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author | Hyeongseok Oh <hseok82.oh@samsung.com> | 2023-04-12 15:42:02 +0900 |
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committer | Hyeongseok Oh <hseok82.oh@samsung.com> | 2023-04-12 15:42:02 +0900 |
commit | 323663bb115ef625642391a5a8e9b35fee8b2ae3 (patch) | |
tree | 17e2a6b91535e6f53f4cacda5e4db6aa0303dd22 /onert-micro/luci-interpreter/src/kernels/LogicalOr.cpp | |
parent | c690d52bdd137ed6a17353aa7af35e8141ece77b (diff) | |
download | nnfw-323663bb115ef625642391a5a8e9b35fee8b2ae3.tar.gz nnfw-323663bb115ef625642391a5a8e9b35fee8b2ae3.tar.bz2 nnfw-323663bb115ef625642391a5a8e9b35fee8b2ae3.zip |
Imported Upstream version 1.22.0upstream/1.22.0
Diffstat (limited to 'onert-micro/luci-interpreter/src/kernels/LogicalOr.cpp')
-rw-r--r-- | onert-micro/luci-interpreter/src/kernels/LogicalOr.cpp | 50 |
1 files changed, 50 insertions, 0 deletions
diff --git a/onert-micro/luci-interpreter/src/kernels/LogicalOr.cpp b/onert-micro/luci-interpreter/src/kernels/LogicalOr.cpp new file mode 100644 index 000000000..ecb8ee49b --- /dev/null +++ b/onert-micro/luci-interpreter/src/kernels/LogicalOr.cpp @@ -0,0 +1,50 @@ +/* + * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved + * Copyright 2019 The TensorFlow 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 "kernels/LogicalOr.h" + +#include "kernels/Utils.h" +#include "kernels/BinaryOpCommon.h" + +namespace luci_interpreter +{ +namespace kernels +{ + +LogicalOr::LogicalOr(const Tensor *input1, const Tensor *input2, Tensor *output) + : Kernel({input1, input2}, {output}) +{ +} + +void LogicalOr::configure() +{ + LUCI_INTERPRETER_CHECK(input1()->element_type() == input2()->element_type()); + LUCI_INTERPRETER_CHECK(input1()->element_type() == DataType::BOOL); + // TODO: enable it only if kernel with dynamic shapes + output()->resize(calculateShapeForBroadcast(input1()->shape(), input2()->shape())); +} + +void LogicalOr::execute() const +{ + BinaryOpBroadcastSlow(getTensorShape(input1()), getTensorData<bool>(input1()), + getTensorShape(input2()), getTensorData<bool>(input2()), + getTensorShape(output()), getTensorData<bool>(output()), + [](bool x, bool y) { return x || y; }); +} + +} // namespace kernels +} // namespace luci_interpreter |