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lammps/lib/kokkos/containers/src/Kokkos_UnorderedMap.hpp

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/*
//@HEADER
// ************************************************************************
//
// Kokkos: Manycore Performance-Portable Multidimensional Arrays
// Copyright (2012) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact H. Carter Edwards (hcedwar@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
/// \file Kokkos_UnorderedMap.hpp
/// \brief Declaration and definition of Kokkos::UnorderedMap.
///
/// This header file declares and defines Kokkos::UnorderedMap and its
/// related nonmember functions.
#ifndef KOKKOS_UNORDERED_MAP_HPP
#define KOKKOS_UNORDERED_MAP_HPP
#include <Kokkos_Core.hpp>
#include <Kokkos_Functional.hpp>
#include <Kokkos_Bitset.hpp>
#include <impl/Kokkos_Traits.hpp>
#include <impl/Kokkos_UnorderedMap_impl.hpp>
#include <iostream>
#include <stdint.h>
#include <stdexcept>
namespace Kokkos {
enum { UnorderedMapInvalidIndex = ~0u };
/// \brief First element of the return value of UnorderedMap::insert().
///
/// Inserting an element into an UnorderedMap is not guaranteed to
/// succeed. There are three possible conditions:
/// <ol>
/// <li> <tt>INSERT_FAILED</tt>: The insert failed. This usually
/// means that the UnorderedMap ran out of space. </li>
/// <li> <tt>INSERT_SUCCESS</tt>: The insert succeeded, and the key
/// did <i>not</i> exist in the table before. </li>
/// <li> <tt>INSERT_EXISTING</tt>: The insert succeeded, and the key
/// <i>did</i> exist in the table before. The new value was
/// ignored and the old value was left in place. </li>
/// </ol>
class UnorderedMapInsertResult
{
private:
enum Status{
SUCCESS = 1u << 31
, EXISTING = 1u << 30
, FREED_EXISTING = 1u << 29
, LIST_LENGTH_MASK = ~(SUCCESS | EXISTING | FREED_EXISTING)
};
public:
/// Did the map successful insert the key/value pair
KOKKOS_FORCEINLINE_FUNCTION
bool success() const { return (m_status & SUCCESS); }
/// Was the key already present in the map
KOKKOS_FORCEINLINE_FUNCTION
bool existing() const { return (m_status & EXISTING); }
/// Did the map fail to insert the key due to insufficent capacity
KOKKOS_FORCEINLINE_FUNCTION
bool failed() const { return m_index == UnorderedMapInvalidIndex; }
/// Did the map lose a race condition to insert a dupulicate key/value pair
/// where an index was claimed that needed to be released
KOKKOS_FORCEINLINE_FUNCTION
bool freed_existing() const { return (m_status & FREED_EXISTING); }
/// How many iterations through the insert loop did it take before the
/// map returned
KOKKOS_FORCEINLINE_FUNCTION
uint32_t list_position() const { return (m_status & LIST_LENGTH_MASK); }
/// Index where the key can be found as long as the insert did not fail
KOKKOS_FORCEINLINE_FUNCTION
uint32_t index() const { return m_index; }
KOKKOS_FORCEINLINE_FUNCTION
UnorderedMapInsertResult()
: m_index(UnorderedMapInvalidIndex)
, m_status(0)
{}
KOKKOS_FORCEINLINE_FUNCTION
void increment_list_position()
{
m_status += (list_position() < LIST_LENGTH_MASK) ? 1u : 0u;
}
KOKKOS_FORCEINLINE_FUNCTION
void set_existing(uint32_t i, bool arg_freed_existing)
{
m_index = i;
m_status = EXISTING | (arg_freed_existing ? FREED_EXISTING : 0u) | list_position();
}
KOKKOS_FORCEINLINE_FUNCTION
void set_success(uint32_t i)
{
m_index = i;
m_status = SUCCESS | list_position();
}
private:
uint32_t m_index;
uint32_t m_status;
};
/// \class UnorderedMap
/// \brief Thread-safe, performance-portable lookup table.
