cavis/libnd4j/include/array/impl/TadDescriptor.cpp

96 lines
3.3 KiB
C++
Raw Normal View History

2021-02-01 13:31:45 +01:00
/* ******************************************************************************
*
2019-06-06 14:21:15 +02:00
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
2021-02-01 13:31:45 +01:00
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership.
2019-06-06 14:21:15 +02:00
* 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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include <algorithm>
#include "../TadDescriptor.h"
namespace sd {
2019-06-06 14:21:15 +02:00
TadDescriptor::TadDescriptor(const TadDescriptor &other) {
_originalShape = other._originalShape;
_axis = other._axis;
_unitiesInShape = other._unitiesInShape;
}
TadDescriptor::TadDescriptor(const Nd4jLong *originalShape, const int *dimensions, const int length, const bool keepUnitiesInShape) {
ShapeDescriptor descriptor(originalShape);
_axis.resize(length);
for (int e = 0; e < length; e++)
_axis[e] = dimensions[e];
if (length > 1)
std::sort(_axis.begin(), _axis.end());
_originalShape = descriptor;
_unitiesInShape = keepUnitiesInShape;
}
TadDescriptor::TadDescriptor(const ShapeDescriptor &descriptor, const std::vector<int> &dimensions, const bool keepUnitiesInShape) {
_originalShape = descriptor;
_axis = dimensions;
_unitiesInShape = keepUnitiesInShape;
if (_axis.size() > 1)
std::sort(_axis.begin(), _axis.end());
}
bool TadDescriptor::operator==(const TadDescriptor &other) const {
return std::tie(_originalShape, _axis, _unitiesInShape) == std::tie(other._originalShape, other._axis, other._unitiesInShape);
}
bool TadDescriptor::operator<(const TadDescriptor &other) const {
return std::tie(_originalShape, _axis, _unitiesInShape) < std::tie(other._originalShape, other._axis, other._unitiesInShape);
}
std::vector<int>& TadDescriptor::axis() {
return _axis;
}
ShapeDescriptor& TadDescriptor::originalShape(){
return _originalShape;
}
ShapeDescriptor const& TadDescriptor::originalShapeConst() const{
2019-06-06 14:21:15 +02:00
return _originalShape;
}
bool TadDescriptor::areUnitiesinShape() const {
return _unitiesInShape;
}
}
namespace std {
size_t hash<sd::TadDescriptor>::operator()(const sd::TadDescriptor &k) const {
// Compute individual hash values for first,
// second and third and combine them using XOR
// and bit shifting:
auto res = std::hash<int>()((int)k.areUnitiesinShape());
res ^= std::hash<sd::ShapeDescriptor>()(k.originalShapeConst()) + 0x9e3779b9 + (res << 6) + (res >> 2);
auto axes = const_cast<sd::TadDescriptor&>(k).axis();
for (auto a: axes) {
res ^= std::hash<int>()(a) + 0x9e3779b9 + (res << 6) + (res >> 2);
}
return res;
}
2019-06-06 14:21:15 +02:00
}