How to solve this problems when installing tensorfolw rc 1.9.0

I want to install python3.5 tensorflow r1.9 : https://nvidia.box.com/v/TF190rc0-py35-wTRT (the installing ways in the link https://devtalk.nvidia.com/default/topic/1031300/jetson-tx2/tensorflow-1-8-wheel-with-jetpack-3-2-/),But when run the code sudo pip3 install tensorflow-1.9.0-cp35-cp35m-linux_aarch64.whl,there happens some error:
ERROR: Could not find a version that satisfies the requirement numpy>=1.13.3 (from tensorflow==1.9.0rc0) (from versions: none)
ERROR: No matching distribution found for numpy>=1.13.3 (from tensorflow==1.9.0rc0)
How could i solve the error?

And,other information is :
root@tegra-ubuntu:~# nvcc -V
nvcc: NVIDIA ® Cuda compiler driver
Copyright © 2005-2017 NVIDIA Corporation
Built on Sun_Nov_19_03:16:56_CST_2017
Cuda compilation tools, release 9.0, V9.0.252

root@tegra-ubuntu:~# head -n 1 /etc/nv_tegra_release

R28 (release), REVISION: 2.1, GCID: 11272647, BOARD: t186ref, EABI: aarch64, DATE: Thu May 17 07:29:06 UTC 2018

se), REVISION: 2.1, GCID: 11272647, BOARD: t186ref, EABI: aarch64, DATE: Thu May 17 07:29:06 UTC 2018

root@tegra-ubuntu:~# head -n 1 /etc/nv_tegra_release

R28 (release), REVISION: 2.1, GCID: 11272647, BOARD: t186ref, EABI: aarch64, DATE: Thu May 17 07:29:06 UTC 2018

root@tegra-ubuntu:~# head -n 1 /etc/nv_tegra_release

R28 (release), REVISION: 2.1, GCID: 11272647, BOARD: t186ref, EABI: aarch64, DATE: Thu May 17 07:29:06 UTC 2018

root@tegra-ubuntu:~# lscpu
Architecture: aarch64
Byte Order: Little Endian
CPU(s): 6
On-line CPU(s) list: 0,3-5
Off-line CPU(s) list: 1,2
Thread(s) per core: 1
Core(s) per socket: 4
Socket(s): 1
Model name: ARMv8 Processor rev 3 (v8l)
CPU max MHz: 2035.2000
CPU min MHz: 345.6000
L1d cache: 32K
L1i cache: 48K
L2 cache: 2048K

root@tegra-ubuntu:~# dpkg --print-architecture
arm64
root@tegra-ubuntu:~# nvprof --version
nvprof: NVIDIA ® Cuda command line profiler
Copyright © 2012 - 2017 NVIDIA Corporation
Release version 9.0.252 (21)
root@tegra-ubuntu:~# cat /usr/include/cudnn.h | grep CUDNN_MAJOR -A 2
#define CUDNN_MAJOR 7
#define CUDNN_MINOR 1
#define CUDNN_PATCHLEVEL 5

#define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)

#include “driver_types.h”
root@tegra-ubuntu:~# pip -V
pip 19.2.3 from /usr/local/lib/python3.5/dist-packages/pip (python 3.5)
root@tegra-ubuntu:~# pip3 -V
pip 19.2.3 from /usr/local/lib/python3.5/dist-packages/pip (python 3.5)
root@tegra-ubuntu:~# dpkg -l | grep TensorRT
ii libnvinfer-dev 4.1.3-1+cuda9.0 arm64 TensorRT development libraries and headers
ii libnvinfer-samples 4.1.3-1+cuda9.0 arm64 TensorRT samples and documentation
ii libnvinfer4 4.1.3-1+cuda9.0 arm64 TensorRT runtime libraries
ii tensorrt 4.0.2.0-1+cuda9.0 arm64 Meta package of TensorRT

,

Hi,

This package is built on JetPack 3.2.
Do you have any dependency on this TensorFlow version?

If not, it’s recommended to use our latest JetPack and TensorFlow release.
JetPack 4.2.2: https://developer.nvidia.com/embedded/jetpack
TensorFlow 1.13.1: https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html

Thanks.

yes ,my jetpack is 3.2,and i want to install the same version tensorflow-gpu ==1.90 as my computer ,because i want to use the trained model on Jetson TX2 .