///
/// This class provides a lookup table. In terms of functionality,
/// this class compares to std::unordered_map (new in C++11).
/// "Unordered" means that keys are not stored in any particular
/// order, unlike (for example) std::map. "Thread-safe" means that
/// lookups, insertion, and deletion are safe to call by multiple
/// threads in parallel. "Performance-portable" means that parallel
/// performance of these operations is reasonable, on multiple
/// hardware platforms. Platforms on which performance has been
/// tested include conventional Intel x86 multicore processors, Intel
/// Xeon Phi ("MIC"), and NVIDIA GPUs.
///
/// Parallel performance portability entails design decisions that
/// might differ from one's expectation for a sequential interface.
/// This particularly affects insertion of single elements. In an
/// interface intended for sequential use, insertion might reallocate
/// memory if the original allocation did not suffice to hold the new
/// element. In this class, insertion does <i>not</i> reallocate
/// memory. This means that it might fail. insert() returns an enum
/// which indicates whether the insert failed. There are three
/// possible conditions:
/// <ol>
/// <li> <tt>INSERT_FAILED</tt>: The insert failed. This usually
/// means that the UnorderedMap ran out of space. </li>
/// <li> <tt>INSERT_SUCCESS</tt>: The insert succeeded, and the key
/// did <i>not</i> exist in the table before. </li>
/// <li> <tt>INSERT_EXISTING</tt>: The insert succeeded, and the key
/// <i>did</i> exist in the table before. The new value was
/// ignored and the old value was left in place. </li>
/// </ol>
///
/// \tparam Key Type of keys of the lookup table. If \c const, users
/// are not allowed to add or remove keys, though they are allowed
/// to change values. In that case, the implementation may make
/// optimizations specific to the <tt>Device</tt>. For example, if
/// <tt>Device</tt> is \c Cuda, it may use texture fetches to access
/// keys.
///
/// \tparam Value Type of values stored in the lookup table. You may use
/// \c void here, in which case the table will be a set of keys. If
/// \c const, users are not allowed to change entries.
/// In that case, the implementation may make
/// optimizations specific to the \c Device, such as using texture
/// fetches to access values.
///
/// \tparam Device The Kokkos Device type.
///
/// \tparam Hasher Definition of the hash function for instances of
/// <tt>Key</tt>. The default will calculate a bitwise hash.
///
/// \tparam EqualTo Definition of the equality function for instances of
/// <tt>Key</tt>. The default will do a bitwise equality comparison.
///
template < typename Key
, typename Value
, typename Device = Kokkos::DefaultExecutionSpace
, typename Hasher = pod_hash<typename Impl::remove_const<Key>::type>
, typename EqualTo = pod_equal_to<typename Impl::remove_const<Key>::type>
>
class UnorderedMap
{
private:
typedef typename ViewTraits<Key,Device,void,void>::host_mirror_space host_mirror_space ;
public:
//! \name Public types and constants
//@{
//key_types
typedef Key declared_key_type;
typedef typename Impl::remove_const<declared_key_type>::type key_type;
typedef typename Impl::add_const<key_type>::type const_key_type;
//value_types
typedef Value declared_value_type;
typedef typename Impl::remove_const<declared_value_type>::type value_type;
typedef typename Impl::add_const<value_type>::type const_value_type;
typedef Device device_type;
typedef Hasher hasher_type;
typedef EqualTo equal_to_type;
typedef uint32_t size_type;
//map_types
typedef UnorderedMap<declared_key_type,declared_value_type,device_type,hasher_type,equal_to_type> declared_map_type;
typedef UnorderedMap<key_type,value_type,device_type,hasher_type,equal_to_type> insertable_map_type;
typedef UnorderedMap<const_key_type,value_type,device_type,hasher_type,equal_to_type> modifiable_map_type;
