Thrsu

### Description: I'm experiencing a discrepancy between the inference results of PyTorch model and the TensorRT model obtained by converting it using the torch2trt tool. ### Reproduce This issue can...

### Description: I'm experiencing a discrepancy between the inference results of PyTorch model and the TensorRT model obtained by converting it using the torch2trt tool. ### Reproduce This issue can...

### Description: As [the official PyTorch documentation](https://pytorch.org/docs/stable/generated/torch.nn.functional.gumbel_softmax.html#torch-nn-functional-gumbel-softmax), The default value of `dim` for GumbelSoftmax operator is -1, representing the last dimension. However, the `torch_dim_to_trt_axes` function does not handle the case...

Inconsistent inference results between PyTorch and TensorRT using torch2trt with ELU operator

1

### Description: I'm experiencing a discrepancy between the inference results of my PyTorch model and the TensorRT model obtained by converting it using the torch2trt tool. ### Reproduce This can...

### Description: I'm experiencing a discrepancy between the inference results of my PyTorch model and the TensorRT model obtained by converting it using the torch2trt tool. ### Reproduce This problem...

### Description: I'm experiencing a discrepancy between the inference results of my PyTorch model and the TensorRT model obtained by converting it using the torch2trt tool. ### Reproduce This can...

### Description: I'm experiencing a discrepancy between the inference results of my PyTorch model and the TensorRT model obtained by converting it using the torch2trt tool. ### Reproduce This can...

[Bug]: Error during Shape Inference of Multiply Node in OpenVINO Conversion of Torch Model with BatchNorm1d

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### OpenVINO Version 2024.0.0-14509-34caeefd078-releases/2024/0 ### Operating System Ubuntu 18.04 (LTS) ### Device used for inference CPU ### Framework PyTorch ### Model used Given in the following script ### Issue description...

[Bug] [Unity] [Frontend] [ONNX] Gather produced inconsistent inference results with ONNX

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The ONNX [model](https://drive.google.com/file/d/1OyCdBhPRFo3MXvZSLsth4DK4cb7Ui5Z9/view?usp=share_link) produced inconsistent inference results with ONNX when using relax to load model and obtain the results. ### Actual behavior ``` Traceback (most recent call last): ... np.testing.assert_allclose(onnx_output[0],...

I encountered a segmentation fault when applying the `PartitionTransformParams` pass to a Relax IR module that performs tensor concatenation and transposition operations. The segmentation fault occurs during the execution of...