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apache--tvm/python/tvm/backend/cuda/lang/__init__.py
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chore: import upstream snapshot with attribution
2026-07-13 13:36:25 +08:00

71 lines
2.3 KiB
Python

# 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.
"""CUDA-specific TIRx language helpers."""
from importlib import import_module
__all__ = [
"BaseTileScheduler",
"ClusterPersistentScheduler2D",
"FlashAttentionLPTScheduler",
"FlashAttentionLinearScheduler",
"GroupMajor3D",
"IndexedTripleTileScheduler",
"MBarrier",
"Pipeline",
"PipelineState",
"RankAwareGroupMajorTileScheduler",
"SMEMPool",
"SmemDescriptor",
"TCGen05Bar",
"TMABar",
"TMEMPool",
"TMEMStages",
"WarpRole",
"WarpgroupRole",
]
_HELPER_MODULES = {
"MBarrier": ".pipeline",
"Pipeline": ".pipeline",
"PipelineState": ".pipeline",
"BaseTileScheduler": ".tile_scheduler",
"ClusterPersistentScheduler2D": ".tile_scheduler",
"FlashAttentionLPTScheduler": ".tile_scheduler",
"FlashAttentionLinearScheduler": ".tile_scheduler",
"GroupMajor3D": ".tile_scheduler",
"IndexedTripleTileScheduler": ".tile_scheduler",
"RankAwareGroupMajorTileScheduler": ".tile_scheduler",
"SMEMPool": ".alloc_pool",
"TCGen05Bar": ".pipeline",
"TMABar": ".pipeline",
"TMEMPool": ".alloc_pool",
"TMEMStages": ".alloc_pool",
"WarpRole": ".warp_role",
"WarpgroupRole": ".warp_role",
"SmemDescriptor": ".smem_desc",
}
def __getattr__(name: str):
module_name = _HELPER_MODULES.get(name)
if module_name is None:
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
value = getattr(import_module(module_name, __name__), name)
globals()[name] = value
return value