chore: import upstream snapshot with attribution

paddle/phi/kernels/xpu/increment_kernel.cc

@@ -0,0 +1,59 @@
+// Copyright (c) 2023 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/increment_kernel.h"
+
+#include "paddle/phi/backends/xpu/enforce_xpu.h"
+#include "paddle/phi/common/memory_utils.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void IncrementKernel(const Context& dev_ctx,
+                     const DenseTensor& x,
+                     float value,
+                     DenseTensor* out) {
+  if (x.numel() == 0) {
+    dev_ctx.template Alloc<T>(out);
+    return;
+  }
+  // check input
+  PADDLE_ENFORCE_EQ(x.numel(),
+                    1,
+                    common::errors::InvalidArgument(
+                        "input tensor x's numel should be EXACTLY 1."));
+
+  const T* x_data = x.data<T>();
+  T* out_data = dev_ctx.template Alloc<T>(out);
+
+  // allocation for "value" on xpu
+  T value_as_t = static_cast<T>(value);
+  xpu::ctx_guard RAII_GUARD(dev_ctx.x_context());
+  T* value_xpu = RAII_GUARD.alloc_l3_or_gm<T>(1);
+  memory_utils::Copy(dev_ctx.GetPlace(),
+                     value_xpu,
+                     CPUPlace(),
+                     reinterpret_cast<void*>(&value_as_t),
+                     sizeof(T));
+
+  // int add(Context* xpu_ctx, const T* x, const T* y, T* z, int64_t len);
+  int ret = xpu::add(dev_ctx.x_context(), x_data, value_xpu, out_data, 1);
+  PADDLE_ENFORCE_XDNN_SUCCESS(ret, "add");
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(
+    increment, XPU, ALL_LAYOUT, phi::IncrementKernel, float, int, int64_t) {}