今回は、開発環境の構築を行います。
使用したイメージファイルは「JetPack 4.3」と言うことで、
NVIDIAのサイトに従い構築していきます。
1.TensorFlowに必要なシステムパッケージをインストールします。
1.1.リポジトリ更新
$ sudo apt-get update
実行
リポジトリ更新.
$ sudo apt-get update
Get:1 file:/var/cuda-repo-10-0-local-10.0.326 InRelease
Ign:1 file:/var/cuda-repo-10-0-local-10.0.326 InRelease
Get:2 file:/var/visionworks-repo InRelease
Ign:2 file:/var/visionworks-repo InRelease
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Ign:3 file:/var/visionworks-sfm-repo InRelease
Get:4 file:/var/visionworks-tracking-repo InRelease
Ign:4 file:/var/visionworks-tracking-repo InRelease
Get:5 file:/var/cuda-repo-10-0-local-10.0.326 Release [574 B]
Get:6 file:/var/visionworks-repo Release [1,999 B]
Get:7 file:/var/visionworks-sfm-repo Release [2,003 B]
Get:8 file:/var/visionworks-tracking-repo Release [2,008 B]
Get:5 file:/var/cuda-repo-10-0-local-10.0.326 Release [574 B]
Get:6 file:/var/visionworks-repo Release [1,999 B]
Get:7 file:/var/visionworks-sfm-repo Release [2,003 B]
Get:8 file:/var/visionworks-tracking-repo Release [2,008 B]
Get:9 https://repo.download.nvidia.com/jetson/common r32 InRelease [2,541 B]
Get:10 https://repo.download.nvidia.com/jetson/t210 r32 InRelease [2,555 B]
Hit:13 http://ports.ubuntu.com/ubuntu-ports bionic InRelease
Hit:15 http://ports.ubuntu.com/ubuntu-ports bionic-updates InRelease
Hit:17 http://ports.ubuntu.com/ubuntu-ports bionic-backports InRelease
Hit:18 http://ports.ubuntu.com/ubuntu-ports bionic-security InRelease
Fetched 5,096 B in 2s (2,197 B/s)
Reading package lists... Done
1.2.必要システムパッケージをインストール
$ sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
実行
必要システムパッケージインストール.
$ sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
Reading package lists... Done
Building dependency tree
Reading state information... Done
zip is already the newest version (3.0-11build1).
zip set to manually installed.
zlib1g-dev is already the newest version (1:1.2.11.dfsg-0ubuntu2).
zlib1g-dev set to manually installed.
The following additional packages will be installed:
cpp-7 g++-7 gcc-7 gcc-7-base gfortran-7 hdf5-helpers libaec-dev libaec0
libasan4 libgcc-7-dev libgfortran-7-dev libgfortran4 libhdf5-100
libhdf5-cpp-100 libjpeg-turbo8 libjpeg-turbo8-dev libstdc++-7-dev libsz2
libubsan0
Suggested packages:
gcc-7-locales gcc-7-doc libstdc++6-7-dbg libgcc1-dbg libgomp1-dbg
libitm1-dbg libatomic1-dbg libasan4-dbg liblsan0-dbg libtsan0-dbg
libubsan0-dbg libcilkrts5-dbg libmpx2-dbg libquadmath0-dbg gfortran-doc
gfortran-7-doc libgfortran4-dbg libcoarrays-dev liblapack-doc libhdf5-doc
libstdc++-7-doc
The following NEW packages will be installed:
gfortran gfortran-7 hdf5-helpers hdf5-tools libaec-dev libaec0 libblas-dev
libgfortran-7-dev libhdf5-100 libhdf5-cpp-100 libhdf5-dev libhdf5-serial-dev
libjpeg-turbo8-dev libjpeg8-dev liblapack-dev libsz2
The following packages will be upgraded:
cpp-7 g++-7 gcc-7 gcc-7-base libasan4 libgcc-7-dev libgfortran4
libjpeg-turbo8 libstdc++-7-dev libubsan0
10 upgraded, 16 newly installed, 0 to remove and 302 not upgraded.
Need to get 39.5 MB of archives.
After this operation, 58.3 MB of additional disk space will be used.
