chore: import upstream snapshot with attribution

paddle/phi/kernels/flatten_kernel.cc

@@ -0,0 +1,168 @@
+//   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/flatten_kernel.h"
+
+#include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/tensor_utils.h"
+#include "paddle/phi/infermeta/unary.h"
+#include "paddle/phi/kernels/funcs/common_shape.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void FlattenKernel(const Context& dev_ctx,
+                   const DenseTensor& x,
+                   int start_axis UNUSED,
+                   int stop_axis UNUSED,
+                   DenseTensor* out) {
+  dev_ctx.Alloc(out, x.dtype());
+  auto out_dims = out->dims();
+  phi::Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
+  out->Resize(out_dims);
+}
+
+// TODO(yuanrisheng): this kernel is for training and xshape is a Intermediate
+// Output Tensor,
+// is there a more flexible way to deal with this case?
+template <typename T, typename Context>
+void FlattenWithXShapeKernel(const Context& dev_ctx,
+                             const DenseTensor& x,
+                             int start_axis,
+                             int stop_axis,
+                             DenseTensor* out,
+                             DenseTensor* xshape UNUSED) {
+  FlattenKernel<T, Context>(dev_ctx, x, start_axis, stop_axis, out);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(flatten,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::FlattenKernel,
+                   float,
+                   phi::bfloat16,
+                   double,
+                   uint8_t,
+                   int8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool) {}
+
+PD_REGISTER_KERNEL(flatten_with_xshape,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::FlattenWithXShapeKernel,
+                   float,
+                   phi::bfloat16,
+                   double,
+                   uint8_t,
+                   int8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool) {}
+
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_REGISTER_KERNEL(flatten,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::FlattenKernel,
+                   float,
+                   phi::float16,
+                   phi::bfloat16,
+                   double,
+                   uint8_t,
+                   int8_t,
+                   int16_t,
+                   int,
+                   int64_t) {}
+
+PD_REGISTER_KERNEL(flatten_with_xshape,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::FlattenWithXShapeKernel,
+                   float,
+                   phi::float16,
+                   phi::bfloat16,
+                   double,
+                   uint8_t,
+                   int8_t,
+                   int16_t,
+                   int,
+                   int64_t) {}
+#endif
+
+#ifdef PADDLE_WITH_XPU
+PD_REGISTER_KERNEL(flatten,
+                   XPU,
+                   ALL_LAYOUT,
+                   phi::FlattenKernel,
+                   double,
+                   float,
+                   phi::float16,
+                   phi::bfloat16,
+                   int64_t,
+                   int,
+                   int16_t,
+                   int8_t,
+                   uint8_t,
+                   bool) {}
+
+PD_REGISTER_KERNEL(flatten_with_xshape,
+                   XPU,
+                   ALL_LAYOUT,
+                   phi::FlattenWithXShapeKernel,
+                   double,
+                   float,
+                   phi::float16,
+                   phi::bfloat16,
+                   int64_t,
+                   int,
+                   int16_t,
+                   int8_t,
+                   uint8_t,
+                   bool) {}
+#endif
+
+#if defined(PADDLE_WITH_CUSTOM_DEVICE) && !defined(PADDLE_WITH_CUDA)
+PD_REGISTER_KERNEL(flatten,
+                   Custom,
+                   ALL_LAYOUT,
+                   phi::FlattenKernel,
+                   float,
+                   phi::float16,
+                   double,
+                   uint8_t,
+                   int8_t,
+                   int16_t,
+                   int,
+                   int64_t) {}
+
+PD_REGISTER_KERNEL(flatten_with_xshape,
+                   Custom,
+                   ALL_LAYOUT,
+                   phi::FlattenWithXShapeKernel,
+                   float,
+                   phi::float16,
+                   double,
+                   uint8_t,
+                   int8_t,
+                   int16_t,
+                   int,
+                   int64_t) {}
+#endif