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Everything I describe here works perfectly fine on my computer that has Windows 11 (Version 10.0.26200). However, on a computer that has Windows 10 (10.0.19045), it does not work. This is a client's ...
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35 views

I want to use the mobile_sam.pt model in web browser, so I need the onnx format of that. I tried these method, but always getting the same error. segment-anything - samexporter The error above ...
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0 answers
34 views

I am trying to implement this rewrite rule from the TASO paper with ONNX Script rewriter. However, I cannot figure out how to implement a pattern with multiple outputs X and Y. The ONNX Script does ...
0 votes
2 answers
190 views

I’m debugging a model conversion using onnx2tf and post-training quantization issue involving Einsum, BatchMatMul, and FullyConnected layers across different model formats. Pipeline: ONNX → TF ...
Tooling
1 vote
1 replies
71 views

I am aware that TensorFlow has announced that they will no longer support TRT. A while back the announced "Starting with TensorFlow 2.18, support for TensorRT will be dropped. TensorFlow 2.17 ...
1 vote
0 answers
111 views

I would like to add a .aar file (onnxruntime.aar) to my Kivy project. My project structure is: ├── buildozer.spec ├── dress.jpg ├── libs │ └── onnxruntime.aar ├── log.txt ├── main.py ├── __pycache__ ...
3 votes
1 answer
98 views

I want to debug layer-by-layer to see where the ONNX model starts deviating from the PyTorch model outputs. I can extract intermediate outputs in PyTorch using forward hooks, like: def get_activation(...
1 vote
1 answer
132 views

I’ve exported a fine-tuned BERT-based QA model to ONNX for faster inference, but I’m noticing that the predictions from the ONNX model are consistently less accurate than those from the original ...
0 votes
0 answers
68 views

has anyone managed to translate something using Helsinki-NLP and ONNX Runtime in Java? Using a Python script, I generated these files: ├── encoder_model.onnx ├── decoder_model.onnx ├── ...
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0 answers
42 views

Currently I am working on Object Detection model. I have trained a model, want to convert to ONNX format for real time inference and deploy in the field but I am unable to determine how to convert to ...
1 vote
0 answers
158 views

I'm trying to run a ONNX model, using the rust crate ort The model I'm trying to use is braai/RMBG-1.4 Below is the code I'm using. Apologies in advance for the variable names let mut model = ...
Yiorgos's user avatar
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2 votes
1 answer
134 views

I am trying to integrate an image-to-text model into a React Native mobile app. My requirements: The model should support image + text input → text output. It should be lightweight enough to run on ...
1 vote
0 answers
177 views

I'm developing (Python) an FAQ system based on embeddings to perform similarity queries between a user's question and the FAQ knowledge base. The FAQ needs to run on Android smartphones. I'm using the ...
ltu's user avatar
  • 177
0 votes
1 answer
234 views

I have a website that runs an onnx model (pre-optimized to .ort format) on the client via ONNX's web runtime. I must also stick to an old version of onnx (before 1.19.0), because the support for non-...
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68 views

I have implemented a PyTorch OP which accepts a torch.int64 tensor and outputs another torch.int64 tensor by looking up a hash table with predefined key-value pairs. The torch part is implemented like ...
user416983's user avatar
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