Skip pruning the CUDA 12.4 docker (#2411)

Summary: Pull Request resolved: #2411

Test Plan: https://github.com/pytorch/benchmark/actions/runs/10288893760

Differential Revision: D60915594

fbshipit-source-id: d0429dc90cac358bc8936431802da686bcd0d4b7

docker/gcp-a100-runner-dind.dockerfile

@@ -33,7 +33,8 @@ RUN sudo mkdir -p /workspace; sudo chown runner:runner /workspace
 # Use the CUDA installation scripts from pytorch/builder
 # Install CUDA 12.4 only to reduce docker size
 RUN cd /workspace; mkdir -p pytorch-ci; cd pytorch-ci; wget https://raw.githubusercontent.com/pytorch/pytorch/main/.ci/docker/common/install_cuda.sh
-RUN sudo bash -c "set -x;export OVERRIDE_GENCODE=\"${OVERRIDE_GENCODE}\" OVERRIDE_GENCODE_CUDNN=\"${OVERRIDE_GENCODE_CUDNN}\"; bash /workspace/pytorch-ci/install_cuda.sh 12.4"
+# do not prune CUDA libraries as they are being used by Kineto and NCU
+RUN sudo bash -c "set -x;export OVERRIDE_GENCODE=\"${OVERRIDE_GENCODE}\" OVERRIDE_GENCODE_CUDNN=\"${OVERRIDE_GENCODE_CUDNN}\"; . /workspace/pytorch-ci/install_cuda.sh; install_124"
 
 # Install miniconda
 RUN wget -q https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /workspace/Miniconda3-latest-Linux-x86_64.sh