Update the default opset version for tf2onnx. #1946
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Signed-off-by: Jay Zhang <jiz@microsoft.com>
Signed-off-by: Jay Zhang <jiz@microsoft.com>
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Resolve the issue #1911. |
hwangdeyu
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May 24, 2022
Signed-off-by: Jay Zhang <jiz@microsoft.com>
Good catch. |
yan12125
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Jun 13, 2022
Fix tests failed after the default opset is upgraded from 9 to 13 [1]. Also switches from python-install to python-installer. [1] onnx/tensorflow-onnx#1946
yan12125
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Jul 7, 2022
* CP decomposition * Tucker-2 decomposition * QAT * convert-har: use opset 9 explicitly Some codes are not compatible with newer opsets yet, while newer tf2onnx defaults to opset 13 [1]. Specify the opset to keep compaibility. Also investigates the issue from the newer API tf2onnx.convert.from_graph_def() and update comments. * Conv: fix recovery for group convolution * Faster group convolution * decomposition/fc: merge small filters * Double scales for asymmetric quantization * Add: strip states before scaling inputs [1] onnx/tensorflow-onnx#1946
archlinux-github
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Jul 30, 2022
Fix tests failed after the default opset is upgraded from 9 to 13 [1]. Also switches from python-install to python-installer. [1] onnx/tensorflow-onnx#1946
yan12125
pushed a commit
to EMCLab-Sinica/DynBal
that referenced
this pull request
Aug 7, 2022
Some codes are not compatible with newer opsets yet, while newer tf2onnx defaults to opset 13 [1]. Specify the opset to keep compaibility. Also investigates the issue from the newer API tf2onnx.convert.from_graph_def() and update comments. [1] onnx/tensorflow-onnx#1946
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According to current policy:
The default should be set to the latest released version as of 18 months ago.
Update the default opset version to 13 which was released in Nov, 2020.