Go to the documentation of this file.
24 namespace Autoscheduler {
69 bool all(
const vector<int> &v);
96 std::set<const FunctionDAG::Node *>
store_at;
140 mutable std::map<uint64_t, StageMap<ScheduleFeatures>>
features;
165 vector<vector<int64_t>> &stage_sizes,
166 vector<vector<int>> &pure_dims,
167 vector<int> &vectorized_indices)
const;
182 const vector<int64_t> &max_size);
189 h ^= (next + 0x9e3779b9 + (h << 6) + (h >> 2));
202 count += c->funcs_realized_or_inlined();
255 const LoopNest *current_thread_loop =
nullptr)
const;
263 c->set_working_set_at_task_feature(working_set,
features);
264 features->get(c->stage).working_set_at_task = working_set;
290 void compute_gpu_store_features(
const LoadJacobian &jac,
int consumer_innermost_dim,
const FunctionDAG::Node *
node,
const Bound &consumer_store_bounds,
const GPULoopInfo &gpu_loop_info,
const std::vector<int64_t> &inner_serial_loop_extents,
const Sites &consumer_site,
ScheduleFeatures &feat,
const LoopNest *parent,
const LoopNest &root,
GlobalMemInfo &global_mem_loads,
SharedMemInfo &shared_mem_loads,
LocalMemInfo &local_mem_loads,
bool verbose =
false)
const;
331 int64_t points_accessed_per_thread(
const Anderson2021Params ¶ms,
const Target &target,
const GPULoopInfo &gpu_loop_info,
const std::vector<const FunctionDAG::Edge *> &edge_chain,
const LoadJacobian &jac,
const LoopNest *parent,
const LoopNest *grandparent,
int64_t n,
const ScheduleFeatures &feat,
const LoadJacobian &serial_jac,
bool producer_has_been_scheduled,
int producer_innermost_dim,
const GPUMemoryType &mem_type,
bool verbose =
false)
const;
341 void collect_stages(std::set<const FunctionDAG::Node::Stage *> &stages)
const;
363 bool use_memoized_features,
366 int64_t *working_set_local_constant,
367 int64_t *working_set_local_dynamic,
370 bool verbose =
false)
const;
375 return node ==
nullptr;
380 return bounds.emplace(f, b);
400 void dump(T &stream,
string prefix,
const LoopNest *parent)
const;
432 bool in_threads_loop,
443 bool move_all_rvars_inward =
true,
444 const vector<int> &rvars_to_move_inward = {})
const;
458 vector<IntrusivePtr<const LoopNest>>
compute_in_tiles(
const FunctionDAG::Node *f,
459 const LoopNest *parent,
460 const Anderson2021Params ¶ms,
462 const SearchSpaceOptions &search_space_options,
465 bool in_threads_loop,
467 vector<int64_t> union_counts = vector<int64_t>())
const;
475 struct StageScheduleState {
552 StageMap<std::unique_ptr<StageScheduleState>> &state_map,
558 std::vector<StageScheduleState *> &ancestors,
582 std::cerr <<
"\nState filtered: \n";
584 std::cerr <<
"Reason: ";
591 std::cerr << std::forward<T>(x);
603 #endif // LOOP_NEST_H
std::vector< std::pair< int, int > > collect_producers(const StageMap< Sites > &sites) const
bool all_paths_to_leaves_have_thread_loop() const
double storage_stride(const LoadJacobian &jac, int innermost_storage_dim, const FunctionDAG::Node *storage_node, const Bound &store_bounds, const LoopNest &root) const
void compute_warp_and_block_occupancy(const Anderson2021Params ¶ms, ScheduleFeatures &feat, const GPULoopInfo &gpu_loop_info) const
vector< IntrusivePtr< const LoopNest > > children
bool has_constant_region_required(const FunctionDAG::Node *node) const
double compute_local_mem_stride(double stride, double bytes) const
int get_pure_stage_vectorized_loop_index(const FunctionDAG::Node *node) const
bool producer_computed_here_or_further_in(const FunctionDAG::Node *producer) const
bool is_stored_in_shared_mem() const
std::set< const FunctionDAG::Node * > store_at
GPUMemoryType get_gpu_memory_type(bool in_block, bool in_thread, bool is_inlined=false) const
bool is_constant_allocation
A Halide variable, to be used when defining functions.