typedef UnorderedMap<const_key_type,const_value_type,device_type,hasher_type,equal_to_type> const_map_type;
static const bool is_set = Impl::is_same<void,value_type>::value;
static const bool has_const_key = Impl::is_same<const_key_type,declared_key_type>::value;
static const bool has_const_value = is_set || Impl::is_same<const_value_type,declared_value_type>::value;
static const bool is_insertable_map = !has_const_key && (is_set || !has_const_value);
static const bool is_modifiable_map = has_const_key && !has_const_value;
static const bool is_const_map = has_const_key && has_const_value;
typedef UnorderedMapInsertResult insert_result;
typedef UnorderedMap<Key,Value,host_mirror_space,Hasher,EqualTo> HostMirror;
typedef Impl::UnorderedMapHistogram<const_map_type> histogram_type;
//@}
private:
enum { invalid_index = ~static_cast<size_type>(0) };
typedef typename Impl::if_c< is_set, int, declared_value_type>::type impl_value_type;
typedef typename Impl::if_c< is_insertable_map
, View< key_type *, device_type>
, View< const key_type *, device_type, MemoryTraits<RandomAccess> >
>::type key_type_view;
typedef typename Impl::if_c< is_insertable_map || is_modifiable_map
, View< impl_value_type *, device_type>
, View< const impl_value_type *, device_type, MemoryTraits<RandomAccess> >
>::type value_type_view;
typedef typename Impl::if_c< is_insertable_map
, View< size_type *, device_type>
, View< const size_type *, device_type, MemoryTraits<RandomAccess> >
>::type size_type_view;
typedef typename Impl::if_c< is_insertable_map
, Bitset< device_type >
, ConstBitset< device_type>
>::type bitset_type;
enum { modified_idx = 0, erasable_idx = 1, failed_insert_idx = 2 };
enum { num_scalars = 3 };
typedef View< int[num_scalars], LayoutLeft, device_type> scalars_view;
public:
//! \name Public member functions
//@{
UnorderedMap()
: m_bounded_insert()
, m_hasher()
, m_equal_to()
, m_size()
, m_available_indexes()
, m_hash_lists()
, m_next_index()
, m_keys()
, m_values()
, m_scalars()
{}
/// \brief Constructor
///
/// \param capacity_hint [in] Initial guess of how many unique keys will be inserted into the map
/// \param hash [in] Hasher function for \c Key instances. The
/// default value usually suffices.
UnorderedMap( size_type capacity_hint, hasher_type hasher = hasher_type(), equal_to_type equal_to = equal_to_type() )
: m_bounded_insert(true)
, m_hasher(hasher)
, m_equal_to(equal_to)
, m_size()
, m_available_indexes(calculate_capacity(capacity_hint))
, m_hash_lists(ViewAllocateWithoutInitializing("UnorderedMap hash list"), Impl::find_hash_size(capacity()))
, m_next_index(ViewAllocateWithoutInitializing("UnorderedMap next index"), capacity()+1) // +1 so that the *_at functions can always return a valid reference
, m_keys("UnorderedMap keys",capacity()+1)
, m_values("UnorderedMap values",(is_set? 1 : capacity()+1))
, m_scalars("UnorderedMap scalars")
{
if (!is_insertable_map) {
throw std::runtime_error("Cannot construct a non-insertable (i.e. const key_type) unordered_map");
}
Kokkos::deep_copy(m_hash_lists, invalid_index);
Kokkos::deep_copy(m_next_index, invalid_index);
}
void reset_failed_insert_flag()
{
reset_flag(failed_insert_idx);
}
histogram_type get_histogram()
{
return histogram_type(*this);
}
//! Clear all entries in the table.
void clear()
{
m_bounded_insert = true;
if (capacity() == 0) return;
m_available_indexes.clear();
Kokkos::deep_copy(m_hash_lists, invalid_index);
Kokkos::deep_copy(m_next_index, invalid_index);
{
const key_type tmp = key_type();
Kokkos::deep_copy(m_keys,tmp);
}
if (is_set){
const impl_value_type tmp = impl_value_type();
Kokkos::deep_copy(m_values,tmp);
}
{
Kokkos::deep_copy(m_scalars, 0);
}
}
/// \brief Change the capacity of the the map
///
/// If there are no failed inserts the current size of the map will
/// be used as a lower bound for the input capacity.
