chore: import upstream snapshot with attribution

python/paddle/apy/matmul_pass/kernel_arg_id_util.py

@@ -0,0 +1,88 @@
+# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import ap
+
+
+class KernelArgIdNameRegistry:
+    def __init__(self, code_gen_ctx, tensor_match_ctx, name_prefix):
+        self.code_gen_ctx = code_gen_ctx
+        self.tensor_match_ctx = tensor_match_ctx
+        self.name_prefix = name_prefix
+        self.generated_kernel_arg_id2unique_name = ap.MutableOrderedDict()
+        self.all_kernel_arg_id2unique_name = ap.MutableOrderedDict()
+        self.in_tensor_data_ptr_seq_no = 0
+        self.out_tensor_data_ptr_seq_no = 0
+        self.dim_expr_seq_no = 0
+
+    def get_or_create_kernel_arg_id_manul_var_name(
+        self, kernel_arg_id, cpp_var_name
+    ):
+        create = lambda: cpp_var_name
+        return self.all_kernel_arg_id2unique_name.get_or_create(
+            kernel_arg_id, create
+        )
+
+    def get_in_tensor_data_ptr_var_name(self, in_ir_value_name):
+        ir_value = getattr(self.tensor_match_ctx, in_ir_value_name)
+        kernel_arg_id = self.code_gen_ctx.in_tensor_data_ptr_kernel_arg_id(
+            ir_value
+        )
+        create = self._get_creator(
+            kernel_arg_id, self._create_in_tensor_data_ptr_var_name
+        )
+        return self.generated_kernel_arg_id2unique_name.get_or_create(
+            kernel_arg_id, create
+        )
+
+    def _get_creator(self, kernel_arg_id, backend_creator):
+        return lambda: self.all_kernel_arg_id2unique_name.get_or_create(
+            kernel_arg_id, backend_creator
+        )
+
+    def _create_in_tensor_data_ptr_var_name(self):
+        name = f"{self.name_prefix}in_ptr_{self.in_tensor_data_ptr_seq_no}"
+        self.in_tensor_data_ptr_seq_no = self.in_tensor_data_ptr_seq_no + 1
+        return name
+
+    def get_out_tensor_data_ptr_var_name(self, out_ir_value_name):
+        ir_value = getattr(self.tensor_match_ctx, out_ir_value_name)
+        kernel_arg_id = self.code_gen_ctx.out_tensor_data_ptr_kernel_arg_id(
+            ir_value
+        )
+        create = self._get_creator(
+            kernel_arg_id, self._create_out_tensor_data_ptr_var_name
+        )
+        return self.generated_kernel_arg_id2unique_name.get_or_create(
+            kernel_arg_id, create
+        )
+
+    def _create_out_tensor_data_ptr_var_name(self):
+        name = f"{self.name_prefix}out_ptr_{self.out_tensor_data_ptr_seq_no}"
+        self.out_tensor_data_ptr_seq_no = self.out_tensor_data_ptr_seq_no + 1
+        return name
+
+    def get_dim_expr_var_name(self, dim_expr):
+        kernel_arg_id = self.code_gen_ctx.dim_expr_kernel_arg_id(dim_expr)
+        create = self._get_creator(
+            kernel_arg_id, self._create_dim_expr_var_name
+        )
+        return self.generated_kernel_arg_id2unique_name.get_or_create(
+            kernel_arg_id, create
+        )
+
+    def _create_dim_expr_var_name(self):
+        name = f"{self.name_prefix}dim_{self.dim_expr_seq_no}"
+        self.dim_expr_seq_no = self.dim_expr_seq_no + 1
+        return name