# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # pylint: disable=missing-module-docstring,missing-function-docstring,missing-class-docstring """Test Meta Schedule Database""" import os.path as osp import sys import tempfile from typing import Callable import pytest import tvm from tvm import tir from tvm.ir.module import IRModule from tvm.meta_schedule.arg_info import ArgInfo from tvm.meta_schedule.database import JSONDatabase, TuningRecord from tvm.script import tir as T from tvm.tir import Schedule # pylint: disable=invalid-name,no-member,line-too-long,too-many-nested-blocks,no-self-argument # fmt: off @tvm.script.ir_module class Matmul: @T.prim_func def main(a: T.handle, b: T.handle, c: T.handle) -> None: T.func_attr({"global_symbol": "main"}) A = T.match_buffer(a, (1024, 1024), "float32") B = T.match_buffer(b, (1024, 1024), "float32") C = T.match_buffer(c, (1024, 1024), "float32") for i, j, k in T.grid(1024, 1024, 1024): with T.block("matmul"): vi, vj, vk = T.axis.remap("SSR", [i, j, k]) with T.init(): C[vi, vj] = 0.0 C[vi, vj] = C[vi, vj] + A[vi, vk] * B[vk, vj] @tvm.script.ir_module class MatmulRelu: @T.prim_func def main(a: T.handle, b: T.handle, d: T.handle) -> None: # pylint: disable=no-self-argument T.func_attr({"global_symbol": "main", "tir.noalias": True}) A = T.match_buffer(a, (16, 16), "float32") B = T.match_buffer(b, (16, 16), "float32") D = T.match_buffer(d, (16, 16), "float32") C = T.alloc_buffer((16, 16), "float32") for i, j, k in T.grid(16, 16, 16): with T.block("matmul"): vi, vj, vk = T.axis.remap("SSR", [i, j, k]) with T.init(): C[vi, vj] = 0.0 C[vi, vj] = C[vi, vj] + A[vi, vk] * B[vk, vj] for i, j in T.grid(16, 16): with T.block("relu"): vi, vj = T.axis.remap("SS", [i, j]) D[vi, vj] = T.max(C[vi, vj], 0.0) # fmt: on # pylint: enable=invalid-name,no-member,line-too-long,too-many-nested-blocks,no-self-argument def _schedule_matmul(sch: Schedule): block = sch.get_block("matmul") i, j, k = sch.get_loops(block=block) i_tiles = [1, 1, 2, 512] j_tiles = [1, 512, 1, 2] k_tiles = [256, 4] i_0, i_1, i_2, i_3 = sch.split(loop=i, factors=i_tiles) j_0, j_1, j_2, j_3 = sch.split(loop=j, factors=j_tiles) k_0, k_1 = sch.split(loop=k, factors=k_tiles) sch.reorder(i_0, j_0, i_1, j_1, k_0, i_2, j_2, k_1, i_3, j_3) def _create_schedule(mod: IRModule, sch_fn: Callable[[Schedule], None]) -> Schedule: sch = tir.Schedule(mod=mod, debug_mask="all") sch_fn(sch) return sch def _create_tmp_database(tmpdir: str) -> JSONDatabase: path_workload = osp.join(tmpdir, "workloads.json") path_tuning_record = osp.join(tmpdir, "tuning_records.json") return JSONDatabase(path_workload, path_tuning_record) def _equal_record(a: TuningRecord, b: TuningRecord): assert str(a.trace) == str(b.trace) assert str(a.run_secs) == str(b.run_secs) # AWAIT(@zxybazh): change to export after fixing "(bool)0" assert str(a.target) == str(b.target) assert tvm.ir.structural_equal(a.workload.mod, b.workload.mod) for arg0, arg1 in zip(a.args_info, b.args_info): assert str(arg0.as_json()) == str(arg1.as_json()) def test_meta_schedule_tuning_record_round_trip(): mod: IRModule = Matmul with tempfile.TemporaryDirectory() as tmpdir: database = _create_tmp_database(tmpdir) workload = database.commit_workload(mod) record = TuningRecord( _create_schedule(mod, _schedule_matmul).trace, [1.5, 2.5, 1.8], workload, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ) database.commit_tuning_record(record) new_record = TuningRecord.from_json(record.as_json(), workload) _equal_record(record, new_record) def test_meta_schedule_database_create(): with tempfile.TemporaryDirectory() as tmpdir: database = _create_tmp_database(tmpdir) assert osp.exists(database.path_workload) assert osp.exists(database.path_tuning_record) def test_meta_schedule_database_has_workload(): mod: IRModule = Matmul missing_mod: IRModule = MatmulRelu with tempfile.TemporaryDirectory() as tmpdir: database = _create_tmp_database(tmpdir) workload = database.commit_workload(mod) record = TuningRecord( _create_schedule(mod, _schedule_matmul).trace, [1.5, 2.5, 1.8], workload, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ) database.commit_tuning_record(record) assert len(database) == 1 assert database.has_workload(mod) assert not database.has_workload(missing_mod) def test_meta_schedule_database_add_entry(): mod: IRModule = Matmul with tempfile.TemporaryDirectory() as tmpdir: database = _create_tmp_database(tmpdir) workload = database.commit_workload(mod) record = TuningRecord( _create_schedule(mod, _schedule_matmul).trace, [1.5, 2.5, 1.8], workload, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ) database.commit_tuning_record(record) assert len(database) == 1 (ret,) = database.get_top_k(workload, 3) _equal_record(ret, record) def test_meta_schedule_database_missing(): mod: IRModule = Matmul mod_2: IRModule = MatmulRelu with tempfile.TemporaryDirectory() as tmpdir: database = _create_tmp_database(tmpdir) workload = database.commit_workload(mod) workload_2 = database.commit_workload(mod_2) record = TuningRecord( _create_schedule(mod, _schedule_matmul).trace, [1.5, 2.5, 1.8], workload, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ) database.commit_tuning_record(record) ret = database.get_top_k(workload_2, 3) assert len(ret) == 0 def test_meta_schedule_database_sorting(): mod: IRModule = Matmul with tempfile.TemporaryDirectory() as tmpdir: database = _create_tmp_database(tmpdir) token = database.commit_workload(mod) trace = _create_schedule(mod, _schedule_matmul).trace records = [ TuningRecord( trace, [7.0, 8.0, 9.0], token, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ), TuningRecord( trace, [1.0, 2.0, 3.0], token, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ), TuningRecord( trace, [4.0, 5.0, 6.0], token, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ), TuningRecord( trace, [1.1, 1.2, 600.0], token, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ), TuningRecord( trace, [1.0, 100.0, 6.0], token, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ), TuningRecord( trace, [4.0, 9.0, 8.0], token, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ), ] for record in records: database.commit_tuning_record(record) ret = database.get_top_k(token, 2) assert len(ret) == 2 try: _equal_record(ret[0], records[2]) _equal_record(ret[1], records[1]) except AssertionError: _equal_record(ret[0], records[1]) _equal_record(ret[1], records[2]) def test_meta_schedule_database_reload(): mod: IRModule = Matmul with tempfile.TemporaryDirectory() as tmpdir: database = _create_tmp_database(tmpdir) token = database.commit_workload(mod) trace = _create_schedule(mod, _schedule_matmul).trace records = [ TuningRecord( trace, [7.0, 8.0, 9.0], token, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ), TuningRecord( trace, [1.0, 2.0, 3.0], token, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ), TuningRecord( trace, [4.0, 5.0, 6.0], token, tvm.target.Target("llvm"), ArgInfo.from_prim_func(func=mod["main"]), # pylint: disable=unsubscriptable-object ), ] for record in records: database.commit_tuning_record(record) new_database = JSONDatabase( # pylint: disable=unused-variable path_workload=database.path_workload, path_tuning_record=database.path_tuning_record, ) token = new_database.commit_workload(mod) ret = new_database.get_top_k(token, 2) assert len(ret) == 2 try: _equal_record(ret[0], records[2]) _equal_record(ret[1], records[1]) except AssertionError: _equal_record(ret[0], records[1]) _equal_record(ret[1], records[2]) if __name__ == "__main__": sys.exit(pytest.main([__file__] + sys.argv[1:]))