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[MetaSchedule][M3c] Add Per-Store-Feature #9860

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6 changes: 5 additions & 1 deletion include/tvm/tir/stmt.h
Original file line number Diff line number Diff line change
Expand Up @@ -1251,7 +1251,7 @@ constexpr const char* extern_scope = "extern_scope";
* This can hint some code generator to create a new function for compute.
*/
constexpr const char* compute_scope = "compute_scope";
/*! \brief Mark storage alignement requirement of buffers */
/*! \brief Mark storage alignment requirement of buffers */
constexpr const char* storage_alignment = "storage_alignment";
/*! \brief Mark storage scope of realization */
constexpr const char* realize_scope = "realize_scope";
Expand All @@ -1263,6 +1263,10 @@ constexpr const char* device_type = "device_type";
constexpr const char* loop_scope = "loop_scope";
/*! \brief Mark of reduce scope */
constexpr const char* reduce_scope = "reduce_scope";
/*! \brief Pragma: auto-unroll, max_step */
constexpr const char* pragma_auto_unroll_max_step = "pragma_auto_unroll_max_step";
/*! \brief Pragma: unroll explicit */
constexpr const char* pragma_unroll_explicit = "pragma_unroll_explicit";
/*! \brief Mark region is guarded by the pragma extension */
constexpr const char* pragma_scope_prefix = "pragma_";
/*! \brief Import C source or file into the final code gen module */
Expand Down
2 changes: 2 additions & 0 deletions python/tvm/meta_schedule/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -23,4 +23,6 @@
from . import search_strategy
from . import schedule_rule
from . import integration
from . import feature_extractor
from .tune_context import TuneContext
from .search_strategy import MeasureCandidate
1 change: 1 addition & 0 deletions python/tvm/meta_schedule/feature_extractor/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -20,4 +20,5 @@
measure candidates for use in cost model.
"""
from .feature_extractor import FeatureExtractor, PyFeatureExtractor
from .per_store_feature import PerStoreFeature
from .random_feature_extractor import RandomFeatureExtractor
60 changes: 60 additions & 0 deletions python/tvm/meta_schedule/feature_extractor/per_store_feature.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,60 @@
# 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.
"""We extract one feature vector per BufferStoreNode statement in a TIR Stmt,
so we call this feature as "per-store" feature.
"""
from tvm._ffi import register_object

from .. import _ffi_api
from .feature_extractor import FeatureExtractor


@register_object("meta_schedule.PerStoreFeature")
class PerStoreFeature(FeatureExtractor):
"""PerStoreFeature extracts one feature vector per BufferStoreNode

Parameters
----------
buffers_per_store : int
The number of buffers in each BufferStore; Pad or truncate if necessary.
arith_intensity_curve_num_samples : int
The number of samples used in the arithmetic intensity curve.
cache_line_bytes : int
The number of bytes in a cache line.
"""

buffers_per_store: int
"""The number of buffers in each BufferStore; Pad or truncate if necessary."""
arith_intensity_curve_num_samples: int # pylint: disable=invalid-name
"""The number of samples used in the arithmetic intensity curve."""
cache_line_bytes: int
"""The number of bytes in a cache line."""
feature_vector_length: int
"""Length of the feature vector."""

def __init__(
self,
buffers_per_store: int = 5,
arith_intensity_curve_num_samples: int = 10,
cache_line_bytes: int = 64,
):
self.__init_handle_by_constructor__(
_ffi_api.FeatureExtractorPerStoreFeature, # type: ignore # pylint: disable=no-member
buffers_per_store,
arith_intensity_curve_num_samples,
cache_line_bytes,
)
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