151 lines
4.9 KiB
Python
151 lines
4.9 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# pylint: disable=missing-module-docstring,missing-function-docstring,missing-class-docstring
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# isort: off
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from typing import Literal
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# isort: on
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import tvm_ffi
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from tvm.ir import IRModule
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from tvm.s_tir import Schedule
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from tvm.s_tir import meta_schedule as ms
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from tvm.s_tir.schedule import Trace
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from tvm.s_tir.schedule.testing import verify_trace_roundtrip
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from tvm.target import Target
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def get_rules(
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kind: Literal["llvm", "cuda", "cuda-tensorcore", "hexagon"],
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types: type | tuple[type, ...],
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) -> list[ms.ScheduleRule]:
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"""Get default schedule rules"""
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rules = ms.ScheduleRule.create(kind)
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return [rule for rule in rules if isinstance(rule, types)]
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def structural_equal_no_gs(mod1: IRModule, mod2: IRModule) -> bool:
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"""
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Checks structural equality but ignores global symbols
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"""
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# for every function in the modules, remove global symbols from the attrs and then compare
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def remove_global_symbols(mod: IRModule) -> IRModule:
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stripped_mod = IRModule()
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for global_var in mod.get_global_vars():
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func = mod[global_var]
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stripped_mod[global_var] = func.without_attr("global_symbol")
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return stripped_mod
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return tvm_ffi.structural_equal(remove_global_symbols(mod1), remove_global_symbols(mod2))
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def generate_design_space(
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kind: Literal["llvm", "cuda", "cuda-tensorcore", "hexagon"],
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mod: IRModule,
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target: Target,
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types: type | tuple[type, ...],
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sch_rules: list[ms.ScheduleRule] | None = None,
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) -> list[Schedule]:
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if sch_rules is None:
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sch_rules = get_rules(kind, types)
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else:
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assert types is None
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return ms.TuneContext(
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mod=mod,
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target=target,
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space_generator=ms.space_generator.PostOrderApply(
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sch_rules=sch_rules,
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postprocs=[],
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mutator_probs={},
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),
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task_name="test",
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).generate_design_space()
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def _find_match_sketch_id(
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mod: IRModule,
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sketches: list[Schedule],
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expected_mod: IRModule,
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expected_decision: list[tuple[str, list[int]]],
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*,
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debug_mask="all",
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) -> int | None:
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for sketch_id, sketch in enumerate(sketches):
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i = 0
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new_decisions = {}
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for inst in sketch.trace.insts:
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if not inst.kind.name.startswith("Sample"):
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continue
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assert i < len(expected_decision)
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if inst.kind.name == expected_decision[i][0]:
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new_decisions[inst] = expected_decision[i][1]
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i += 1
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if len(new_decisions) != len(expected_decision):
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continue
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sch = Schedule(mod, debug_mask=debug_mask)
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Trace(
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insts=sketch.trace.insts,
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decisions=new_decisions,
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).apply_to_schedule(sch, remove_postproc=True)
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if structural_equal_no_gs(sch.mod, expected_mod):
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verify_trace_roundtrip(sch=sch, mod=mod, debug_mask=debug_mask, text_format="json")
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return sketch_id
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return None
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def check_sketches(
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mod: IRModule,
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sketches: list[Schedule],
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expected_mods: list[IRModule],
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expected_decisions: list[list[tuple[str, list[int]]]],
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*,
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debug_mask="all",
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):
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assert len(expected_mods) == len(expected_decisions)
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assert len(sketches) == len(expected_mods)
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expected_mods = [
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IRModule({"main": m}) if not isinstance(m, IRModule) else m for m in expected_mods
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]
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sketches = list(sketches)
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for expected_id, (expected_mod, expected_decision) in enumerate(
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zip(expected_mods, expected_decisions)
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):
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sketch_id = _find_match_sketch_id(
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mod,
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sketches,
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expected_mod,
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expected_decision,
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debug_mask=debug_mask,
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)
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if sketch_id is None:
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raise AssertionError(
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f"Expected sketch #{expected_id} doesn't exist in the generated sketches."
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)
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sketches.pop(sketch_id)
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def print_sketches(sketches: list[Schedule]):
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for i, sch in enumerate(sketches):
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print(f"###### {i}")
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sch.mod.show(black_format=False)
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for inst in sch.trace.insts:
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if inst in sch.trace.decisions:
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print(f'("{inst.kind.name}", {sch.trace.decisions[inst]}),')
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