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
@@ -0,0 +1,76 @@
+// Copyright (c) 2022 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.
+
+#pragma once
+
+#include "paddle/phi/common/scalar.h"
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+PADDLE_API void AdamDenseKernel(const Context& dev_ctx,
+                                const DenseTensor& param,
+                                const DenseTensor& grad,
+                                const DenseTensor& learning_rate,
+                                const DenseTensor& moment1,
+                                const DenseTensor& moment2,
+                                const optional<DenseTensor>& moment2_max,
+                                const DenseTensor& beta1_pow,
+                                const DenseTensor& beta2_pow,
+                                const optional<DenseTensor>& master_param,
+                                const optional<DenseTensor>& skip_update,
+                                const Scalar& beta1,
+                                const Scalar& beta2,
+                                const Scalar& epsilon,
+                                bool lazy_mode,
+                                int64_t min_row_size_to_use_multithread,
+                                bool multi_precision,
+                                bool use_global_beta_pow,
+                                bool amsgrad,
+                                DenseTensor* param_out,
+                                DenseTensor* moment1_out,
+                                DenseTensor* moment2_out,
+                                DenseTensor* moment2_max_out,
+                                DenseTensor* beta1_pow_out,
+                                DenseTensor* beta2_pow_out,
+                                DenseTensor* master_param_outs);
+
+template <typename T, typename Context>
+void MergedAdamKernel(
+    const Context& dev_ctx,
+    const std::vector<const DenseTensor*>& param,
+    const std::vector<const DenseTensor*>& grad,
+    const std::vector<const DenseTensor*>& learning_rate,
+    const std::vector<const DenseTensor*>& moment1,
+    const std::vector<const DenseTensor*>& moment2,
+    const optional<std::vector<const DenseTensor*>>& moment2_max,
+    const std::vector<const DenseTensor*>& beta1_pow,
+    const std::vector<const DenseTensor*>& beta2_pow,
+    const optional<std::vector<const DenseTensor*>>& master_param,
+    const Scalar& beta1,
+    const Scalar& beta2,
+    const Scalar& epsilon,
+    bool multi_precision,
+    bool use_global_beta_pow,
+    bool amsgrad,
+    std::vector<DenseTensor*> param_out,
+    std::vector<DenseTensor*> moment1_out,
+    std::vector<DenseTensor*> moment2_out,
+    std::vector<DenseTensor*> moment2_max_out,
+    std::vector<DenseTensor*> beta1_pow_out,
+    std::vector<DenseTensor*> beta2_pow_out,
+    std::vector<DenseTensor*> master_param_out);
+
+}  // namespace phi