chore: import upstream snapshot with attribution

paddle/phi/kernels/cpu/abs_kernel.cc

@@ -0,0 +1,52 @@
+// 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/abs_kernel.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/funcs/complex_functors.h"
+#include "paddle/phi/kernels/funcs/for_range.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+PADDLE_API void AbsKernel(const Context& dev_ctx,
+                          const DenseTensor& x,
+                          DenseTensor* out) {
+  auto numel = x.numel();
+  auto* x_data = x.data<T>();
+  dev_ctx.template Alloc<dtype::Real<T>>(
+      out, size_t(x.numel() * sizeof(dtype::Real<T>)));
+  auto* out_data = out->data<dtype::Real<T>>();
+
+  funcs::ForRange<Context> for_range(dev_ctx, numel);
+  funcs::AbsFunctor<T> functor(x_data, out_data, numel);
+  for_range(functor);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(abs,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::AbsKernel,
+                   float,
+                   double,
+                   int,
+                   int64_t,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->OutputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
+}