ERROR - tf2onnx.tfonnx: Failed to convert node 'Mean'

[heiyuxiaokai]

When I convert the delf model to onnx in tf2,
python -m tf2onnx.convert --saved-model ./ --opset 11 --output model.onnx --verbose
this error occurs:
2022-06-20 21:18:17,083 - VERBOSE - tf2onnx.tfonnx: Mapping TF node to ONNX node(s)
2022-06-20 21:18:17,157 - ERROR - tf2onnx.tfonnx: Failed to convert node 'Mean' (fct=<bound method ReduceOpBase.version_11 of <class 'tf2onnx.onnx_opset.reduction.ReduceOpBase'>>)
OP=ReduceMean\nName=Mean\nInputs:\n\tPow:0=Pow, [1, -1, -1, 2048], 1\n\tmean_reduction_indices_0:0=Placeholder, [2], 6\nOutpus:\n\tMean:0=None, 1
Traceback (most recent call last):
ValueError: get tensor value: 'mean_reduction_indices_0' must be Const

All opset versions have been tried.

[heiyuxiaokai]

My Model:
https://drive.google.com/file/d/1wnq9nCyOePdY7d4q3b3NJfcP4HIIREJ5/view?usp=sharing

[hwangdeyu]

The error is raised from

tensorflow-onnx/tf2onnx/onnx_opset/reduction.py

Line 31 in 76924df

axes = axes_node.get_tensor_value()

.

The second input of Mean op should be const axes instead of a Placeholder mean_reduction_indices_0.

But it looks ok in frozen pb graph,
.

Need to make more investigation to check if it's something related to const folding.