Hello, I have a very similar problem
I was trying to implement deeplabv3plus
using this code -
https://github.com/keras-team/keras-io/blob/master/examples/vision/deeplabv3_plus.py
The model compiles in tensorflow, also able to convert to onnx
but finally when I run this function
mod, params = relay.frontend.from_onnx(onnx_model, shape={input_name :
input_shape})
I get this error:
AttributeErrorTraceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tvm/runtime/object.py in
__getattr__(self, name)
62 try:
---> 63 return _ffi_node_api.NodeGetAttr(self, name)
64 except AttributeError:
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):
3: TVMFuncCall
2: _ZNSt17_Function_handlerI
1: tvm::NodeGetAttr(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
0: tvm::ReflectionVTable::GetAttr(tvm::runtime::Object*, tvm::runtime::String
const&) const
File "/home/a0230315/workarea/psdkra_git/tvm/src/node/reflection.cc", line 109
AttributeError: relay.Call object has no attributed name_hint
During handling of the above exception, another exception occurred:
AttributeErrorTraceback (most recent call last)
<ipython-input-24-ed42b17ea32c> in <module>
----> 1 mod, params = relay.frontend.from_onnx(onnx_model, shape={input_name :
input_shape})
/usr/local/lib/python3.6/dist-packages/tvm/relay/frontend/onnx.py in
from_onnx(model, shape, dtype, opset, freeze_params)
3636 # Use the graph proto as a scope so that ops can access other nodes
if needed.
3637 with g:
-> 3638 mod, params = g.from_onnx(graph, opset)
3639 return mod, params
/usr/local/lib/python3.6/dist-packages/tvm/relay/frontend/onnx.py in
from_onnx(self, graph, opset, get_output_expr)
3422 attr["tvm_custom"]["num_outputs"] = len(node_output)
3423
-> 3424 op = self._convert_operator(op_name, inputs, attr, opset)
3425 if not isinstance(op, _expr.TupleWrapper):
3426 outputs_num = 1
/usr/local/lib/python3.6/dist-packages/tvm/relay/frontend/onnx.py in
_convert_operator(self, op_name, inputs, attrs, opset)
3551 sym = get_relay_op(op_name)(*inputs, **attrs)
3552 elif op_name in convert_map:
-> 3553 sym = convert_map[op_name](inputs, attrs, self._params)
3554 else:
3555 raise NotImplementedError("Operator {} not
implemented.".format(op_name))
/usr/local/lib/python3.6/dist-packages/tvm/relay/frontend/onnx.py in
_impl_v11(cls, inputs, attr, params)
2316 ), "One of scale or size should be passed, not both."
2317 size = inputs[3]
-> 2318 known_size =
params[size.name_hint].asnumpy().astype("int32")
2319 out_size = (known_size[2], known_size[3])
2320 else:
/usr/local/lib/python3.6/dist-packages/tvm/runtime/object.py in
__getattr__(self, name)
63 return _ffi_node_api.NodeGetAttr(self, name)
64 except AttributeError:
---> 65 raise AttributeError("%s has no attribute %s" %
(str(type(self)), name))
66
67 def __hash__(self):
AttributeError: <class 'tvm.relay.expr.Call'> has no attribute name_hint
Please help !
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