19 #ifndef TVM_META_SCHEDULE_RUNNER_H_
20 #define TVM_META_SCHEDULE_RUNNER_H_
32 namespace meta_schedule {
50 static constexpr
const char*
_type_key =
"meta_schedule.RunnerInput";
83 static constexpr
const char*
_type_key =
"meta_schedule.RunnerResult";
135 ICHECK(
f_done !=
nullptr) <<
"PyRunnerFuture's Done method not implemented!";
143 ICHECK(
f_result !=
nullptr) <<
"PyRunnerFuture's Result method not implemented!";
147 static constexpr
const char*
_type_key =
"meta_schedule.RunnerFuture";
191 static constexpr
const char*
_type_key =
"meta_schedule.Runner";
223 ICHECK(
f_run !=
nullptr) <<
"PyRunner's Run method not implemented!";
224 return f_run(runner_inputs);
227 static constexpr
const char*
_type_key =
"meta_schedule.PyRunner";
Runtime Array container types.
Visitor class to get the attributes of an AST/IR node. The content is going to be called for each fie...
Definition: reflection.h:52
Array, container representing a contiguous sequence of ObjectRefs.
Definition: array.h:289
Base class of all object reference.
Definition: object.h:519
base class of all object containers.
Definition: object.h:171
Optional container that to represent to a Nullable variant of T.
Definition: optional.h:51
Reference to string objects.
Definition: string.h:98
constexpr const char * device_type
The device type.
Definition: stmt.h:1422
runtime implementation for LibTorch/TorchScript.
Definition: analyzer.h:36
A managed object in the TVM runtime.
Runtime Optional container types.
Type-erased function used across TVM API.
Reflection and serialization of compiler IR/AST nodes.
Runtime String container types.