When I execute the test case in tests/python/frontend/tensorflow/test_forward.py, I try to change the mode to “” in _test_forward_nms_v3(…) function, then it will raise some error, like this:
File "test_forward.py", line 165, in run_tvm_graph
graph, lib, params = relay.build(mod, target, target_host, params)
File "/root/projects/tvm_open/python/tvm/relay/build_module.py", line 259, in build
graph_json, mod, params = bld_mod.build(mod, target, target_host, params)
File "/root/projects/tvm_open/python/tvm/relay/build_module.py", line 126, in build
self._build(mod, target, target_host)
File "tvm/_ffi/_cython/./packed_func.pxi", line 321, in tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 256, in tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./packed_func.pxi", line 245, in tvm._ffi._cy3.core.FuncCall3
File "tvm/_ffi/_cython/./base.pxi", line 160, in tvm._ffi._cy3.core.CALL
tvm._ffi.base.TVMError: Traceback (most recent call last):
[bt] (8) /root/projects/tvm_open/build/libtvm.so(tvm::relay::ExprFunctor<void (tvm::RelayExpr const&)>::VisitExpr(tvm::RelayExpr const&)+0x10c) [0x7fbc61b04f1e]
[bt] (7) /root/projects/tvm_open/build/libtvm.so(tvm::NodeFunctor<void (tvm::runtime::ObjectRef const&, tvm::relay::ExprFunctor<void (tvm::RelayExpr const&)>*)>::operator()(tvm::runtime::ObjectRef const&, tvm::relay::ExprFunctor<void (tvm::RelayExpr const&)>*) const+0x11e) [0x7fbc61b05d8c]
[bt] (6) /root/projects/tvm_open/build/libtvm.so(tvm::relay::ExprFunctor<void (tvm::RelayExpr const&)>::InitVTable()::{lambda(tvm::runtime::ObjectRef const&, tvm::relay::ExprFunctor<void (tvm::RelayExpr const&)>*)#6}::_FUN(tvm::runtime::ObjectRef const&, tvm::relay::ExprFunctor<void (tvm::RelayExpr const&)>*)+0x25) [0x7fbc61b05582]
[bt] (5) /root/projects/tvm_open/build/libtvm.so(tvm::relay::ExprFunctor<void (tvm::RelayExpr const&)>::InitVTable()::{lambda(tvm::runtime::ObjectRef const&, tvm::relay::ExprFunctor<void (tvm::RelayExpr const&)>*)#6}::operator()(tvm::runtime::ObjectRef const&, tvm::relay::ExprFunctor<void (tvm::RelayExpr const&)>*) const+0x3e) [0x7fbc61b05556]
[bt] (4) /root/projects/tvm_open/build/libtvm.so(tvm::relay::StorageAllocator::VisitExpr_(tvm::relay::CallNode const*)+0x167) [0x7fbc61d2ef4b]
[bt] (3) /root/projects/tvm_open/build/libtvm.so(tvm::relay::StorageAllocator::CreateToken(tvm::RelayExprNode const*, bool)+0x1b7) [0x7fbc61d2ecbb]
[bt] (2) /root/projects/tvm_open/build/libtvm.so(tvm::relay::StorageAllocator::Request(tvm::relay::StorageToken*)+0x33) [0x7fbc61d2f457]
[bt] (1) /root/projects/tvm_open/build/libtvm.so(tvm::relay::StorageAllocator::GetMemorySize(tvm::relay::StorageToken*)+0x16d) [0x7fbc61d2f255]
[bt] (0) /root/projects/tvm_open/build/libtvm.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x4e) [0x7fbc60f619be]
File "/root/projects/tvm_open/src/relay/backend/graph_plan_memory.cc", line 293
TVMError: Check failed: pval != nullptr: Cannot allocate memory symbolic tensor shape [?]