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/*
* 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 "misc/tensor/Shape.h"
#include <cassert>
namespace nnfw
{
namespace misc
{
namespace tensor
{
bool operator==(const Shape &lhs, const Shape &rhs)
{
if (lhs.rank() != rhs.rank())
{
return false;
}
for (size_t axis = 0; axis < lhs.rank(); ++axis)
{
if (lhs.dim(axis) != rhs.dim(axis))
{
return false;
}
}
return true;
}
Shape Shape::from(const std::string &str)
{
Shape shape(0);
bool pending = false;
int value = 0;
for (const char *cur = str.c_str(); true; ++cur)
{
if (*cur == ',' || *cur == '\0')
{
if (pending)
{
shape.append(value);
}
if (*cur == '\0')
{
break;
}
pending = false;
value = 0;
continue;
}
assert(*cur >= '0' && *cur <= '9');
pending = true;
value *= 10;
value += *cur - '0';
}
return shape;
}
std::ostream &operator<<(std::ostream &os, const Shape &shape)
{
if (shape.rank() > 0)
{
os << shape.dim(0);
for (uint32_t axis = 1; axis < shape.rank(); ++axis)
{
os << "," << shape.dim(axis);
}
}
return os;
}
} // namespace tensor
} // namespace misc
} // namespace nnfw
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