chore: import upstream snapshot with attribution

python/tvm/s_tir/meta_schedule/trace_apply.py

@@ -0,0 +1,41 @@
+# 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.
+"""Specialized applications of trace"""
+
+from tvm.s_tir import Schedule, Trace
+
+from ...target import Target
+from . import _ffi_api
+
+
+def schedule_using_anchor_trace(sch: Schedule, anchor_trace: Trace, target: Target) -> None:
+    """Apply the trace from a TIR module whose anchor block is the same but fused elemewise op
+    blocks differ. This function can be used for transferring a trace tuned on a conv2d -> add
+    subgraph to other subgraphs having the same conv2d workload, for example. We call such trace
+    an "anchor trace". Those blocks that are not scheduled by the given anchor trace will be either
+    inlined or parallelized.
+
+    Parameters
+    ----------
+    sch : Schedule
+        The target schedule
+    anchor_trace: Trace
+        The trace generated for other TIR module having the same anchor block
+    target : tvm.target.Target
+        The compilation target
+    """
+    _ffi_api.ScheduleUsingAnchorTrace(sch, anchor_trace, target)  # type: ignore