Instructions to use Rodion111/tensorrt-eyelike-oob-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use Rodion111/tensorrt-eyelike-oob-poc with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 1,480 Bytes
391ff22 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | returncode: -11
signal : SIGSEGV
--- STDOUT ---
[05/01/2026-15:57:29] [TRT] [I] [MemUsageChange] Init CUDA: CPU +23, GPU +0, now: CPU 35, GPU 104 (MiB)
[05/01/2026-15:57:30] [TRT] [V] CUDA lazy loading is enabled.
about to parse 136 bytes
[05/01/2026-15:57:30] [TRT] [I] ----------------------------------------------------------------
[05/01/2026-15:57:30] [TRT] [I] ONNX IR version: 0.0.9
[05/01/2026-15:57:30] [TRT] [I] Opset version: 17
[05/01/2026-15:57:30] [TRT] [I] Producer name: huntr-tensorrt-eyelike-poc-input
[05/01/2026-15:57:30] [TRT] [I] Producer version:
[05/01/2026-15:57:30] [TRT] [I] Domain:
[05/01/2026-15:57:30] [TRT] [I] Model version: 0
[05/01/2026-15:57:30] [TRT] [I] Doc string:
[05/01/2026-15:57:30] [TRT] [I] ----------------------------------------------------------------
[05/01/2026-15:57:30] [TRT] [V] Adding network input: X with dtype: int32, dimensions: (65537, 65537)
[05/01/2026-15:57:30] [TRT] [V] Registering tensor: X for ONNX tensor: X
[05/01/2026-15:57:30] [TRT] [V] Static check for parsing node: node_of_Y [EyeLike]
[05/01/2026-15:57:30] [TRT] [V] Parsing node: node_of_Y [EyeLike]
[05/01/2026-15:57:30] [TRT] [V] Searching for input: X
[05/01/2026-15:57:30] [TRT] [V] node_of_Y [EyeLike] inputs: [X -> (65537, 65537)[INT32]],
--- STDERR ---
Fatal Python error: Segmentation fault
Current thread 0x00007f1a38262280 (most recent call first):
File "/content/run_python_repro.py", line 14 in <module>
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