jlamperez opened a new issue #8683: URL: https://github.com/apache/tvm/issues/8683
Hi, I am following the [external_yolov3_tutorial.ipynb](https://github.com/Xilinx/Vitis-AI/blob/master/external/tvm/examples/external_yolov3_tutorial.ipynb) Jupyter notebook tutorial for compiling a [YOLOX-NANO](https://github.com/Megvii-BaseDetection/YOLOX/tree/main/demo/ONNXRuntime) ONNX model for Vitis-AI. But when I try to use [partition_for_vitis_ai](https://github.com/apache/tvm/blob/main/python/tvm/relay/op/contrib/vitis_ai.py) I am having the next problem: ```bash --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-49-48276f16561e> in <module> 10 mod = seq(mod) 11 ---> 12 mod = partition_for_vitis_ai(mod, params, dpu=vitis_target) 13 14 # We recommend transforming the remaining convolutions after /opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tvm-0.8.dev1186+g40d5193a9-py3.6-linux-x86_64.egg/tvm/relay/op/contrib/vitis_ai.py in partition_for_vitis_ai(mod, params, dpu, **opts) 172 ) 173 --> 174 return seq(mod) /opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tvm-0.8.dev1186+g40d5193a9-py3.6-linux-x86_64.egg/tvm/ir/transform.py in __call__(self, mod) 159 The updated module after applying this pass. 160 """ --> 161 return _ffi_transform_api.RunPass(self, mod) 162 163 tvm/_ffi/_cython/./packed_func.pxi in tvm._ffi._cy3.core.PackedFuncBase.__call__() tvm/_ffi/_cython/./packed_func.pxi in tvm._ffi._cy3.core.FuncCall() tvm/_ffi/_cython/./packed_func.pxi in tvm._ffi._cy3.core.FuncCall3() tvm/_ffi/_cython/./base.pxi in tvm._ffi._cy3.core.CALL() AttributeError: Traceback (most recent call last): 7: TVMFuncCall 6: std::_Function_handler<void (tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*), tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::transform::Pass, tvm::IRModule)>::AssignTypedLambda<tvm::transform::{lambda(tvm::transform::Pass, tvm::IRModule)#7}>(tvm::transform::{lambda(tvm::transform::Pass, tvm::IRModule)#7}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}>::_M_invoke(std::_Any_data const&, tvm::runtime::TVMArgs&&, tvm::runtime::TVMRetValue*&&) 5: tvm::transform::Pass::operator()(tvm::IRModule) const 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const 1: tvm::relay::transform::FunctionPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const 0: std::_Function_handler<void (tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*), TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}>::_M_invoke(std::_Any_data const&, tvm::runtime::TVMArgs&&, tvm::runtime::TVMRetValue*&&) [clone .cold] File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tvm-0.8.dev1186+g40d5193a9-py3.6-linux-x86_64.egg/tvm/runtime/object.py", line 63, in __getattr__ return _ffi_node_api.NodeGetAttr(self, 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 257, in tvm._ffi._cy3.core.FuncCall File "tvm/_ffi/_cython/./packed_func.pxi", line 246, in tvm._ffi._cy3.core.FuncCall3 File "tvm/_ffi/_cython/./base.pxi", line 163, in tvm._ffi._cy3.core.CALL 3: TVMFuncCall 2: _ZNSt17_Function_handlerIF 1: tvm::NodeGetAttr(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) 0: tvm::ReflectionVTable::GetAttr(tvm::runtime::Object*, tvm::runtime::String const&) const File "/opt/tvm-vai/tvm/src/node/reflection.cc", line 109 File "tvm/_ffi/_cython/./packed_func.pxi", line 56, in tvm._ffi._cy3.core.tvm_callback File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tvm-0.8.dev1186+g40d5193a9-py3.6-linux-x86_64.egg/tvm/relay/transform/transform.py", line 916, in _pass_func return inst.transform_function(func, mod, ctx) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tvm-0.8.dev1186+g40d5193a9-py3.6-linux-x86_64.egg/tvm/relay/op/contrib/vitis_ai.py", line 110, in transform_function xgraph = pyxir.frontend.tvm.from_relay(mod, self.params, postprocessing=None) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay.py", line 58, in from_relay cvx_preprocessing=cvx_preprocessing File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_2_xgraph_converter.py", line 96, in from_relay_to_xgraph cvx_prep=cvx_preprocessing, File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_l0_expr_and_others.py", line 75, in function op_idx, RELAY_2_XLAYER, **kwargs) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_2_xlayer_registry.py", line 122, in __base_relay_2_xlayer File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_l3_math_and_transform.py", line 561, in transpose **kwargs) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_l1_basic.py", line 398, in concatenate RELAY_2_XLAYER, **kwargs) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_l3_math_and_transform.py", line 323, in reshape **kwargs) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_2_xlayer_registry.py", line 122, in __base_relay_2_xlayer RELAY_2_XLAYER, **kwargs) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_l1_basic.py", line 78, in add **kwargs) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_l1_basic.py", line 609, in multiply **kwargs) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_l2_convolution.py", line 216, in nn_conv2d **kwargs) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_2_xlayer_registry.py", line 136, in __base_relay_2_xlayer X = specific_relay_2_xlayer(op_name, expr, iXs) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_l0_expr_and_others.py", line 437, in relay_op relay_shape = TensorShape([int(s.value) for s in list(ty.shape)]) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/pyxir-0.3.0-py3.6-linux-x86_64.egg/pyxir/frontend/tvm/relay_tools/relay_l0_expr_and_others.py", line 437, in <listcomp> relay_shape = TensorShape([int(s.value) for s in list(ty.shape)]) File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tvm-0.8.dev1186+g40d5193a9-py3.6-linux-x86_64.egg/tvm/runtime/object.py", line 65, in __getattr__ raise AttributeError("%s has no attribute %s" % (str(type(self)), name)) AttributeError: tir.Any object has no attributed value During handling of the above exception, another exception occurred: AttributeError: <class 'tvm.tir.expr.Any'> has no attribute value ``` Any idea of why is failing? 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