chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
15472 changed files with 3536181 additions and 0 deletions
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+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+# Copyright (c) 2021 NVIDIA Corporation. 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
+
+
+from paddle.incubate.asp import ASPHelper
+
+from .meta_optimizer_base import MetaOptimizerBase
+
+__all__ = []
+
+
+class ASPOptimizer(MetaOptimizerBase):
+    def __init__(self, optimizer):
+        super().__init__(optimizer)
+        self.inner_opt = optimizer
+        # we do not allow meta optimizer to be inner optimizer currently
+        self.meta_optimizers_white_list = [
+            "AMPOptimizer",
+            "LarsOptimizer",
+            "LambOptimizer",
+            "RecomputeOptimizer",
+            "GradientMergeOptimizer",
+        ]
+        self.meta_optimizers_black_list = []
+
+    def _set_basic_info(
+        self, loss, role_maker, user_defined_optimizer, user_defined_strategy
+    ):
+        super()._set_basic_info(
+            loss, role_maker, user_defined_optimizer, user_defined_strategy
+        )
+
+    def _can_apply(self):
+        if not self.role_maker._is_collective:
+            return False
+
+        if self.user_defined_strategy.asp:
+            return True
+
+        return False
+
+    def _disable_strategy(self, dist_strategy):
+        dist_strategy.asp = False
+
+    def _enable_strategy(self, dist_strategy, context):
+        dist_strategy.asp = True
+
+    def minimize_impl(
+        self, loss, startup_program=None, parameter_list=None, no_grad_set=None
+    ):
+        optimize_ops, params_grads = ASPHelper._minimize(
+            self.inner_opt,
+            loss,
+            startup_program=startup_program,
+            parameter_list=parameter_list,
+            no_grad_set=no_grad_set,
+        )
+
+        return optimize_ops, params_grads