diff --git a/.gitignore b/.gitignore
index 35e0622..931dedc 100644
--- a/.gitignore
+++ b/.gitignore
@@ -15,6 +15,7 @@
 target/
 _build/
 data/
+tmp/
 gen/.merlin
 **/*.rs.bk
 Cargo.lock
diff --git a/example/error/main.go b/example/error/main.go
index a4ec930..11981b9 100644
--- a/example/error/main.go
+++ b/example/error/main.go
@@ -34,4 +34,6 @@ func main() {
 	fmt.Printf("ys shape: %v\n", ys.Size())
 
 	xs.Eq1(*ys)
+
+	// xs.Matmul(*ys)
 }
diff --git a/example/tensor/main.go b/example/tensor/main.go
index f6a51cc..7530906 100644
--- a/example/tensor/main.go
+++ b/example/tensor/main.go
@@ -55,4 +55,25 @@ func main() {
 
 	fmt.Printf("DType: %v\n", ts.DType())
 
+	dx := [][]int32{
+		{1, 1},
+		{1, 1},
+	}
+
+	dy := [][]int32{
+		{1, 2, 3},
+		{1, 1, 1},
+	}
+
+	xs, err := wrapper.NewTensorFromData(dx, []int64{2, 2})
+	if err != nil {
+		log.Fatal(err)
+	}
+	ys, err := wrapper.NewTensorFromData(dy, []int64{2, 3})
+	if err != nil {
+		log.Fatal(err)
+	}
+
+	xs.Matmul(*ys)
+
 }
diff --git a/gen/gen.ml b/gen/gen.ml
index 9065a16..fd4a99e 100644
--- a/gen/gen.ml
+++ b/gen/gen.ml
@@ -1,6 +1,6 @@
 (* Automatically generate the C++ -> C -> rust bindings.
    This takes as input the Descriptions.yaml file that gets generated when
-   building PyTorch from source.
+ (Func.c_go_args_list func)  building PyTorch from source.
 
    Run with: dune exec gen/gen.exe
  *)
@@ -189,29 +189,50 @@ module Func = struct
   let go_name name =
     let name =
       Map.find replace_map name |> Option.value ~default:name
-      |> String.lowercase
-      |> String.substr_replace_all ~pattern:"__" ~with_:"_"
+      |> String.capitalize
+      |> String.substr_replace_all ~pattern:"__" ~with_:""
     in
-    if String.is_prefix name ~prefix:"_" then "internal" ^ name else name
+    if String.is_prefix name ~prefix:"_" then
+      "Internal" ^ (name |> String.capitalize)
+    else name |> String.capitalize
 
   let c_go_args_list t =
     List.map t.args ~f:(fun arg ->
         let an = arg.arg_name in
-        let single_param = Printf.sprintf "%s_: %s" an in
+        let single_param = Printf.sprintf "%s %s" an in
         match arg.arg_type with
-        | Bool -> single_param "c_int"
-        | Int64 -> single_param "int64"
-        | Double -> single_param "float64"
-        | Tensor -> single_param "*C_tensor"
-        | TensorOption -> single_param "*C_tensor"
-        | Scalar -> single_param "*C_scalar"
-        | ScalarType -> single_param "c_int"
-        | Device -> single_param "c_int"
-        | String -> Printf.sprintf "%s_ptr int, %s_len c_int" an an
-        | IntList -> Printf.sprintf "%s_data int64, %s_len c_int" an an
-        | TensorList -> Printf.sprintf "%s_data *C_tensor, %s_len c_int" an an
+        | Bool -> single_param "C.int"
+        | Int64 -> single_param "C.long"
+        | Double -> single_param "C.double"
+        | Tensor -> single_param "Ctensor"
+        | TensorOption -> single_param "Ctensor"
+        | Scalar -> single_param "Cscalar"
+        | ScalarType -> single_param "C.int"
+        | Device -> single_param "C.int"
+        | String -> Printf.sprintf "%s_ptr C.int, %s_len C.int" an an
+        | IntList -> Printf.sprintf "%s_data C.long, %s_len C.int" an an
+        | TensorList -> Printf.sprintf "%s_data Ctensor, %s_len C.int" an an
         | TensorOptions ->
-            Printf.sprintf "%s_kind c_int, %s_device c_int" an an )
+            Printf.sprintf "%s_kind C.int, %s_device C.int" an an )
+    |> String.concat ~sep:", "
+
+  let c_go_args_list_notype t =
+    List.map t.args ~f:(fun arg ->
+        let an = arg.arg_name in
+        let single_param = Printf.sprintf "%s %s" an in
+        match arg.arg_type with
+        | Bool -> single_param ""
+        | Int64 -> single_param ""
+        | Double -> single_param ""
+        | Tensor -> single_param ""
+        | TensorOption -> single_param ""
+        | Scalar -> single_param ""
+        | ScalarType -> single_param ""
+        | Device -> single_param ""
+        | String -> Printf.sprintf "%s_ptr, %s_len" an an
+        | IntList -> Printf.sprintf "%s_data, %s_len" an an
+        | TensorList -> Printf.sprintf "%s_data, %s_len" an an
+        | TensorOptions -> Printf.sprintf "%s_kind, %s_device" an an )
     |> String.concat ~sep:", "
 
