[BUG] No module named 'pandas.core.arrays._arrow_utils' when using dataporc rapids

[blis-teng]

Describe the bug
I am trying to setup a dataproc cluster with GPU attached, to use cuml and cudf, I followed the instruction https://github.com/GoogleCloudDataproc/initialization-actions/blob/master/rapids/README.md
And able to setup the cluster, with nvidia driver successfully installed. But when I try

import cudf

It throws out the error

TypeError: C function cuda.ccudart.cudaStreamSynchronize has wrong signature (expected __pyx_t_4cuda_7ccudart_cudaError_t (__pyx_t_4cuda_7ccudart_cudaStream_t), got cudaError_t (cudaStream_t)

I follow the instruction here: https://docs.rapids.ai/notices/rsn0020/
But after the downgraded version, another error show up when import cudf which is

No module named 'pandas.core.arrays._arrow_utils'

Steps/Code to reproduce bug

1. setup a GCP dataproc with the instruction.
2. import cudf

Expected behavior
cudf successfully imported.

Environment overview (please complete the following information)

• Environment location: [Bare-metal, Docker, Cloud(specify cloud provider)]
• Method of cuDF install: [conda, Docker, or from source]
  • If method of install is [Docker], provide docker pull & docker run commands used

Environment details
Please run and paste the output of the cudf/print_env.sh script here, to gather any other relevant environment details

Additional context
Add any other context about the problem here.

[beckernick]

Thanks for filing this issue. Let's consolidate discussion in GoogleCloudDataproc/initialization-actions#1039

Closing in favor of the GCP Dataproc issue.