vector< StageScheduleState * > ancestors
GPUMemoryType gpu_store_memory_type
vector< int64_t > gpu_thread_extents
void collect_stages(std::set< const FunctionDAG::Node::Stage * > &stages) const
void compute_gpu_store_features(const LoadJacobian &jac, int consumer_innermost_dim, const FunctionDAG::Node *node, const Bound &consumer_store_bounds, const GPULoopInfo &gpu_loop_info, const std::vector< int64_t > &inner_serial_loop_extents, const Sites &consumer_site, ScheduleFeatures &feat, const LoopNest *parent, const LoopNest &root, GlobalMemInfo &global_mem_loads, SharedMemInfo &shared_mem_loads, LocalMemInfo &local_mem_loads, bool verbose=false) const
MemInfoType< T > compute_mem_store_info(const LoadJacobian &jac, int consumer_innermost_dim, const FunctionDAG::Node *node, const Bound &consumer_store_bounds, const ThreadInfo &thread_info, double serial_loop_extents, bool verbose) const
int vectorized_loop_index
bool promote_allocs_to_registers(const Target &target, StageMap< Sites > &sites) const
double get_idle_lane_wastage_limit_env_var()
int get_vectorized_loop_index_from_pure_stage(const LoopNest &root) const
void compute_shared_mem_occupancy(const Anderson2021Params ¶ms, const Target &target, int64_t total_shared_mem_alloc_size, ScheduleFeatures &feat) const
NodeMap< int64_t > inlined
bool node_has_dynamic_region_computed(const FunctionDAG::Node *f) const
static bool enable_filter_printing()
bool can_vectorize_store_access(const LoadJacobian &jac, const FunctionDAG::Node *accessed, bool accessed_has_been_scheduled, int innermost_dim, int loop_index, const GPUMemoryType &mem_type) const
bool has_dynamic_allocation_inside_thread(bool in_thread_loop) const
GPU_parallelism gpu_label
const Bound & set_bounds(const FunctionDAG::Node *f, BoundContents *b) const
bool requires_dynamic_allocation(const FunctionDAG::Node *f, const Target &target, bool in_threads_loop) const
vector< FuncVar > ordered_vars
const Bound & get_bounds(const FunctionDAG::Node *f) const
void memoize_features(StageMap< ScheduleFeatures > &memoized_features, const StageMap< ScheduleFeatures > *features_to_insert) const
bool has_thread_loop_descendant() const
void collect_all_inlined(NodeMap< bool > &all_inlined) const
void set_working_set_at_task_feature(int64_t working_set, StageMap< ScheduleFeatures > *features) const
void compute_here(const FunctionDAG::Node *f, bool tileable, int v, const Adams2019Params ¶ms)
void dump(std::ostream &os, string prefix, const LoopNest *parent) const
std::pair< int64_t, int64_t > get_block_and_serial_extents(const LoopNest *block) const
bool has_gpu_feature() const
Is a fully feature GPU compute runtime enabled? I.e.
bool accesses_input_buffer() const
void compute_mem_load_features(const LoadJacobian &jac, int producer_innermost_dim, const FunctionDAG::Node *node, const Bound &producer_store_bounds, bool producer_has_been_scheduled, const ThreadInfo &thread_info, MemInfoType< T > &mem_info, double serial_loop_extents, bool verbose=false) const
Filter & operator<<(T &&x)
int64_t points_accessed_per_thread(const Anderson2021Params ¶ms, const Target &target, const GPULoopInfo &gpu_loop_info, const std::vector< const FunctionDAG::Edge * > &edge_chain, const LoadJacobian &jac, const LoopNest *parent, const LoopNest *grandparent, int64_t n, const ScheduleFeatures &feat, const LoadJacobian &serial_jac, bool producer_has_been_scheduled, int producer_innermost_dim, const GPUMemoryType &mem_type, bool verbose=false) const
void compute_working_set_from_features(int64_t *working_set, const StageMap< ScheduleFeatures > *features) const
void copy_from_including_features(const LoopNest &n)
Filter(const LoopNest *loop_nest)
PerfectHashMap< FunctionDAG::Node, T > NodeMap
Intrusive shared pointers have a reference count (a RefCount object) stored in the class itself.
