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 +1,66 @@
+// 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.
+#pragma once
+#include <algorithm>
+#include <mutex>
+#include <unordered_map>
+#include "paddle/phi/common/data_type.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/tensor_utils.h"
+#include "paddle/phi/kernels/funcs/elementwise_base.h"
+#include "paddle/phi/kernels/funcs/reduce_function.h"
+#include "paddle/phi/kernels/impl/matmul_grad_kernel_impl.h"
+#include "paddle/phi/kernels/reduce_sum_kernel.h"
+
+#include "paddle/common/flags.h"
+#include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void LinearV2GradKernel(const Context& dev_ctx,
+                        const DenseTensor& input,
+                        const DenseTensor& weight,
+                        const DenseTensor& bias,
+                        const DenseTensor& out_grad,
+                        const bool transpose_weight,
+                        DenseTensor* input_grad,
+                        DenseTensor* weight_grad,
+                        DenseTensor* bias_grad) {
+  phi::MatmulGradKernel<T, Context>(dev_ctx,
+                                    input,
+                                    weight,
+                                    out_grad,
+                                    false,
+                                    transpose_weight,
+                                    input_grad,
+                                    weight_grad);
+
+  if (bias_grad && bias.numel() != 0) {
+    if (out_grad.numel() != bias_grad->numel()) {
+      dev_ctx.template Alloc<T>(bias_grad);
+      std::vector<int> reduce_dims =
+          funcs::GetReduceDim(bias.dims(), out_grad.dims(), -1);
+      phi::SumKernel<T, Context>(
+          dev_ctx, out_grad, reduce_dims, out_grad.dtype(), false, bias_grad);
+      bias_grad->Resize(bias.dims());
+    } else {
+      phi::Copy(dev_ctx, out_grad, dev_ctx.GetPlace(), false, bias_grad);
+      bias_grad->Resize(bias.dims());
+    }
+  }
+}
+
+}  // namespace phi