chore: import upstream snapshot with attribution

paddle/phi/kernels/reduce_kernel_impl.cc

@@ -0,0 +1,81 @@
+/* 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/reduce_kernel_impl.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+// oneDNN's reduction kernel is optimized only for reducing throughout the
+// most outer dims, so in case of another type of reduction, it would be
+// better to fallback to native implementation
+inline bool HasOptimizedOneDNNKernel(const KernelContext* dev_ctx) {
+  const DenseTensor& x = dev_ctx->InputAt<DenseTensor>(0);
+  IntArray dims_array;
+  const TensorRef& dims_tmp = dev_ctx->AttrAt<TensorRef>(0);
+  dims_array = IntArray(*dims_tmp.Get());
+  int ndims = x.dims().size();
+  const bool reduce_all = recompute_reduce_all(x, dims_array);
+  auto dims = dims_array.GetData();
+
+  // native reduce kernels don't support bf16
+  // so oneDNN kernel is enforced in that case
+  if (x.dtype() == phi::DataType::BFLOAT16) return true;
+
+  if (reduce_all) {
+    return true;
+  }
+
+  for (auto& dim : dims) {
+    if (dim < 0) {
+      dim += ndims;
+    }
+  }
+
+  sort(dims.begin(), dims.end());
+
+  for (size_t i = 0; i < dims.size(); ++i) {
+    if (dims[dims.size() - i - 1] != static_cast<int>(ndims - i - 1)) {
+      return false;
+    }
+  }
+
+  return true;
+}
+
+bool ReduceCheckIfOneDNNSupport(const KernelContext* dev_ctx) {
+  if (dev_ctx->InputAt<DenseTensor>(0).dims().size() > 5 ||
+      !HasOptimizedOneDNNKernel(dev_ctx)) {
+    return false;
+  }
+  return true;
+}
+
+bool ReduceMeanCheckIfOneDNNSupport(const KernelContext* dev_ctx) {
+  std::cout << "ReduceMeanCheckIfOneDNNSupport" << std::endl;
+  if (dev_ctx->InputAt<DenseTensor>(0).dims().size() > 5 ||
+      !HasOptimizedOneDNNKernel(dev_ctx)) {
+    return false;
+  }
+  return true;
+}
+
+bool ReduceGradCheckIfOneDNNSupport(const KernelContext* dev_ctx) {
+  if (dev_ctx->InputAt<DenseTensor>(0).dims().size() > 5) {
+    return false;
+  }
+  return true;
+}
+
+}  // namespace phi