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) 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. */
+
+#include "paddle/phi/kernels/full_kernel.h"
+
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void FullBatchSizeLikeKernel(const Context& dev_ctx,
+                             const DenseTensor& x,
+                             const std::vector<int>& shape UNUSED,
+                             const Scalar& val,
+                             DataType dtype,
+                             int x_batch_size_dim,
+                             int out_batch_size_dim,
+                             DenseTensor* out) {
+  if (!x.lod().empty() && x_batch_size_dim == 0) {
+    // set the correct batch size for the DenseTensor.
+    auto odims = out->dims();
+    odims[out_batch_size_dim] = static_cast<int>(x.lod().back().size()) - 1;
+    FullKernel<T, Context>(dev_ctx, vectorize(odims), val, dtype, out);
+  }
+  FullLikeKernel<T, Context>(dev_ctx, x, val, dtype, out);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(full_batch_size_like,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::FullBatchSizeLikeKernel,
+                   float,
+                   double,
+                   int,
+                   int64_t,
+                   bool) {
+  kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
+}
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_REGISTER_KERNEL(full_batch_size_like,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::FullBatchSizeLikeKernel,
+                   float,
+                   double,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::float16,
+                   phi::bfloat16) {
+  kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
+}
+#endif