Merge pull request #555 from JuliaParallel/jps/fetch-all

Add fetch_all recursive helper

Author: jpsamaroo

Project.toml

@@ -3,6 +3,7 @@ uuid = "d58978e5-989f-55fb-8d15-ea34adc7bf54"
 version = "0.18.12"
 
 [deps]
+Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
 DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
 Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
 Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
@@ -24,7 +25,21 @@ TaskLocalValues = "ed4db957-447d-4319-bfb6-7fa9ae7ecf34"
 TimespanLogging = "a526e669-04d3-4846-9525-c66122c55f63"
 UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
 
+[weakdeps]
+Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
+DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+GraphViz = "f526b714-d49f-11e8-06ff-31ed36ee7ee0"
+JSON3 = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
+Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
+
+[extensions]
+GraphVizExt = "GraphViz"
+GraphVizSimpleExt = "Colors"
+JSON3Ext = "JSON3"
+PlotsExt = ["DataFrames", "Plots"]
+
 [compat]
+Adapt = "4.0.4"
 Colors = "0.12"
 DataFrames = "1"
 DataStructures = "0.18"
@@ -43,22 +58,9 @@ TaskLocalValues = "0.1"
 TimespanLogging = "0.1"
 julia = "1.8"
 
-[extensions]
-GraphVizExt = "GraphViz"
-GraphVizSimpleExt = "Colors"
-JSON3Ext = "JSON3"
-PlotsExt = ["DataFrames", "Plots"]
-
 [extras]
 Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 GraphViz = "f526b714-d49f-11e8-06ff-31ed36ee7ee0"
 JSON3 = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
-
-[weakdeps]
-Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
-DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
-GraphViz = "f526b714-d49f-11e8-06ff-31ed36ee7ee0"
-JSON3 = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
-Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"

src/Dagger.jl

@@ -29,6 +29,8 @@ end
 import TimespanLogging
 import TimespanLogging: timespan_start, timespan_finish
 
+import Adapt
+
 include("lib/util.jl")
 include("utils/dagdebug.jl")
 

src/chunks.jl

@@ -65,6 +65,8 @@ is_task_or_chunk(c::Chunk) = true
 Base.:(==)(c1::Chunk, c2::Chunk) = c1.handle == c2.handle
 Base.hash(c::Chunk, x::UInt64) = hash(c.handle, hash(Chunk, x))
 
+Adapt.adapt_storage(::FetchAdaptor, x::Chunk) = fetch(x)
+
 collect_remote(chunk::Chunk) =
     move(chunk.processor, OSProc(), poolget(chunk.handle))
 

src/thunk.jl

@@ -486,6 +486,20 @@ function spawn(f, args...; kwargs...)
     return task
 end
 
+struct FetchAdaptor end
+Adapt.adapt_storage(::FetchAdaptor, x::DTask) = fetch(x)
+Adapt.adapt_structure(::FetchAdaptor, A::AbstractArray) =
+    map(x->Adapt.adapt(FetchAdaptor(), x), A)
+
+"""
+    Dagger.fetch_all(x)
+
+Recursively fetches all `DTask`s and `Chunk`s in `x`, returning an equivalent
+object. Useful for converting arbitrary Dagger-enabled objects into a
+non-Dagger form.
+"""
+fetch_all(x) = Adapt.adapt(FetchAdaptor(), x)
+
 persist!(t::Thunk) = (t.persist=true; t)
 cache_result!(t::Thunk) = (t.cache=true; t)
 

test/thunk.jl

@@ -378,4 +378,19 @@ end
             Dagger.@spawn error()
         end
     end
+    @testset "fetch_all" begin
+        ts = [Dagger.@spawn(1+1) for _ in 1:4]
+        @test Dagger.fetch_all(ts) == [2, 2, 2, 2]
+        cs = map(t->fetch(t; raw=true), ts)
+        @test Dagger.fetch_all(cs) == [2, 2, 2, 2]
+
+        ts = Tuple(Dagger.@spawn(1+1) for _ in 1:4)
+        @test Dagger.fetch_all(ts) == (2, 2, 2, 2)
+        cs = fetch.(ts; raw=true)
+        @test Dagger.fetch_all(cs) == (2, 2, 2, 2)
+
+        t = Dagger.@spawn 1+1
+        @test Dagger.fetch_all(t) == 2
+        @test Dagger.fetch_all(fetch(t; raw=true)) == 2
+    end
 end