jikechao opened a new issue, #16625:
URL: https://github.com/apache/tvm/issues/16625
### Actual behavior
```
Traceback (most recent call last):
File "test.py", line 55, in test_resize
verify([1, 16] + [32] * ndim, [], [1, 1] + [2] * ndim, None, coord_trans)
File "frontend/onnx/test_forward.py", line 4489, in verify
verify_with_ort(
File "frontend/onnx/test_forward.py", line 262, in verify_with_ort
verify_with_ort_with_inputs(
File "frontend/onnx/test_forward.py", line 213, in
verify_with_ort_with_inputs
tvm_out = get_tvm_output_with_vm(
File "frontend/onnx/test_forward.py", line 95, in get_tvm_output_with_vm
mod, params = relay.frontend.from_onnx(
File "/home/shenqingchao/software/tvm/python/tvm/relay/frontend/onnx.py",
line 7226, in from_onnx
mod, params = g.from_onnx(graph, opset)
File "/home/shenqingchao/software/tvm/python/tvm/relay/frontend/onnx.py",
line 6845, in from_onnx
self._construct_nodes(graph)
File "/home/shenqingchao/software/tvm/python/tvm/relay/frontend/onnx.py",
line 6960, in _construct_nodes
op = self._convert_operator(op_name, inputs, attr, self.opset)
File "/home/shenqingchao/software/tvm/python/tvm/relay/frontend/onnx.py",
line 7084, in _convert_operator
sym = convert_map[op_name](inputs, attrs, self._params)
File "/home/shenqingchao/software/tvm/python/tvm/relay/frontend/onnx.py",
line 3982, in _impl_v11
return cls.v11_13_common(inputs, size, attr, params)
File "/home/shenqingchao/software/tvm/python/tvm/relay/frontend/onnx.py",
line 4016, in v11_13_common
mode = attr.get("mode").decode("ascii")
AttributeError: 'NoneType' object has no attribute 'decode'
```
### Steps to reproduce
```
def test_resize(target, dev):
"""test_resize"""
def verify(ishape, oshape, scales, mode, coord_trans="asymmetric",
alpha=0.5, exclude=False):
nodes = [
make_constant_node("roi", onnx.TensorProto.FLOAT, (0,), []),
make_constant_node("scales", onnx.TensorProto.FLOAT,
(len(scales),), scales),
]
input_names = ["X", "roi", "scales"]
if oshape != []:
nodes.append(
make_constant_node("sizes", onnx.TensorProto.INT64,
(len(oshape),), oshape)
)
input_names.append("sizes")
nodes.append(
helper.make_node(
"Resize",
inputs=input_names,
outputs=["Y"],
mode=mode,
coordinate_transformation_mode=coord_trans,
cubic_coeff_a=alpha,
exclude_outside=exclude,
)
)
if oshape == []:
oshape = [round(dim * scale) for (dim, scale) in zip(ishape,
scales)]
graph = helper.make_graph(
nodes,
"resize_test",
inputs=[helper.make_tensor_value_info("X", TensorProto.FLOAT,
ishape)],
outputs=[helper.make_tensor_value_info("Y", TensorProto.FLOAT,
oshape)],
)
verify_with_ort(
model,
[ishape],
[oshape],
use_vm=True,
opset=11,
freeze_params=True,
target=target,
dev=dev,
)
for ndim in [1, 2, 3]:
method = "nearest"
for coord_trans in ["asymmetric", "align_corners", "half_pixel"]:
verify([1, 16] + [32] * ndim, [], [1, 1] + [2] * ndim, None,
coord_trans)
test_resize('llvm', tvm.cpu(0))
```
### Triage
* front::onnx
* needs-triage
### Analysis
The attribute `mode` of the `Resize` operator is optional with the default
value "nearest". TVM can not parse the None correctly.
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