chore: import upstream snapshot with attribution

paddle/phi/kernels/gpu/seed_kernel.cu

@@ -0,0 +1,58 @@
+// Copyright (c) 2024 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/gpu/seed_kernel.h"
+#include "paddle/phi/backends/context_pool.h"
+#include "paddle/phi/backends/gpu/cuda/cuda_graph_with_memory_pool.h"
+#include "paddle/phi/common/memory_utils.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/funcs/math_function.h"
+#include "paddle/phi/kernels/impl/seed_kernel_impl.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void GPUSeedKernel(const Context &dev_ctx,
+                   int seed_in,
+                   bool deterministic,
+                   const std::string &rng_name,
+                   bool force_cpu,
+                   DenseTensor *out) {
+  int seed = get_seed(seed_in, deterministic, rng_name);
+
+  bool cpu_place = force_cpu || dev_ctx.GetPlace() == CPUPlace();
+  if (cpu_place) {
+    DeviceContextPool &pool = DeviceContextPool::Instance();
+    auto &dev_ctx_cpu = *pool.Get(CPUPlace());
+    dev_ctx_cpu.Alloc<T>(out);
+    funcs::SetConstant<CPUContext, T> functor;
+    functor(reinterpret_cast<const CPUContext &>(dev_ctx_cpu),
+            out,
+            static_cast<T>(seed));
+  } else {
+    auto *out_data = dev_ctx.template Alloc<T>(out);
+    auto stream = dev_ctx.stream();
+    const int *stable_seed =
+        backends::gpu::RestoreHostMemIfCapturingCUDAGraph(&seed, 1);
+    phi::memory_utils::Copy(dev_ctx.GetPlace(),
+                            out_data,
+                            CPUPlace(),
+                            stable_seed,
+                            sizeof(int),
+                            stream);
+  }
+}
+}  // namespace phi
+
+PD_REGISTER_KERNEL(seed, GPU, ALL_LAYOUT, phi::GPUSeedKernel, int) {}