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* Copyright (c) 2020 NVIDIA Corporation.
* Copyright (c) 2018-2020 Chris Choy (chrischoy@ai.stanford.edu).
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
* IN THE SOFTWARE.
*
* Please cite "4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural
* Networks", CVPR'19 (https://arxiv.org/abs/1904.08755) if you use any part
* of the code.
*/
#ifndef COORDINATE_MAP_KEY_HPP
#define COORDINATE_MAP_KEY_HPP
#include "types.hpp"
#include "utils.hpp"
#include <vector>
#include <pybind11/pybind11.h>
namespace minkowski {
/*
* Will be exported to python for lazy key initialization. For
* instance, `sparse_tensor.coords_key` can be used for other layers
* before feedforward
*/
class CoordinateMapKey {
public:
// clang-format off
using self_type = CoordinateMapKey;
using size_type = default_types::size_type;
using stride_type = default_types::stride_type;
using hash_key_type = default_types::coordinate_map_hash_type;
// clang-format on
public:
CoordinateMapKey() = delete;
CoordinateMapKey(size_type coordinate_size)
: m_key_set(false), m_coordinate_size{coordinate_size} {}
CoordinateMapKey(CoordinateMapKey const &other)
: m_key_set(other.m_key_set), m_coordinate_size{other.m_coordinate_size},
m_key(other.m_key) {}
CoordinateMapKey(size_type coordinate_size,
coordinate_map_key_type const &key)
: m_key_set(true), m_coordinate_size{coordinate_size}, m_key(key) {
ASSERT(coordinate_size - 1 == m_key.first.size(),
"Invalid tensor_stride:", m_key.first,
"coordinate_size:", m_coordinate_size);
}
CoordinateMapKey(stride_type tensor_stride, std::string string_id = "")
: m_coordinate_size(tensor_stride.size() + 1), m_key{std::make_pair(
tensor_stride,
string_id)} {
// valid tensor stride if the coordinate_size match
m_key = std::make_pair(tensor_stride, string_id);
m_key_set = true;
}
// coordinate_size functions
size_type get_coordinate_size() const { return m_coordinate_size; }
// key functions
void set_key(stride_type tensor_stride, std::string string_id) {
ASSERT(m_coordinate_size - 1 == tensor_stride.size(),
"Invalid tensor_stride size:", tensor_stride,
"coordinate_size:", m_coordinate_size);
m_key = std::make_pair(tensor_stride, string_id);
m_key_set = true;
}
void set_key(coordinate_map_key_type const &key) {
ASSERT(m_coordinate_size - 1 == key.first.size(),
"Invalid tensor_stride size:", key.first,
"coordinate_size:", m_coordinate_size);
LOG_DEBUG("Setting the key to ", key.first, ":", key.second);
m_key = key;
m_key_set = true;
}
coordinate_map_key_type get_key() const {
ASSERT(is_key_set(), "Key not set");
return m_key;
}
hash_key_type hash() const { return coordinate_map_key_hasher{}(m_key); }
bool is_key_set() const noexcept { return m_key_set; }
/*
void stride(stride_type const &strides) {
ASSERT(m_tensor_stride_set, "You must set the tensor strides first.");
ASSERT(m_dimension - 1 == strides.size(), "The size of strides: ", strides,
"does not match the dimension of the CoordinateMapKey coordinate "
"system:",
std::to_string(get_dimension()), ".");
for (size_type i = 0; i < m_dimension - 1; ++i)
m_tensor_strides[i] *= strides[i];
}
void up_stride(stride_type const &strides) {
ASSERT(m_tensor_stride_set, "You must set the tensor strides first.");
ASSERT(m_tensor_strides.size() == strides.size(),
"The size of the strides: ", strides,
" does not match the size of the CoordinateMapKey tensor_strides: ",
m_tensor_strides, ".");
for (size_type i = 0; i < m_dimension - 1; ++i) {
ASSERT(m_tensor_strides[i] % strides[i] == 0,
"The output tensor stride is not divisible by ",
"up_strides. tensor stride:", m_tensor_strides,
", up_strides:", strides, ".");
m_tensor_strides[i] /= strides[i];
}
}*/
stride_type get_tensor_stride() const { return m_key.first; }
bool operator==(CoordinateMapKey const &key) const {
if (!m_key_set || !key.m_key_set)
return false;
return m_key == key.m_key;
}
// misc functions
std::string to_string() const {
Formatter out;
out << "coordinate map key:" << m_key.first;
if (m_key.second.length() > 0)
out << ":" << m_key.second;
return out;
}
private:
bool m_key_set;
size_type m_coordinate_size;
coordinate_map_key_type m_key;
}; // CoordinateMapKey
} // namespace minkowski
#endif // COORDINATE_MAP_KEY_HPP
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