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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "optimize_tensor_function.h"
#include "tensor_function.h"
#include "simple_value.h"
#include <vespa/eval/instruction/dense_dot_product_function.h>
#include <vespa/eval/instruction/sparse_dot_product_function.h>
#include <vespa/eval/instruction/sparse_112_dot_product.h>
#include <vespa/eval/instruction/mixed_112_dot_product.h>
#include <vespa/eval/instruction/sparse_merge_function.h>
#include <vespa/eval/instruction/sparse_singledim_lookup.h>
#include <vespa/eval/instruction/sparse_no_overlap_join_function.h>
#include <vespa/eval/instruction/sparse_full_overlap_join_function.h>
#include <vespa/eval/instruction/mixed_inner_product_function.h>
#include <vespa/eval/instruction/sum_max_dot_product_function.h>
#include <vespa/eval/instruction/best_similarity_function.h>
#include <vespa/eval/instruction/dense_xw_product_function.h>
#include <vespa/eval/instruction/dense_matmul_function.h>
#include <vespa/eval/instruction/dense_multi_matmul_function.h>
#include <vespa/eval/instruction/fast_rename_optimizer.h>
#include <vespa/eval/instruction/add_trivial_dimension_optimizer.h>
#include <vespa/eval/instruction/dense_single_reduce_function.h>
#include <vespa/eval/instruction/remove_trivial_dimension_optimizer.h>
#include <vespa/eval/instruction/dense_lambda_peek_optimizer.h>
#include <vespa/eval/instruction/unpack_bits_function.h>
#include <vespa/eval/instruction/dense_simple_expand_function.h>
#include <vespa/eval/instruction/mixed_simple_join_function.h>
#include <vespa/eval/instruction/join_with_number_function.h>
#include <vespa/eval/instruction/pow_as_map_optimizer.h>
#include <vespa/eval/instruction/inplace_map_function.h>
#include <vespa/eval/instruction/vector_from_doubles_function.h>
#include <vespa/eval/instruction/dense_tensor_create_function.h>
#include <vespa/eval/instruction/dense_tensor_peek_function.h>
#include <vespa/eval/instruction/dense_hamming_distance.h>
#include <vespa/eval/instruction/l2_distance.h>
#include <vespa/eval/instruction/mixed_l2_distance.h>
#include <vespa/eval/instruction/simple_join_count.h>
#include <vespa/eval/instruction/mapped_lookup.h>
#include <vespa/eval/instruction/universal_dot_product.h>
#include <vespa/log/log.h>
LOG_SETUP(".eval.eval.optimize_tensor_function");
namespace vespalib::eval {
OptimizeTensorFunctionOptions::OptimizeTensorFunctionOptions() noexcept
: allow_universal_dot_product(true)
{
}
OptimizeTensorFunctionOptions::~OptimizeTensorFunctionOptions() = default;
namespace {
using Child = TensorFunction::Child;
template <typename Func>
void run_optimize_pass(const Child &root, Func&& optimize_node) {
std::vector<Child::CREF> nodes({root});
for (size_t i = 0; i < nodes.size(); ++i) {
nodes[i].get().get().push_children(nodes);
}
while (!nodes.empty()) {
optimize_node(nodes.back().get());
nodes.pop_back();
}
}
const TensorFunction &optimize_for_factory(const ValueBuilderFactory &, const TensorFunction &expr, Stash &stash,
const OptimizeTensorFunctionOptions &options)
{
Child root(expr);
run_optimize_pass(root, [&stash](const Child &child)
{
child.set(PowAsMapOptimizer::optimize(child.get(), stash));
});
run_optimize_pass(root, [&stash](const Child &child)
{
child.set(SumMaxDotProductFunction::optimize(child.get(), stash));
});
run_optimize_pass(root, [&stash](const Child &child)
{
child.set(Sparse112DotProduct::optimize(child.get(), stash));
child.set(Mixed112DotProduct::optimize(child.get(), stash));
child.set(BestSimilarityFunction::optimize(child.get(), stash));
