engineer1109 opened a new issue, #13077:
URL: https://github.com/apache/tvm/issues/13077
### Expected behavior
No Crash
### Actual behavior
Crash Stack
```
Exception has occurred: TVMError
Traceback (most recent call last):
4: TVMFuncCall
3:
tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<tvm::runtime::TypedPackedFunc<tvm::runtime::Module
(tvm::runtime::Module,
std::string)>::AssignTypedLambda<tvm::runtime::__mk_TVM4::{lambda(tvm::runtime::Module,
std::string)#1}>(tvm::runtime::__mk_TVM4::{lambda(tvm::runtime::Module,
std::string)#1}, std::string)::{lambda(tvm::runtime::TVMArgs const&,
tvm::runtime::TVMRetValue*)#1}> >::Call(tvm::runtime::PackedFuncObj const*,
tvm::runtime::__mk_TVM4::{lambda(tvm::runtime::Module, std::string)#1},
tvm::runtime::TVMArgs const&)
2: tvm::runtime::RPCWrappedFunc::operator()(tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*) const
1: tvm::runtime::LocalSession::CallFunc(void*, TVMValue const*, int
const*, int, std::function<void (tvm::runtime::TVMArgs)> const&)
0:
tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*,
tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) [clone .cold]
File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in
tvm._ffi._cy3.core.tvm_callback
File "/usr/local/lib/python3.8/dist-packages/tvm/rpc/server.py", line 70,
in load_module
m = _load_module(path)
File "/usr/local/lib/python3.8/dist-packages/tvm/runtime/module.py", line
607, in load_module
return _ffi_api.ModuleLoadFromFile(path, fmt)
File "tvm/_ffi/_cython/./packed_func.pxi", line 331, in
tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 262, in
tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./packed_func.pxi", line 251, in
tvm._ffi._cy3.core.FuncCall3
File "tvm/_ffi/_cython/./base.pxi", line 181, in
tvm._ffi._cy3.core.CHECK_CALL
8: TVMFuncCall
7: _ZN3tvm7runtime13PackedFun
6: tvm::runtime::TypedPackedFunc<tvm::runtime::Module (std::string const&,
std::string const&)>::AssignTypedLambda<tvm::runtime::Module (*)(std::string
const&, std::string const&)>(tvm::runtime::Module (*)(std::string const&,
std::string const&), std::string)::{lambda(tvm::runtime::TVMArgs const&,
tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const&,
tvm::runtime::TVMRetValue*) const
5: tvm::runtime::Module::LoadFromFile(std::string const&, std::string
const&)
4:
tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<tvm::runtime::__mk_TVM0::{lambda(tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*)#1}> >::Call(tvm::runtime::PackedFuncObj const*,
tvm::runtime::__mk_TVM0, tvm::runtime::TVMRetValue)
3:
tvm::runtime::CreateModuleFromLibrary(tvm::runtime::ObjectPtr<tvm::runtime::Library>,
std::function<tvm::runtime::PackedFunc (int (*)(TVMValue*, int*, int,
TVMValue*, int*, void*), tvm::runtime::ObjectPtr<tvm::runtime::Object> const&)>)
2: tvm::runtime::ProcessModuleBlob(char const*,
tvm::runtime::ObjectPtr<tvm::runtime::Library>,
std::function<tvm::runtime::PackedFunc (int (*)(TVMValue*, int*, int,
TVMValue*, int*, void*), tvm::runtime::ObjectPtr<tvm::runtime::Object>
const&)>, tvm::runtime::Module*, tvm::runtime::ModuleNode**)
1: tvm::runtime::LoadModuleFromBinary(std::string const&, dmlc::Stream*)
0: _ZN3tvm7runtime6deta
File "/workspace/tvm/src/runtime/library_module.cc", line 118
TVMError: Binary was created using {opencl} but a loader of that name is not
registered. Available loaders are ethos-n, AotExecutorFactory, metadata_module,
const_loader, metadata, arm_compute_lib, VMExecutable, GraphRuntimeFactory,
GraphExecutorFactory. Perhaps you need to recompile with this runtime enabled.
File "/home/wjl/test/tvm/test_tvmc.py", line 17, in <module>
result = tvmc.run(package, device="CL")
```
### Environment
Ubuntu 20.04 GCC 9.4.0 TVM 0.9.0
### Steps to reproduce
https://drive.google.com/file/d/1fQ-5qO8UTT44-sZFPQOD4MXfNR13Zf-6/view?usp=sharing
Model and Code
```
from tvm.driver import tvmc
import tvm
print(tvm.__version__)
model = tvmc.load('mobilenet_v1_infer.onnx', shape_dict={'input' : [1, 3,
244, 224]})
model.save("test.tar")
model.summary();
package = tvmc.compile(model, target="opencl", package_path="test1.tar")
#new_package = tvmc.TVMCPackage(package_path="test.so")
result = tvmc.run(package, device="CL")
print(result)
```
### Triage
Please refer to the list of label tags linked above to find the relevant
tags and add them here in a bullet format (example below).
* needs-triage
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