add diagm

src/backend/tensorflow/graph.jl

@@ -31,7 +31,7 @@ graph(::typeof(svd), x) = svd(x)
 
 for op in (*, .*, .+, .^, log, exp, ceil, floor, sqrt, abs, cos,
            sin, tan, atan, asin, acos, tanh, lgamma, erf, erfc, real, imag, conj,
-           inv, det, transpose, permutedims, cat, length, diag)
+           inv, det, transpose, permutedims, cat, length, diag, diagm)
   @eval graph(::typeof($op), args...) = $op(args...)
 end
 

test/backend/tensorflow.jl

@@ -39,6 +39,8 @@ end
   @test tf(@net x -> length(x))(A1) == length(A1)
   A = randn(Float32,(5,5))
   @test tf(@net x -> diag(x))(A) ≈ diag(A)
+  A = randn(Float32,(5,))
+  @test tf(@net x -> diagm(x))(A) ≈ diagm(A)
 end
 
 end