diff --git a/deps/build.jl b/deps/build.jl
index 1a104aed..caabe43d 100644
--- a/deps/build.jl
+++ b/deps/build.jl
@@ -1,8 +1,8 @@
 using PyCall
 using Conda
 
-const cur_version = "1.10.0"
-const cur_py_version = "1.10.0"
+const cur_version = "1.12.0"
+const cur_py_version = "1.12.0"
 
 
 ############################
diff --git a/deps/default_imports.txt b/deps/default_imports.txt
index 9368e056..839cf659 100644
--- a/deps/default_imports.txt
+++ b/deps/default_imports.txt
@@ -166,3 +166,6 @@ Rank
 Conv2DBackpropInput
 Svd
 Cross
+FFT
+ComplexAbs
+MatrixSolve
diff --git a/src/ops/transformations.jl b/src/ops/transformations.jl
index 2d17705c..9b9369fa 100644
--- a/src/ops/transformations.jl
+++ b/src/ops/transformations.jl
@@ -380,16 +380,16 @@ Returns:
     local result
     with_op_name(name, "Transpose") do
         if perm === nothing
-            r = range(constant(0), LinearAlgebra.rank(n)-1)
+            r = range(constant(1), LinearAlgebra.rank(n))
             perm = reverse(r, [true])
         end
-        result = Ops.transpose(n, perm)
+        result = Ops.transpose(n, perm .- 1)
     end
     result
 end
 
 @op function Base.permutedims(n::AbstractTensor, perm; name=nothing)
-    transpose(n, perm .- 1; name=name)
+    transpose(n, perm; name=name)
 end
 
 @define_unary Base.adjoint transpose
diff --git a/test/transformations.jl b/test/transformations.jl
index 1d9658dc..4c0e9980 100644
--- a/test/transformations.jl
+++ b/test/transformations.jl
@@ -33,6 +33,14 @@ end
 @testset "Permute Dims" begin
     @test ones(Float32, 4,3) == run(sess, transpose(ones(Tensor, (3, 4))))
     @test ones(Float32, 4,3,2) == run(sess, permutedims(ones(Tensor, (4, 2, 3)), [1, 3, 2]))
+
+    A = rand(Float32, 5, 5, 5)
+    B = permutedims(A, [3,2,1])
+    c = TensorFlow.constant(A)
+    d = transpose(c, [3,2,1])
+    result = run(sess, d)
+    @test maximum(abs.(result-B))≈0.0
+
 end