Comments (2)
Close in favor to daquexian/onnx-simplifier#310
from optimizer.
Thank you for your reply, the 'eliminate duplicate initializr option cannot meet my needs. Adding or not adding it, my multiple constant operators (with the same content) will still become one constant operator.
from optimizer.
Related Issues (20)
- -1 mean dynamic shape or Static shape? HOT 2
- why using the same cmake but got error HOT 1
- Optimizer reports "Unresolved value references" since v0.3.0 HOT 1
- optimizer support for python 3.11 HOT 5
- CleanUnusedInitializersAndNodeArgs warning still issued after onnxoptimizer run HOT 1
- Support for python3.6 HOT 1
- If model use initializer, fuse_bn_into_conv is broken from v0.3.9 HOT 5
- error on model with sequence types/layers
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- Question about building with released version ONNX
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- Adding onnxoptimizer to conda-forge
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- Is a lower version of cmake be compatible with onnxoptimizer? HOT 2
- `onnxoptimizer` is missing support for python 3.10 HOT 5
- It builds dependencies instead if reusing installed in the system. HOT 1
- No module named onnxoptimizer.__main__; 'onnxoptimizer' is a package and cannot be directly executed HOT 4
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from optimizer.