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PINTO0309 avatar PINTO0309 commented on June 14, 2024 1

I will not go along with the onnxruntime issue.

sit4onnx -if _pi.original.onnx -oep cpu -fs 384 128

INFO: file: _pi.original.onnx
INFO: providers: ['CPUExecutionProvider']
INFO: input_name.1: input shape: [384, 128] dtype: float32
INFO: test_loop_count: 10
INFO: total elapsed time:  9.15980339050293 ms
INFO: avg elapsed time per pred:  0.915980339050293 ms
INFO: output_name.1: output shape: [384, 76] dtype: float32
onnx2tf -i _pi.original.onnx -cotof -ois input:384,128

image

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josephrocca avatar josephrocca commented on June 14, 2024 1

Ah, apologies, I think I understand: n*m implies any n and any m, but actually it is not true (the model only supports specific values of n and m), and onnx2tf cannot (simply) know this, hence the error. So manually specifying a valid input to onnx2tf is required. Thank you!

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PINTO0309 avatar PINTO0309 commented on June 14, 2024 1

That is correct.

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josephrocca avatar josephrocca commented on June 14, 2024 1

(Thank you so much for your open source work - you have created incredibly valuable tools.)

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