areusch opened a new issue #9013:
URL: https://github.com/apache/tvm/issues/9013
I think this might be a compiler caching bug cc @tqchen @jroesch @mbs-octoml
. Not caught in the regression because the regression rebuilds only changed
tutorials.
Steps to reproduce:
1. `git checkout dc2f70e3c8a9b14b9e414ecf768ad32e6c3c3960`
2. `rm -rf build`
3. `docker/bash.sh ci_gpu tests/scripts/task_config_build_gpu.sh`
4. `docker/bash.sh ci_gpu tests/scripts/task_build.sh build -j16`
5. `docker/bash.sh ci_gpu bash -c 'cd docs && make clean'`
6. `docker/bash.sh ci_gpu tests/scripts/task_ci_setup.sh`
7. `docker/bash.sh ci_gpu tests/scripts/task_python_docs.sh`
Will show this traceback somewhere along the way. micro_autotune was just
trying to build a relay model. I _think_ the shapes look correct to me.
```
conv2d: requires that `0`, the input channels (0) divided by groups (1),
[1324/4555]
must match the input channels of the weight `3`, where the weight shape is
([6, 3, 5, 5]).
The type inference pass was unable to infer a type for this expression.
This usually occurs when an operator call is under constrained in some way,
check other reported errors for hints of what may of happened.
WARNING: /home/areusch/ws/tvm4/tutorials/micro/micro_autotune.py failed to
execute correctly: Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/sphinx_gallery/gen_rst.py",
line 480, in _memory_usage
out = func()
File "/usr/local/lib/python3.6/dist-packages/sphinx_gallery/gen_rst.py",
line 465, in __call__
exec(self.code, self.globals)
File "/home/areusch/ws/tvm4/tutorials/micro/micro_autotune.py", line 179,
in <module>
lowered = tvm.relay.build(relay_mod, target=TARGET, params=params)
File "../../python/tvm/relay/build_module.py", line 358, in build
mod=ir_mod, target=target, params=params, executor=executor,
mod_name=mod_name
File "../../python/tvm/relay/build_module.py", line 172, in build
self._build(mod, target, target_host, executor, mod_name)
File "tvm/_ffi/_cython/./packed_func.pxi", line 323, in
tvm._ffi._cy3.core.PackedFuncBase.__call__
File "tvm/_ffi/_cython/./packed_func.pxi", line 267, in
tvm._ffi._cy3.core.FuncCall
File "tvm/_ffi/_cython/./base.pxi", line 163, in tvm._ffi._cy3.core.CALL
tvm.error.DiagnosticError: Traceback (most recent call last):
27: TVMFuncCall
at /home/areusch/ws/tvm4/src/runtime/c_runtime_api.cc:474
26: tvm::runtime::PackedFunc::CallPacked(tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*) const
at /home/areusch/ws/tvm4/include/tvm/runtime/packed_func.h:1151
25: std::function<void (tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*)>::operator()(tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*) const
at /usr/include/c++/7/bits/std_function.h:706
24: std::_Function_handler<void (tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*),
tvm::relay::backend::RelayBuildModule::GetFunction(std::__cxx11::basic_string<char,
std::char_traits<c
har>, std::allocator<char> > const&,
tvm::runtime::ObjectPtr<tvm::runtime::Object>
const&)::{lambda(tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*)#3}>::_M_invoke(std::_Any_data const&,
tvm::runtime::TVMArgs&&, tvm::runtime::TVMRetValue*&&)
at /usr/include/c++/7/bits/std_function.h:316
23:
tvm::relay::backend::RelayBuildModule::GetFunction(std::__cxx11::basic_string<char,
std::char_traits<char>, std::allocator<char> > const&,
tvm::runtime::ObjectPtr<tvm::runtime::Object
> const&)::{lambda(tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*)#3}::operator()(tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*) const
at /home/areusch/ws/tvm4/src/relay/backend/build_module.cc:181
22: tvm::relay::backend::RelayBuildModule::Build(tvm::IRModule,
tvm::runtime::Map<tvm::Integer, tvm::Target, void, void> const&, tvm::Target
const&, tvm::runtime::String, tvm::runtime::St
ring)
at /home/areusch/ws/tvm4/src/relay/backend/build_module.cc:288
21: tvm::relay::backend::RelayBuildModule::BuildRelay(tvm::IRModule,
std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>,
std::allocator<char> >, tvm::runtime::NDAr
ray, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>,
std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char,
std::char_traits<char>, std::allocator<char>
> >, std::allocator<std::pair<std::__cxx11::basic_string<char,
std::char_traits<char>, std::allocator<char> > const, tvm::runtime::NDArray> >
> const&, tvm::runtime::String)
at /home/areusch/ws/tvm4/src/relay/backend/build_module.cc:479
20: tvm::relay::backend::RelayBuildModule::Optimize(tvm::IRModule,
tvm::runtime::Map<tvm::Integer, tvm::Target, void, void> const&,
std::unordered_map<std::__cxx11::basic_string<char, std
::char_traits<char>, std::allocator<char> >, tvm::runtime::NDArray,
std::hash<std::__cxx11::basic_string<char, std::char_traits<char>,
std::allocator<char> > >, std::equal_to<std::__cxx11::
basic_string<char, std::char_traits<char>, std::allocator<char> > >,
std::allocator<std::pair<std::__cxx11::basic_string<char,
std::char_traits<char>, std::allocator<char> > const, tvm::run
time::NDArray> > > const&)
at /home/areusch/ws/tvm4/src/relay/backend/build_module.cc:329
19: tvm::transform::Pass::operator()(tvm::IRModule) const
at /home/areusch/ws/tvm4/src/ir/transform.cc:255
18: tvm::transform::Pass::operator()(tvm::IRModule,
tvm::transform::PassContext const&) const
at /home/areusch/ws/tvm4/src/ir/transform.cc:267
17: tvm::transform::SequentialNode::operator()(tvm::IRModule,
tvm::transform::PassContext const&) const
at /home/areusch/ws/tvm4/src/ir/transform.cc:481
16: tvm::transform::Pass::operator()(tvm::IRModule,
tvm::transform::PassContext const&) const
at /home/areusch/ws/tvm4/src/ir/transform.cc:267
15: tvm::relay::transform::FunctionPassNode::operator()(tvm::IRModule,
tvm::transform::PassContext const&) const
at /home/areusch/ws/tvm4/src/relay/ir/transform.cc:160
14: tvm::transform::Pass::operator()(tvm::IRModule) const
at /home/areusch/ws/tvm4/src/ir/transform.cc:255
13: tvm::transform::Pass::operator()(tvm::IRModule,
tvm::transform::PassContext const&) const
at /home/areusch/ws/tvm4/src/ir/transform.cc:267
12: tvm::transform::ModulePassNode::operator()(tvm::IRModule,
tvm::transform::PassContext const&) const
at /home/areusch/ws/tvm4/src/ir/transform.cc:415
11: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::IRModule,
tvm::transform::PassContext)>::operator()(tvm::IRModule,
tvm::transform::PassContext) const
at /home/areusch/ws/tvm4/include/tvm/runtime/packed_func.h:1498
10: tvm::IRModule
tvm::runtime::detail::typed_packed_call_dispatcher<tvm::IRModule>::run<tvm::IRModule,
tvm::transform::PassContext>(tvm::runtime::PackedFunc const&, tvm::IRModule&&,
tvm:
:transform::PassContext&&)
at /home/areusch/ws/tvm4/include/tvm/runtime/packed_func.h:1444
9: tvm::runtime::TVMRetValue
tvm::runtime::PackedFunc::operator()<tvm::IRModule,
tvm::transform::PassContext>(tvm::IRModule&&, tvm::transform::PassContext&&)
const
at /home/areusch/ws/tvm4/include/tvm/runtime/packed_func.h:1369
8: std::function<void (tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*)>::operator()(tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*) const
at /usr/include/c++/7/bits/std_function.h:706
7: _M_invoke
at /usr/include/c++/7/bits/std_function.h:316
6: operator()
at /home/areusch/ws/tvm4/include/tvm/runtime/packed_func.h:1492
5: unpack_call<tvm::IRModule, 2,
tvm::relay::transform::InferType()::<lambda(tvm::IRModule, const PassContext&)>
>
at /home/areusch/ws/tvm4/include/tvm/runtime/packed_func.h:1421
4: run<>
at /home/areusch/ws/tvm4/include/tvm/runtime/packed_func.h:1382
3: run<tvm::runtime::TVMMovableArgValueWithContext_>
at /home/areusch/ws/tvm4/include/tvm/runtime/packed_func.h:1382
2: run<tvm::runtime::TVMMovableArgValueWithContext_,
tvm::runtime::TVMMovableArgValueWithContext_>
at /home/areusch/ws/tvm4/include/tvm/runtime/packed_func.h:1397
1: operator()
at /home/areusch/ws/tvm4/src/relay/transforms/type_infer.cc:857
0: tvm::DiagnosticContext::Render()
at /home/areusch/ws/tvm4/src/ir/diagnostic.cc:105
File "/home/areusch/ws/tvm4/src/ir/diagnostic.cc", line 105
```
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