   let self_name = "self"
@@ -561,20 +582,22 @@ let write_ffi funcs filename =
   Out_channel.with_file filename ~f:(fun out_ml ->
       let pm s = p out_ml s in
       pm "/* THIS FILE IS AUTOMATICALLY GENERATED, DO NOT EDIT BY HAND! */" ;
-      pm "#[allow(clippy::all)]" ;
-      pm "use crate::{C_scalar, C_tensor};" ;
-      pm "use libc::c_int;" ;
+      pm "package libtch" ;
+      pm "" ;
+      pm "// #include \"stdbool.h\" " ;
+      pm "// #include \"torch_api.h\" " ;
+      pm "import \"C\"" ;
       pm "" ;
-      pm "extern \"C\" {" ;
       Map.iteri funcs ~f:(fun ~key:exported_name ~data:func ->
           match func.Func.returns with
           | `fixed _ ->
-              pm "    func atg_%s(out__: *C_tensor, %s);" exported_name
-                (Func.c_go_args_list func)
+              pm "func Atg_%s(ptr *Ctensor, %s){C.atg_%s(ptr, %s)}"
+                (Func.go_name exported_name)
+                (Func.c_go_args_list func) exported_name
+                (Func.c_go_args_list_notype func)
           | `dynamic ->
-              pm "    func atg_%s(%s) -> *C_tensor;" exported_name
-                (Func.c_go_args_list func) ) ;
-      pm "}" )
+              pm "func Atg_%s(%s)(*Ctensor)" exported_name
+                (Func.c_go_args_list func) ) )
 
 let methods =
   let c name args = {Func.name; args; returns= `fixed 1; kind= `method_} in
@@ -613,7 +636,6 @@ let run ~yaml_filename ~cpp_filename ~ffi_filename ~wrapper_filename
 
 let () =
   run ~yaml_filename:"third_party/pytorch/Declarations-v1.5.0.yaml"
-    ~cpp_filename:"libtch/torch_api_generated"
-    ~ffi_filename:"libtch/c_generated.go"
-    ~wrapper_filename:"libtch/tensor_generated.go"
-    ~fallible_wrapper_filename:"libtch/tensor_fallible_generated.go"
+    ~cpp_filename:"tmp/torch_api_generated" ~ffi_filename:"tmp/c_generated.go"
+    ~wrapper_filename:"tmp/tensor_generated.go"
+    ~fallible_wrapper_filename:"tmp/tensor_fallible_generated.go"
diff --git a/libtch/tensor.go b/libtch/tensor.go
index da227d4..a31da25 100644
--- a/libtch/tensor.go
+++ b/libtch/tensor.go
@@ -10,6 +10,7 @@ import (
 
 // NOTE: C.tensor is a C pointer to torch::Tensor
 type Ctensor = C.tensor
+type Cscalar = C.scalar
 
 func AtNewTensor() Ctensor {
 	return C.at_new_tensor()
diff --git a/libtch/tensor_generated_sample.go b/libtch/tensor_generated_sample.go
index 5aa60ec..441404c 100644
--- a/libtch/tensor_generated_sample.go
+++ b/libtch/tensor_generated_sample.go
@@ -9,3 +9,8 @@ import "C"
 func AtgEq1(ptr *Ctensor, self Ctensor, other Ctensor) {
 	C.atg_eq1(ptr, self, other)
 }
+
+// void atg_matmul(tensor *, tensor self, tensor other);
+func AtgMatmul(ptr *Ctensor, self Ctensor, other Ctensor) {
+	C.atg_matmul(ptr, self, other)
+}
diff --git a/wrapper/tensor.go b/wrapper/tensor.go
index 729c574..a61c952 100644
--- a/wrapper/tensor.go
+++ b/wrapper/tensor.go
@@ -249,3 +249,14 @@ func (ts Tensor) Eq1(other Tensor) {
 
 	lib.AtPrint(*ctensorPtr)
 }
+
+func (ts Tensor) Matmul(other Tensor) {
+	ctensorPtr := (*lib.Ctensor)(unsafe.Pointer(C.malloc(0)))
+	lib.AtgMatmul(ctensorPtr, ts.ctensor, other.ctensor)
+
+	if err := TorchErr(); err != nil {
+		log.Fatal(err)
+	}
+
+	lib.AtPrint(*ctensorPtr)
+}