Comments (2)
Are you able to get predictions from your model in Python?
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Are you able to get predictions from your model in Python?
Got some issues upgrading my macOS to 15 as the model inference in Python requires it, will add the results when I have it...
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Related Issues (20)
- 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 2
- 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
- AttributeError: 'Sequential' object has no attribute '_get_save_spec'. Did you mean: '_set_save_spec'? HOT 2
- CoreML maps tensorflow's pad op's symmetric mode to reflect mode.
- ConvTranspose with output_shape has completely different output for CPU only vs ALL HOT 1
- 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 1
- torch.nn.functional.grid_sample for volumetric input/ Rank 5 input and grid HOT 3
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