chore: import upstream snapshot with attribution

paddle/phi/kernels/cpu/randint_kernel.cc

@@ -0,0 +1,51 @@
+// Copyright (c) 2022 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/randint_kernel.h"
+
+#include <random>
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void RandintKernel(const Context& dev_ctx,
+                   int low,
+                   int high,
+                   const IntArray& shape,
+                   DataType dtype UNUSED,
+                   DenseTensor* out) {
+  int seed = 0;
+  out->Resize(shape.GetData());
+  T* data = dev_ctx.template Alloc<T>(out);
+  auto numel = out->numel();
+  std::shared_ptr<std::mt19937_64> engine;
+  if (seed) {
+    engine = std::make_shared<std::mt19937_64>();
+    engine->seed(seed);
+  } else {
+    engine = dev_ctx.GetGenerator()->GetCPUEngine();
+  }
+  std::uniform_int_distribution<T> dist(low, high - 1);
+  for (int64_t i = 0; i < numel; ++i) {
+    data[i] = dist(*engine);
+  }
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(randint, CPU, ALL_LAYOUT, phi::RandintKernel, int, int64_t) {
+}