Internal change.

PiperOrigin-RevId: 556806549

jax_triton/triton_lib.py

@@ -258,6 +258,7 @@ def triton_kernel_call_lowering(
     *array_args,
     fn,
     scalar_args,
+    name,
     call_name,
     out_shapes,
     grid,
@@ -273,6 +274,7 @@ def triton_kernel_call_lowering(
     raise NotImplementedError(
         "`input_output_aliases` only supported on `jaxlib>=0.3.22")
 
+  kernel_call_name = name
   args = list(ctx.avals_in)
   arg_dtypes = list(map(get_triton_type, ctx.avals_in))
   for idx, dtype, v in scalar_args:
@@ -413,12 +415,12 @@ def prune_configs(configs, named_args):
       ir.RankedTensorType.get(shape.shape, mlir.dtype_to_ir_type(shape.dtype))
       for shape in out_shapes
   ]
-
+  call_proto = kernel_call.to_proto(kernel_call_name, serialized_metadata)
   return jaxlib.hlo_helpers.custom_call(
       call_target_name=call_name,
       out_types=out_types,
       operands=array_args,
-      backend_config=zlib.compress(kernel_call.to_proto(serialized_metadata)),
+      backend_config=zlib.compress(call_proto),
       operand_layouts=avals_to_layouts(ctx.avals_in),
       result_layouts=avals_to_layouts(ctx.avals_out),
       operand_output_aliases=dict(input_output_aliases),
@@ -444,7 +446,8 @@ def triton_call(
     kernel: triton.JITFunction,
     out_shape: Union[ShapeDtype, Sequence[ShapeDtype]],
     grid: GridOrLambda,
-    call_name: str = "triton_kernel_call",
+    name: str = "",
+    call_name: str = "triton_kernel_call",  # TODO(cjfj): Remove this.
     num_warps: int = 4,
     num_stages: int = 2,
     input_output_aliases: Optional[Dict[int, int]] = None,
@@ -565,6 +568,7 @@ def add(x: jnp.ndarray, y: jnp.ndarray) -> jnp.ndarray:
       *array_args,
       fn=kernel,
       scalar_args=tuple(scalar_args),
+      name=name,
       call_name=call_name,
       out_shapes=tuple(flat_out_shapes),
       grid=grid,