chore: import upstream snapshot with attribution

paddle/phi/kernels/cpu/binomial_kernel.cc

@@ -0,0 +1,44 @@
+// Copyright (c) 2023 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/binomial_kernel.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/funcs/binomial_functor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void BinomialKernel(const Context& dev_ctx,
+                    const DenseTensor& count,
+                    const DenseTensor& prob,
+                    DenseTensor* out) {
+  auto numel = count.numel();
+  auto* count_data = count.data<T>();
+  auto* prob_data = prob.data<T>();
+  int64_t* out_data = dev_ctx.template Alloc<int64_t>(out);
+
+  for (int64_t i = 0; i < numel; ++i) {
+    out_data[i] =
+        funcs::BinomialFunctor<T>(dev_ctx, count_data[i], prob_data[i]);
+  }
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(
+    binomial, CPU, ALL_LAYOUT, phi::BinomialKernel, float, double) {
+  kernel->OutputAt(0).SetDataType(phi::DataType::INT64);
+}