Comments (3)
YifanShenSZ
commented on September 27, 2024
From coremltools doc, I don't see we have any support on ONNX conversion? By googling I found ONNX seemed to have an archived ONNX-CoreML repo, but that's by ONNX rather than coremltools team
Could you please elaborate your use case a little? E.g. if you have the original PyTorch model, then you can convert from there
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Asadashino-o
commented on September 27, 2024
Perhaps what you said is correct. I can not find support for ONNX in the previous versions, but there is an ONNX-coreml tool in GitHub's repo, which may no longer be applicable due to the update to coremltools.
Perhaps I should carefully read the documentation to see how to use pytorch conversion. Thank you for your answer and wish a happy life!
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YifanShenSZ
commented on September 27, 2024
You are welcome! Wish you a happy life too! Hope our PyTorch conversion example would help
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Related Issues (20)
- converted model has incorrect output. HOT 1
- experimental.linear_quantize_activations with Classifier_config in ct.conver "fails" w/message 'dict' object has no attribute 'flatten' HOT 3
- Util to expose intermediate tensors as outputs HOT 2
- NameError: name 'MistralCausalLM' is not defined HOT 7
- pip install failed because numpy2.0 release includes breaking changes HOT 1
- RoPE implemetation, Torch.polar op not available in MIL requesting support HOT 2
- Sometimes, the output image will be rotated？ HOT 1
- unsqueeze or expand dims not supported for complex64, HOT 2
- mb.identity breaks when complex_input.real is None
- ML Program matmul not handling 1D input correctly HOT 2
- unet Chunking not supported in coremltools>7.1 and <7.1 does not support dynamic reshape HOT 1
- `coremltools` docs - Xcode Model Preview Type for Object Detection? HOT 1
- How to set 4 bit quantization in PostTrainingQuantizer? HOT 5
- ERROR - converting 'full' op (located at: 'heads') HOT 2
- Can't perform palettization:Unique values in weight cannot be represented by 8 bits palettization. HOT 3
- Error on mixing shapes of multiple enumerated shape inputs HOT 4
- Torch state buffer `copy_` fails to convert
- Beta macOS 15.x.x doesn't meet minimum deployment HOT 1
- view + transpose breaks model state? HOT 3
- Crash while converting models with torch.nn.BatchNorm3d layers HOT 2
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