[Mlir-commits] [mlir] [mlir][nvgpu] NVGPU Tutorials (PR #87065)

[Jacques Pienaar]

================
@@ -0,0 +1,462 @@
+from enum import Enum
+import functools, sys, ctypes, os, errno
+import numpy as np
+from functools import partialmethod
+from mlir import ir
+from mlir.dialects import arith, func, gpu, memref, nvgpu, scf, nvvm
+from mlir.extras import types as T
+from mlir import runtime as rt
+from tools import nvgpucompiler
+
+MLIR_DYNAMIC = -9223372036854775808
+
+
+def const(value: int, ty=None):
+    ty = T.index() if ty is None else ty
+    if isinstance(value, ir.Value) and (
+        value.type.isinstance(value.type) or T.bool().isinstance(value.type)
+    ):
+        return value
+    return arith.constant(ty, value)
+
+
+def get_type_size(ty):
+    if ir.MemRefType.isinstance(ty):
+        size = get_type_size(ty.element_type)
+        for sz in ty.shape:
+            size *= sz
+        return size
+    if ir.FloatType.isinstance(ty):
+        return ir.FloatType(ty).width // 8
+    if ir.IntegerType.isinstance(ty):
+        return ir.IntegerType(ty).width // 8
+    raise NotImplementedError(ty)
+
+
+def get_mlir_func_obj_ty(inputArgs):
----------------
jpienaar wrote:

So the func can have no return?

https://github.com/llvm/llvm-project/pull/87065