Comments (3)
guschmue
commented on May 19, 2024
1
Best would be to open an issue for https://github.com/onnx/onnx-tensorflow
from tensorflow-onnx.
guschmue
commented on May 19, 2024
works for me, for example:
python tests\run_pretrained_models.py --config tests\unity.yaml --backend onnxmsrtnext --tests Soccer --onnx-file \temp
python tools\dump-onnx.py --input \temp\Soccer.onnx
generates:
...
%StrikerBrain/value_estimate:0 = Identity(%StrikerBrain/dense_4/BiasAdd:0)
%StrikerBrain/dense_3/MatMul:0 = MatMul(%StrikerBrain/dense_2/Mul:0, %StrikerBrain/dense_2/kernel:0)
%StrikerBrain/multinomial/Multinomial:0 = Multinomial[dtype = 7, sample_size = 1, seed = 187384](%StrikerBrain/dense_3/MatMul:0)
%StrikerBrain/action:0 = Identity(%StrikerBrain/multinomial/Multinomial:0)
%StrikerBrain/action_probs:0 = Softmax(%StrikerBrain/dense_3/MatMul:0)
You'll need onnx-1.2 since it needs opset7
from tensorflow-onnx.
jinluyang
commented on May 19, 2024
But we cannot convert it from onnx to tensorflow ,the test fails too: http://onnx.ai/backend-scoreboard/onnx-tf_details_stable.html .Is there any work-around?
from tensorflow-onnx.
Related Issues (20)
- YOLOV8Detector with non_max_suppression is not converted HOT 2
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- Model conversion fail from Tensorflow while 2 GPU are utilized and first one set to be not visible in Tensorflow HOT 1
- UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa8 in position 101: invalid start byte
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- Please help validate release candidate for ONNX 1.16.0rc2 HOT 1
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from tensorflow-onnx.