add inv

src/backend/tensorflow/graph.jl

@@ -30,7 +30,8 @@ graph(::typeof(mean), x, dim=nothing) = TensorFlow.reduce_mean(x;axis=dim)
 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)
+           sin, tan, atan, asin, acos, tanh, lgamma, erf, erfc, real, imag, conj,
+           inv)
   @eval graph(::typeof($op), args...) = $op(args...)
 end
 

test/backend/tensorflow.jl

@@ -35,6 +35,12 @@ m = tf(f)
 u,s,v = m(A)
 @test maximum(abs.(u*diagm(s)*transpose(v) - A)) < error_margin
 
+#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+# inv
+@net f(x) = inv(x)
+m = tf(f)
+@test maximum(abs.(m(A)-inv(A))) < error_margin
+
 #%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 end