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Could you please point out why I get the error when I run python .Predict.py:
InvalidArgumentError (see above for traceback): ConcatOp : Dimensions of inputs should match: shape[0] = [1,192,384,16] vs. shape[1] = [1,2688,2688,8]
[[node while/conv_gru1/Gates/concat (defined at C:\Abhi\thesis_pjt\liu2020novel\REDNet-master\network.py:656) ]]
The text was updated successfully, but these errors were encountered:
Could you please point out why I get the error when I run python .Predict.py:
InvalidArgumentError (see above for traceback): ConcatOp : Dimensions of inputs should match: shape[0] = [1,192,384,16] vs. shape[1] = [1,2688,2688,8]
[[node while/conv_gru1/Gates/concat (defined at C:\Abhi\thesis_pjt\liu2020novel\REDNet-master\network.py:656) ]]
It seems like there is a mismatch error in the size of the input data. Maybe you are using a data set that does not match the script “predict.py”.
Could you please point out why I get the error when I run python .Predict.py:
InvalidArgumentError (see above for traceback): ConcatOp : Dimensions of inputs should match: shape[0] = [1,192,384,16] vs. shape[1] = [1,2688,2688,8]
[[node while/conv_gru1/Gates/concat (defined at C:\Abhi\thesis_pjt\liu2020novel\REDNet-master\network.py:656) ]]
The text was updated successfully, but these errors were encountered: