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 +1,80 @@
+// 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/stack_kernel.h"
+
+#include "paddle/phi/backends/xpu/enforce_xpu.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void StackKernel(const Context& dev_ctx,
+                 const std::vector<const DenseTensor*>& x,
+                 int axis,
+                 DenseTensor* out) {
+  using XPUType = typename XPUTypeTrait<T>::Type;
+  if (axis < 0) {
+    axis += x[0]->dims().size() + 1;
+  }
+
+  // zero sized tensor case
+  if (x[0]->numel() == 0) {
+    dev_ctx.template Alloc<T>(out);
+    auto out_dims = out->dims();
+    out->Resize(out_dims);
+    return;
+  }
+
+  dev_ctx.template Alloc<T>(out);
+  auto& dim = x[0]->dims();
+  std::vector<int64_t> xdims;
+  for (auto i = 0; i < dim.size(); ++i) {
+    xdims.push_back(dim[i]);
+  }
+  xdims.push_back(1);
+  std::vector<std::vector<int64_t>> xdims_list;
+  int64_t n = static_cast<int64_t>(x.size());
+  for (int64_t i = 0; i < n; i++) {
+    xdims_list.push_back(xdims);
+  }
+
+  std::vector<const XPUType*> x_list;
+  for (int64_t i = 0; i < n; i++) {
+    x_list.push_back(reinterpret_cast<const XPUType*>(x[i]->data<T>()));
+  }
+
+  int r = xpu::concat<XPUType>(dev_ctx.x_context(),
+                               x_list,
+                               reinterpret_cast<XPUType*>(out->data<T>()),
+                               xdims_list,
+                               axis);
+  PADDLE_ENFORCE_XDNN_SUCCESS(r, "concat in stack op");
+}
+}  // namespace phi
+
+PD_REGISTER_KERNEL(stack,
+                   XPU,
+                   ALL_LAYOUT,
+                   phi::StackKernel,
+                   double,
+                   float,
+                   phi::float16,
+                   phi::bfloat16,
+                   int64_t,
+                   int,
+                   int16_t,
+                   int8_t,
+                   uint8_t,
+                   bool) {}