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Hey there,
I am getting the following error when converting a model using coreml.
: RuntimeError: PyTorch convert function for op 'pythonop' not implemented.
"PyTorch convert function for op '{}'…
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Windows 10
Python 3.10.0
torch 2.1.2
gfpgan 1.3.8
onnx 1.14.0
onnxruntime 1.15.0
```python
import torch
import torch.onnx
import onnx
import onnxruntime
from gfpgan.archs.gfpganv1_cle…
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Hi anyone could do me a favor to check what the problem of this error is?
I use 3 mono cameras for recording, and fine-tune with 3 AVG mono network.
Thank you so much!! @spoonsso
`(tf25) F:\t…
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I'm implementing 2 calculators for TTS (Text To Speech) and Audio2Face (both are real-time stream web socket APIs).
Firstly TTSCalculator has a long text input, and it may successively output multipl…
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**System information**
- Have I written custom code: Yes
- OS Platform and Distribution: AlmaLinux release 8.6 (Sky Tiger)
- TensorFlow.js installed from: npm
- TensorFlow.js version (use command …
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How can I quantize with gptq a model stored in a local checkpoint which corresponds to a (non-quantised) fine-tuned version of a huggingface model?
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# Bug Report
### Is the issue related to model conversion?
No.
### Describe the bug
I have export RWKV model as `rwkv.onnx` with corresponding constants/weights in the same folder. When I us…
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## ❓Question
Why is int64 input being converted to fp32 type?
I have specified the input type to be int64 both in TensorFlow and in CoreML Converter. It seems that my specification doesn't work at…
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Sorry to bother you! But I find another interesting problem.
When I start training (with train.json) and get a result in the middle process such as:
```
"epoch": 2304.0,
"eval_exact_m…
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I'm trying to change the network to accept grayscale images and have followed the wiki steps to exclude conv1 when loading weights and include it in addition to heads when training. I am running into …