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