chore: import upstream snapshot with attribution

paddle/phi/kernels/impl/hinge_loss_kernel_impl.h

@@ -0,0 +1,63 @@
+// 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.
+
+#pragma once
+
+#include "paddle/phi/kernels/funcs/eigen/common.h"
+#include "paddle/phi/kernels/funcs/eigen/eigen_function.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void HingeLossKernel(const Context& dev_ctx,
+                     const DenseTensor& logits,
+                     const DenseTensor& labels,
+                     DenseTensor* loss) {
+  auto* pred = &logits;
+  auto* label = &labels;
+
+  auto& place = *dev_ctx.eigen_device();
+
+  auto x = EigenVector<T>::Flatten(*pred);
+  auto y = EigenVector<T>::Flatten(*label);
+  dev_ctx.template Alloc<T>(loss);
+  auto l = EigenVector<T>::Flatten(*loss);
+  funcs::EigenHingeLoss<std::decay_t<decltype(place)>, T>::Eval(place, l, x, y);
+}
+
+template <typename T, typename Context>
+void HingeLossGradKernel(const Context& dev_ctx,
+                         const DenseTensor& logits,
+                         const DenseTensor& labels,
+                         const DenseTensor& loss_grad,
+                         DenseTensor* logits_grad) {
+  auto* pred = &logits;
+  auto* label = &labels;
+  auto* dloss = &loss_grad;
+  auto* dpred = logits_grad;
+  auto& place = *dev_ctx.eigen_device();
+
+  auto x = EigenVector<T>::Flatten(*pred);
+  auto y = EigenVector<T>::Flatten(*label);
+  auto dl = EigenVector<T>::Flatten(*dloss);
+
+  if (dpred) {
+    dev_ctx.template Alloc<T>(dpred);
+    auto dx = EigenVector<T>::Flatten(*dpred);
+    funcs::EigenHingeLossGrad<std::decay_t<decltype(place)>, T>::Eval(
+        place, dx, dl, x, y);
+  }
+}
+
+}  // namespace phi