chore: import upstream snapshot with attribution

paddle/phi/kernels/impl/seed_kernel_impl.h

@@ -0,0 +1,55 @@
+// 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.
+
+#pragma once
+
+#include "paddle/phi/core/generator.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+static int get_seed(int user_seed,
+                    bool deterministic,
+                    const std::string& rng_name) {
+  int seed = 0;
+  if (!deterministic) {
+    // NOTE: fixed seed should only be used in unittest or for debug.
+    // Guarantee to use random seed in training.
+    if (user_seed != 0) {
+      seed = user_seed;
+    } else {
+      std::random_device rnd;
+      seed = rnd();
+    }
+  } else {
+    std::string name = rng_name;
+    auto rng = GetRandomSeedGenerator(name);
+    do {  // NOTE(wangxi): cpu dropout will use random seed if seed == 0
+      seed = static_cast<int>(rng->Random64());
+    } while (seed == 0);
+  }
+  return seed;
+}
+
+template <typename T, typename Context>
+void CPUSeedKernel(const Context& dev_ctx,
+                   int seed,
+                   bool deterministic,
+                   const std::string& rng_name,
+                   bool force_cpu UNUSED,
+                   DenseTensor* out) {
+  auto* out_data = dev_ctx.template Alloc<T>(out);
+  out_data[0] = get_seed(seed, deterministic, rng_name);
+}
+}  // namespace phi