Zero Zeng comments

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                                            Zero Zeng

Inconsistent failures during conversion of QAT onnx model to TRT

Looks like you hit another failed node, could you please try export the model with static shape and do a onnx-simplify on it(not sure whether it will work but worth...

Inconsistent failures during conversion of QAT onnx model to TRT

This is a cuda driver bug in Jetson and we fixed it in our latest internal code, should be come with the next release(probably GA ). closed this.

demo in demo/difuusion,support lora and contorlnet?

@rajeevsrao ^ ^

Transformer-like model hurts accuracy converted from onnx(opset16) when using fp16 in TensorRT-8.6, and TensorRT-8.6 cannot parse onnx(opset17) because of LayerNormalization/LayerNorm

Could you please try TRT 9.3/9.2? Thanks!

Transformer-like model hurts accuracy converted from onnx(opset16) when using fp16 in TensorRT-8.6, and TensorRT-8.6 cannot parse onnx(opset17) because of LayerNormalization/LayerNorm

Does it pass with polygraphy? e.g. polygraphy run model.onnx --trt --onnxrt

7.1.3 aarch64 tar file missing from https://developer.nvidia.com/nvidia-tensorrt-7x-download

I believe we don's support qnx in 7.x. and I think you need to check the DRIVEOS SDK, which provide the auto build.

TensorRT v9.2 installation error due to CUDA version. ""-- The CUDA compiler identification is unknown""

@rajeevsrao ^ ^

`ScatterElements` with Reduction (opset 16) Not Fully Supported

@ttyio Is it in our plan? Thanks!

Unable to convert an onnx model to tensorrt using int8 with calibration set

Could you please try TRT 9.2/9.3? I check our latest internal release and found calibration is success with `polygraphy convert new_full_explicit_batch32.onnx --int8 -o out.plan`, so this seems to be a...

Implementation bug in Disentangled Attention Plugin

@samurdhikaru @ttyio ^ ^