void compute_warp_features(ScheduleFeatures &features, const GPULoopInfo &gpu_loop_info) const
bool calls(const FunctionDAG::Node *f) const
int64_t max_inlined_calls() const
bool is_stored_in_local_mem() const
unsigned __INT64_TYPE__ uint64_t
Bound get_bounds_along_edge_chain(const FunctionDAG::Node *f, const vector< const FunctionDAG::Edge * > &edge_chain) const
std::pair< const LoopNest *, const LoopNest * > find_innermost_and_parent() const
This file defines the class FunctionDAG, which is our representation of a Halide pipeline,...
bool are_valid_thread_extents(const vector< int64_t > &counts)
Strides compute_strides(const LoadJacobian &jac, int innermost_storage_dim, const FunctionDAG::Node *storage_node, const Bound &store_bounds, const ThreadInfo &thread_info, bool verbose=false) const
bool accessed_at_constant_indices(const std::vector< int > &unrolled, const FunctionDAG::Edge *e)
@ Internal
Not visible externally, similar to 'static' linkage in C.
void copy_from(const LoopNest &n)
void memoize_points_computed_minimum(StageMap< ScheduleFeatures > &memoized_features, const StageMap< ScheduleFeatures > *features) const
bool computes(const FunctionDAG::Node *f) const
bool may_subtile(const Anderson2021Params ¶ms)
int64_t product_of_descendants(int loop_index) const
const FunctionDAG::Node * node
void get_sites(StageMap< Sites > &sites, const LoopNest *task=nullptr, const LoopNest *parent=nullptr) const
void get_stage_sizes(const FunctionDAG::Node *f, vector< vector< int64_t >> &stage_sizes, vector< vector< int >> &pure_dims, vector< int > &vectorized_indices) const
IntrusivePtr< const LoopNest > parallelize_in_tiles(const Adams2019Params ¶ms, const vector< int64_t > &tiling, const LoopNest *parent) const
const FunctionDAG::Node * node
void apply(LoopLevel here, StageMap< std::unique_ptr< StageScheduleState >> &state_map, double num_cores, int depth, const LoopNest *parent, const LoopNest *compute_site) const
const FunctionDAG::Node::Stage * stage
int64_t get_total_constant_local_mem_alloc_size() const
bool exceeds_serial_extents_limit(const Target &target, const LoopNest *parent, bool in_threads_loop) const
bool all_strides_exist(const LoadJacobian &jac, const FunctionDAG::Node *storage_node, const LoopNest &root) const
const FunctionDAG::Node::Stage * stage
std::string stringify(GPU_parallelism label)
int vectorized_access_size(size_t loop_index, bool verbose=false) const
signed __INT64_TYPE__ int64_t
int vectorized_loop_index
std::vector< int64_t > size
std::map< uint64_t, StageMap< StageMap< FeatureIntermediates > > > feature_intermediates
int64_t get_active_block_hardware_limit(const Anderson2021Params ¶ms)
int num_serial_loops() const
double get_idle_lane_wastage_limit()
void get_allocs_that_can_be_promoted_to_registers(const Target &target, StageMap< Sites > &sites, NodeMap< bool > &can_be_promoted_to_registers, const LoopNest *grandparent, const LoopNest *parent) const
static void hash_combine(uint64_t &h, uint64_t next)
bool all(const vector< int > &v)
void recompute_inlined_features(const StageMap< Sites > &sites, StageMap< ScheduleFeatures > *features) const
int64_t compute_licm_amortization(const LoopNest *innermost, const LoopNest *parent, const ScheduleFeatures &feat, const LoadJacobian &jac, int producer_dims) const
bool in_range_zero_one(double x)
NodeMap< std::vector< std::pair< const LoopNest *, std::vector< const FunctionDAG::Edge * > > > > producers_to_be_staged
vector< int64_t > get_union_thread_counts(const FunctionDAG::Node *f) const
int vectorized_load_access_size(const LoadJacobian &jac, const FunctionDAG::Node *accessed, bool accessed_has_been_scheduled, int innermost_dim, const GPUMemoryType &mem_type, bool verbose=false) const
void compute_features(const FunctionDAG &dag, const Adams2019Params ¶ms, const StageMap< Sites > &sites, int64_t instances, int64_t parallelism, const LoopNest *parent, const LoopNest *grandparent, const LoopNest &root, int64_t *working_set, StageMap< ScheduleFeatures > *features, bool use_cached_features) const
uint64_t hash_of_producers_stored_at_root
std::vector< IntrusivePtr< const LoopNest > > compute_in_tiles(const FunctionDAG::Node *f, const LoopNest *parent, const Adams2019Params ¶ms, int v, bool in_realization) const
bool is_gpu_thread(const Target &target) const
A reference to a site in a Halide statement at the top of the body of a particular for loop.