child.set(L2Distance::optimize(child.get(), stash));
child.set(MixedL2Distance::optimize(child.get(), stash));
});
run_optimize_pass(root, [&stash,&options](const Child &child)
{
child.set(DenseDotProductFunction::optimize(child.get(), stash));
child.set(SparseDotProductFunction::optimize(child.get(), stash));
child.set(DenseXWProductFunction::optimize(child.get(), stash));
child.set(DenseMatMulFunction::optimize(child.get(), stash));
child.set(DenseMultiMatMulFunction::optimize(child.get(), stash));
child.set(MixedInnerProductFunction::optimize(child.get(), stash));
child.set(DenseHammingDistance::optimize(child.get(), stash));
child.set(SimpleJoinCount::optimize(child.get(), stash));
child.set(MappedLookup::optimize(child.get(), stash));
if (options.allow_universal_dot_product) {
child.set(UniversalDotProduct::optimize(child.get(), stash, false));
}
});
run_optimize_pass(root, [&stash](const Child &child)
{
child.set(DenseSimpleExpandFunction::optimize(child.get(), stash));
child.set(AddTrivialDimensionOptimizer::optimize(child.get(), stash));
child.set(RemoveTrivialDimensionOptimizer::optimize(child.get(), stash));
child.set(VectorFromDoublesFunction::optimize(child.get(), stash));
child.set(DenseTensorCreateFunction::optimize(child.get(), stash));
child.set(DenseTensorPeekFunction::optimize(child.get(), stash));
child.set(DenseLambdaPeekOptimizer::optimize(child.get(), stash));
child.set(UnpackBitsFunction::optimize(child.get(), stash));
child.set(FastRenameOptimizer::optimize(child.get(), stash));
child.set(InplaceMapFunction::optimize(child.get(), stash));
child.set(MixedSimpleJoinFunction::optimize(child.get(), stash));
child.set(JoinWithNumberFunction::optimize(child.get(), stash));
child.set(DenseSingleReduceFunction::optimize(child.get(), stash));
child.set(SparseMergeFunction::optimize(child.get(), stash));
child.set(SparseNoOverlapJoinFunction::optimize(child.get(), stash));
child.set(SparseFullOverlapJoinFunction::optimize(child.get(), stash));
child.set(SparseSingledimLookup::optimize(child.get(), stash));
});
return root.get();
}
} // namespace vespalib::eval::<unnamed>
const TensorFunction &optimize_tensor_function_impl(const ValueBuilderFactory &factory, const TensorFunction &function, Stash &stash,
const OptimizeTensorFunctionOptions &options)
{
LOG(debug, "tensor function before optimization:\n%s\n", function.as_string().c_str());
const TensorFunction &optimized = optimize_for_factory(factory, function, stash, options);
LOG(debug, "tensor function after optimization:\n%s\n", optimized.as_string().c_str());
return optimized;
}
const TensorFunction &optimize_tensor_function(const ValueBuilderFactory &factory, const TensorFunction &function, Stash &stash) {
return optimize_tensor_function_impl(factory, function, stash, OptimizeTensorFunctionOptions());
}
const TensorFunction &do_not_optimize_tensor_function(const ValueBuilderFactory &, const TensorFunction &function, Stash &) {
return function;
}
const TensorFunction &apply_tensor_function_optimizer(const TensorFunction &function, tensor_function_optimizer optimizer, Stash &stash, tensor_function_listener listener) {
Child root(function);
run_optimize_pass(root, [&](const Child &child)
{
const TensorFunction &child_before = child.get();
const TensorFunction &child_after = optimizer(child_before, stash);
if (std::addressof(child_after) != std::addressof(child_before)) {
child.set(child_after);
listener(child_after);
}
});
return root.get();
}
} // namespace vespalib::eval
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