fix buffered dataloader

src/dataloader.jl

@@ -65,7 +65,7 @@ The original data is preserved in the `data` field of the DataLoader.
   (depending on the `collate` and `batchsize` options, could be `getobs!(buffer, data, idxs)` or `getobs!(buffer[i], data, idx)`).
   Default `false`. 
 - **`collate`**: Defines the batching behavior. Default `nothing`. 
-  - If `nothing` , a batch is `getobs(data, indices)`. 
+  - If `nothing`, a batch is `getobs(data, indices)`. 
   - If `false`, each batch is `[getobs(data, i) for i in indices]`. 
   - If `true`, applies `MLUtils.batch` to the vector of observations in a batch, 
     recursively collating arrays in the last dimensions. See [`MLUtils.batch`](@ref) for more information
@@ -235,7 +235,7 @@ _create_buffer(x) = getobs(x, 1)
 
 function _create_buffer(x::BatchView)
     obsindices = _batchrange(x, 1)
-    return [getobs(A.data, idx) for idx in enumerate(obsindices)]
+    return [getobs(x.data, i) for i in obsindices]
 end
 
 function _create_buffer(x::BatchView{TElem,TData,Val{nothing}}) where {TElem,TData}
@@ -322,18 +322,24 @@ end
 
 # Base uses this function for composable array printing, e.g. adjoint(view(::Matrix)))
 function Base.showarg(io::IO, d::DataLoader, toplevel)
-    print(io, "DataLoader(")
+    print(io, "DataLoader(data")
     Base.showarg(io, d.data, false)
-    d.buffer == false || print(io, ", buffer=", d.buffer)
+    if d.buffer != false
+        print(io, ", buffer")
+        Base.showarg(io, d.buffer, false)
+    end
     d.parallel == false || print(io, ", parallel=", d.parallel)
     d.shuffle == false || print(io, ", shuffle=", d.shuffle)
     d.batchsize == 1 || print(io, ", batchsize=", d.batchsize)
     d.partial == true || print(io, ", partial=", d.partial)
-    d.collate === Val(nothing) || print(io, ", collate=", d.collate)
+    d.collate === Val(nothing) || print(io, ", collate=", _valstr(d.collate))
     d.rng == Random.default_rng() || print(io, ", rng=", d.rng)
     print(io, ")")
 end
 
+_valstr(::Val{T}) where T = string(T)
+_valstr(x) = string(x) 
+
 Base.show(io::IO, e::DataLoader) = Base.showarg(io, e, false)
 
 function Base.show(io::IO, m::MIME"text/plain", d::DataLoader)

test/dataloader.jl

@@ -271,21 +271,50 @@
 
             d = DataLoader((X2, Y2), batchsize=3)
 
-            @test contains(repr(d), "DataLoader(::Tuple{Matrix")
+            @test contains(repr(d), "DataLoader(data::Tuple{Matrix")
             @test contains(repr(d), "batchsize=3")
 
             @test contains(repr(MIME"text/plain"(), d), "2-element DataLoader")
             @test contains(repr(MIME"text/plain"(), d), "2×3 Matrix{Float32}, 3-element Vector")
 
             d2 = DataLoader((x = X2, y = Y2), batchsize=2, partial=false)
 
-            @test contains(repr(d2), "DataLoader(::@NamedTuple")
+            @test contains(repr(d2), "DataLoader(data::@NamedTuple")
             @test contains(repr(d2), "partial=false")
 
-            @test contains(repr(MIME"text/plain"(), d2), "2-element DataLoader(::@NamedTuple")
+            @test contains(repr(MIME"text/plain"(), d2), "2-element DataLoader(data::@NamedTuple")
             @test contains(repr(MIME"text/plain"(), d2), "x = 2×2 Matrix{Float32}, y = 2-element Vector")
         end
     end
+
+    @testset "buffer issue 205" begin
+
+        function shift_pair(X)
+            inputs = map(X) do x
+                T = size(x, 4)
+                return selectdim(x, 4, 1:(T-1))
+            end 
+            targets = map(X) do x
+                T = size(x, 4)
+                return selectdim(x, 4, 2:T)
+            end 
+            return (stack(inputs), stack(targets))
+        end
+
+        trajectory = randn(Float32, 32, 32, 4, 3, 5); 
+
+        loader = DataLoader(
+            trajectory;
+            batchsize=2,
+            partial=false,
+            buffer=true,
+            collate = shift_pair,
+            shuffle = false,
+        )
+
+        @test first(loader)[1] == trajectory[:, :, :, 1:2, 1:2]
+        @test first(loader)[2] == trajectory[:, :, :, 2:3, 1:2]
+    end
 end
 
 @testset "eachobs" begin