/// If the map is not empty and does not have failed inserts
/// and the capacity changes then the current data is copied
/// into the resized / rehashed map.
///
/// This is <i>not</i> a device function; it may <i>not</i> be
/// called in a parallel kernel.
bool rehash(size_type requested_capacity = 0)
{
const bool bounded_insert = (capacity() == 0) || (size() == 0u);
return rehash(requested_capacity, bounded_insert );
}
bool rehash(size_type requested_capacity, bool bounded_insert)
{
if(!is_insertable_map) return false;
const size_type curr_size = size();
requested_capacity = (requested_capacity < curr_size) ? curr_size : requested_capacity;
insertable_map_type tmp(requested_capacity, m_hasher, m_equal_to);
if (curr_size) {
tmp.m_bounded_insert = false;
Impl::UnorderedMapRehash<insertable_map_type> f(tmp,*this);
f.apply();
}
tmp.m_bounded_insert = bounded_insert;
*this = tmp;
return true;
}
/// \brief The number of entries in the table.
///
/// This method has undefined behavior when erasable() is true.
///
/// Note that this is not a device function; it cannot be called in
/// a parallel kernel. The value is not stored as a variable; it
/// must be computed.
size_type size() const
{
if( capacity() == 0u ) return 0u;
if (modified()) {
m_size = m_available_indexes.count();
reset_flag(modified_idx);
}
return m_size;
}
/// \brief The current number of failed insert() calls.
///
/// This is <i>not</i> a device function; it may <i>not</i> be
/// called in a parallel kernel. The value is not stored as a
/// variable; it must be computed.
bool failed_insert() const
{
return get_flag(failed_insert_idx);
}
bool erasable() const
{
return is_insertable_map ? get_flag(erasable_idx) : false;
}
bool begin_erase()
{
bool result = !erasable();
if (is_insertable_map && result) {
device_type::fence();
set_flag(erasable_idx);
device_type::fence();
}
return result;
}
bool end_erase()
{
bool result = erasable();
if (is_insertable_map && result) {
device_type::fence();
Impl::UnorderedMapErase<declared_map_type> f(*this);
f.apply();
device_type::fence();
reset_flag(erasable_idx);
}
return result;
}
/// \brief The maximum number of entries that the table can hold.
///
/// This <i>is</i> a device function; it may be called in a parallel
/// kernel.
KOKKOS_FORCEINLINE_FUNCTION
size_type capacity() const
{ return m_available_indexes.size(); }
/// \brief The number of hash table "buckets."
///
/// This is different than the number of entries that the table can
/// hold. Each key hashes to an index in [0, hash_capacity() - 1].
/// That index can hold zero or more entries. This class decides
/// what hash_capacity() should be, given the user's upper bound on
/// the number of entries the table must be able to hold.
///
/// This <i>is</i> a device function; it may be called in a parallel
/// kernel.
KOKKOS_INLINE_FUNCTION
size_type hash_capacity() const
{ return m_hash_lists.size(); }
//---------------------------------------------------------------------------
//---------------------------------------------------------------------------
/// This <i>is</i> a device function; it may be called in a parallel
/// kernel. As discussed in the class documentation, it need not
/// succeed. The return value tells you if it did.
///
/// \param k [in] The key to attempt to insert.
/// \param v [in] The corresponding value to attempt to insert. If
/// using this class as a set (with Value = void), then you need not
/// provide this value.
KOKKOS_INLINE_FUNCTION
insert_result insert(key_type const& k, impl_value_type const&v = impl_value_type()) const
{
insert_result result;
if ( !is_insertable_map || capacity() == 0u || m_scalars((int)erasable_idx) ) {
return result;
}
if ( !m_scalars((int)modified_idx) ) {
m_scalars((int)modified_idx) = true;
}
int volatile & failed_insert_ref = m_scalars((int)failed_insert_idx) ;
const size_type hash_value = m_hasher(k);
const size_type hash_list = hash_value % m_hash_lists.size();
size_type * curr_ptr = & m_hash_lists[ hash_list ];
size_type new_index = invalid_index ;
// Force integer multiply to long
size_type index_hint = static_cast<size_type>( (static_cast<double>(hash_list) * capacity()) / m_hash_lists.size());
size_type find_attempts = 0;
enum { bounded_find_attempts = 32u };
const size_type max_attempts = (m_bounded_insert && (bounded_find_attempts < m_available_indexes.max_hint()) ) ?
