[M3c][Meta Schedule] Measure Callbacks

include/tvm/meta_schedule/measure_callback.h

@@ -0,0 +1,125 @@
+/*
+ * 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.
+ */
+
+#ifndef TVM_META_SCHEDULE_MEASURE_CALLBACK_H_
+#define TVM_META_SCHEDULE_MEASURE_CALLBACK_H_
+
+#include <tvm/meta_schedule/builder.h>
+#include <tvm/meta_schedule/runner.h>
+#include <tvm/meta_schedule/search_strategy.h>
+#include <tvm/meta_schedule/tune_context.h>
+
+namespace tvm {
+namespace meta_schedule {
+
+class TaskScheduler;
+
+/*! \brief Rules to apply after measure results is available. */
+class MeasureCallbackNode : public runtime::Object {
+ public:
+  /*! \brief Virtual destructor. */
+  virtual ~MeasureCallbackNode() = default;
+
+  void VisitAttrs(tvm::AttrVisitor* v) {}
+
+  /*!
+   * \brief Apply a measure callback rule with given arguments.
+   * \param task_scheduler The task scheduler.
+   * \param tasks The list of tune context to process.
+   * \param measure_candidates The measure candidates.
+   * \param builds The builder results by building the measure candidates.
+   * \param results The runner results by running the built measure candidates.
+   * \return Whether the measure callback was successfully applied.
+   */
+  virtual bool Apply(const TaskScheduler& task_scheduler,                //
+                     const Array<TuneContext> tasks,                     //
+                     const Array<MeasureCandidate>& measure_candidates,  //
+                     const Array<BuilderResult>& builds,                 //
+                     const Array<RunnerResult>& results) = 0;
+
+  static constexpr const char* _type_key = "meta_schedule.MeasureCallback";
+  TVM_DECLARE_BASE_OBJECT_INFO(MeasureCallbackNode, Object);
+};
+
+/*! \brief The measure callback with customized methods on the python-side. */
+class PyMeasureCallbackNode : public MeasureCallbackNode {
+ public:
+  /*!
+   * \brief Apply a measure callback to the given schedule.
+   * \param task_scheduler The task scheduler.
+   * \param tasks The list of tune context to process.
+   * \param measure_candidates The measure candidates.
+   * \param builds The builder results by building the measure candidates.
+   * \param results The runner results by running the built measure candidates.
+   * \return Whether the measure callback was successfully applied.
+   */
+  using FApply =
+      runtime::TypedPackedFunc<bool(const TaskScheduler& task_scheduler,                //
+                                    const Array<TuneContext> tasks,                     //
+                                    const Array<MeasureCandidate>& measure_candidates,  //
+                                    const Array<BuilderResult>& builds,                 //
+                                    const Array<RunnerResult>& results)>;
+  /*!
+   * \brief Get the measure callback function as string with name.
+   * \return The string of the measure callback function.
+   */
+  using FAsString = runtime::TypedPackedFunc<String()>;
+
+  /*! \brief The packed function to the `Apply` funcion. */
+  FApply f_apply;
+  /*! \brief The packed function to the `AsString` funcion. */
+  FAsString f_as_string;
+
+  void VisitAttrs(tvm::AttrVisitor* v) {
+    // `f_apply` is not visited
+    // `f_as_string` is not visited
+  }
+
+  bool Apply(const TaskScheduler& task_scheduler,                //
+             const Array<TuneContext> tasks,                     //
+             const Array<MeasureCandidate>& measure_candidates,  //
+             const Array<BuilderResult>& builds,                 //
+             const Array<RunnerResult>& results) final {
+    return this->f_apply(task_scheduler, tasks, measure_candidates, builds, results);
+  }
+
+  static constexpr const char* _type_key = "meta_schedule.PyMeasureCallback";
+  TVM_DECLARE_FINAL_OBJECT_INFO(PyMeasureCallbackNode, MeasureCallbackNode);
+};
+
+/*!
+ * \brief Managed reference to MeasureCallbackNode
+ * \sa MeasureCallbackNode
+ */
+class MeasureCallback : public runtime::ObjectRef {
+ public:
+  /*!
+   * \brief Create a measure callback with customized methods on the python-side.
+   * \param f_apply The packed function of `Apply`.
+   * \return The measure callback created.
+   */
+  TVM_DLL static MeasureCallback PyMeasureCallback(PyMeasureCallbackNode::FApply f_apply,  //
+                                                   PyMeasureCallbackNode::FAsString f_as_string);
+  TVM_DEFINE_MUTABLE_OBJECT_REF_METHODS(MeasureCallback, ObjectRef, MeasureCallbackNode);
+};
+
+}  // namespace meta_schedule
+}  // namespace tvm
+
+#endif  // TVM_META_SCHEDULE_MEASURE_CALLBACK_H_

