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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "tensor_buffer_type_mapper.h"
#include "tensor_buffer_operations.h"
#include <algorithm>
#include <cmath>
#include <limits>
namespace search::tensor {
TensorBufferTypeMapper::TensorBufferTypeMapper()
: _array_sizes(),
_ops(nullptr)
{
}
TensorBufferTypeMapper::TensorBufferTypeMapper(uint32_t max_small_subspaces_type_id, double grow_factor, TensorBufferOperations* ops)
: _array_sizes(),
_ops(ops)
{
_array_sizes.reserve(max_small_subspaces_type_id + 1);
_array_sizes.emplace_back(0); // type id 0 uses LargeSubspacesBufferType
uint32_t num_subspaces = 0;
size_t prev_array_size = 0u;
size_t array_size = 0u;
for (uint32_t type_id = 1; type_id <= max_small_subspaces_type_id; ++type_id) {
if (type_id > 1) {
num_subspaces = std::max(num_subspaces + 1, static_cast<uint32_t>(std::floor(num_subspaces * grow_factor)));
}
array_size = _ops->get_buffer_size(num_subspaces);
while (array_size <= prev_array_size) {
++num_subspaces;
array_size = _ops->get_buffer_size(num_subspaces);
}
if (array_size > std::numeric_limits<uint32_t>::max()) {
break;
}
_array_sizes.emplace_back(array_size);
prev_array_size = array_size;
}
}
TensorBufferTypeMapper::~TensorBufferTypeMapper() = default;
uint32_t
TensorBufferTypeMapper::get_type_id(size_t array_size) const
{
assert(!_array_sizes.empty());
auto result = std::lower_bound(_array_sizes.begin() + 1, _array_sizes.end(), array_size);
if (result == _array_sizes.end()) {
return 0; // type id 0 uses LargeSubspacesBufferType
}
return result - _array_sizes.begin();
}
size_t
TensorBufferTypeMapper::get_array_size(uint32_t type_id) const
{
assert(type_id > 0 && type_id < _array_sizes.size());
return _array_sizes[type_id];
}
uint32_t
TensorBufferTypeMapper::get_max_small_array_type_id(uint32_t max_small_array_type_id) const noexcept
{
auto clamp_type_id = _array_sizes.size() - 1;
return (clamp_type_id < max_small_array_type_id) ? clamp_type_id : max_small_array_type_id;
}
}
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