[MXNET-1440] julia: porting current_context

julia/src/MXNet.jl

@@ -80,7 +80,11 @@ export Context,
        cpu,
        gpu,
        num_gpus,
-       gpu_memory_info
+       gpu_memory_info,
+       current_context,
+       @context,
+       @cpu,
+       @gpu
 
 # model.jl
 export AbstractModel,

julia/src/context.jl

@@ -31,11 +31,89 @@ struct Context
   Context(dev_type::CONTEXT_TYPE, dev_id::Integer = 0) = new(dev_type, dev_id)
 end
 
+const _default_ctx = Ref{Context}(Context(CPU, 0))
+
 Context(dev_type::Integer, dev_id::Integer = 0) =
   Context(convert(CONTEXT_TYPE, dev_type), dev_id)
 
 Base.show(io::IO, ctx::Context) =
-  print(io, "$(ctx.device_type)$(ctx.device_id)")
+  print(io, lowercase("$(ctx.device_type)$(ctx.device_id)"))
+
+function _with_context(dev_type::Union{Symbol,Expr}, dev_id, e::Expr)
+  global _default_ctx
+  quote
+    ctx = current_context()
+    ctx′ = Context($(esc(dev_type)), $(esc(dev_id)))
+    $_default_ctx[] = ctx′
+    try
+      return $(esc(e))
+    finally
+      $_default_ctx[] = ctx
+    end
+  end
+end
+
+"""
+    @context device_type [device_id] expr
+
+Change the default context in the following expression.
+
+# Examples
+```jl-repl
+julia> mx.@context mx.GPU begin
+         mx.zeros(2, 3)
+       end
+2×3 NDArray{Float32,2} @ gpu0:
+ 0.0f0  0.0f0  0.0f0
+ 0.0f0  0.0f0  0.0f0
+
+julia> @context mx.GPU mx.zeros(3, 2)
+3×2 NDArray{Float32,2} @ gpu0:
+ 0.0f0  0.0f0
+ 0.0f0  0.0f0
+ 0.0f0  0.0f0
+```
+"""
+macro context(dev_type, e::Expr)
+  _with_context(dev_type, 0, e)
+end
+
+macro context(dev_type, dev_id, e::Expr)
+  _with_context(dev_type, dev_id, e)
+end
+
+for dev ∈ [:cpu, :gpu]
+  ctx = QuoteNode(Symbol(uppercase(string(dev))))
+  docstring = """
+        @$dev [device_id] expr
+
+    A shorthand for `@context mx.GPU`.
+
+    # Examples
+    ```jl-repl
+    julia> mx.@with_gpu mx.zeros(2, 3)
+    2×3 NDArray{Float32,2} @ gpu0:
+     0.0f0  0.0f0  0.0f0
+     0.0f0  0.0f0  0.0f0
+    ```
+    """
+  @eval begin
+    @doc $docstring ->
+    macro $dev(e::Expr)
+      ctx = $ctx
+      quote
+        @context $ctx $(esc(e))
+      end
+    end
+
+    macro $dev(dev_id, e::Expr)
+      ctx = $ctx
+      quote
+        @context $ctx $(esc(dev_id)) $(esc(e))
+      end
+    end
+  end
+end  # for dev ∈ [:cpu, :gpu]
 
 """
     cpu(dev_id)
@@ -86,3 +164,27 @@ function gpu_memory_info(dev_id = 0)
   @mxcall :MXGetGPUMemoryInformation64 (Cint, Ref{UInt64}, Ref{UInt64}) dev_id free n
   free[], n[]
 end
+
+"""
+    current_context()
+
+Return the current context.
+
+By default, `mx.cpu()` is used for all the computations
+and it can be overridden by using the `@context` macro.
+
+# Examples
+```jl-repl
+julia> mx.current_context()
+cpu0
+
+julia> mx.@context mx.GPU 1 begin  # Context changed in the following code block
+         mx.current_context()
+       end
+gpu1
+
+julia> mx.current_context()
+cpu0
+```
+"""
+current_context() = _default_ctx[]

julia/src/ndarray/array.jl

@@ -28,43 +28,45 @@ Base.similar(x::NDArray{T,N}; writable = x.writable, ctx = context(x)) where {T,
   NDArray{T,N}(undef, size(x)...; writable = writable, ctx = ctx)
 
 """
-    zeros([DType], dims, [ctx::Context = cpu()])
+    zeros([DType], dims, ctx::Context = current_context())
     zeros([DType], dims...)
     zeros(x::NDArray)
 
 Create zero-ed `NDArray` with specific shape and type.
 """
-function zeros(::Type{T}, dims::NTuple{N,Int}, ctx::Context = cpu()) where {N,T<:DType}
+function zeros(::Type{T}, dims::NTuple{N,Int},
+               ctx::Context = current_context()) where {N,T<:DType}
   x = NDArray{T}(undef, dims..., ctx = ctx)
   x[:] = zero(T)
   x
 end
 
 zeros(::Type{T}, dims::Int...) where {T<:DType} = zeros(T, dims)
 
