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 +1,59 @@
+// 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/diagonal_kernel.h"
+
+#include "paddle/phi/backends/xpu/enforce_xpu.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/full_kernel.h"
+namespace phi {
+
+template <typename T, typename Context>
+void DiagonalKernel(const Context& dev_ctx,
+                    const DenseTensor& x,
+                    int offset,
+                    int axis1,
+                    int axis2,
+                    DenseTensor* out) {
+  if (x.numel() == 0) {
+    Full<T, Context>(dev_ctx, out->dims(), 0, out);
+    return;
+  }
+
+  using XPUType = typename XPUTypeTrait<T>::Type;
+  T* out_data = dev_ctx.template Alloc<T>(out);
+  std::vector<int64_t> xshape = vectorize<int64_t>(x.dims());
+  std::vector<int64_t> yshape = vectorize<int64_t>(out->dims());
+
+  int r = xpu::diagonal(dev_ctx.x_context(),
+                        reinterpret_cast<const XPUType*>(x.data<T>()),
+                        reinterpret_cast<XPUType*>(out_data),
+                        xshape,
+                        yshape,
+                        axis1,
+                        axis2,
+                        offset);
+
+  PADDLE_ENFORCE_XDNN_SUCCESS(r, "diagonal");
+}
+}  // namespace phi
+PD_REGISTER_KERNEL(diagonal,
+                   XPU,
+                   ALL_LAYOUT,
+                   phi::DiagonalKernel,
+                   float,
+                   phi::float16,
+                   int,
+                   int64_t,
+                   bool) {}