Comments (4)
@mhmmdjafarg you mean dynamic=false
is okay but when dynamic=true
, it fails? Could you provide your onnx model?
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No, both are returns error. I just wonder what is the correct way to do it? Maybe like the one you did on Resize
operator
Here's the onnx file
https://drive.google.com/file/d/1WTJe7GNknIqt6cOi9C-izY9D1bKqvDjk/view?usp=sharing
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@mhmmdjafarg Currently, we only support Tile
operator with specific shape, can not support symbolic shape. You should fix your Tile
shape except the first dimension(batch_size
dimension).
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Thank you for your reply, now I understand. Would you happen to have any idea how to make it fixed? My input tensor should be with shape (32000,1,32) and the tile is 1D with value (1,20,1)
I found the solution using onnx.helper, adding the value_info on the graph. I'll get back to you later. thanks
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Related Issues (20)
- Conversion Error for IsInf OP HOT 11
- RandomNormal not supported for frontend ONNX HOT 1
- Support CUDA 11.5 and TensorRT 8.2.1.3? HOT 1
- 无法跑通 example HOT 1
- Support for dynamic shape ? HOT 2
- No radical Subgraph optimization for TensorRT HOT 1
- precision for one hot plugin is wrong HOT 2
- cuda kernel code generated by Ansor‘s search space will use shared memory optimization to auto tuning? HOT 1
- Is maintained of this repo? HOT 1
- Fail to run example test_onehot_dynamic_direct.py HOT 12
- Half model error HOT 8
- Error when running one_hot example HOT 6
- support for one hot plugin with dynamic axis other than batch_size dim HOT 4
- Is there a talk or article about of the implementation of this project? HOT 1
- unsupported ptx version error
- out of memeory HOT 2
- so build succeed, tensorrt run error HOT 6
- KeyError int8 HOT 1
- so build succeed, tensorrt run error one hot example HOT 11
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