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 +1,68 @@
+// 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/scale_kernel.h"
+
+#include "paddle/phi/backends/xpu/enforce_xpu.h"
+#include "paddle/phi/common/amp_type_traits.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void ScaleKernel(const Context& dev_ctx,
+                 const DenseTensor& x,
+                 const Scalar& scale,
+                 const Scalar& bias,
+                 bool bias_after_scale,
+                 DenseTensor* out) {
+  dev_ctx.template Alloc<T>(out);
+
+  PADDLE_ENFORCE_EQ(
+      x.dims(),
+      out->dims(),
+      common::errors::InvalidArgument("In and out should have the same dim,"
+                                      " expected %s, but got %s.",
+                                      x.dims().to_str().c_str(),
+                                      out->dims().to_str().c_str()));
+  if (x.numel() == 0 || !x.IsInitialized()) {
+    return;
+  }
+
+  using XPUType = typename XPUTypeTrait<T>::Type;
+  using MT = typename phi::dtype::MPTypeTrait<T>::Type;
+  int r = xpu::scale<XPUType, MT>(dev_ctx.x_context(),
+                                  reinterpret_cast<const XPUType*>(x.data<T>()),
+                                  reinterpret_cast<XPUType*>(out->data<T>()),
+                                  x.numel(),
+                                  bias_after_scale,
+                                  scale.to<MT>(),
+                                  bias.to<MT>());
+  PADDLE_ENFORCE_XDNN_SUCCESS(r, "scale");
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(scale,
+                   XPU,
+                   ALL_LAYOUT,
+                   phi::ScaleKernel,
+                   float,
+                   phi::float16,
+                   phi::bfloat16,
+                   uint8_t,
+                   int8_t,
+                   int16_t,
+                   int,
+                   int64_t) {}