chore: import upstream snapshot with attribution

paddle/phi/kernels/impl/fc_kernel_impl.h

@@ -0,0 +1,67 @@
+// 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.
+
+#pragma once
+
+#include <string>
+#include <vector>
+
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/kernels/funcs/common_shape.h"
+#include "paddle/phi/kernels/funcs/fc_functor.h"
+
+namespace phi {
+namespace fusion {
+template <typename T, typename Context>
+void FCKernel(const Context& dev_ctx,
+              const DenseTensor& input,
+              const DenseTensor& w,
+              const optional<DenseTensor>& bias,
+              const int in_num_col_dims,
+              const std::string& activation_type,
+              const bool padding_weights,
+              DenseTensor* out) {
+  bool with_relu = (activation_type == "relu") ? true : false;
+
+  auto w_dims = w.dims();
+
+  std::vector<int64_t> output_dims;
+  funcs::FCOutputSize(
+      input.dims(), w_dims, output_dims, in_num_col_dims, padding_weights);
+  out->Resize(output_dims);
+  out->set_lod(input.lod());
+
+  auto out_dims = out->dims();
+  auto w_dims0 = padding_weights ? w_dims[0] - 4 : w_dims[0];
+  auto w_dims1 = padding_weights ? w_dims[1] - 4 : w_dims[1];
+  int M = common::product(out_dims) / w_dims1;
+
+  const T* input_data = input.data<T>();
+  const T* w_data = w.data<T>();
+  auto* output_data = dev_ctx.template Alloc<T>(out, out->numel() * sizeof(T));
+
+  funcs::FCFunctor<Context, T> fc;
+  fc(dev_ctx,
+     M,
+     w_dims1,
+     w_dims0,
+     input_data,
+     w_data,
+     output_data,
+     bias ? bias->data<T>() : NULL,
+     with_relu,
+     padding_weights);
+}
+}  // namespace fusion
+}  // namespace phi