include/tvm/meta_schedule/task_scheduler.h

@@ -21,6 +21,7 @@
 
 #include <tvm/meta_schedule/builder.h>
 #include <tvm/meta_schedule/database.h>
+#include <tvm/meta_schedule/measure_callback.h>
 #include <tvm/meta_schedule/runner.h>
 #include <tvm/meta_schedule/tune_context.h>
 
@@ -73,6 +74,8 @@ class TaskSchedulerNode : public runtime::Object {
   Runner runner{nullptr};
   /*! \brief The database of the scheduler. */
   Database database{nullptr};
+  /*! \brief The list of measure callbacks of the scheduler. */
+  Array<MeasureCallback> measure_callbacks;
 
   /*! \brief The default desctructor. */
   virtual ~TaskSchedulerNode() = default;
@@ -82,6 +85,7 @@ class TaskSchedulerNode : public runtime::Object {
     v->Visit("builder", &builder);
     v->Visit("runner", &runner);
     v->Visit("database", &database);
+    v->Visit("measure_callbacks", &measure_callbacks);
   }
 
   /*! \brief Auto-tuning. */
@@ -222,8 +226,14 @@ class TaskScheduler : public runtime::ObjectRef {
   TVM_DLL static TaskScheduler RoundRobin(Array<TuneContext> tasks,  //
                                           Builder builder,           //
                                           Runner runner,             //
-                                          Database database);
+                                          Database database,         //
+                                          Array<MeasureCallback> measure_callbacks);
   TVM_DLL static TaskScheduler PyTaskScheduler(
+      Array<TuneContext> tasks,                                   //
+      Builder builder,                                            //
+      Runner runner,                                              //
+      Database database,                                          //
+      Array<MeasureCallback> measure_callbacks,                   //
       PyTaskSchedulerNode::FTune f_tune,                          //
       PyTaskSchedulerNode::FInitializeTask f_initialize_task,     //
       PyTaskSchedulerNode::FSetTaskStopped f_set_task_stopped,    //

python/tvm/meta_schedule/measure_callback/__init__.py

@@ -0,0 +1,20 @@
+# 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.
+"""
+The tvm.meta_schedule.measure_callback package.
+"""
+from .measure_callback import MeasureCallback, PyMeasureCallback

