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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "generic_cell_cast.h"
#include <vespa/eval/eval/value.h>
#include <vespa/eval/eval/wrap_param.h>
#include <vespa/vespalib/util/stash.h>
#include <vespa/vespalib/util/typify.h>
#include <cassert>
using namespace vespalib::eval::tensor_function;
namespace vespalib::eval::instruction {
using State = InterpretedFunction::State;
using Instruction = InterpretedFunction::Instruction;
namespace {
template <typename ICT, typename OCT>
void my_generic_cell_cast_op(State &state, uint64_t param_in) {
const auto &res_type = unwrap_param<ValueType>(param_in);
const Value &a = state.peek(0);
auto input_cells = a.cells().typify<ICT>();
auto output_cells = state.stash.create_uninitialized_array<OCT>(input_cells.size());
auto pos = output_cells.begin();
for (ICT value : input_cells) {
*pos++ = (OCT) value;
}
assert(pos == output_cells.end());
Value &result_ref = state.stash.create<ValueView>(res_type, a.index(), TypedCells(output_cells));
state.pop_push(result_ref);
}
struct SelectGenericCellCastOp {
template <typename ICT, typename OCT>
static InterpretedFunction::op_function invoke() {
if constexpr (std::is_same_v<ICT,OCT>) {
// handeled by nop case below
abort();
} else {
return my_generic_cell_cast_op<ICT, OCT>;
}
}
};
} // namespace <unnamed>
InterpretedFunction::Instruction
GenericCellCast::make_instruction(const ValueType &result_type,
const ValueType &input_type,
CellType to_cell_type,
Stash &stash)
{
assert(result_type == input_type.cell_cast(to_cell_type));
auto from = input_type.cell_type();
auto to = result_type.cell_type();
if (to == from) {
return Instruction::nop();
} else {
assert(!input_type.is_double());
auto ¶m = stash.create<ValueType>(result_type);
auto op = typify_invoke<2,TypifyCellType,SelectGenericCellCastOp>(from, to);
return Instruction(op, wrap_param<ValueType>(param));
}
}
} // namespace
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