chore: import upstream snapshot with attribution

paddle/phi/kernels/cpu/uniform_inplace_kernel.cc

@@ -0,0 +1,54 @@
+/* Copyright (c) 2021 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/uniform_inplace_kernel.h"
+
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void UniformInplaceKernel(const Context& dev_ctx,
+                          const DenseTensor& x UNUSED,
+                          float min,
+                          float max,
+                          int seed,
+                          int diag_num UNUSED,
+                          int diag_step UNUSED,
+                          float diag_val UNUSED,
+                          DenseTensor* out) {
+  T* data = dev_ctx.template Alloc<T>(out);
+  int64_t size = out->numel();
+  std::uniform_real_distribution<T> dist(static_cast<T>(min),
+                                         static_cast<T>(max));
+  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();
+  }
+  for (int64_t i = 0; i < size; ++i) {
+    data[i] = dist(*engine);
+  }
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(uniform_inplace,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::UniformInplaceKernel,
+                   float,
+                   double) {}