[Bug] Executing `meta_schedule.testing.relay_workload.get_network` causes a crash

Hi there, executing the following code causes a crash:

from tvm.meta_schedule.testing.relay_workload import get_network
get_network('bert_base', [1, 128])

(py38) root@d243fdd3cf8c:~/tlm/build# pip list | grep torch
torch                    1.13.1
torchaudio               0.13.1
torchvision              0.14.1
(py38) root@d243fdd3cf8c:~/tlm/build# cat /etc/issue
Ubuntu 20.04.6 LTS \n \l

Traceback (most recent call last):
  File "test.py", line 2, in <module>
    get_network('bert_base', [1, 128])
  File "/root/tlm/python/tvm/meta_schedule/testing/relay_workload.py", line 247, in get_network
    mod, params_bytearray, inputs = _get_network((name, input_shape, layout))  # use mp kind of slow, not use may lead oom
  File "/root/tlm/python/tvm/meta_schedule/testing/relay_workload.py", line 164, in _get_network
    mod, params = relay.frontend.from_pytorch(scripted_model, shape_list)
  File "/root/tlm/python/tvm/relay/frontend/pytorch.py", line 5002, in from_pytorch
    outputs = converter.convert_operators(operator_nodes, outputs, ret_name)
  File "/root/tlm/python/tvm/relay/frontend/pytorch.py", line 4256, in convert_operators
    relay_out = relay_op(
  File "/root/tlm/python/tvm/relay/frontend/pytorch.py", line 1732, in linear
    mm_out = self.matmul(
  File "/root/tlm/python/tvm/relay/frontend/pytorch.py", line 1961, in matmul
    a = _op.broadcast_to(a, batch_shape + list(a_shape[-2:]))
  File "/root/tlm/python/tvm/relay/op/transform.py", line 865, in broadcast_to
    return _make.broadcast_to(data, shape)
  File "/root/tlm/python/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
    raise get_last_ffi_error()
tvm._ffi.base.TVMError: Traceback (most recent call last):
  2: TVMFuncCall
  1: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<tvm::runtime::TypedPackedFunc<tvm::RelayExpr (tvm::RelayExpr, tvm::runtime::Array<tvm::Integer, void>)>::AssignTypedLambda<tvm::RelayExpr (*)(tvm::RelayExpr, tvm::runtime::Array<tvm::Integer, void>)>(tvm::RelayExpr (*)(tvm::RelayExpr, tvm::runtime::Array<tvm::Integer, void>), std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  0: tvm::runtime::TVMMovableArgValueWithContext_::operator tvm::runtime::Array<tvm::Integer, void><tvm::runtime::Array<tvm::Integer, void> >() const
  3: TVMFuncCall
  2: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<tvm::runtime::TypedPackedFunc<tvm::RelayExpr (tvm::RelayExpr, tvm::runtime::Array<tvm::Integer, void>)>::AssignTypedLambda<tvm::RelayExpr (*)(tvm::RelayExpr, tvm::runtime::Array<tvm::Integer, void>)>(tvm::RelayExpr (*)(tvm::RelayExpr, tvm::runtime::Array<tvm::Integer, void>), std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  1: tvm::runtime::TVMMovableArgValueWithContext_::operator tvm::runtime::Array<tvm::Integer, void><tvm::runtime::Array<tvm::Integer, void> >() const
  0: tvm::runtime::Array<tvm::Integer, void> tvm::runtime::TVMPODValue_::AsObjectRef<tvm::runtime::Array<tvm::Integer, void> >() const
  File "/root/tlm/include/tvm/runtime/packed_func.h", line 777
TVMError: In function relay.op._make.broadcast_to(0: RelayExpr, 1: Array<IntImm>) -> RelayExpr: error while converting argument 1: [02:00:59] /root/tlm/include/tvm/runtime/packed_func.h:1866: 
---------------------------------------------------------------
An error occurred during the execution of TVM.
For more information, please see: https://tvm.apache.org/docs/errors.html
---------------------------------------------------------------
  Check failed: (!checked_type.defined()) is false: Expected Array[IntImm], but got Array[index 0: tir.Any]

apache / tvm

[Bug] Executing `meta_schedule.testing.relay_workload.get_network` causes a crash #15589