[TensorRT] TensorRT Container Release Notes

Table of Contents

• 1. TensorRT Overview
• 2. Pulling A Container
• 3. Running TensorRT
• 4. TensorRT Release 21.12
• 5. TensorRT Release 21.11
• 6. TensorRT Release 21.10
• 7. TensorRT Release 21.09
• 8. TensorRT Release 21.08
• 9. TensorRT Release 21.07
• 10. TensorRT Release 21.06
• 11. TensorRT Release 21.05
• 12. TensorRT Release 21.04
• 13. TensorRT Release 21.03
• 14. TensorRT Release 21.02
• 15. TensorRT Release 21.01
• 16. TensorRT Release 20.12
• 17. TensorRT Release 20.11
• 18. TensorRT Release 20.10
• 19. TensorRT Release 20.09
• 20. TensorRT Release 20.08
• 21. TensorRT Release 20.07
• 22. TensorRT Release 20.06
• 23. TensorRT Release 20.03
• 24. TensorRT Release 20.02
• 25. TensorRT Release 20.01
• 26. TensorRT Release 19.12
• 27. TensorRT Release 19.11
• 28. TensorRT Release 19.10
• 29. TensorRT Release 19.09
• 30. TensorRT Release 19.08
• 31. TensorRT Release 19.07
• 32. TensorRT Release 19.06
• 33. TensorRT Release 19.05
• 34. TensorRT Release 19.04
• 35. TensorRT Release 19.03
• 36. TensorRT Release 19.02
• 37. TensorRT Release 19.01
• 38. TensorRT Release 18.12
• 39. TensorRT Release 18.11
• 40. TensorRT Release 18.10
• 41. TensorRT Release 18.09
• 42. TensorRT Release 18.08
• 43. TensorRT Release 18.07
• 44. TensorRT Release 18.06
• 45. TensorRT Release 18.05
• 46. TensorRT Release 18.04
• 47. TensorRT Release 18.03
• 48. TensorRT Release 18.02
• 49. TensorRT Release 18.01
• 50. TensorRT Release 17.12

 

**! Please check Limitation

 

for example, TensorRT Release 21.12

 

Limitations

• Accelerating Inference In TensorFlow with TensorRT (TF-TRT) is not supported in the TensorRT containers. Please use the TensorFlow Container to accelerate via TF-TRT.
• Torch-TensorRT is not supported in the TensorRT containers. Please use the PyTorch Container to accelerate via Torch-TRT.

 

 

 

Ref.

 

https://docs.nvidia.com/deeplearning/tensorrt/container-release-notes/running.html

Container Release Notes :: NVIDIA Deep Learning TensorRT Documentation