1 files changed, 139 insertions, 0 deletions
diff --git a/reference_model/src/ops/reduction.cc b/reference_model/src/ops/reduction.cc
new file mode 100644
index 0000000..a2adfdb
--- /dev/null
+++ b/reference_model/src/ops/reduction.cc
@@ -0,0 +1,139 @@
+
+// Copyright (c) 2020, ARM Limited.
+//
+//    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 "reduction.h"
+#include "quant_util.h"
+
+using namespace TosaReference;
+using namespace Eigen;
+using namespace tosa;
+
+template <int Rank, DType Dtype>
+ReduceNode<Rank, Dtype>::ReduceNode(const Op& op_, TosaAttributeBase* attribute_, uint64_t id_)
+    : GraphNode(op_, id_)
+{
+    setRequiredOperands(1, 1);
+    setRequiredRank(0, 4);
+
+    INIT_ATTRIBUTE(Axis);
+}
+
+template <int Rank, DType Dtype>
+ReduceNode<Rank, Dtype>::~ReduceNode()
+{
+    if (attribute)
+        delete attribute;
+}
+
+template <int Rank, DType Dtype>
+int ReduceNode<Rank, Dtype>::checkTensorAttributes()
+{
+    if (validateRequiredOperands())
+        return 1;
+
+    if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0]))
+    {
+        return 1;
+    }
+
+    if (attribute->axis() < 0 || attribute->axis() >= inputs[0]->getRank())
+    {
+        printNodeValidationError("Reduce axis must between [0, input_rank - 1]");
+        return 1;
+    }
+
+    if (inputs[0]->matchRank(*outputs[0]))
+    {
+        printNodeValidationError("Input and output tensor ranks must match");
+        return 1;
+    }
+
+    in  = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]);
+    out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]);
+
+    ASSERT_MEM(in && out);
+
+    dims[0] = this->attribute->axis();
+
+    return 0;
+}
+
+template <int Rank, DType Dtype>
+int OpReduceAll<Rank, Dtype>::eval()
+{
+    this->out->getTensor() = this->in->getTensor().all(this->dims).reshape(this->out->getTensor().dimensions());
+
+    return GraphNode::eval();
+}
+
+template <int Rank, DType Dtype>
+int OpReduceAny<Rank, Dtype>::eval()
+{
+    this->out->getTensor() = this->in->getTensor().any(this->dims).reshape(this->out->getTensor().dimensions());
+
+    return GraphNode::eval();
+}
+
+template <int Rank, DType Dtype>
+int OpReduceMax<Rank, Dtype>::eval()
+{
+    this->out->getTensor() = this->in->getTensor().maximum(this->dims).reshape(this->out->getTensor().dimensions());
+
+    return GraphNode::eval();
+}
+
+template <int Rank, DType Dtype>
+int OpReduceMin<Rank, Dtype>::eval()
+{
+    this->out->getTensor() = this->in->getTensor().minimum(this->dims).reshape(this->out->getTensor().dimensions());
+
+    return GraphNode::eval();
+}
+
+template <int Rank, DType Dtype>
+int OpReduceProduct<Rank, Dtype>::eval()
+{
+    this->out->getTensor() = this->in->getTensor().prod(this->dims).reshape(this->out->getTensor().dimensions());
+
+    return GraphNode::eval();
+}
+
+template <int Rank, DType Dtype>
+int OpReduceSum<Rank, Dtype>::eval()
+{
+    this->out->getTensor() = this->in->getTensor().sum(this->dims).reshape(this->out->getTensor().dimensions());
+
+    return GraphNode::eval();
+}
+
+// template explicit instantiation
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceAll, BOOL);
+
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceAny, BOOL);
+
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceMax, FLOAT);
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceMax, AINT8);
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceMax, INT16);
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceMax, INT32);
+
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceMin, FLOAT);
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceMin, AINT8);
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceMin, INT16);
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceMin, INT32);
+
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceProduct, FLOAT);
+
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceSum, FLOAT);
+DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReduceSum, INT32);