bool other_stage_has_same_producer(const FunctionDAG::Node *producer) const
int64_t get_shared_memory_limit(const Anderson2021Params ¶ms)
bool is_stored_in_global_mem() const
void collect_nodes_that_should_be_inlined(const NodeMap< bool > &nodes_to_freeze, NodeMap< bool > &inlined_nodes) const
const LoopNest * loop_nest
constexpr int64_t get_register_mem_alloc_limit()
bool can_vectorize_access_for_innermost_dim(const LoadJacobian &jac, const FunctionDAG::Node *accessed, int innermost_dim, int loop_index) const
std::map< uint64_t, StageMap< ScheduleFeatures > > features
bool has_constant_region_computed(const FunctionDAG::Node *node) const
int get_unroll_limit(const Target &target)
PerfectHashMap< FunctionDAG::Node::Stage, T > StageMap
bool is_stored_in_registers() const
const LoopNest * innermost
std::string to_string() const
A class representing a reference count to be used with IntrusivePtr.
void structural_hash(uint64_t &h, int depth) const
std::vector< const LoopNest * > inlined_innermosts
size_t funcs_realized_or_inlined() const
int get_actual_vector_dim(const Bound &store_bounds) const
A class that can represent Vars or RVars.
bool all_innermost_unrolled
bool region_computed_shrinks(const FunctionDAG::Node *f, const LoopNest *parent) const
std::ostringstream schedule_source
bool has_valid_thread_extents() const
bool is_gpu_serial(const Target &target) const
void compute_num_mem_accesses_per_block(const LoadJacobian &jac, const FunctionDAG::Node *node, const Bound &store_bounds, const ThreadInfo &thread_info, int innermost_dim, double num_requests_per_warp, MemInfoType< T > &mem_info, bool verbose=false) const
const LoopNest * get_enclosing_block(const LoopNest *parent, const LoopNest *grandparent) const
void inline_func(const FunctionDAG::Node *f)
int64_t get_total_local_mem_alloc_size(bool constant_allocs_only=false, bool in_threads_loop=false) const
std::vector< IntrusivePtr< const LoopNest > > children
int64_t product_of_self_and_descendants(int loop_index) const
bool is_gpu_block(const Target &target) const
double max_idle_lane_wastage(const Target &target, GPULoopInfo gpu_loop_info) const
void get_stages_computed_in_each_compute_root_loop(StageMap< StageMap< bool >> &descendants, const LoopNest *compute_root_loop_nest=nullptr) const
uint64_t compute_hash_of_producers_stored_at_root(const StageMap< Sites > &sites) const
A struct representing a target machine and os to generate code for.
void update_producers_to_be_staged(StageScheduleState &state, const NodeMap< bool > &all_inlined) const
std::pair< double, double > compute_local_mem_store_features(const LoadJacobian &jac, int consumer_innermost_dim, const FunctionDAG::Node *node, const Bound &consumer_store_bounds, const LoopNest &root, double serial_loop_extents) const
void generate_vec_dim_serial_tilings(vector< int > &serial_sizes) const
const LoopNest * find_pure_stage_loop_nest(const FunctionDAG::Node *node) const
int64_t get_active_warp_hardware_limit(const Anderson2021Params ¶ms)
std::pair< int64_t, bool > compute_alloc_size_of_node_here(const FunctionDAG::Node *f) const
bool add_gpu_thread_tilings(const FunctionDAG::Node *f, const Anderson2021Params ¶ms, const Target &target, int v, vector< IntrusivePtr< const LoopNest >> &result, const vector< int64_t > &max_size)
std::vector< int > unrolled_loops(const Target &target, const LoopNest *parent, const LoopNest *grandparent) const