chore: import upstream snapshot with attribution

paddle/phi/kernels/reverse_kernel.cc

@@ -0,0 +1,77 @@
+// 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/reverse_kernel.h"
+
+#include "paddle/phi/core/enforce.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/tensor_utils.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void ReverseArrayKernel(const Context& dev_ctx,
+                        const TensorArray& x,
+                        const IntArray& axis UNUSED,
+                        TensorArray* out) {
+  PADDLE_ENFORCE_EQ(x.size(),
+                    out->size(),
+                    common::errors::InvalidArgument(
+                        "The input size(%d) and output size(%d) of "
+                        "ReverseArrayKernel is different.",
+                        x.size(),
+                        out->size()));
+  for (size_t offset = 0; offset < x.size(); ++offset) {
+    auto& x_tensor = x.at(offset);
+    PADDLE_ENFORCE_GT(
+        x_tensor.memory_size(),
+        0,
+        common::errors::PreconditionNotMet(
+            "The input phi::TensorArray X[%d] holds no memory.", offset));
+    auto out_offset = x.size() - offset - 1;
+    auto& out_tensor = out->at(out_offset);
+
+    out_tensor.set_lod(x_tensor.lod());
+    phi::Copy<Context>(
+        dev_ctx, x_tensor, dev_ctx.GetPlace(), false, &out_tensor);
+  }
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(reverse_array,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::ReverseArrayKernel,
+                   int,
+                   uint8_t,
+                   int64_t,
+                   bool,
+                   float,
+                   double) {}
+
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+
+PD_REGISTER_KERNEL(reverse_array,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::ReverseArrayKernel,
+                   int,
+                   uint8_t,
+                   int64_t,
+                   bool,
+                   float,
+                   double) {}
+
+#endif