Do you want to continue? [Y/n] # Yを入力してください。
Get:1 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libjpeg-turbo8 arm64 1.5.2-0ubuntu5.18.04.4 [91.5 kB]
Get:2 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libasan4 arm64 7.5.0-3ubuntu1~18.04 [335 kB]
Get:3 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libubsan0 arm64 7.5.0-3ubuntu1~18.04 [117 kB]
Get:4 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 g++-7 arm64 7.5.0-3ubuntu1~18.04 [8,077 kB]
Get:5 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gcc-7 arm64 7.5.0-3ubuntu1~18.04 [7,772 kB]
Get:6 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libstdc++-7-dev arm64 7.5.0-3ubuntu1~18.04 [1,471 kB]
Get:7 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libgcc-7-dev arm64 7.5.0-3ubuntu1~18.04 [833 kB]
Get:8 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libgfortran4 arm64 7.5.0-3ubuntu1~18.04 [248 kB]
Get:9 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 cpp-7 arm64 7.5.0-3ubuntu1~18.04 [7,046 kB]
Get:10 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gcc-7-base arm64 7.5.0-3ubuntu1~18.04 [18.3 kB]
Get:11 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libgfortran-7-dev arm64 7.5.0-3ubuntu1~18.04 [300 kB]
Get:12 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gfortran-7 arm64 7.5.0-3ubuntu1~18.04 [7,465 kB]
Get:13 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 gfortran arm64 4:7.4.0-1ubuntu2.3 [1,344 B]
Get:14 http://ports.ubuntu.com/ubuntu-ports bionic/universe arm64 hdf5-helpers arm64 1.10.0-patch1+docs-4 [12.3 kB]
Get:15 http://ports.ubuntu.com/ubuntu-ports bionic/universe arm64 libaec0 arm64 0.3.2-2 [16.7 kB]
Get:16 http://ports.ubuntu.com/ubuntu-ports bionic/universe arm64 libsz2 arm64 0.3.2-2 [4,926 B]
Get:17 http://ports.ubuntu.com/ubuntu-ports bionic/universe arm64 libhdf5-100 arm64 1.10.0-patch1+docs-4 [1,010 kB]
Get:18 http://ports.ubuntu.com/ubuntu-ports bionic/universe arm64 hdf5-tools arm64 1.10.0-patch1+docs-4 [329 kB]
Get:19 http://ports.ubuntu.com/ubuntu-ports bionic/main arm64 libblas-dev arm64 3.7.1-4ubuntu1 [87.2 kB]
Get:20 http://ports.ubuntu.com/ubuntu-ports bionic/universe arm64 libhdf5-cpp-100 arm64 1.10.0-patch1+docs-4 [102 kB]
Get:21 http://ports.ubuntu.com/ubuntu-ports bionic-updates/main arm64 libjpeg-turbo8-dev arm64 1.5.2-0ubuntu5.18.04.4 [203 kB]
Get:22 http://ports.ubuntu.com/ubuntu-ports bionic/universe arm64 libaec-dev arm64 0.3.2-2 [14.8 kB]
Get:23 http://ports.ubuntu.com/ubuntu-ports bionic/universe arm64 libhdf5-dev arm64 1.10.0-patch1+docs-4 [2,502 kB]
Get:24 http://ports.ubuntu.com/ubuntu-ports bionic/universe arm64 libhdf5-serial-dev all 1.10.0-patch1+docs-4 [2,898 B]
Get:25 http://ports.ubuntu.com/ubuntu-ports bionic/main arm64 libjpeg8-dev arm64 8c-2ubuntu8 [1,550 B]
Get:26 http://ports.ubuntu.com/ubuntu-ports bionic/main arm64 liblapack-dev arm64 3.7.1-4ubuntu1 [1,393 kB]
Fetched 39.5 MB in 39s (1,022 kB/s)
debconf: delaying package configuration, since apt-utils is not installed
(Reading database ... 144420 files and directories currently installed.)
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Setting up libaec0:arm64 (0.3.2-2) ...
Setting up libblas-dev:arm64 (3.7.1-4ubuntu1) ...
update-alternatives: using /usr/lib/aarch64-linux-gnu/blas/libblas.so to provide /usr/lib/aarch64-linux-gnu/libblas.so (libblas.so-aarch64-linux-gnu) in auto mode
Setting up libjpeg-turbo8:arm64 (1.5.2-0ubuntu5.18.04.4) ...
Setting up gcc-7-base:arm64 (7.5.0-3ubuntu1~18.04) ...
Setting up libjpeg-turbo8-dev:arm64 (1.5.2-0ubuntu5.18.04.4) ...
