1 files changed, 0 insertions, 78 deletions
diff --git a/runtimes/neurun/src/compiler/SubTensorAnalyzer.cc b/runtimes/neurun/src/compiler/SubTensorAnalyzer.cc
deleted file mode 100644
index 0851b7991..000000000
--- a/runtimes/neurun/src/compiler/SubTensorAnalyzer.cc
+++ /dev/null
@@ -1,78 +0,0 @@
-/*
- * Copyright (c) 2018 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 "SubTensorAnalyzer.h"
-
-#include <typeinfo>
-
-#include "cpp14/memory.h"
-#include "model/operand/Set.h"
-#include "graph/operation/LowerInfo.h"
-#include "util/logging.h"
-
-namespace neurun
-{
-namespace compiler
-{
-
-void SubTensorAnalyzer::visit(const model::operation::ConcatNode &node)
-{
-  //  If operator is concat (or other operators related with subsumption), fill subsumption info
-  //  TODO: if one tensor is subset of many parents or model input
-  //        Solution 1. Handle 1st parent only, ignore others (need to invert for other childrun)
-  //        Solution 2. Insert copy operation for other parents
-  auto axis_index = node.param().axis_index;
-
-  // To prepare concat elimination, axis should be constant
-  if (_ctx.at(axis_index).getUsage() != model::operand::OperandUsage::CONSTANT)
-  {
-    VERBOSE(SUBTENSOR) << "Cannot handle non-constant axis" << std::endl;
-    return;
-  }
-
-  // NOTE This implementation assumes concat over feature depth
-  // TODO Remove this assumption
-  int32_t axis = _ctx.at(axis_index).asScalar<int32_t>();
-  if (axis != 3)
-  {
-    VERBOSE(SUBTENSOR) << "Cannot handle axis is not channel" << std::endl;
-    return;
-  }
-
-  auto &output_index = node.getOutputs().at(0);
-  auto &inputs = node.getInputs();
-
-  int32_t axis_point = 0;
-  for (auto &input_index : inputs)
-  {
-    auto input_shape_4D = _ctx.at(input_index).lower_info()->shape();
-    std::vector<int32_t> offset = {0, 0, 0, 0};
-    offset[axis] = axis_point;
-    neurun::util::feature::Coordinate4D coordinate_info(offset[0], offset[1], offset[2], offset[3]);
-    std::unique_ptr<graph::operand::ParentInfo> parentInfo =
-        nnfw::cpp14::make_unique<graph::operand::ParentInfo>(output_index, coordinate_info);
-
-    // NOTD Not support multiple parent tensor yet
-    assert(_ctx.at(input_index).parent_info() == nullptr);
-    _ctx.at(input_index).parent_info(std::move(parentInfo));
-
-    // NOTE Only support when axis is 3(channel)
-    axis_point += input_shape_4D.c();
-  }
-}
-
-} // namespace compiler
-} // namespace neurun