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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "dense_tensor_create_function.h"
#include <vespa/eval/eval/value.h>
namespace vespalib::eval {
using Child = TensorFunction::Child;
using namespace tensor_function;
namespace {
template <typename CT>
void my_tensor_create_op(InterpretedFunction::State &state, uint64_t param) {
const auto &self = unwrap_param<DenseTensorCreateFunction::Self>(param);
size_t pending_cells = self.result_size;
ArrayRef<CT> cells = state.stash.create_uninitialized_array<CT>(pending_cells);
while (pending_cells-- > 0) {
cells[pending_cells] = (CT) state.peek(0).as_double();
state.stack.pop_back();
}
const Value &result = state.stash.create<DenseValueView>(self.result_type, TypedCells(cells));
state.stack.emplace_back(result);
}
struct MyTensorCreateOp {
template <typename CT>
static auto invoke() { return my_tensor_create_op<CT>; }
};
size_t get_index(const TensorSpec::Address &addr, const ValueType &type) {
size_t cell_idx = 0;
for (const auto &binding: addr) {
size_t dim_idx = type.dimension_index(binding.first);
assert(dim_idx != ValueType::Dimension::npos);
assert(binding.second.is_indexed());
cell_idx *= type.dimensions()[dim_idx].size;
cell_idx += binding.second.index;
}
return cell_idx;
}
} // namespace vespalib::eval::<unnamed>
DenseTensorCreateFunction::DenseTensorCreateFunction(const ValueType &res_type, std::vector<Child> children)
: TensorFunction(),
_self(res_type, children.size()),
_children(std::move(children))
{
}
DenseTensorCreateFunction::~DenseTensorCreateFunction() = default;
void
DenseTensorCreateFunction::push_children(std::vector<Child::CREF> &target) const
{
for (const Child &c : _children) {
target.emplace_back(c);
}
}
InterpretedFunction::Instruction
DenseTensorCreateFunction::compile_self(const ValueBuilderFactory &, Stash &) const
{
using MyTypify = TypifyCellType;
auto op = typify_invoke<1,MyTypify,MyTensorCreateOp>(result_type().cell_type());
return InterpretedFunction::Instruction(op, wrap_param<DenseTensorCreateFunction::Self>(_self));
}
const TensorFunction &
DenseTensorCreateFunction::optimize(const TensorFunction &expr, Stash &stash)
{
if (auto create = as<Create>(expr)) {
if (expr.result_type().is_dense()) {
size_t num_cells = expr.result_type().dense_subspace_size();
const auto &zero_value = stash.create<DoubleValue>(0.0);
const auto &zero_node = const_value(zero_value, stash);
std::vector<Child> children(num_cells, zero_node);
for (const auto &cell: create->map()) {
size_t cell_idx = get_index(cell.first, expr.result_type());
children[cell_idx] = cell.second;
}
return stash.create<DenseTensorCreateFunction>(expr.result_type(), std::move(children));
}
}
return expr;
}
} // namespace vespalib::eval
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