-zeros(dims::NTuple{N,Int}, ctx::Context = cpu()) where N =
+zeros(dims::NTuple{N,Int}, ctx::Context = current_context()) where N =
   zeros(MX_float, dims, ctx)
 zeros(dims::Int...) = zeros(dims)
 
 zeros(x::NDArray)::typeof(x)      = zeros_like(x)
 Base.zeros(x::NDArray)::typeof(x) = zeros_like(x)
 
 """
-    ones([DType], dims, [ctx::Context = cpu()])
+    ones([DType], dims, ctx::Context = current_context())
     ones([DType], dims...)
     ones(x::NDArray)
 
 Create an `NDArray` with specific shape & type, and initialize with 1.
 """
-function ones(::Type{T}, dims::NTuple{N,Int}, ctx::Context = cpu()) where {N,T<:DType}
+function ones(::Type{T}, dims::NTuple{N,Int},
+              ctx::Context = current_context()) where {N,T<:DType}
   arr = NDArray{T}(undef, dims..., ctx = ctx)
   arr[:] = one(T)
   arr
 end
 
 ones(::Type{T}, dims::Int...) where T<:DType = ones(T, dims)
 
-ones(dims::NTuple{N,Int}, ctx::Context = cpu()) where N =
+ones(dims::NTuple{N,Int}, ctx::Context = current_context()) where N =
   ones(MX_float, dims, ctx)
 ones(dims::Int...) = ones(dims)
 
@@ -458,12 +460,12 @@ function Base.fill!(arr::NDArray, x)
 end
 
 """
-    fill(x, dims, ctx=cpu())
+    fill(x, dims, ctx = current_context())
     fill(x, dims...)
 
 Create an `NDArray` filled with the value `x`, like `Base.fill`.
 """
-function fill(x::T, dims::NTuple{N,Integer}, ctx::Context = cpu()) where {T,N}
+function fill(x::T, dims::NTuple{N,Integer}, ctx::Context = current_context()) where {T,N}
   arr = NDArray{T}(undef, dims, ctx = ctx)
   arr[:] = x
   arr

julia/src/ndarray/type.jl

@@ -116,7 +116,7 @@ end
 
 # UndefInitializer constructors
 NDArray{T,N}(::UndefInitializer, dims::NTuple{N,Integer};
-             writable = true, ctx::Context = cpu()) where {T,N} =
+             writable = true, ctx::Context = current_context()) where {T,N} =
   NDArray{T,N}(_ndarray_alloc(T, dims, ctx, false), writable)
 NDArray{T,N}(::UndefInitializer, dims::Vararg{Integer,N}; kw...) where {T,N} =
   NDArray{T,N}(undef, dims; kw...)

julia/test/unittest/context.jl

@@ -26,8 +26,85 @@ function test_num_gpus()
   @test num_gpus() >= 0
 end
 
+function test_context_macro()
+  @info "Context::@context"
+
+  @context mx.CPU 42 begin
+    ctx = mx.current_context()
+    @test ctx.device_type == mx.CPU
+    @test ctx.device_id   == 42
+
+    @context mx.GPU 24 begin
+      ctx = mx.current_context()
+      @test ctx.device_type == mx.GPU
+      @test ctx.device_id   == 24
+    end
+
+    ctx = mx.current_context()
+    @test ctx.device_type == mx.CPU
+    @test ctx.device_id   == 42
+  end
+
+  function f()
+    ctx = mx.current_context()
+    @test ctx.device_type == mx.GPU
+    @test ctx.device_id   == 123
+  end
+
+  @context mx.GPU 123 begin
+    f()
+  end
+
+  @context mx.GPU begin
+    ctx = mx.current_context()
+    @test ctx.device_type == mx.GPU
+    @test ctx.device_id   == 0
+  end
+
+  @context mx.CPU begin
+    ctx = mx.current_context()
+    @test ctx.device_type == mx.CPU
+    @test ctx.device_id   == 0
+  end
+
+  @info "Context::@gpu"
+  @gpu 123 f()
+  @gpu begin
+    ctx = mx.current_context()
+    @test ctx.device_type == mx.GPU
+    @test ctx.device_id   == 0
+  end
+  let n = 321
+    @gpu n begin
+      ctx = mx.current_context()
+      @test ctx.device_type == mx.GPU
+      @test ctx.device_id   == 321
+    end
+  end
+
+  @info "Context::@cpu"
+  @cpu 123 begin
+    ctx = mx.current_context()
+    @test ctx.device_type == mx.CPU
+    @test ctx.device_id   == 123
+  end
+  @cpu begin
+    ctx = mx.current_context()
+    @test ctx.device_type == mx.CPU
+    @test ctx.device_id   == 0
+  end
+  let n = 321
+    @cpu n begin
+      ctx = mx.current_context()
+      @test ctx.device_type == mx.CPU
+      @test ctx.device_id   == 321
+    end
+  end
+end
+
 @testset "Context Test" begin
   test_num_gpus()
+  test_context_macro()
 end
 
 

julia/test/unittest/ndarray.jl

@@ -1294,7 +1294,7 @@ function test_show()
     @test occursin("1×4", str)
     @test occursin("NDArray", str)
     @test occursin("Int64", str)
-    @test occursin("CPU", str)
+    @test occursin("cpu", str)
     @test match(r"1\s+2\s+3\s+4", str) != nothing
   end