Setting up libjpeg8-dev:arm64 (8c-2ubuntu8) ...
Setting up hdf5-helpers (1.10.0-patch1+docs-4) ...
Setting up libsz2:arm64 (0.3.2-2) ...
Setting up liblapack-dev:arm64 (3.7.1-4ubuntu1) ...
update-alternatives: using /usr/lib/aarch64-linux-gnu/lapack/liblapack.so to provide /usr/lib/aarch64-linux-gnu/liblapack.so (liblapack.so-aarch64-linux-gnu) in auto mode
Setting up libasan4:arm64 (7.5.0-3ubuntu1~18.04) ...
Setting up libgfortran4:arm64 (7.5.0-3ubuntu1~18.04) ...
Setting up libubsan0:arm64 (7.5.0-3ubuntu1~18.04) ...
Setting up libaec-dev:arm64 (0.3.2-2) ...
Setting up libgcc-7-dev:arm64 (7.5.0-3ubuntu1~18.04) ...
Setting up cpp-7 (7.5.0-3ubuntu1~18.04) ...
Setting up libstdc++-7-dev:arm64 (7.5.0-3ubuntu1~18.04) ...
Setting up libgfortran-7-dev:arm64 (7.5.0-3ubuntu1~18.04) ...
Setting up libhdf5-100:arm64 (1.10.0-patch1+docs-4) ...
Setting up gcc-7 (7.5.0-3ubuntu1~18.04) ...
Setting up g++-7 (7.5.0-3ubuntu1~18.04) ...
Setting up hdf5-tools (1.10.0-patch1+docs-4) ...
Setting up gfortran-7 (7.5.0-3ubuntu1~18.04) ...
Setting up gfortran (4:7.4.0-1ubuntu2.3) ...
update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f95 (f95) in auto mode
update-alternatives: warning: skip creation of /usr/share/man/man1/f95.1.gz because associated file /usr/share/man/man1/gfortran.1.gz (of link group f95) doesn't exist
update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f77 (f77) in auto mode
update-alternatives: warning: skip creation of /usr/share/man/man1/f77.1.gz because associated file /usr/share/man/man1/gfortran.1.gz (of link group f77) doesn't exist
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Setting up libhdf5-serial-dev (1.10.0-patch1+docs-4) ...
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2.pip3インストールとアップグレードします。
2.1.pip3インストール
sudo apt-get install python3-pip
実行
pip3インストール.
$ sudo apt-get install python3-pip
Reading package lists... Done
Building dependency tree
Reading state information... Done
python3-pip is already the newest version (9.0.1-2.3~ubuntu1.18.04.1).
0 upgraded, 0 newly installed, 0 to remove and 302 not upgraded.
2.2.pip3アップグレード
sudo sudo pip3 install -U pip testresources setuptools
実行
pip3アップグレード.
$ sudo pip3 install -U pip testresources setuptools
Collecting pip
Downloading https://files.pythonhosted.org/packages/43/84/23ed6a1796480a6f1a2d38f2802901d078266bda38388954d01d3f2e821d/pip-20.1.1-py2.py3-none-any.whl (1.5MB)
|████████████████████████████████| 1.5MB 2.6MB/s
Collecting testresources
Downloading https://files.pythonhosted.org/packages/45/4d/79a9a1f71de22fbc6c6433ac135f68d005de72fbe73e2137d2e77da9252c/testresources-2.0.1-py2.py3-none-any.whl
Collecting setuptools
Downloading https://files.pythonhosted.org/packages/8e/11/9e10f1cad4518cb307b484c255cae61e97f05b82f6d536932b1714e01b47/setuptools-49.2.0-py3-none-any.whl (789kB)
|████████████████████████████████| 798kB 11.1MB/s
Collecting pbr>=1.8
Downloading https://files.pythonhosted.org/packages/96/ba/aa953a11ec014b23df057ecdbc922fdb40ca8463466b1193f3367d2711a6/pbr-5.4.5-py2.py3-none-any.whl (110kB)
|████████████████████████████████| 112kB 17.8MB/s
Installing collected packages: pip, pbr, testresources, setuptools
Found existing installation: pip 19.3.1
Uninstalling pip-19.3.1:
Successfully uninstalled pip-19.3.1
Found existing installation: setuptools 39.0.1
Uninstalling setuptools-39.0.1:
Successfully uninstalled setuptools-39.0.1
Successfully installed pbr-5.4.5 pip-20.1.1 setuptools-49.2.0 testresources-2.0.1
3.Pythonパッケージの依存関係をインストールします。
sudo pip3 install -U numpy==1.16.1 future==0.17.1 mock==3.0.5 h5py==2.9.0 keras_preprocessing==1.0.5 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11
実行
Pythonパッケージ依存関係インストール.
