42 lines
1.7 KiB
Python
42 lines
1.7 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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"""Specialized applications of trace"""
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from tvm.s_tir import Schedule, Trace
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from ...target import Target
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from . import _ffi_api
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def schedule_using_anchor_trace(sch: Schedule, anchor_trace: Trace, target: Target) -> None:
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"""Apply the trace from a TIR module whose anchor block is the same but fused elemewise op
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blocks differ. This function can be used for transferring a trace tuned on a conv2d -> add
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subgraph to other subgraphs having the same conv2d workload, for example. We call such trace
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an "anchor trace". Those blocks that are not scheduled by the given anchor trace will be either
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inlined or parallelized.
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Parameters
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----------
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sch : Schedule
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The target schedule
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anchor_trace: Trace
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The trace generated for other TIR module having the same anchor block
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target : tvm.target.Target
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The compilation target
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"""
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_ffi_api.ScheduleUsingAnchorTrace(sch, anchor_trace, target) # type: ignore
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