python/tvm/meta_schedule/measure_callback/measure_callback.py

@@ -0,0 +1,99 @@
+# 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.
+"""Meta Schedule MeasureCallback."""
+
+from typing import TYPE_CHECKING, List
+
+from tvm._ffi import register_object
+from tvm.runtime import Object
+from tvm.meta_schedule import TuneContext
+from tvm.meta_schedule.search_strategy import MeasureCandidate
+from tvm.meta_schedule.builder import BuilderResult
+from tvm.meta_schedule.runner import RunnerResult
+from tvm.meta_schedule.utils import _get_hex_address
+
+from .. import _ffi_api
+
+if TYPE_CHECKING:
+    from ..tune_context import TuneContext
+    from ..task_scheduler import TaskScheduler
+
+
+@register_object("meta_schedule.MeasureCallback")
+class MeasureCallback(Object):
+    """Rules to apply after measure results is available."""
+
+    def apply(
+        self,
+        task_scheduler: "TaskScheduler",
+        tasks: List["TuneContext"],
+        measure_candidates: List[MeasureCandidate],
+        builds: List[BuilderResult],
+        results: List[RunnerResult],
+    ) -> bool:
+        """Apply a measure callback to the given schedule.
+
+        Parameters
+        ----------
+        task_scheduler: TaskScheduler
+            The task scheduler.
+        tasks: List[TuneContext]
+            The list of tune context to process.
+        measure_candidats: List[MeasureCandidate]
+            The measure candidates.
+        builds: List[BuilderResult]
+            The builder results by building the measure candidates.
+        results: List[RunnerResult]
+            The runner results by running the built measure candidates.
+
+        Returns
+        -------
+        result : bool
+            Whether the measure callback was successfully applied.
+        """
+        return _ffi_api.MeasureCallbackApply(
+            self, task_scheduler, tasks, measure_candidates, builds, results
+        )
+
+
+@register_object("meta_schedule.PyMeasureCallback")
+class PyMeasureCallback(MeasureCallback):
+    """An abstract MeasureCallback with customized methods on the python-side."""
+
+    def __init__(self):
+        """Constructor."""
+
+        def f_apply(
+            task_scheduler: "TaskScheduler",
+            tasks: List[TuneContext],
+            measure_candidates: List[MeasureCandidate],
+            builds: List[BuilderResult],
+            results: List[RunnerResult],
+        ) -> bool:
+            return self.apply(task_scheduler, tasks, measure_candidates, builds, results)
+
+        def f_as_string() -> str:
+            return str(self)
+
+        self.__init_handle_by_constructor__(
+            _ffi_api.MeasureCallbackPyMeasureCallback,  # type: ignore # pylint: disable=no-member
+            f_apply,
+            f_as_string,
+        )
+
+    def __str__(self) -> str:
+        return f"PyMeasureCallback({_get_hex_address(self.handle)})"

python/tvm/meta_schedule/mutator/mutator.py

@@ -37,7 +37,7 @@ def initialize_with_tune_context(self, tune_context: "TuneContext") -> None:
         Parameters
         ----------
         tune_context : TuneContext
-            The tuning context for initializing the design space generator.
+            The tuning context for initializing the mutator.
         """
         _ffi_api.MutatorInitializeWithTuneContext(  # type: ignore # pylint: disable=no-member
             self, tune_context

python/tvm/meta_schedule/postproc/postproc.py

@@ -46,7 +46,7 @@ def initialize_with_tune_context(self, tune_context: "TuneContext") -> None:
         Parameters
         ----------
         tune_context : TuneContext
-            The tuning context for initializing the design space generator.
+            The tuning context for initializing the post processing.
         """
         _ffi_api.PostprocInitializeWithTuneContext(  # type: ignore # pylint: disable=no-member
             self, tune_context

python/tvm/meta_schedule/schedule_rule/schedule_rule.py

@@ -41,7 +41,7 @@ def initialize_with_tune_context(self, tune_context: "TuneContext") -> None:
         Parameters
         ----------
         tune_context : TuneContext
-            The tuning context for initializing the design space generator.
+            The tuning context for initializing the schedule rule.
         """
         _ffi_api.ScheduleRuleInitializeWithTuneContext(  # type: ignore # pylint: disable=no-member
             self, tune_context

python/tvm/meta_schedule/search_strategy/__init__.py

@@ -20,6 +20,6 @@
 to generate measure candidates.
 """
 
-from .search_strategy import SearchStrategy, PySearchStrategy
+from .search_strategy import SearchStrategy, PySearchStrategy, MeasureCandidate
 from .replay_trace import ReplayTrace
 from .replay_func import ReplayFunc

python/tvm/meta_schedule/task_scheduler/round_robin.py

@@ -19,6 +19,7 @@
 from typing import List, TYPE_CHECKING
 
 from tvm._ffi import register_object
+from tvm.meta_schedule.measure_callback.measure_callback import MeasureCallback
 
 from ..builder import Builder
 from ..runner import Runner
@@ -41,6 +42,7 @@ def __init__(
         builder: Builder,
         runner: Runner,
         database: Database,
+        measure_callbacks: List[MeasureCallback] = [],
     ) -> None:
         """Constructor.
 
@@ -54,11 +56,14 @@ def __init__(
             The runner.
         database : Database
             The database.
+        measure_callbacks: List[MeasureCallback]
+            The list of measure callbacks of the scheduler.
         """
         self.__init_handle_by_constructor__(
             _ffi_api.TaskSchedulerRoundRobin,  # type: ignore # pylint: disable=no-member
             tasks,
             builder,
             runner,
             database,
+            measure_callbacks,
         )