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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "unpack_bits_function.h"
#include <vespa/eval/eval/operation.h>
#include <vespa/eval/eval/value.h>
#include <vespa/eval/eval/node_tools.h>
#include <vespa/eval/eval/basic_nodes.h>
#include <vespa/eval/eval/operator_nodes.h>
#include <vespa/eval/eval/call_nodes.h>
#include <vespa/eval/eval/tensor_nodes.h>
#include <vespa/eval/eval/wrap_param.h>
namespace vespalib::eval {
using namespace vespalib::eval::nodes;
using tensor_function::Lambda;
using tensor_function::wrap_param;
using tensor_function::unwrap_param;
using tensor_function::inject;
namespace {
//-----------------------------------------------------------------------------
template <typename OCT, bool big>
void my_unpack_bits_op(InterpretedFunction::State &state, uint64_t param) {
const ValueType &res_type = unwrap_param<ValueType>(param);
auto packed_cells = state.peek(0).cells().typify<Int8Float>();
auto unpacked_cells = state.stash.create_uninitialized_array<OCT>(packed_cells.size() * 8);
OCT *dst = unpacked_cells.begin();
for (Int8Float cell: packed_cells) {
if constexpr (big) {
for (int n = 7; n >= 0; --n) {
*dst++ = (OCT) bool(cell.get_bits() & (1 << n));
}
} else {
for (int n = 0; n <= 7; ++n) {
*dst++ = (OCT) bool(cell.get_bits() & (1 << n));
}
}
}
Value &result_ref = state.stash.create<DenseValueView>(res_type, TypedCells(unpacked_cells));
state.pop_push(result_ref);
}
//-----------------------------------------------------------------------------
struct MyGetFun {
template <typename OCT, typename BIG> static auto invoke() {
return my_unpack_bits_op<OCT, BIG::value>;
}
};
using MyTypify = TypifyValue<TypifyCellType,TypifyBool>;
//-----------------------------------------------------------------------------
bool valid_lambda_params(const Lambda &lambda) {
return ((lambda.lambda().num_params() == 2) &&
(lambda.bindings().size() == 1));
}
bool valid_type(const ValueType &type, bool must_be_int8) {
return ((type.is_dense()) &&
(type.dimensions().size() == 1) &&
(!must_be_int8 || (type.cell_type() == CellType::INT8)));
}
bool compatible_types(const ValueType &packed, const ValueType &unpacked) {
return (valid_type(packed, true) && valid_type(unpacked, false) &&
(unpacked.dimensions()[0].size == (packed.dimensions()[0].size * 8)));
}
bool is_little_bit_expr(const Node &node) {
// 'x%8'
if (auto mod = as<Mod>(node)) {
if (auto param = as<Symbol>(mod->lhs())) {
if (auto eight = as<Number>(mod->rhs())) {
return ((param->id() == 0) && (eight->value() == 8.0));
}
}
}
return false;
}
bool is_big_bit_expr(const Node &node) {
// '7-(x%8)'
if (auto sub = as<Sub>(node)) {
if (auto seven = as<Number>(sub->lhs())) {
return ((seven->value() == 7.0) && is_little_bit_expr(sub->rhs()));
}
}
return false;
}
bool is_byte_expr(const Node &node) {
// 'x/8'
if (auto div = as<Div>(node)) {
if (auto param = as<Symbol>(div->lhs())) {
if (auto eight = as<Number>(div->rhs())) {
return ((param->id() == 0) && (eight->value() == 8.0));
}
}
}
return false;
}
bool is_byte_peek(const TensorPeek &peek) {
if (auto param = as<Symbol>(peek.param())) {
if ((param->id() == 1) &&
(peek.dim_list().size() == 1) &&
(peek.num_children() == 2))
{
return is_byte_expr(peek.get_child(1));
}
}
return false;
}
//-----------------------------------------------------------------------------
} // namespace <unnamed>
UnpackBitsFunction::UnpackBitsFunction(const ValueType &res_type_in,
const TensorFunction &packed,
bool big_bitorder)
: Op1(res_type_in, packed),
_big_bitorder(big_bitorder)
{
}
InterpretedFunction::Instruction
UnpackBitsFunction::compile_self(const ValueBuilderFactory &, Stash &) const
{
const ValueType &res_type = result_type();
auto op = typify_invoke<2,MyTypify,MyGetFun>(res_type.cell_type(), _big_bitorder);
return InterpretedFunction::Instruction(op, wrap_param<ValueType>(res_type));
}
const TensorFunction &
UnpackBitsFunction::optimize(const TensorFunction &expr, Stash &stash)
{
if (auto lambda = as<Lambda>(expr)) {
const ValueType &dst_type = lambda->result_type();
if (auto bit = as<Bit>(lambda->lambda().root())) {
if (auto peek = as<TensorPeek>(bit->get_child(0))) {
const ValueType &src_type = lambda->types().get_type(peek->param());
if (compatible_types(src_type, dst_type) &&
valid_lambda_params(*lambda) &&
is_byte_peek(*peek))
{
size_t param_idx = lambda->bindings()[0];
if (is_big_bit_expr(bit->get_child(1))) {
return stash.create<UnpackBitsFunction>(dst_type, inject(src_type, param_idx, stash), true);
} else if (is_little_bit_expr(bit->get_child(1))) {
return stash.create<UnpackBitsFunction>(dst_type, inject(src_type, param_idx, stash), false);
}
}
}
}
}
return expr;
}
} // namespace
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