bounded_find_attempts :
m_available_indexes.max_hint();
bool not_done = true ;
#if defined( __MIC__ )
#pragma noprefetch
#endif
while ( not_done ) {
// Continue searching the unordered list for this key,
// list will only be appended during insert phase.
// Need volatile_load as other threads may be appending.
size_type curr = volatile_load(curr_ptr);
KOKKOS_NONTEMPORAL_PREFETCH_LOAD(&m_keys[curr != invalid_index ? curr : 0]);
#if defined( __MIC__ )
#pragma noprefetch
#endif
while ( curr != invalid_index && ! m_equal_to( volatile_load(&m_keys[curr]), k) ) {
result.increment_list_position();
index_hint = curr;
curr_ptr = &m_next_index[curr];
curr = volatile_load(curr_ptr);
KOKKOS_NONTEMPORAL_PREFETCH_LOAD(&m_keys[curr != invalid_index ? curr : 0]);
}
//------------------------------------------------------------
// If key already present then return that index.
if ( curr != invalid_index ) {
const bool free_existing = new_index != invalid_index;
if ( free_existing ) {
// Previously claimed an unused entry that was not inserted.
// Release this unused entry immediately.
if (!m_available_indexes.reset(new_index) ) {
printf("Unable to free existing\n");
}
}
result.set_existing(curr, free_existing);
not_done = false ;
}
//------------------------------------------------------------
// Key is not currently in the map.
// If the thread has claimed an entry try to insert now.
else {
//------------------------------------------------------------
// If have not already claimed an unused entry then do so now.
if (new_index == invalid_index) {
bool found = false;
// use the hash_list as the flag for the search direction
Kokkos::tie(found, index_hint) = m_available_indexes.find_any_unset_near( index_hint, hash_list );
// found and index and this thread set it
if ( !found && ++find_attempts >= max_attempts ) {
failed_insert_ref = true;
not_done = false ;
}
else if (m_available_indexes.set(index_hint) ) {
new_index = index_hint;
// Set key and value
KOKKOS_NONTEMPORAL_PREFETCH_STORE(&m_keys[new_index]);
m_keys[new_index] = k ;
if (!is_set) {
KOKKOS_NONTEMPORAL_PREFETCH_STORE(&m_values[new_index]);
m_values[new_index] = v ;
}
// Do not proceed until key and value are updated in global memory
memory_fence();
}
}
else if (failed_insert_ref) {
not_done = false;
}
// Attempt to append claimed entry into the list.
// Another thread may also be trying to append the same list so protect with atomic.
if ( new_index != invalid_index &&
curr == atomic_compare_exchange(curr_ptr, static_cast<size_type>(invalid_index), new_index) ) {
// Succeeded in appending
result.set_success(new_index);
not_done = false ;
}
}
} // while ( not_done )
return result ;
}
KOKKOS_INLINE_FUNCTION
bool erase(key_type const& k) const
{
bool result = false;
if(is_insertable_map && 0u < capacity() && m_scalars((int)erasable_idx)) {
if ( ! m_scalars((int)modified_idx) ) {
m_scalars((int)modified_idx) = true;
}
size_type index = find(k);
if (valid_at(index)) {
m_available_indexes.reset(index);
result = true;
}
}
return result;
}
/// \brief Find the given key \c k, if it exists in the table.
///
/// \return If the key exists in the table, the index of the
/// value corresponding to that key; otherwise, an invalid index.
///
/// This <i>is</i> a device function; it may be called in a parallel
/// kernel.
