chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
15472 changed files with 3536181 additions and 0 deletions
@@ -0,0 +1,147 @@
+// 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/complex_grad_kernel.h"
+#include "paddle/common/flags.h"
+#include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/common/type_traits.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/complex_kernel.h"
+#include "paddle/phi/kernels/funcs/strided_utils.h"
+
+COMMON_DECLARE_bool(use_stride_kernel);
+
+namespace phi {
+
+template <typename T, typename Context>
+void RealGradStridedKernel(const Context& dev_ctx,
+                           const DenseTensor& dout,
+                           DenseTensor* dx) {
+  if (dx && dx->numel() == 0) {
+    dev_ctx.template Alloc<T>(dx);
+    return;
+  }
+  if (!FLAGS_use_stride_kernel) {
+    PADDLE_THROW(common::errors::Fatal(
+        "FLAGS_use_stride_kernel is closed. Strided kernel "
+        "be called, something wrong has happened!"));
+  }
+  dev_ctx.Alloc(dx, dx->dtype());
+  dx->set_strides(DenseTensorMeta::calc_strides(dx->dims()));
+  PD_VISIT_ALL_TYPES(dx->dtype(), "RealGradStridedKernel", ([&] {
+                       phi::StridedTensorFill<data_t>(*dx, 0, dx);
+                     }));
+  DenseTensor tmp;
+  tmp.set_meta(dout.meta());
+  RealStridedKernel<T, Context>(dev_ctx, *dx, &tmp);
+  PD_VISIT_ALL_TYPES(dout.dtype(), "RealGradStridedKernel", ([&] {
+                       phi::StridedTensorCopy<data_t>(
+                           dout,
+                           vectorize<int64_t>(tmp.dims()),
+                           vectorize<int64_t>(tmp.strides()),
+                           tmp.offset(),
+                           &tmp);
+                     }));
+}
+
+template <typename T, typename Context>
+void ImagGradStridedKernel(const Context& dev_ctx,
+                           const DenseTensor& dout,
+                           DenseTensor* dx) {
+  if (dx && dx->numel() == 0) {
+    dev_ctx.template Alloc<T>(dx);
+    return;
+  }
+  if (!FLAGS_use_stride_kernel) {
+    PADDLE_THROW(common::errors::Fatal(
+        "FLAGS_use_stride_kernel is closed. Strided kernel "
+        "be called, something wrong has happened!"));
+  }
+  dev_ctx.Alloc(dx, dx->dtype());
+  dx->set_strides(DenseTensorMeta::calc_strides(dx->dims()));
+  PD_VISIT_ALL_TYPES(dx->dtype(), "ImagGradStridedKernel", ([&] {
+                       phi::StridedTensorFill<data_t>(*dx, 0, dx);
+                     }));
+
+  DenseTensor tmp;
+  tmp.set_meta(dout.meta());
+  ImagStridedKernel<T, Context>(dev_ctx, *dx, &tmp);
+  PD_VISIT_ALL_TYPES(dout.dtype(), "ImagGradStridedKernel", ([&] {
+                       phi::StridedTensorCopy<data_t>(
+                           dout,
+                           vectorize<int64_t>(tmp.dims()),
+                           vectorize<int64_t>(tmp.strides()),
+                           tmp.offset(),
+                           &tmp);
+                     }));
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(real_grad,
+                   CPU,
+                   STRIDED,
+                   phi::RealGradStridedKernel,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
+}
+
+PD_REGISTER_KERNEL(imag_grad,
+                   CPU,
+                   STRIDED,
+                   phi::ImagGradStridedKernel,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
+}
+
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_REGISTER_KERNEL(real_grad,
+                   GPU,
+                   STRIDED,
+                   phi::RealGradStridedKernel,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
+}
+
+PD_REGISTER_KERNEL(imag_grad,
+                   GPU,
+                   STRIDED,
+                   phi::ImagGradStridedKernel,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
+}
+#endif
+
+#if defined(PADDLE_WITH_CUSTOM_DEVICE) && !defined(PADDLE_WITH_CUDA)
+PD_REGISTER_KERNEL(real_grad,
+                   Custom,
+                   STRIDED,
+                   phi::RealGradStridedKernel,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
+}
+
+PD_REGISTER_KERNEL(imag_grad,
+                   Custom,
+                   STRIDED,
+                   phi::ImagGradStridedKernel,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataType(phi::dtype::ToReal(kernel_key.dtype()));
+}
+#endif