$ sudo pip3 install -U numpy==1.16.1 future==0.17.1 mock==3.0.5 h5py==2.9.0 keras_preprocessing==1.0.5 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11
Collecting numpy==1.16.1
Downloading numpy-1.16.1.zip (5.1 MB)
|████████████████████████████████| 5.1 MB 9.3 kB/s
Collecting future==0.17.1
Downloading future-0.17.1.tar.gz (829 kB)
|████████████████████████████████| 829 kB 17.0 MB/s
Collecting mock==3.0.5
Downloading mock-3.0.5-py2.py3-none-any.whl (25 kB)
Collecting h5py==2.9.0
Downloading h5py-2.9.0.tar.gz (287 kB)
|████████████████████████████████| 287 kB 18.2 MB/s
Collecting keras_preprocessing==1.0.5
Downloading Keras_Preprocessing-1.0.5-py2.py3-none-any.whl (30 kB)
Collecting keras_applications==1.0.8
Downloading Keras_Applications-1.0.8-py3-none-any.whl (50 kB)
|████████████████████████████████| 50 kB 1.2 MB/s
Collecting gast==0.2.2
Downloading gast-0.2.2.tar.gz (10 kB)
Collecting futures
Downloading futures-3.1.1-py3-none-any.whl (2.8 kB)
Collecting protobuf
Downloading protobuf-3.12.2-py2.py3-none-any.whl (443 kB)
|████████████████████████████████| 443 kB 17.7 MB/s
Collecting pybind11
Downloading pybind11-2.5.0-py2.py3-none-any.whl (296 kB)
|████████████████████████████████| 296 kB 20.0 MB/s
Requirement already satisfied, skipping upgrade: six in /usr/lib/python3/dist-packages (from mock==3.0.5) (1.11.0)
Requirement already satisfied, skipping upgrade: setuptools in /usr/local/lib/python3.6/dist-packages (from protobuf) (49.2.0)
Building wheels for collected packages: numpy, future, h5py, gast
Building wheel for numpy (setup.py) ... done
Created wheel for numpy: filename=numpy-1.16.1-cp36-cp36m-linux_aarch64.whl size=7332433 sha256=0972cb10d25b738703b20714867a0a77af0b428cf3f7bfc5b74c53d29af5af82
Stored in directory: /home/dlinano/.cache/pip/wheels/11/6e/75/98ac58953d51b83c763aaa04971aa962fb4b0af518b8b2f0c0
Building wheel for future (setup.py) ... done
Created wheel for future: filename=future-0.17.1-py3-none-any.whl size=490929 sha256=7af5cb8137b6c67b542ef96660ce779063bbc1e56bd7c15de9a9612fc172f58b
Stored in directory: /home/dlinano/.cache/pip/wheels/c4/f0/e2/8e4ecc9e1b12a428a7657ba683576d3e79d0a75982f63e8fd2
Building wheel for h5py (setup.py) ... done
Created wheel for h5py: filename=h5py-2.9.0-cp36-cp36m-linux_aarch64.whl size=3943156 sha256=dea51c5286230ddc4337ab516d65d3ded98b3c25e0f4f96b4109c1795459bd2c
Stored in directory: /home/dlinano/.cache/pip/wheels/de/4b/ce/760cffd13ccc473d7d266fd6029ac25396a149b36e1dfd3564
Building wheel for gast (setup.py) ... done
Created wheel for gast: filename=gast-0.2.2-py3-none-any.whl size=7635 sha256=e270d69786b152eb2c6ad1af93dc9849ae78b03c4b5e9d0835f08b550ef3fc3f
Stored in directory: /home/dlinano/.cache/pip/wheels/19/a7/b9/0740c7a3a7d1d348f04823339274b90de25fbcd217b2ee1fbe
Successfully built numpy future h5py gast
Installing collected packages: numpy, future, mock, h5py, keras-preprocessing, keras-applications, gast, futures, protobuf, pybind11
Attempting uninstall: numpy
Found existing installation: numpy 1.18.1
Uninstalling numpy-1.18.1:
Successfully uninstalled numpy-1.18.1
Attempting uninstall: protobuf
Found existing installation: protobuf 3.0.0
Uninstalling protobuf-3.0.0:
Successfully uninstalled protobuf-3.0.0
Successfully installed future-0.17.1 futures-3.1.1 gast-0.2.2 h5py-2.9.0 keras-applications-1.0.8 keras-preprocessing-1.0.5 mock-3.0.5 numpy-1.16.1 protobuf-3.12.2 pybind11-2.5.0
4.TensorFlowのインストールします。
今回は「JetPack 4.3」なので「v43」としました。
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v43 tensorflow
実行
TensorFlowインストール.
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v43 tensorflow
Looking in indexes: https://pypi.org/simple, https://developer.download.nvidia.com/compute/redist/jp/v43
Collecting tensorflow
Downloading https://developer.download.nvidia.com/compute/redist/jp/v43/tensorflow/tensorflow-2.1.0%2Bnv20.3-cp36-cp36m-linux_aarch64.whl (236.9 MB)
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Requirement already satisfied: wheel>=0.26; python_version >= "3" in /usr/lib/python3/dist-packages (from tensorflow) (0.30.0)
Collecting google-pasta>=0.1.6
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Collecting keras-preprocessing>=1.1.0
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Collecting six>=1.12.0
Downloading six-1.15.0-py2.py3-none-any.whl (10 kB)
Collecting scipy==1.4.1; python_version >= "3"
Downloading scipy-1.4.1.tar.gz (24.6 MB)
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Installing build dependencies ... done
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Collecting opt-einsum>=2.3.2
Downloading opt_einsum-3.2.1-py3-none-any.whl (63 kB)
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Collecting astor>=0.6.0
Downloading astor-0.8.1-py2.py3-none-any.whl (27 kB)
Requirement already satisfied: numpy<2.0,>=1.16.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow) (1.16.1)
Collecting tensorflow-estimator<2.2.0,>=2.1.0rc0
Downloading tensorflow_estimator-2.1.0-py2.py3-none-any.whl (448 kB)
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Collecting wrapt>=1.11.1
Downloading wrapt-1.12.1.tar.gz (27 kB)
Collecting grpcio>=1.8.6
Downloading grpcio-1.30.0.tar.gz (19.7 MB)
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Requirement already satisfied: keras-applications>=1.0.8 in /usr/local/lib/python3.6/dist-packages (from tensorflow) (1.0.8)
Collecting absl-py>=0.7.0
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Collecting termcolor>=1.1.0
Downloading termcolor-1.1.0.tar.gz (3.9 kB)
Collecting tensorboard<2.2.0,>=2.1.0
Downloading tensorboard-2.1.1-py3-none-any.whl (3.8 MB)
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Collecting requests<3,>=2.21.0
Downloading requests-2.24.0-py2.py3-none-any.whl (61 kB)
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Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.6/dist-packages (from tensorboard<2.2.0,>=2.1.0->tensorflow) (0.16.0)
Collecting google-auth<2,>=1.6.3
Downloading google_auth-1.19.1-py2.py3-none-any.whl (91 kB)
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Collecting google-auth-oauthlib<0.5,>=0.4.1
Downloading google_auth_oauthlib-0.4.1-py2.py3-none-any.whl (18 kB)
Collecting markdown>=2.6.8
Downloading Markdown-3.2.2-py3-none-any.whl (88 kB)
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Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests<3,>=2.21.0->tensorboard<2.2.0,>=2.1.0->tensorflow) (2018.1.18)
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Requirement already satisfied: idna<3,>=2.5 in /usr/lib/python3/dist-packages (from requests<3,>=2.21.0->tensorboard<2.2.0,>=2.1.0->tensorflow) (2.6)
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Collecting rsa<5,>=3.1.4; python_version >= "3"
Downloading rsa-4.6-py3-none-any.whl (47 kB)
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Collecting cachetools<5.0,>=2.0.0
Downloading cachetools-4.1.1-py3-none-any.whl (10 kB)
Collecting pyasn1-modules>=0.2.1
Downloading pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)
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Collecting requests-oauthlib>=0.7.0
Downloading requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)
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Collecting pyasn1>=0.1.3
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Collecting oauthlib>=3.0.0
Downloading oauthlib-3.1.0-py2.py3-none-any.whl (147 kB)
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Requirement already satisfied: more-itertools in /usr/local/lib/python3.6/dist-packages (from zipp>=0.5->importlib-metadata; python_version < "3.8"->markdown>=2.6.8->tensorboard<2.2.0,>=2.1.0->tensorflow) (8.0.2)
Building wheels for collected packages: scipy, wrapt, grpcio, absl-py, termcolor
Building wheel for scipy (PEP 517) ... |^[[18~done
Created wheel for scipy: filename=scipy-1.4.1-cp36-cp36m-linux_aarch64.whl size=43345680 sha256=976547cdfb084a66930adf8254f67ff419f4d8f57182b85d34d86ef44e890155
Stored in directory: /home/dlinano/.cache/pip/wheels/a7/ec/8f/659245440bf344b931b59491d6a8022f82cf4a79c665c585c3
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Stored in directory: /home/dlinano/.cache/pip/wheels/32/42/7f/23cae9ff6ef66798d00dc5d659088e57dbba01566f6c60db63
Building wheel for grpcio (setup.py) ... done
Created wheel for grpcio: filename=grpcio-1.30.0-cp36-cp36m-linux_aarch64.whl size=22176960 sha256=3393167775a536875ac5f5fb312aaaf8e49c0d691e3254f2525aaedc353c891a
Stored in directory: /home/dlinano/.cache/pip/wheels/1a/ac/d0/12bc45a1e87a416c765a1b54627c2939d53c3008859a0371e1
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Created wheel for absl-py: filename=absl_py-0.9.0-py3-none-any.whl size=119396 sha256=f4c87d4e576f03b10af7f73f09cc14dff9adce6525bb2c1ff8e8c8ce9bf69498
Stored in directory: /home/dlinano/.cache/pip/wheels/c3/af/84/3962a6af7b4ab336e951b7877dcfb758cf94548bb1771e0679
Building wheel for termcolor (setup.py) ... done
Created wheel for termcolor: filename=termcolor-1.1.0-py3-none-any.whl size=5679 sha256=cdb5d55874f41967186bdec8d96f93c1f4c2205918c979e73c28b002169f809a
Stored in directory: /home/dlinano/.cache/pip/wheels/93/2a/eb/e58dbcbc963549ee4f065ff80a59f274cc7210b6eab962acdc
Successfully built scipy wrapt grpcio absl-py termcolor
Installing collected packages: six, google-pasta, keras-preprocessing, scipy, opt-einsum, astor, tensorflow-estimator, wrapt, grpcio, absl-py, termcolor, requests, pyasn1, rsa, cachetools, pyasn1-modules, google-auth, oauthlib, requests-oauthlib, google-auth-oauthlib, markdown, tensorboard, tensorflow
Attempting uninstall: six
Found existing installation: six 1.11.0
Uninstalling six-1.11.0:
Successfully uninstalled six-1.11.0
Attempting uninstall: keras-preprocessing
Found existing installation: Keras-Preprocessing 1.0.5
Uninstalling Keras-Preprocessing-1.0.5:
Successfully uninstalled Keras-Preprocessing-1.0.5
Attempting uninstall: requests
Found existing installation: requests 2.18.4
Uninstalling requests-2.18.4:
Successfully uninstalled requests-2.18.4
Attempting uninstall: oauthlib
Found existing installation: oauthlib 2.0.6
Uninstalling oauthlib-2.0.6:
Successfully uninstalled oauthlib-2.0.6
Successfully installed absl-py-0.9.0 astor-0.8.1 cachetools-4.1.1 google-auth-1.19.1 google-auth-oauthlib-0.4.1 google-pasta-0.2.0 grpcio-1.30.0 keras-preprocessing-1.1.2 markdown-3.2.2 oauthlib-3.1.0 opt-einsum-3.2.1 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.24.0 requests-oauthlib-1.3.0 rsa-4.6 scipy-1.4.1 six-1.15.0 tensorboard-2.1.1 tensorflow-2.1.0+nv20.3.tf2 tensorflow-estimator-2.1.0 termcolor-1.1.0 wrapt-1.12.1
5.TensorFlowインストール確認します。
$ python3
import tensorflow
TensorFlowインストール確認.
$ python3
Python 3.6.9 (default, Nov 7 2019, 10:44:02)
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow
2020-07-17 05:29:18.293314: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2020-07-17 05:29:22.202343: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer.so.6
2020-07-17 05:29:22.306360: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer_plugin.so.6
6.PyMongoのインストールします。
PythonからMongoDBにアクセスするためのライブラリ「PyMongo」をインストールします。
$ sudo pip3 install pymongo
実行
PyMongoインストール.
$ sudo pip3 install pymongo
[sudo] password for dlinano: # パスワードを入力してください。
Collecting pymongo
Downloading pymongo-3.10.1-cp36-cp36m-manylinux2014_aarch64.whl (459 kB)
|████████████████████████████████| 459 kB 5.1 MB/s
Installing collected packages: pymongo
Successfully installed pymongo-3.10.1
7.kerasのインストールします。
Pythonにて機械学習するためには、ほぼ必須？なPythonの深層学習ライブラリをインストールします。
7.1.必要システムパッケージをインストール
必要システムパッケージインストール.
$ sudo apt install libatlas-base-dev gfortran
Reading package lists... Done
Building dependency tree
Reading state information... Done
gfortran is already the newest version (4:7.4.0-1ubuntu2.3).
Suggested packages:
libatlas-doc liblapack-doc
The following NEW packages will be installed:
libatlas-base-dev libatlas3-base
0 upgraded, 2 newly installed, 0 to remove and 302 not upgraded.
Need to get 4,740 kB of archives.
After this operation, 33.4 MB of additional disk space will be used.
Get:1 http://ports.ubuntu.com/ubuntu-ports bionic/universe arm64 libatlas3-base arm64 3.10.3-5 [2,097 kB]
Get:2 http://ports.ubuntu.com/ubuntu-ports bionic/universe arm64 libatlas-base-dev arm64 3.10.3-5 [2,643 kB]
Fetched 4,740 kB in 5s (900 kB/s)
debconf: delaying package configuration, since apt-utils is not installed
Selecting previously unselected package libatlas3-base:arm64.
(Reading database ... 144722 files and directories currently installed.)
Preparing to unpack .../libatlas3-base_3.10.3-5_arm64.deb ...
Unpacking libatlas3-base:arm64 (3.10.3-5) ...
Selecting previously unselected package libatlas-base-dev:arm64.
Preparing to unpack .../libatlas-base-dev_3.10.3-5_arm64.deb ...
Unpacking libatlas-base-dev:arm64 (3.10.3-5) ...
Setting up libatlas3-base:arm64 (3.10.3-5) ...
update-alternatives: using /usr/lib/aarch64-linux-gnu/atlas/libblas.so.3 to provide /usr/lib/aarch64-linux-gnu/libblas.so.3 (libblas.so.3-aarch64-linux-gnu) in auto mode
update-alternatives: using /usr/lib/aarch64-linux-gnu/atlas/liblapack.so.3 to provide /usr/lib/aarch64-linux-gnu/liblapack.so.3 (liblapack.so.3-aarch64-linux-gnu) in auto mode
Setting up libatlas-base-dev:arm64 (3.10.3-5) ...
update-alternatives: using /usr/lib/aarch64-linux-gnu/atlas/libblas.so to provide /usr/lib/aarch64-linux-gnu/libblas.so (libblas.so-aarch64-linux-gnu) in auto mode
update-alternatives: using /usr/lib/aarch64-linux-gnu/atlas/liblapack.so to provide /usr/lib/aarch64-linux-gnu/liblapack.so (liblapack.so-aarch64-linux-gnu) in auto mode
Processing triggers for libc-bin (2.27-3ubuntu1) ...
7.2.kerasをインストールします。
$ sudo pip3 install keras==2.3.1
実行
$ sudo pip3 install keras==2.3.1
Collecting keras==2.3.1
Downloading Keras-2.3.1-py2.py3-none-any.whl (377 kB)
|████████████████████████████████| 377 kB 6.5 MB/s
Requirement already satisfied: keras-applications>=1.0.6 in /usr/local/lib/python3.6/dist-packages (from keras==2.3.1) (1.0.8)
Requirement already satisfied: six>=1.9.0 in /usr/local/lib/python3.6/dist-packages (from keras==2.3.1) (1.15.0)
Requirement already satisfied: keras-preprocessing>=1.0.5 in /usr/local/lib/python3.6/dist-packages (from keras==2.3.1) (1.1.2)
Requirement already satisfied: pyyaml in /usr/lib/python3/dist-packages (from keras==2.3.1) (3.12)
Requirement already satisfied: scipy>=0.14 in /usr/local/lib/python3.6/dist-packages (from keras==2.3.1) (1.4.1)
Requirement already satisfied: numpy>=1.9.1 in /usr/local/lib/python3.6/dist-packages (from keras==2.3.1) (1.16.1)
Requirement already satisfied: h5py in /usr/local/lib/python3.6/dist-packages (from keras==2.3.1) (2.9.0)
Installing collected packages: keras
Attempting uninstall: keras
Found existing installation: Keras 2.4.3
Uninstalling Keras-2.4.3:
Successfully uninstalled Keras-2.4.3
Successfully installed keras-2.3.1
8.sklearnをインストールします。
$ sudo pip3 install sklearn
実行
$ sudo pip3 install sklearn
Collecting sklearn
Downloading sklearn-0.0.tar.gz (1.1 kB)
Collecting scikit-learn
Downloading scikit-learn-0.23.1.tar.gz (7.2 MB)
|████████████████████████████████| 7.2 MB 31 kB/s
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing wheel metadata ... done
Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-learn->sklearn) (0.16.0)
Requirement already satisfied: scipy>=0.19.1 in /usr/local/lib/python3.6/dist-packages (from scikit-learn->sklearn) (1.4.1)
Collecting threadpoolctl>=2.0.0
Downloading threadpoolctl-2.1.0-py3-none-any.whl (12 kB)
Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from scikit-learn->sklearn) (1.16.1)
Building wheels for collected packages: sklearn, scikit-learn
Building wheel for sklearn (setup.py) ... done
Created wheel for sklearn: filename=sklearn-0.0-py2.py3-none-any.whl size=2397 sha256=048efbbb0de80a06122f8675a12034535782dc5e10dc077884d74012d0db48d4
Stored in directory: /home/dlinano/.cache/pip/wheels/23/9d/42/5ec745cbbb17517000a53cecc49d6a865450d1f5cb16dc8a9c
Building wheel for scikit-learn (PEP 517) ... -^[[done
Created wheel for scikit-learn: filename=scikit_learn-0.23.1-cp36-cp36m-linux_aarch64.whl size=17314152 sha256=8d04b101a87ed0f63e45f1a5a2e67f2d225a5ca7cb08159027d3033022bcbf2c
Stored in directory: /home/dlinano/.cache/pip/wheels/60/b6/1c/27b7551bfaab917703c272d3757f3cee4868028217a266de1b
Successfully built sklearn scikit-learn
Installing collected packages: threadpoolctl, scikit-learn, sklearn
Successfully installed scikit-learn-0.23.1 sklearn-0.0 threadpoolctl-2.1.0
9.jetson-statsをインストールします。
あると便利なjetsonの状態モニタをインストールします。
$ sudo pip3 install jetson-stats
実行
sudo pip3 install jetson-stats
Collecting jetson-stats
Downloading jetson-stats-2.1.0.tar.gz (70 kB)
|████████████████████████████████| 70 kB 1.1 MB/s
Building wheels for collected packages: jetson-stats
Building wheel for jetson-stats (setup.py) ... done
Created wheel for jetson-stats: filename=jetson_stats-2.1.0-py3-none-any.whl size=86460 sha256=52965db6c8b7b48a44777a04211099a39932d655e7d103f9673fa8bc0a57884f
Stored in directory: /home/dlinano/.cache/pip/wheels/b6/55/b7/fe1d0b5af2e21e44532ed064b90ccf4e2cb0abd40709825282
Successfully built jetson-stats
Installing collected packages: jetson-stats
Successfully installed jetson-stats-2.1.0
以下コマンドで、CPU、GPUなどの情報が表示できます。
sudo jtop
[sudo] password for dlinano: # いつも通りパスワードを入力して下さい。
A.その他
私の環境では、
train_test_split（テストデータ分割関数）を使用するために
from sklearn.model_selection import train_test_split
をソースコードの記載し、実行すると
ImportError: /usr/lib/aarch64-linux-gnu/libgomp.so.1: cannot allocate memory in static TLS block
となってしまうので、
$ export LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libgomp.so.1
を実行しました。
コマンドラインでは、その端末のみ有効となるため、恒久的に行う場合には、
~/.bashrc
export LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libgomp.so.1
を追加して下さい。
この対処が正しいかはわかっていませんが、とりあえず実行できるようになりました。