chore: import upstream snapshot with attribution

paddle/phi/kernels/custom/number_count_kernel.cc

@@ -0,0 +1,49 @@
+// Copyright (c) 2024 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/number_count_kernel.h"
+
+#include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/tensor_utils.h"
+
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+namespace phi {
+template <typename T, typename Context>
+void NumberCountKernel(const Context& dev_ctx,
+                       const DenseTensor& numbers_in,
+                       int upper_range,
+                       DenseTensor* out) {
+  auto numbers = &numbers_in;
+  auto number_count = out;
+  number_count->Resize({upper_range});
+  dev_ctx.template Alloc<T>(number_count);
+  DenseTensor cpu_tensor;
+  phi::Copy(dev_ctx, *numbers, phi::CPUPlace(), true, &cpu_tensor);
+  std::vector<T> count(upper_range);
+  for (auto i = 0; i < cpu_tensor.numel(); ++i) {
+    auto idx = static_cast<int64_t>(cpu_tensor.data<T>()[i]);
+    if (idx >= 0 && idx < upper_range) {
+      count[idx] += 1;
+    }
+  }
+  TensorFromVector<T>(count, dev_ctx, number_count);
+  number_count->Resize({upper_range});
+}
+}  // namespace phi
+
+PD_REGISTER_KERNEL(
+    number_count, Custom, ALL_LAYOUT, phi::NumberCountKernel, int64_t) {}
+
+#endif