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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "vector_from_doubles_function.h"
#include <vespa/eval/eval/value.h>
namespace vespalib::eval {
using Child = TensorFunction::Child;
using namespace tensor_function;
namespace {
struct CallVectorFromDoubles {
template <typename CT>
static TypedCells
invoke(InterpretedFunction::State &state, size_t numCells) {
ArrayRef<CT> outputCells = state.stash.create_uninitialized_array<CT>(numCells);
for (size_t i = numCells; i-- > 0; ) {
outputCells[i] = (CT) state.peek(0).as_double();
state.stack.pop_back();
}
return TypedCells(outputCells);
}
};
void my_vector_from_doubles_op(InterpretedFunction::State &state, uint64_t param) {
const auto &self = unwrap_param<VectorFromDoublesFunction::Self>(param);
CellType ct = self.resultType.cell_type();
size_t numCells = self.resultSize;
using MyTypify = TypifyCellType;
TypedCells cells = typify_invoke<1,MyTypify,CallVectorFromDoubles>(ct, state, numCells);
const Value &result = state.stash.create<DenseValueView>(self.resultType, cells);
state.stack.emplace_back(result);
}
size_t vector_size(const TensorFunction &child, const vespalib::string &dimension) {
if (child.result_type().is_double()) {
return 1;
}
if (auto vfd = as<VectorFromDoublesFunction>(child)) {
if (vfd->dimension() == dimension) {
return vfd->size();
}
}
return 0;
}
void flatten_into(const TensorFunction &child, std::vector<Child> &vec) {
if (child.result_type().is_double()) {
vec.emplace_back(child);
} else {
std::vector<Child::CREF> tmp;
child.push_children(tmp);
for (const Child &c : tmp) {
assert(c.get().result_type().is_double());
vec.push_back(c);
}
}
}
std::vector<Child> flatten(const TensorFunction &lhs, const TensorFunction &rhs) {
std::vector<Child> vec;
flatten_into(lhs, vec);
flatten_into(rhs, vec);
return vec;
}
} // namespace vespalib::eval::<unnamed>
VectorFromDoublesFunction::VectorFromDoublesFunction(std::vector<Child> children, const ValueType &res_type)
: TensorFunction(),
_self(res_type, children.size()),
_children(std::move(children))
{
}
VectorFromDoublesFunction::~VectorFromDoublesFunction() = default;
void
VectorFromDoublesFunction::push_children(std::vector<Child::CREF> &target) const
{
for (const Child &c : _children) {
target.emplace_back(c);
}
}
InterpretedFunction::Instruction
VectorFromDoublesFunction::compile_self(const CTFContext &) const
{
return InterpretedFunction::Instruction(my_vector_from_doubles_op, wrap_param<VectorFromDoublesFunction::Self>(_self));
}
const TensorFunction &
VectorFromDoublesFunction::optimize(const TensorFunction &expr, Stash &stash)
{
if (auto concat = as<Concat>(expr)) {
const vespalib::string &dimension = concat->dimension();
size_t a_size = vector_size(concat->lhs(), dimension);
size_t b_size = vector_size(concat->rhs(), dimension);
if ((a_size > 0) && (b_size > 0)) {
auto children = flatten(concat->lhs(), concat->rhs());
assert(children.size() == (a_size + b_size));
return stash.create<VectorFromDoublesFunction>(std::move(children), expr.result_type());
}
}
return expr;
}
} // namespace vespalib::eval
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