chore: import upstream snapshot with attribution

paddle/phi/kernels/amp_kernel.h

@@ -0,0 +1,48 @@
+// 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.
+
+#pragma once
+
+#include <vector>
+
+#include "paddle/phi/common/scalar.h"
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void CheckFiniteAndUnscaleKernel(const Context& dev_ctx,
+                                 const std::vector<const DenseTensor*>& xs,
+                                 const DenseTensor& scale,
+                                 std::vector<DenseTensor*> outs,
+                                 DenseTensor* found_infinite);
+
+template <typename T, typename Context>
+void UpdateLossScalingKernel(const Context& dev_ctx,
+                             const std::vector<const DenseTensor*>& xs,
+                             const DenseTensor& found_infinite,
+                             const DenseTensor& prev_loss_scaling,
+                             const DenseTensor& in_good_steps,
+                             const DenseTensor& in_bad_steps,
+                             int incr_every_n_steps,
+                             int decr_every_n_nan_or_inf,
+                             float incr_ratio,
+                             float decr_ratio,
+                             const Scalar& stop_update,
+                             std::vector<DenseTensor*> outs,
+                             DenseTensor* loss_scaling,
+                             DenseTensor* out_good_steps,
+                             DenseTensor* out_bad_steps);
+
+}  // namespace phi