[pytorch] fix buddy-mlir python module and add new demo

Signed-off-by: Avimitin <dev@avimit.in>

nix/overlay.nix

@@ -19,7 +19,14 @@ rec {
   dramsim3 = final.callPackage ./pkgs/dramsim3.nix { };
   libspike = final.callPackage ./pkgs/libspike.nix { };
   libspike_interfaces = final.callPackage ../difftest/spike_interfaces { };
-  buddy-mlir = final.callPackage ./pkgs/buddy-mlir.nix { };
+
+  # DynamoCompiler doesn't support python 3.12+ yet
+  buddy-mlir = final.callPackage ./pkgs/buddy-mlir.nix { python3 = final.python311; };
+  buddy-mlir-pyenv = final.buddy-mlir.pythonModule.withPackages (ps: [
+    final.buddy-mlir
+    ps.torch
+  ]);
+
   fetchMillDeps = final.callPackage ./pkgs/mill-builder.nix { };
   circt-full = final.callPackage ./pkgs/circt-full.nix { };
   rvv-codegen = final.callPackage ./pkgs/rvv-codegen.nix { };

nix/pkgs/buddy-mlir.nix

@@ -3,13 +3,14 @@
 , llvmPackages_17
 , fetchFromGitHub
 , fetchpatch
+, python3
 , callPackage
 }:
 let
   stdenv = llvmPackages_17.stdenv;
   bintools = llvmPackages_17.bintools;
 
-  buddy-llvm = callPackage ./buddy-llvm.nix { inherit stdenv; };
+  buddy-llvm = callPackage ./buddy-llvm.nix { inherit stdenv python3; };
 in
 stdenv.mkDerivation {
   pname = "buddy-mlir";
@@ -38,12 +39,26 @@ stdenv.mkDerivation {
   patches = [
     (fetchpatch {
       url = "https://github.com/buddy-compiler/buddy-mlir/pull/359.patch";
-      hash = "sha256-hE2nHkuGCBbCCO5VERy5zNctjxydntOu/10J4f+D8to=";
+      hash = "sha256-UKDO/MWkHNBEs2nyBPGy3AT4Dm100EjHPJ0DkJ8uMvo=";
     })
   ];
 
-  passthru.llvm = buddy-llvm;
-
   # No need to do check, and it also takes too much time to finish.
   doCheck = false;
+
+  # Here we concatenate the LLVM and Buddy python module into one directory for easier import
+  postFixup = ''
+    mkdir -p $out/lib/python${python3.pythonVersion}/site-packages
+    cp -vr $out/python_packages/buddy $out/lib/python${python3.pythonVersion}/site-packages/
+    cp -vr ${buddy-llvm}/python_packages/mlir_core/mlir $out/lib/python${python3.pythonVersion}/site-packages/
+  '';
+
+  passthru = {
+    llvm = buddy-llvm;
+
+    # Below three fields are black magic that allow site-packages automatically imported with nixpkgs hooks
+    pythonModule = python3;
+    pythonPath = [ ];
+    requiredPythonModules = [ ];
+  };
 }

tests/pytorch/demo/demo.py

@@ -0,0 +1,31 @@
+import torch
+import torch._dynamo as dynamo
+from torch._inductor.decomposition import decompositions as inductor_decomp
+
+from buddy.compiler.frontend import DynamoCompiler
+from buddy.compiler.ops import tosa
+
+# Define the target function or model.
+def foo(x, y):
+    return x * y + x
+
+# Define the input data.
+float32_in1 = torch.randn(10).to(torch.float32)
+float32_in2 = torch.randn(10).to(torch.float32)
+int32_in1 = torch.randint(0, 10, (10,)).to(torch.int32)
+int32_in2 = torch.randint(0, 10, (10,)).to(torch.int32)
+
+# Initialize the dynamo compiler.
+dynamo_compiler = DynamoCompiler(
+    primary_registry=tosa.ops_registry,
+    aot_autograd_decomposition=inductor_decomp,
+)
+
+# Pass the function and input data to the dynamo compiler's importer, the 
+# importer will first build a graph. Then, lower the graph to top-level IR. 
+# (tosa, linalg, etc.). Finally, accepts the generated module and weight parameters.
+graphs = dynamo_compiler.importer(foo, *(float32_in1, float32_in2))
+graph = graphs[0]
+graph.lower_to_top_level_ir()
+
+print(graph._imported_module)