Merge branch 'develop' into amd-develop

profiler/src/CMakeLists.txt

@@ -46,8 +46,10 @@ if(GPU_TARGETS MATCHES "gfx9")
     list(APPEND PROFILER_SOURCES profile_grouped_gemm_multiply_tile_loop.cpp)
   endif()
   list(APPEND PROFILER_SOURCES profile_gemm_multiply_add.cpp)
+  if(GPU_TARGETS MATCHES "gfx94")
     list(APPEND PROFILER_SOURCES profile_gemm_multiply_multiply.cpp)
     list(APPEND PROFILER_SOURCES profile_gemm_ab_scale.cpp)
+  endif()
   list(APPEND PROFILER_SOURCES profile_batched_gemm.cpp)
   list(APPEND PROFILER_SOURCES profile_batched_gemm_reduce.cpp)
   list(APPEND PROFILER_SOURCES profile_gemm_add_multiply.cpp)
@@ -128,8 +130,10 @@ if(GPU_TARGETS MATCHES "gfx9")
   target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_batched_gemm_instance)
   target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_batched_gemm_reduce_instance)
   target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_multiply_add_instance)
+  if(GPU_TARGETS MATCHES "gfx94")
     target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_multiply_multiply_instance)
     target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_ab_scale_instance)
+  endif()
   target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_splitk_instance)
   target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_universal_instance)
   target_link_libraries(${PROFILER_EXECUTABLE} PRIVATE device_gemm_universal_reduce_instance)

python/ck4inductor/universal_gemm/gen_instances.py

@@ -62,17 +62,13 @@ def parse_instances(str_instances: List[str]) -> List[CKGemmOperation]:
                     i_current = i_next + 1
             if i_next == -1:
                 break
-        # pad with `None`s for the fields which are not defined in the instance
+
+        template_args.insert(2, tuple())  # ds layout
+        template_args.insert(6, tuple())  # ds dtype
+
         new_instance = CKGemmOperation(
             *template_args,  # type: ignore[arg-type]
-            *((None,) * (len(fields(CKGemmOperation)) - len(template_args))),
         )
-        # the last 2 template parameters are optional
-        # if they are absent, substitute them with default values from Universal Gemm C++ template declaration
-        if new_instance.a_compute_dtype is None:
-            new_instance.a_compute_dtype = new_instance.c_element_dtype
-        if new_instance.b_compute_dtype is None:
-            new_instance.b_compute_dtype = new_instance.c_element_dtype
 
         op_instances.append(new_instance)
     return op_instances
@@ -208,6 +204,8 @@ def gen_ops_preselected() -> List[CKGemmOperation]:
         a_layout="Row",
         b_layout="Col",
         c_layout="Row",
+        ds_element_dtypes=tuple(),
+        ds_layouts=tuple(),
         a_element_dtype="F16",
         b_element_dtype="F16",
         c_element_dtype="F16",

python/ck4inductor/universal_gemm/op.py

@@ -10,10 +10,12 @@ class CKGemmOperation:
 
     a_layout: str
     b_layout: str
+    ds_layouts: Tuple[str]  # addmm specific
     c_layout: str
 
     a_element_dtype: str
     b_element_dtype: str
+    ds_element_dtypes: Tuple[str]  # addmm specific
     c_element_dtype: str
 
     acc_dtype: str
@@ -64,16 +66,15 @@ class CKGemmOperation:
         Tuple[int, int, int, int]
     )
     c_shuffle_block_transfer_scalar_per_vector_n_per_block: int
-
     block_gemm_pipeline_scheduler: str
-    block_gemm_pipeline_version: Optional[str]
+    block_gemm_pipeline_version: str
 
-    a_compute_dtype: Optional[str]
-    b_compute_dtype: Optional[str]
+    a_compute_dtype: Optional[str] = None
+    b_compute_dtype: Optional[str] = None
 
     def name(self):
         # cpp alias for template instance
-        return f"ck_devicegemm_xdl_shuffle_v3_{self.key_name()}"
+        return f"ck_devicegemm_multid_xdl_shuffle_v3_{self.key_name()}"
 
     def key_name(self):
         # TBD; must be unique per instance. Intended to use as dict key