2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
8 * http://www.apache.org/licenses/LICENSE-2.0
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
19 #include "kernels/Sum.h"
21 namespace luci_interpreter
24 std::unique_ptr<Kernel> build_kernel_CircleSum(const luci::CircleNode *circle_node,
25 KernelBuilderHelper &helper)
27 const auto *node = loco::must_cast<const luci::CircleSum *>(circle_node);
28 assert(node->arity() == 2);
30 const Tensor *input = helper.getInputTensor(node->input());
31 const Tensor *axes = helper.getInputTensor(node->reduction_indices());
32 Tensor *output = helper.getOutputTensor(node);
34 auto temp_index_unique =
35 std::make_unique<Tensor>(DataType::S32, Shape({}), AffineQuantization{}, "");
36 temp_index_unique->set_observable(false);
37 temp_index_unique->set_data_buffer(nullptr);
39 helper.getRuntimeGraph(node->graph())->addTensor(std::move(temp_index_unique));
41 auto resolved_axes_unique =
42 std::make_unique<Tensor>(DataType::S32, Shape({}), AffineQuantization{}, "");
43 resolved_axes_unique->set_observable(false);
44 resolved_axes_unique->set_data_buffer(nullptr);
45 Tensor *resolved_axes =
46 helper.getRuntimeGraph(node->graph())->addTensor(std::move(resolved_axes_unique));
48 ReducerParams params{};
49 params.keep_dims = node->keep_dims();
51 return std::make_unique<kernels::Sum>(input, axes, output, temp_index, resolved_axes, params);
54 } // namespace luci_interpreter