add tests for float

JuliaDiff · Sep 18, 2015 · fb1193b · fb1193b
1 parent e64e5d1
commit fb1193b
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diff --git a/test/test_gradients.jl b/test/test_gradients.jl
@@ -65,6 +65,8 @@ for (test_partials, Grad) in ((test_partialstup, ForwardDiff.GradNumTup), (test_
     @test convert(Grad{3,T}, 1) == Grad{3,T}(1.0)
     @test convert(T, Grad{2,T}(1)) == 1.0
 
+    @test float(int_grad) == float_grad
+
     @test promote_type(Grad{N,Int}, Grad{N,Int}) == Grad{N,Int}
     @test promote_type(Grad{N,Float64}, Grad{N,Int}) == Grad{N,Float64}
     @test promote_type(Grad{N,Int}, Float64) == Grad{N,Float64}

diff --git a/test/test_hessians.jl b/test/test_hessians.jl
@@ -77,6 +77,8 @@ const_hess = HessianNumber{N,T,C}(float_val)
 @test convert(HessianNumber{3,T,NTuple{3,T}}, 1) == HessianNumber{3,T,NTuple{3,T}}(1.0)
 @test convert(T, HessianNumber(GradientNumber(1, tuple(0, 0)))) == 1.0
 
+@test float(int_hess) == float_hess
+
 IntHess = HessianNumber{N,Int,NTuple{N,Int}}
 FloatHess = HessianNumber{N,Float64,NTuple{N,Float64}}
 

diff --git a/test/test_tensors.jl b/test/test_tensors.jl
@@ -91,6 +91,8 @@ const_tens = TensorNumber{N,T,C}(float_val)
 @test convert(TensorNumber{3,T,NTuple{3,T}}, 1) == TensorNumber{3,T,NTuple{3,T}}(1.0)
 @test convert(T, TensorNumber(HessianNumber(GradientNumber(1, tuple(0, 0))))) == 1.0
 
+@test float(int_tens) == float_tens
+
 IntTens = TensorNumber{N,Int,NTuple{N,Int}}
 FloatTens = TensorNumber{N,Float64,NTuple{N,Float64}}