle</tt> as input, or if it's explicitly marked
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-- "Stateful" in its <tt>REGISTER_OP</tt> definition. (If there are no
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-- outputs, it is either <tt>ControlNode</tt> or <tt>Build
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-- ControlNode</tt>.)</li>
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-- </ul>
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module TensorFlow.OpGen
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data OpGenFlags
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OpGenFlags :: String -> String -> String -> OpGenFlags
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[outputFile] :: OpGenFlags -> String
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[prefix] :: OpGenFlags -> String
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[excludeList] :: OpGenFlags -> String
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docOpList :: OpGenFlags -> OpList -> Doc
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flagParser :: Parser OpGenFlags
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