Do TensorRT7.2.1.6 support GPU_ARCHS 86(3080 or 3090)?

[gulixin0922]

Description

Environment

TensorRT Version: 7.2.1.6
GPU Type: 3080
Nvidia Driver Version: 455.32.00
CUDA Version: 11.1
CUDNN Version: 8.0.4
Operating System + Version: x86_64
Python Version (if applicable): 3.6
TensorFlow Version (if applicable): 1.15.4
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag):

Relevant Files

however in CMakeLists.txt：not include 86, only include 80

if (CUDA_VERSION VERSION_GREATER_EQUAL 11.0)
# Ampere GPU (SM80) support is only available in CUDA versions > 11.0
list(APPEND GPU_ARCHS 80)
else()
message(WARNING "Detected CUDA version is < 11.0. SM80 not supported.")
endif()

Do TensorRT7.2.1.6 support GPU_ARCHS 86?

Steps To Reproduce

[ttyio]

Hello @seuGLX , thanks for reporting,
Yes TRT 7.2.1.6 support SM86.

[ttyio]

Closing since no activity in this thread for more than 3 weeks, please reopen if you still have question, thanks!

[pra-dan]

@ttyio Why is this check important when TensorRT recommends CUDA 10.2 + cudnn 8.1 ?

[ttyio]

Hello @pra-dan , CUDA 10.2 can generate PTX work on Ampere, but to generate SASS work on Ampere, we need CUDA 11.0, see
https://docs.nvidia.com/cuda/ampere-compatibility-guide/index.html#building-applications-with-ampere-support

[pra-dan]

Oh thanks @ttyio . In that case, shouldn't the docs remove the CUDA 10.2 recommendation from the docs ?

[ttyio]

hello @pra-dan , not all users are able to upgrade to latest CUDA, this is the reason why 10.2 is in the support matrix.