[LLVM] Bump to 86b7f51bb

projects/eudsl-python-extras/mlir/extras/runtime/passes.py

@@ -2146,19 +2146,24 @@ def convert_math_to_spirv(self):
     def convert_math_to_xevm(
         self, convert_arith: bool = None, convert_to_ocl: bool = None
     ):
-        """Convert (fast) math operations to native XeVM/SPIRV equivalents
+        """Convert math operations to their XeVM/SPIRV OpenCL equivalents
 
-        This pass converts supported math ops marked with the `afn` fastmath flag
-        to function calls for OpenCL `native_` math intrinsics: These intrinsics
-        are typically mapped directly to native device instructions, often resulting
-        in better performance. However, the precision/error of these intrinsics
-        are implementation-defined, and thus math ops are only converted when they
-        have the `afn` fastmath flag enabled. However, if the `convertToOCL` flag is
-        set then all supported math ops would be lowered to OpenCL math intrinsics.
+        This pass lowers supported math ops to OpenCL math intrinsic calls. The
+        fastmath flag on each op picks which intrinsic is used:
+
+        *   Ops marked `afn` or `fast` become calls to OpenCL `native_` intrinsics.
+            Both work because `fast` is a group flag that expands to every fastmath
+            bit, `afn` included. These intrinsics are typically mapped directly to
+            native device instructions, often resulting in better performance. Their
+            precision/error is implementation-defined, so `afn` is what opts in.
+            Other flags on their own (`nnan`, `ninf`, ...) do not.
+        *   Every other op becomes a call to the precise OpenCL intrinsic from the
+            `__spirv_ocl_` extended instruction set. Set the `convertToOCL` flag to
+            `false` to leave these ops alone instead.
 
         Args:
             convert_arith: Convert supported Arith ops (e.g. arith.divf) as well.
-            convert_to_ocl: Convert supported Math ops to OCL intrinsics.
+            convert_to_ocl: Convert Math ops without `afn` fastmath to precise OCL intrinsics.
         """
         self.add_pass(
             "convert-math-to-xevm",

projects/mlir-python-mcp/mlir_python_mcp/passes.py

@@ -2146,19 +2146,24 @@ def convert_math_to_spirv(self):
     def convert_math_to_xevm(
         self, convert_arith: bool = None, convert_to_ocl: bool = None
     ):
-        """Convert (fast) math operations to native XeVM/SPIRV equivalents
+        """Convert math operations to their XeVM/SPIRV OpenCL equivalents
 
-        This pass converts supported math ops marked with the `afn` fastmath flag
-        to function calls for OpenCL `native_` math intrinsics: These intrinsics
-        are typically mapped directly to native device instructions, often resulting
-        in better performance. However, the precision/error of these intrinsics
-        are implementation-defined, and thus math ops are only converted when they
-        have the `afn` fastmath flag enabled. However, if the `convertToOCL` flag is
-        set then all supported math ops would be lowered to OpenCL math intrinsics.
+        This pass lowers supported math ops to OpenCL math intrinsic calls. The
+        fastmath flag on each op picks which intrinsic is used:
+
+        *   Ops marked `afn` or `fast` become calls to OpenCL `native_` intrinsics.
+            Both work because `fast` is a group flag that expands to every fastmath
+            bit, `afn` included. These intrinsics are typically mapped directly to
+            native device instructions, often resulting in better performance. Their
+            precision/error is implementation-defined, so `afn` is what opts in.
+            Other flags on their own (`nnan`, `ninf`, ...) do not.
+        *   Every other op becomes a call to the precise OpenCL intrinsic from the
+            `__spirv_ocl_` extended instruction set. Set the `convertToOCL` flag to
+            `false` to leave these ops alone instead.
 
         Args:
             convert_arith: Convert supported Arith ops (e.g. arith.divf) as well.
-            convert_to_ocl: Convert supported Math ops to OCL intrinsics.
+            convert_to_ocl: Convert Math ops without `afn` fastmath to precise OCL intrinsics.
         """
         self.add_pass(
             "convert-math-to-xevm",