-
command
```
python export.py --weights yolov7-tiny.pt --batch-size=1 --img-size=1 --include-nms
```
output
```
Import onnx_graphsurgeon failure: No module named 'onnx_graphsurgeon'
Namespace(b…
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warnings.warn('No training configuration found in save file: '
0 : input_1,
1 : convolution2d_1,
2 : batchnormalization_1,
3 : leakyrelu_1,
4 : maxpooling2d_1,
5 : convolution2d_2,
6 : ba…
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here is the problem ,it seems the yolo.mimodel is error
"There was a problem decoding this CoreML document"
"validator error: unable to deserialize object"
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I want to convert a custom sd-1.5-derived model to sub-6-bit-weights using mixed_bit_compression_pre_analysis and mixed_bit_compression_apply – but the analysis is not working correctly for me. As I r…
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pytorch model perfomance is a litte slow, did this has other online type model?
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**I tried the tutorial twice and failed. The conversion process worked fine, but every time I ran it, I got the same bug, a RuntimeError, as follows:**
```
{
NSLocalizedDescription = "at /private/v…
-
## 🐞Describing the bug
When converting the text encoder component of LAION's CLIP-H model to CoreML using a variable input shape, `ct.convert` crashes Python.
## Stack Trace
```
...
>>> # Con…
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I'm trying to run the CoreML example project with no changes in VS Code. I have 2 ARM Macbook Pros: M1 Pro running latest macOS Sonoma 14.1.1, and a M2 Max running Ventura 13.6. Both machines can run …
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I'm working on a project using T5, and it would be amazing to do everything on device without a need for a server and API.
Thanks for all these amazing projects!
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when i try to convert to coreml the code crash with:
RuntimeError: PyTorch convert function for op 'numel' not implemented.