1 files changed, 0 insertions, 94 deletions
diff --git a/runtimes/neurun/src/model/operand/Shape.cc b/runtimes/neurun/src/model/operand/Shape.cc
deleted file mode 100644
index f74c48d88..000000000
--- a/runtimes/neurun/src/model/operand/Shape.cc
+++ /dev/null
@@ -1,94 +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 <cassert>
-
-#include "Shape.h"
-
-namespace neurun
-{
-namespace model
-{
-namespace operand
-{
-
-Shape::Shape(uint32_t rank) { _dims.resize(rank); }
-
-int32_t Shape::asVector(void) const
-{
-  assert(rank() == 1);
-
-  return dim(0);
-}
-
-nnfw::misc::matrix::Shape Shape::asMatrix(void) const
-{
-  assert(rank() == 2);
-
-  const auto height = dim(0);
-  const auto width = dim(1);
-
-  return nnfw::misc::matrix::Shape(height, width);
-}
-
-nnfw::misc::feature::Shape Shape::asFeature(void) const
-{
-  assert(rank() == 4);
-
-  // Feature Map in NNAPI
-  //  - Dimension(0) -> Batch
-  //  - Dimension(1) -> Height
-  //  - Dimension(2) -> Width
-  //  - Dimension(3) -> Depth
-  const auto batch = dim(0);
-  const auto depth = dim(3);
-  const auto height = dim(1);
-  const auto width = dim(2);
-
-  return nnfw::misc::feature::Shape(batch, depth, height, width);
-}
-
-nnfw::misc::kernel::Shape Shape::asKernel(void) const
-{
-  assert(rank() == 4);
-
-  // Convolution Kernel in NNAPI
-  //  - Dimension(0) -> Count
-  //  - Dimension(1) -> Height
-  //  - Dimension(2) -> Width
-  //  - Dimension(3) -> Depth
-  const auto count = dim(0);
-  const auto depth = dim(3);
-  const auto height = dim(1);
-  const auto width = dim(2);
-
-  return nnfw::misc::kernel::Shape(count, depth, height, width);
-}
-
-nnfw::misc::tensor::Shape Shape::asTensor(void) const
-{
-  nnfw::misc::tensor::Shape shape{};
-  for (uint32_t i = 0; i < rank(); ++i)
-  {
-    shape.append(dim(i));
-  }
-
-  return shape; // this shape represents shape of NNAPI
-}
-
-} // namespace operand
-} // namespace model
-} // namespace neurun