diff options
Diffstat (limited to 'compiler/mir-onnx-importer/Op/ReduceMean.cpp')
-rw-r--r-- | compiler/mir-onnx-importer/Op/ReduceMean.cpp | 60 |
1 files changed, 60 insertions, 0 deletions
diff --git a/compiler/mir-onnx-importer/Op/ReduceMean.cpp b/compiler/mir-onnx-importer/Op/ReduceMean.cpp new file mode 100644 index 000000000..ec43bffb4 --- /dev/null +++ b/compiler/mir-onnx-importer/Op/ReduceMean.cpp @@ -0,0 +1,60 @@ +/* + * Copyright (c) 2019 Samsung Electronics Co., Ltd. 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 "ReduceMean.h" + +#include "ONNXHelpers.h" +#include "AttributeHelpers.h" + +#include "mir/ops/ReduceMeanOp.h" + +#include <numeric> + +namespace mir_onnx +{ + +void convertReduceMeanV1(const onnx::NodeProto &onnx_node, ConverterContext *context) +{ + const auto inputs = context->getNodeInputs(onnx_node); + assert(inputs.size() == 1); + + const auto axes = getAttributeValue<std::vector<std::int64_t>>(onnx_node, "axes"); + const auto keepdims = getAttributeValue<int64_t>(onnx_node, "keepdims", 1); + + std::vector<int32_t> reduce_dims; + if (axes.empty()) + { // reduce over all dimensions + reduce_dims.resize(inputs[0]->getShape().rank()); + std::iota(reduce_dims.begin(), reduce_dims.end(), 0); + } + else + { + auto rank = inputs[0]->getShape().rank(); + + std::transform(axes.begin(), axes.end(), std::back_inserter(reduce_dims), + [rank](int64_t axis) { return axis < 0 ? axis + rank : axis; }); + } + // Keep the reduced dimension or not, default 1 mean keep reduced dimension. + bool keep_dims = static_cast<bool>(keepdims); + + mir::Graph *graph = context->getGraph(); + auto result = + createOp<mir::ops::ReduceMeanOp>(graph, inputs[0], reduce_dims, keep_dims)->getOutput(0); + + context->setNodeOutputs(onnx_node, {result}); +} + +} // namespace mir_onnx |