KOKKOS_INLINE_FUNCTION
size_type find( const key_type & k) const
{
size_type curr = 0u < capacity() ? m_hash_lists( m_hasher(k) % m_hash_lists.size() ) : invalid_index ;
KOKKOS_NONTEMPORAL_PREFETCH_LOAD(&m_keys[curr != invalid_index ? curr : 0]);
while (curr != invalid_index && !m_equal_to( m_keys[curr], k) ) {
KOKKOS_NONTEMPORAL_PREFETCH_LOAD(&m_keys[curr != invalid_index ? curr : 0]);
curr = m_next_index[curr];
}
return curr;
}
/// \brief Does the key exist in the map
///
/// This <i>is</i> a device function; it may be called in a parallel
/// kernel.
KOKKOS_INLINE_FUNCTION
bool exists( const key_type & k) const
{
return valid_at(find(k));
}
/// \brief Get the value with \c i as its direct index.
///
/// \param i [in] Index directly into the array of entries.
///
/// This <i>is</i> a device function; it may be called in a parallel
/// kernel.
///
/// 'const value_type' via Cuda texture fetch must return by value.
KOKKOS_FORCEINLINE_FUNCTION
typename Impl::if_c< (is_set || has_const_value), impl_value_type, impl_value_type &>::type
value_at(size_type i) const
{
return m_values[ is_set ? 0 : (i < capacity() ? i : capacity()) ];
}
/// \brief Get the key with \c i as its direct index.
///
/// \param i [in] Index directly into the array of entries.
///
/// This <i>is</i> a device function; it may be called in a parallel
/// kernel.
KOKKOS_FORCEINLINE_FUNCTION
key_type key_at(size_type i) const
{
return m_keys[ i < capacity() ? i : capacity() ];
}
KOKKOS_FORCEINLINE_FUNCTION
bool valid_at(size_type i) const
{
return m_available_indexes.test(i);
}
template <typename SKey, typename SValue>
UnorderedMap( UnorderedMap<SKey,SValue,Device,Hasher,EqualTo> const& src,
typename Impl::enable_if< Impl::UnorderedMapCanAssign<declared_key_type,declared_value_type,SKey,SValue>::value,int>::type = 0
)
: m_bounded_insert(src.m_bounded_insert)
, m_hasher(src.m_hasher)
, m_equal_to(src.m_equal_to)
, m_size(src.m_size)
, m_available_indexes(src.m_available_indexes)
, m_hash_lists(src.m_hash_lists)
, m_next_index(src.m_next_index)
, m_keys(src.m_keys)
, m_values(src.m_values)
, m_scalars(src.m_scalars)
{}
template <typename SKey, typename SValue>
typename Impl::enable_if< Impl::UnorderedMapCanAssign<declared_key_type,declared_value_type,SKey,SValue>::value
,declared_map_type & >::type
operator=( UnorderedMap<SKey,SValue,Device,Hasher,EqualTo> const& src)
{
m_bounded_insert = src.m_bounded_insert;
m_hasher = src.m_hasher;
m_equal_to = src.m_equal_to;
m_size = src.m_size;
m_available_indexes = src.m_available_indexes;
m_hash_lists = src.m_hash_lists;
m_next_index = src.m_next_index;
m_keys = src.m_keys;
m_values = src.m_values;
m_scalars = src.m_scalars;
return *this;
}
template <typename SKey, typename SValue, typename SDevice>
typename Impl::enable_if< Impl::is_same< typename Impl::remove_const<SKey>::type, key_type>::value &&
Impl::is_same< typename Impl::remove_const<SValue>::type, value_type>::value
>::type
create_copy_view( UnorderedMap<SKey, SValue, SDevice, Hasher,EqualTo> const& src)
{
if (m_hash_lists.ptr_on_device() != src.m_hash_lists.ptr_on_device()) {
insertable_map_type tmp;
tmp.m_bounded_insert = src.m_bounded_insert;
tmp.m_hasher = src.m_hasher;
tmp.m_equal_to = src.m_equal_to;
tmp.m_size = src.size();
tmp.m_available_indexes = bitset_type( src.capacity() );
