Don't link to unnecessary MLIR runtime.

Author: hameerabbasi

sparse/mlir_backend/_core.py

@@ -28,6 +28,12 @@
 libc.free.argtypes = [ctypes.c_void_p]
 libc.free.restype = None
 
+SHARED_LIBS = []
+if DEBUG:
+    SHARED_LIBS.append(MLIR_C_RUNNER_UTILS)
+
+OPT_LEVEL = 0 if DEBUG else 2
+
 # TODO: remove global state
 ctx = Context()
 

sparse/mlir_backend/_ops.py

@@ -9,7 +9,7 @@
 
 from ._array import Array
 from ._common import fn_cache
-from ._core import CWD, DEBUG, SHARED_LIBS, ctx, pm
+from ._core import CWD, DEBUG, OPT_LEVEL, SHARED_LIBS, ctx, pm
 from ._dtypes import DType, IeeeComplexFloatingDType, IeeeRealFloatingDType, IntegerDType
 from .levels import _determine_format
 
@@ -79,7 +79,7 @@ def add(a, b):
         if DEBUG:
             (CWD / "add_module_opt.mlir").write_text(str(module))
 
-    return mlir_finch.execution_engine.ExecutionEngine(module, opt_level=2, shared_libs=SHARED_LIBS)
+    return mlir_finch.execution_engine.ExecutionEngine(module, opt_level=OPT_LEVEL, shared_libs=SHARED_LIBS)
 
 
 @fn_cache
@@ -104,7 +104,7 @@ def reshape(a, shape):
             if DEBUG:
                 (CWD / "reshape_module_opt.mlir").write_text(str(module))
 
-    return mlir_finch.execution_engine.ExecutionEngine(module, opt_level=2, shared_libs=SHARED_LIBS)
+    return mlir_finch.execution_engine.ExecutionEngine(module, opt_level=OPT_LEVEL, shared_libs=SHARED_LIBS)
 
 
 @fn_cache
@@ -132,7 +132,7 @@ def broadcast_to(in_tensor):
             if DEBUG:
                 (CWD / "broadcast_to_module_opt.mlir").write_text(str(module))
 
-    return mlir_finch.execution_engine.ExecutionEngine(module, opt_level=2, shared_libs=SHARED_LIBS)
+    return mlir_finch.execution_engine.ExecutionEngine(module, opt_level=OPT_LEVEL, shared_libs=SHARED_LIBS)
 
 
 def add(x1: Array, x2: Array) -> Array: