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 +1,60 @@
+/* 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/unstack_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 UnStackKernel(const Context &dev_ctx,
+                   const DenseTensor &x,
+                   int axis,
+                   int num,
+                   std::vector<DenseTensor *> outs) {
+  using XPUType = typename XPUTypeTrait<T>::Type;
+  auto x_dims = x.dims();
+
+  if (axis < 0) axis += x_dims.size();
+  auto x_shape = vectorize<int64_t>(x_dims);
+
+  std::vector<int64_t> dx_dims_list(outs.size(), 1);
+  std::vector<XPUType *> dx_lists;
+  for (size_t j = 0; j < outs.size(); ++j) {
+    dev_ctx.template Alloc<T>(outs[j]);
+    dx_lists.push_back(reinterpret_cast<XPUType *>(outs[j]->data<T>()));
+  }
+
+  int r = xpu::split<XPUType>(dev_ctx.x_context(),
+                              reinterpret_cast<const XPUType *>(x.data<T>()),
+                              dx_lists,
+                              x_shape,
+                              dx_dims_list,
+                              axis);
+
+  PADDLE_ENFORCE_XDNN_SUCCESS(r, "split in unstack op");
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(unstack,
+                   XPU,
+                   ALL_LAYOUT,
+                   phi::UnStackKernel,
+                   phi::float16,
+                   float,
+                   int,
+                   int64_t) {}