chore: import upstream snapshot with attribution

paddle/phi/kernels/gpu/exponential_kernel.cu

@@ -0,0 +1,43 @@
+// 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/exponential_kernel.h"
+#include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/common/amp_type_traits.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/funcs/distribution_helper.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void ExponentialKernel(const Context &dev_ctx,
+                       const DenseTensor &x,
+                       float lambda,
+                       DenseTensor *out) {
+  using MT = typename MPTypeTrait<T>::Type;
+  funcs::uniform_distribution<MT> dist;
+  funcs::exponential_transform<MT> trans(lambda);
+  funcs::distribution_and_transform<T>(dev_ctx, out, dist, trans);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(exponential,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::ExponentialKernel,
+                   float,
+                   double,
+                   phi::float16,
+                   phi::bfloat16) {}