tmp.m_hash_lists = size_type_view( ViewAllocateWithoutInitializing("UnorderedMap hash list"), src.m_hash_lists.size() );
tmp.m_next_index = size_type_view( ViewAllocateWithoutInitializing("UnorderedMap next index"), src.m_next_index.size() );
tmp.m_keys = key_type_view( ViewAllocateWithoutInitializing("UnorderedMap keys"), src.m_keys.size() );
tmp.m_values = value_type_view( ViewAllocateWithoutInitializing("UnorderedMap values"), src.m_values.size() );
tmp.m_scalars = scalars_view("UnorderedMap scalars");
Kokkos::deep_copy(tmp.m_available_indexes, src.m_available_indexes);
typedef Kokkos::Impl::DeepCopy< typename device_type::memory_space, typename SDevice::memory_space > raw_deep_copy;
raw_deep_copy(tmp.m_hash_lists.ptr_on_device(), src.m_hash_lists.ptr_on_device(), sizeof(size_type)*src.m_hash_lists.size());
raw_deep_copy(tmp.m_next_index.ptr_on_device(), src.m_next_index.ptr_on_device(), sizeof(size_type)*src.m_next_index.size());
raw_deep_copy(tmp.m_keys.ptr_on_device(), src.m_keys.ptr_on_device(), sizeof(key_type)*src.m_keys.size());
if (!is_set) {
raw_deep_copy(tmp.m_values.ptr_on_device(), src.m_values.ptr_on_device(), sizeof(impl_value_type)*src.m_values.size());
}
raw_deep_copy(tmp.m_scalars.ptr_on_device(), src.m_scalars.ptr_on_device(), sizeof(int)*num_scalars );
*this = tmp;
}
}
//@}
private: // private member functions
bool modified() const
{
return get_flag(modified_idx);
}
void set_flag(int flag) const
{
typedef Kokkos::Impl::DeepCopy< typename device_type::memory_space, Kokkos::HostSpace > raw_deep_copy;
const int true_ = true;
raw_deep_copy(m_scalars.ptr_on_device() + flag, &true_, sizeof(int));
}
void reset_flag(int flag) const
{
typedef Kokkos::Impl::DeepCopy< typename device_type::memory_space, Kokkos::HostSpace > raw_deep_copy;
const int false_ = false;
raw_deep_copy(m_scalars.ptr_on_device() + flag, &false_, sizeof(int));
}
bool get_flag(int flag) const
{
typedef Kokkos::Impl::DeepCopy< Kokkos::HostSpace, typename device_type::memory_space > raw_deep_copy;
int result = false;
raw_deep_copy(&result, m_scalars.ptr_on_device() + flag, sizeof(int));
return result;
}
static uint32_t calculate_capacity(uint32_t capacity_hint)
{
// increase by 16% and round to nears multiple of 128
return capacity_hint ? ((static_cast<uint32_t>(7ull*capacity_hint/6u) + 127u)/128u)*128u : 128u;
}
private: // private members
bool m_bounded_insert;
hasher_type m_hasher;
equal_to_type m_equal_to;
mutable size_type m_size;
bitset_type m_available_indexes;
size_type_view m_hash_lists;
size_type_view m_next_index;
key_type_view m_keys;
value_type_view m_values;
scalars_view m_scalars;
template <typename KKey, typename VValue, typename DDevice, typename HHash, typename EEqualTo>
friend class UnorderedMap;
template <typename UMap>
friend struct Impl::UnorderedMapErase;
template <typename UMap>
friend struct Impl::UnorderedMapHistogram;
template <typename UMap>
friend struct Impl::UnorderedMapPrint;
};
// Specialization of deep_copy for two UnorderedMap objects.
template < typename DKey, typename DT, typename DDevice
, typename SKey, typename ST, typename SDevice
, typename Hasher, typename EqualTo >
inline void deep_copy( UnorderedMap<DKey, DT, DDevice, Hasher, EqualTo> & dst
, const UnorderedMap<SKey, ST, SDevice, Hasher, EqualTo> & src )
{
dst.create_copy_view(src);
}
} // namespace Kokkos
#endif //KOKKOS_UNORDERED_MAP_HPP
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