gistfile1.txt

python -m transformers.onnx -m="microsoft/trocr-large-printed" --framework="pt" --feature="vision2seq-lm" . 
Some weights of VisionEncoderDecoderModel were not initialized from the model checkpoint at microsoft/trocr-large-printed and are newly initialized: ['encoder.pooler.dense.weight', 'encoder.pooler.dense.bias']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
Using framework PyTorch: 1.13.1
/Users/mattc/Desktop/onnx/venv/lib/python3.10/site-packages/transformers/models/vit/modeling_vit.py:176: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  if num_channels != self.num_channels:
/Users/mattc/Desktop/onnx/venv/lib/python3.10/site-packages/transformers/models/vit/modeling_vit.py:181: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  if height != self.image_size[0] or width != self.image_size[1]:
Validating ONNX model...
	-[✓] ONNX model output names match reference model ({'last_hidden_state'})
	- Validating ONNX Model output "last_hidden_state":
		-[✓] (3, 577, 1024) matches (3, 577, 1024)
		-[x] values not close enough (atol: 0.0001)
Traceback (most recent call last):
  File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/Users/mattc/Desktop/onnx/venv/lib/python3.10/site-packages/transformers/onnx/__main__.py", line 180, in <module>
    main()
  File "/Users/mattc/Desktop/onnx/venv/lib/python3.10/site-packages/transformers/onnx/__main__.py", line 107, in main
    validate_model_outputs(
  File "/Users/mattc/Desktop/onnx/venv/lib/python3.10/site-packages/transformers/onnx/convert.py", line 472, in validate_model_outputs
    raise ValueError(
ValueError: Outputs values doesn't match between reference model and ONNX exported model: Got max absolute difference of: 0.003101348876953125 for [ 5.296753   -1.1317961  -3.054056   ... -0.14895228 -1.1711152
  0.31119758] vs [ 5.2969065  -1.1319674  -3.0543997  ... -0.14916274 -1.1713439
  0.31131762]