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[Bugfix][AutoScheduler] Fail to register ComputeDAG when deserializing tasks #7395

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Merged
comaniac merged 3 commits into from
Feb 4, 2021
Merged

[Bugfix][AutoScheduler] Fail to register ComputeDAG when deserializing tasks #7395

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[Bugfix][AutoScheduler] Fail to register ComputeDAG when deserialize …
comaniac Feb 2, 2021
47af519
fix test
comaniac Feb 3, 2021
3bdf174
trigger ci
comaniac Feb 4, 2021
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13 changes: 7 additions & 6 deletions python/tvm/auto_scheduler/search_task.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@
from .compute_dag import ComputeDAG, LayoutRewriteOption
from .cost_model import XGBModel
from .search_policy import SketchPolicy
from .workload_registry import register_workload_tensors
from .workload_registry import WORKLOAD_FUNC_REGISTRY, register_workload_tensors
from . import _ffi_api


Expand Down Expand Up @@ -335,11 +335,12 @@ def __setstate__(self, state):
except Exception: # pylint: disable=broad-except
raise RuntimeError("Invalid workload key %s" % state["workload_key"])

# The workload from a compute DAG does not have arguments and is not registered
# by default so we register it here. If the workload has already been registered,
# the later registration overrides the prvious one.
if len(workload) == 1:
register_workload_tensors(workload[0], state["compute_dag"].tensors)
# workload[0] is either the compute function name or the ComputeDAG hash.
# The compute functions are already registered when importing TVM, so here
# we only register the ComputeDAG workloads. If the same workload has
# already been registered, the later registration overrides the prvious one.
if workload[0] not in WORKLOAD_FUNC_REGISTRY:
register_workload_tensors(state["workload_key"], state["compute_dag"].tensors)

self.__init_handle_by_constructor__(
_ffi_api.SearchTask,
Expand Down
2 changes: 1 addition & 1 deletion tests/python/unittest/test_auto_scheduler_compute_dag.py
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Original file line number Diff line number Diff line change
Expand Up @@ -121,7 +121,7 @@ def test_stage_order():
)

task2 = pickle.loads(pickle.dumps(task))
assert "test-key" in auto_scheduler.workload_registry.WORKLOAD_FUNC_REGISTRY
assert '["test-key"]' in auto_scheduler.workload_registry.WORKLOAD_FUNC_REGISTRY
assert str(task.compute_dag.get_init_state()) == str(task2.compute_dag.get_init_state())
assert len(task.compute_dag.get_init_state().stage_ops) == len(
task2.compute_dag.get_init_state().stage_ops
Expand Down