chore: import upstream snapshot with attribution

paddle/phi/kernels/empty_kernel.cc

@@ -0,0 +1,184 @@
+/* Copyright (c) 2021 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/empty_kernel.h"
+#include "paddle/common/macros.h"
+#include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void EmptyKernel(const Context& dev_ctx,
+                 const IntArray& shape,
+                 DataType dtype UNUSED,
+                 DenseTensor* out) {
+  out->Resize(shape.GetData());
+  dev_ctx.template Alloc<T>(out);
+}
+
+template <typename T, typename Context>
+void EmptyLikeKernel(const Context& dev_ctx,
+                     const DenseTensor& x UNUSED,
+                     DataType dtype UNUSED,
+                     DenseTensor* out) {
+  dev_ctx.template Alloc<T>(out);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(empty,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::EmptyKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::float16,
+                   phi::bfloat16,
+                   phi::float8_e4m3fn,
+                   phi::float8_e5m2,
+                   phi::complex64,
+                   phi::complex128) {}
+
+PD_REGISTER_KERNEL(empty_like,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::EmptyLikeKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::float16,
+                   phi::bfloat16,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
+}
+
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_REGISTER_KERNEL(empty,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::EmptyKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::float16,
+                   phi::bfloat16,
+                   phi::float8_e4m3fn,
+                   phi::float8_e5m2,
+                   phi::complex64,
+                   phi::complex128) {}
+
+PD_REGISTER_KERNEL(empty_like,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::EmptyLikeKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::float16,
+                   phi::bfloat16,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
+}
+#endif
+
+#ifdef PADDLE_WITH_XPU
+PD_REGISTER_KERNEL(empty,
+                   XPU,
+                   ALL_LAYOUT,
+                   phi::EmptyKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::float16,
+                   phi::bfloat16,
+                   phi::complex64) {}
+PD_REGISTER_KERNEL(empty_like,
+                   XPU,
+                   ALL_LAYOUT,
+                   phi::EmptyLikeKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::float16,
+                   phi::bfloat16,
+                   phi::complex64) {
+  kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
+}
+#endif
+
+#if defined(PADDLE_WITH_CUSTOM_DEVICE) && !defined(PADDLE_WITH_CUDA)
+PD_REGISTER_KERNEL(empty,
+                   Custom,
+                   ALL_LAYOUT,
+                   phi::EmptyKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::float16,
+                   phi::bfloat16) {}
+PD_REGISTER_KERNEL(empty_like,
+                   Custom,
+                   ALL_LAYOUT,
+                   phi::EmptyLikeKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::float16,
+                   phi::bfloat16) {
+  kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
+}
+#endif