chore: import upstream snapshot with attribution

paddle/phi/kernels/random_kernel.h

@@ -0,0 +1,68 @@
+// Copyright (c) 2025 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 <limits>
+
+#include "paddle/phi/common/bfloat16.h"
+#include "paddle/phi/common/float16.h"
+#include "paddle/phi/common/int_array.h"
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void RandomKernel(const Context& dev_ctx,
+                  const DenseTensor& x,
+                  int64_t from,
+                  int64_t to,
+                  DenseTensor* out);
+
+template <typename scalar_t>
+int64_t update_from(int64_t from) {
+  static_assert(std::is_floating_point<scalar_t>::value ||
+                    std::is_same<scalar_t, paddle::float16>::value ||
+                    std::is_same<scalar_t, paddle::bfloat16>::value,
+                "scalar_t must be floating-point type");
+
+  const auto from_plus_1 =
+      static_cast<int64_t>(static_cast<scalar_t>(from + 1));
+  if (from_plus_1 < from) {
+    int64_t from_ = std::abs(from + 1);
+    int n = 0;
+    while (from_ >>= 1) ++n;
+    from =
+        from_plus_1 + (1LL << (n - std::numeric_limits<scalar_t>::digits + 1));
+  }
+  return from;
+}
+
+template <typename scalar_t>
+int64_t update_to(int64_t to) {
+  static_assert(std::is_floating_point<scalar_t>::value ||
+                    std::is_same<scalar_t, paddle::float16>::value ||
+                    std::is_same<scalar_t, paddle::bfloat16>::value,
+                "scalar_t must be floating-point type");
+
+  const auto to_minus_1 = static_cast<int64_t>(static_cast<scalar_t>(to - 1));
+  if (to_minus_1 >= to) {
+    int64_t to_ = std::abs(to - 1);
+    int n = 0;
+    while (to_ >>= 1) ++n;
+    to = to_minus_1 - (1LL << (n - std::numeric_limits<scalar_t>::digits + 1));
+  }
+  return to;
+}
+
+}  // namespace phi