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-rw-r--r--include/util/tensor/Shape.h84
1 files changed, 0 insertions, 84 deletions
diff --git a/include/util/tensor/Shape.h b/include/util/tensor/Shape.h
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--- a/include/util/tensor/Shape.h
+++ /dev/null
@@ -1,84 +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.
- */
-
-#ifndef __NNFW_UTIL_TENSOR_SHAPE_H__
-#define __NNFW_UTIL_TENSOR_SHAPE_H__
-
-#include <cstdint>
-#include <cstddef>
-#include <deque>
-#include <initializer_list>
-#include <ostream>
-#include <string>
-
-namespace nnfw
-{
-namespace util
-{
-namespace tensor
-{
-
-class Shape
-{
-public:
- Shape(size_t rank) { _dimensions.resize(rank); }
-
-public:
- Shape(const std::initializer_list<int32_t> &dimensions) : _dimensions{dimensions}
- {
- // DO NOTHING
- }
-
- Shape(const Shape &origin) = default;
-
-public:
- void prepend(int32_t d) { _dimensions.emplace_front(d); }
- void append(int32_t d) { _dimensions.emplace_back(d); }
-
-public:
- size_t rank(void) const { return _dimensions.size(); }
-
-public:
- int32_t dim(size_t n) const { return _dimensions.at(n); }
- int32_t &dim(size_t n) { return _dimensions.at(n); }
-
-public:
- size_t element_nums() const
- {
- size_t nums = 1;
- for (auto d : _dimensions)
- {
- nums *= d;
- }
- return nums;
- }
-
-private:
- std::deque<int32_t> _dimensions;
-
-public:
- static Shape from(const std::string &s);
-};
-
-bool operator==(const Shape &, const Shape &);
-
-std::ostream &operator<<(std::ostream &os, const Shape &shape);
-
-} // namespace tensor
-} // namespace util
-} // namespace nnfw
-
-#endif // __NNFW_UTIL_TENSOR_SHAPE_H__