Change Tuple -> tuple for consistency

Author: gaurav-arya

ext/SparseDiffToolsZygote.jl

@@ -44,24 +44,24 @@ function SparseDiffTools.autoback_hesvec!(dy, f, x, v,
                           cache1 = Dual{typeof(ForwardDiff.Tag(DeivVecTag(), eltype(x))),
                                         eltype(x), 1
                                         }.(x,
-                                           ForwardDiff.Partials.(Tuple.(reshape(v, size(x))))),
+                                           ForwardDiff.Partials.(tuple.(reshape(v, size(x))))),
                           cache2 = Dual{typeof(ForwardDiff.Tag(DeivVecTag(), eltype(x))),
                                         eltype(x), 1
                                         }.(x,
-                                           ForwardDiff.Partials.(Tuple.(reshape(v, size(x))))))
+                                           ForwardDiff.Partials.(tuple.(reshape(v, size(x))))))
     g = let f = f
         (dx, x) -> dx .= first(Zygote.gradient(f, x))
     end
     # Reset each dual number in cache1 to primal = dual = 1.
-    cache1 .= eltype(cache1).(x, ForwardDiff.Partials.(Tuple.(reshape(v, size(x)))))
+    cache1 .= eltype(cache1).(x, ForwardDiff.Partials.(tuple.(reshape(v, size(x)))))
     g(cache2, cache1)
     dy .= partials.(cache2, 1)
 end
 
 function SparseDiffTools.autoback_hesvec(f, x, v)
     g = x -> first(Zygote.gradient(f, x))
     y = Dual{typeof(ForwardDiff.Tag(DeivVecTag, eltype(x))), eltype(x), 1
-             }.(x, ForwardDiff.Partials.(Tuple.(reshape(v, size(x)))))
+             }.(x, ForwardDiff.Partials.(tuple.(reshape(v, size(x)))))
     ForwardDiff.partials.(g(y), 1)
 end
 

test/test_jaches_products.jl

@@ -20,8 +20,8 @@ function h(dy, x)
 end
 
 cache1 = ForwardDiff.Dual{typeof(ForwardDiff.Tag(SparseDiffTools.DeivVecTag(), eltype(x))),
-                          eltype(x), 1}.(x, ForwardDiff.Partials.(Tuple.(v)))
-cache2 = ForwardDiff.Dual{typeof(ForwardDiff.Tag(SparseDiffTools.DeivVecTag(), eltype(x))), eltype(x), 1}.(x, ForwardDiff.Partials.(Tuple.(v)))
+                          eltype(x), 1}.(x, ForwardDiff.Partials.(tuple.(v)))
+cache2 = ForwardDiff.Dual{typeof(ForwardDiff.Tag(SparseDiffTools.DeivVecTag(), eltype(x))), eltype(x), 1}.(x, ForwardDiff.Partials.(tuple.(v)))
 @test num_jacvec!(dy, f, x, v)≈ForwardDiff.jacobian(f, similar(x), x) * v rtol=1e-6
 @test num_jacvec!(dy, f, x, v, similar(v),
                   similar(v))≈ForwardDiff.jacobian(f, similar(x), x) * v rtol=1e-6
@@ -50,9 +50,9 @@ cache2 = ForwardDiff.Dual{typeof(ForwardDiff.Tag(SparseDiffTools.DeivVecTag(), e
 @test numback_hesvec(g, x, v)≈ForwardDiff.hessian(g, x) * v rtol=1e-8
 
 cache3 = ForwardDiff.Dual{typeof(ForwardDiff.Tag(Nothing, eltype(x))), eltype(x), 1
-                          }.(x, ForwardDiff.Partials.(Tuple.(v)))
+                          }.(x, ForwardDiff.Partials.(tuple.(v)))
 cache4 = ForwardDiff.Dual{typeof(ForwardDiff.Tag(Nothing, eltype(x))), eltype(x), 1
-                          }.(x, ForwardDiff.Partials.(Tuple.(v)))
+                          }.(x, ForwardDiff.Partials.(tuple.(v)))
 @test autoback_hesvec!(dy, g, x, v)≈ForwardDiff.hessian(g, x) * v rtol=1e-8
 @test autoback_hesvec!(dy, g, x, v, cache3, cache4)≈ForwardDiff.hessian(g, x) * v rtol=1e-8
 @test autoback_hesvec(g, x, v)≈ForwardDiff.hessian(g, x) * v rtol=1e-8