Comments (1)
Take a look at our User Guide page for converting PyTorch models.
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Related Issues (20)
- is Conv3d supported? in torch? how do i interpret and resolve this HOT 1
- Unable to parse ML Program: at unknown location: Unknown opset 'CoreML8'. HOT 2
- torch.nn.functional.grid_sample for volumetric input/ Rank 5 input and grid HOT 3
- ERROR - converting '_internal_op_tensor_inplace_copy_' op
- Update support for sklearn > 1.1.2 HOT 4
- MobileNetV3Large BatchNorm Incompatible With Expected Resource HOT 1
- Support for Rank 6 tensors for operations such as reshape, resample etc, HOT 1
- Detectron2 conversion HOT 1
- converting 'cat' operation HOT 2
- Bug Report: macOS 15 Beta - PyTorch gridsample Not Utilizing Apple Neural Engine on MacBook Pro M2 HOT 5
- How to deploy Vision Transformer with ANE to Achieve Faster Uncached Load Speed
- NeuralNetwork and MLprogram lead to very different results
- Thoughts on adding a StableHLO frontend HOT 3
- Potentially wrong number of argument in cumsum op HOT 1
- Numpy 2.x compatibility issue w `issubclass` HOT 3
- Segmentation Models Pytorch to Coreml
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- Q
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