Comments (2)
fix this bug, because efficientdet attention not supported by tensorrt int8 mode, close attention when convert model to onnx, then convert onnx to trt int8 mode success.
from tensorrt-utils.
got the same error. If you solved it then do tell the solution.
from tensorrt-utils.
Related Issues (20)
- infer_tensorrt_imagenet.py: Not Predicting The Correct Classes HOT 1
- Unnamed Layers in Sample ResNet-50 Cache File HOT 3
- WARNING: Missing dynamic range for tensor 1316, expect fall back to non-int8 implementation for any layer consuming or producing given tensor HOT 1
- int8 engine for **DETECTOR models(onnx)
- get wrongresult using infer_tensorrr_imagenet.py for multi-batch inference HOT 2
- Some questions about int8 quat HOT 1
- int8 calibration for batch > 1 HOT 3
- How to do inference with the saved int8 trt engine file?
- converting scaled yolov4-scp from onnx to tensorrt
- how build engine with dynamic shape to exectue INT8 calibration
- How to save the calibration.bin files?
- The indentation maybe excessive
- Vague error.
- Is the inference for int8 the same as for fp16?
- Attribute error _enter_ when running int8 compilation HOT 2
- Output of inference with an engine converted using "onnx_to_tensorrt.py"
- onnx to trt,choose int8 mode
- Cifar100 calibrator
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from tensorrt-utils.