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refactor backend for type-safety and clarity (#274)
* add type-safe layer round FFI * separate XLA Idris API from high-level usage of this API * simplify functionality for reading and writing `Literal`s
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,95 @@ | ||
| {-- | ||
| Copyright 2022 Joel Berkeley | ||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
| http://www.apache.org/licenses/LICENSE-2.0 | ||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. | ||
| --} | ||
| module Compiler.Computation | ||
|
|
||
| import Control.Monad.State | ||
| import Data.SortedMap | ||
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| import Data.Hashable | ||
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| import Compiler.Graph | ||
| import Compiler.Xla.TensorFlow.Compiler.Xla.Client.XlaBuilder | ||
| import Compiler.Xla.TensorFlow.Compiler.Xla.Client.XlaComputation | ||
| import Compiler.Xla.TensorFlow.Compiler.Xla.Shape | ||
| import Compiler.Xla.TensorFlow.Compiler.Xla.ShapeUtil | ||
| import Compiler.Xla.TensorFlow.Compiler.Xla.XlaData | ||
| import Types | ||
|
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| public export | ||
| data CachingBuilder : Type where | ||
| MkCachingBuilder : XlaBuilder -> SortedMap Bits64 XlaOp -> CachingBuilder | ||
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| public export | ||
| Computation : Type -> Type | ||
| Computation = StateT CachingBuilder IO | ||
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| export | ||
| cached : Graph -> Computation XlaOp -> Computation XlaOp | ||
| cached graph xs = assert_total $ let graphHash = hash graph in do | ||
| builder <- get | ||
| case cacheLookup builder graphHash of | ||
| Just op => pure op | ||
| Nothing => do | ||
| op <- xs | ||
| builder <- get | ||
| put (cacheInsert builder graphHash op) | ||
| pure op | ||
|
|
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| where | ||
| cacheInsert : CachingBuilder -> Bits64 -> XlaOp -> CachingBuilder | ||
| cacheInsert (MkCachingBuilder builder cache) key xlaOp = | ||
| MkCachingBuilder builder (insert key xlaOp cache) | ||
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| cacheLookup : CachingBuilder -> Bits64 -> Maybe XlaOp | ||
| cacheLookup (MkCachingBuilder _ cache) key = lookup key cache | ||
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| export | ||
| build : HasIO io => String -> Computation XlaOp -> io XlaComputation | ||
| build computationName x = do | ||
| builder <- mkXlaBuilder computationName | ||
| MkCachingBuilder builder _ <- liftIO $ execStateT (MkCachingBuilder builder empty) x | ||
| build builder | ||
|
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| export | ||
| buildWithSubBuilder : | ||
| String -> List (Computation XlaOp) -> Computation XlaOp -> Computation XlaComputation | ||
| buildWithSubBuilder computationName computationArguments computationResult = do | ||
| MkCachingBuilder builder _ <- get | ||
| subBuilder <- createSubBuilder builder computationName | ||
| let cachingSubBuilder = MkCachingBuilder subBuilder empty | ||
| allOps = sequence_ (computationArguments ++ [computationResult]) | ||
| MkCachingBuilder subBuilder _ <- liftIO $ execStateT cachingSubBuilder allOps | ||
| build subBuilder | ||
|
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| export | ||
| opToString : Computation XlaOp -> String | ||
| opToString x = unsafePerformIO $ do | ||
| builder <- mkXlaBuilder "toString" | ||
| (MkCachingBuilder builder _, xlaOp) <- runStateT (MkCachingBuilder builder empty) x | ||
| pure $ opToString builder xlaOp | ||
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| export | ||
| parameter : Primitive dtype => Nat -> Types.Shape -> String -> (Graph, Computation XlaOp) | ||
| parameter position shape name = | ||
| let graph = Parameter {dtype} shape position | ||
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| param : Computation XlaOp | ||
| param = do | ||
| MkCachingBuilder builder _ <- get | ||
| xlaShape <- mkShape {dtype} shape | ||
| cached graph $ parameter builder position xlaShape name | ||
|
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| in (graph, param) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,76 @@ | ||
| {-- | ||
| Copyright 2022 Joel Berkeley | ||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
| http://www.apache.org/licenses/LICENSE-2.0 | ||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. | ||
| --} | ||
| module Compiler.LiteralRW | ||
|
|
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| import Compiler.Xla.TensorFlow.Compiler.Xla.XlaData | ||
| import Compiler.Xla.TensorFlow.Compiler.Xla.Literal | ||
| import Literal | ||
| import Util | ||
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| range : (n : Nat) -> Literal [n] Nat | ||
| range n = impl n [] | ||
| where | ||
| impl : (p : Nat) -> Literal [q] Nat -> Literal [q + p] Nat | ||
| impl Z xs = rewrite plusZeroRightNeutral q in xs | ||
| impl (S p) xs = rewrite sym $ plusSuccRightSucc q p in impl p (Scalar p :: xs) | ||
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| indexed : {shape : _} -> Literal shape (List Nat) | ||
| indexed = go shape [] | ||
| where | ||
| concat : Literal [d] (Literal ds a) -> Literal (d :: ds) a | ||
| concat [] = [] | ||
| concat (Scalar x :: xs) = x :: concat xs | ||
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| go : (shape : Types.Shape) -> List Nat -> Literal shape (List Nat) | ||
| go [] idxs = Scalar idxs | ||
| go (0 :: _) _ = [] | ||
| go (S d :: ds) idxs = concat $ map (\i => go ds (snoc idxs i)) (range (S d)) | ||
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| export | ||
| interface Primitive dtype => LiteralRW dtype ty where | ||
| set : Literal -> List Nat -> ty -> IO () | ||
| get : Literal -> List Nat -> ty | ||
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| export | ||
| write : (HasIO io, LiteralRW dtype a) => {shape : _} -> Literal shape a -> io Literal | ||
| write xs = liftIO $ do | ||
| literal <- allocLiteral {dtype} shape | ||
| sequence_ [| (\idxs => set {dtype} literal idxs) indexed xs |] | ||
| pure literal | ||
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| export | ||
| read : LiteralRW dtype a => Literal -> {shape : _} -> Literal shape a | ||
| read lit = map (get {dtype} lit) indexed | ||
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| export | ||
| LiteralRW PRED Bool where | ||
| set = set | ||
| get = get | ||
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| export | ||
| LiteralRW F64 Double where | ||
| set = set | ||
| get = get | ||
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| export | ||
| LiteralRW S32 Int where | ||
| set = set | ||
| get = get | ||
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| export | ||
| LiteralRW U32 Nat where | ||
| set lit idx x = Int.set lit idx (cast x) | ||
| get = cast .: Int.get |
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src/Compiler/TensorFlow/Compiler/XLA/Client/LocalClient.idr
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