# 1. Install Conda and make Conda packages available in current environment
!wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
!chmod +x Miniconda3-latest-Linux-x86_64.sh
!sudo bash ./Miniconda3-latest-Linux-x86_64.sh -b -f -p /usr/local
import sys
sys.path.append('/usr/local/lib/python3.7/site-packages/')
--2021-02-09 12:52:15-- https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.131.3, 104.16.130.3, 2606:4700::6810:8303, ...
Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.131.3|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 94235922 (90M) [application/x-sh]
Saving to: ‘Miniconda3-latest-Linux-x86_64.sh.2’
Miniconda3-latest-L 100%[===================>] 89.87M 67.4MB/s in 1.3s
2021-02-09 12:52:16 (67.4 MB/s) - ‘Miniconda3-latest-Linux-x86_64.sh.2’ saved [94235922/94235922]
PREFIX=/usr/local
Unpacking payload ...
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /usr/local
added / updated specs:
- _libgcc_mutex==0.1=main
- ca-certificates==2020.1.1=0
- certifi==2020.4.5.1=py37_0
- cffi==1.14.0=py37he30daa8_1
- chardet==3.0.4=py37_1003
- conda-package-handling==1.6.1=py37h7b6447c_0
- conda==4.8.3=py37_0
- cryptography==2.9.2=py37h1ba5d50_0
- idna==2.9=py_1
- ld_impl_linux-64==2.33.1=h53a641e_7
- libedit==3.1.20181209=hc058e9b_0
- libffi==3.3=he6710b0_1
- libgcc-ng==9.1.0=hdf63c60_0
- libstdcxx-ng==9.1.0=hdf63c60_0
- ncurses==6.2=he6710b0_1
- openssl==1.1.1g=h7b6447c_0
- pip==20.0.2=py37_3
- pycosat==0.6.3=py37h7b6447c_0
- pycparser==2.20=py_0
- pyopenssl==19.1.0=py37_0
- pysocks==1.7.1=py37_0
- python==3.7.7=hcff3b4d_5
- readline==8.0=h7b6447c_0
- requests==2.23.0=py37_0
- ruamel_yaml==0.15.87=py37h7b6447c_0
- setuptools==46.4.0=py37_0
- six==1.14.0=py37_0
- sqlite==3.31.1=h62c20be_1
- tk==8.6.8=hbc83047_0
- tqdm==4.46.0=py_0
- urllib3==1.25.8=py37_0
- wheel==0.34.2=py37_0
- xz==5.2.5=h7b6447c_0
- yaml==0.1.7=had09818_2
- zlib==1.2.11=h7b6447c_3
The following NEW packages will be INSTALLED:
_libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main
ca-certificates pkgs/main/linux-64::ca-certificates-2020.1.1-0
certifi pkgs/main/linux-64::certifi-2020.4.5.1-py37_0
cffi pkgs/main/linux-64::cffi-1.14.0-py37he30daa8_1
chardet pkgs/main/linux-64::chardet-3.0.4-py37_1003
conda pkgs/main/linux-64::conda-4.8.3-py37_0
conda-package-han~ pkgs/main/linux-64::conda-package-handling-1.6.1-py37h7b6447c_0
cryptography pkgs/main/linux-64::cryptography-2.9.2-py37h1ba5d50_0
idna pkgs/main/noarch::idna-2.9-py_1
ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.33.1-h53a641e_7
libedit pkgs/main/linux-64::libedit-3.1.20181209-hc058e9b_0
libffi pkgs/main/linux-64::libffi-3.3-he6710b0_1
libgcc-ng pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
ncurses pkgs/main/linux-64::ncurses-6.2-he6710b0_1
openssl pkgs/main/linux-64::openssl-1.1.1g-h7b6447c_0
pip pkgs/main/linux-64::pip-20.0.2-py37_3
pycosat pkgs/main/linux-64::pycosat-0.6.3-py37h7b6447c_0
pycparser pkgs/main/noarch::pycparser-2.20-py_0
pyopenssl pkgs/main/linux-64::pyopenssl-19.1.0-py37_0
pysocks pkgs/main/linux-64::pysocks-1.7.1-py37_0
python pkgs/main/linux-64::python-3.7.7-hcff3b4d_5
readline pkgs/main/linux-64::readline-8.0-h7b6447c_0
requests pkgs/main/linux-64::requests-2.23.0-py37_0
ruamel_yaml pkgs/main/linux-64::ruamel_yaml-0.15.87-py37h7b6447c_0
setuptools pkgs/main/linux-64::setuptools-46.4.0-py37_0
six pkgs/main/linux-64::six-1.14.0-py37_0
sqlite pkgs/main/linux-64::sqlite-3.31.1-h62c20be_1
tk pkgs/main/linux-64::tk-8.6.8-hbc83047_0
tqdm pkgs/main/noarch::tqdm-4.46.0-py_0
urllib3 pkgs/main/linux-64::urllib3-1.25.8-py37_0
wheel pkgs/main/linux-64::wheel-0.34.2-py37_0
xz pkgs/main/linux-64::xz-5.2.5-h7b6447c_0
yaml pkgs/main/linux-64::yaml-0.1.7-had09818_2
zlib pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3
Preparing transaction: done
Executing transaction: done
installation finished.
# 2. Package installation
# !sudo conda install -y [EXTRA_OPTIONS] package_name
# So for example Keras from conda-forge channel
!sudo conda install -y -c conda-forge keras
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.8.3
latest version: 4.9.2
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: /usr/local
added / updated specs:
- keras
The following packages will be downloaded:
package | build
---------------------------|-----------------
absl-py-0.11.0 | py37h89c1867_0 168 KB conda-forge
astor-0.8.1 | pyh9f0ad1d_0 25 KB conda-forge
binutils_impl_linux-64-2.31.1| h6176602_1 3.9 MB
binutils_linux-64-2.31.1 | h6176602_9 26 KB
c-ares-1.17.1 | h36c2ea0_0 111 KB conda-forge
ca-certificates-2020.12.5 | ha878542_0 137 KB conda-forge
cached-property-1.5.1 | py_0 10 KB conda-forge
certifi-2020.12.5 | py37h89c1867_1 143 KB conda-forge
conda-4.9.2 | py37h89c1867_0 3.0 MB conda-forge
gast-0.4.0 | pyh9f0ad1d_0 12 KB conda-forge
gcc_impl_linux-64-7.3.0 | habb00fd_1 41.9 MB
gcc_linux-64-7.3.0 | h553295d_9 27 KB
google-pasta-0.2.0 | pyh8c360ce_0 42 KB conda-forge
grpcio-1.33.2 | py37haffed2e_2 1.8 MB conda-forge
gxx_impl_linux-64-7.3.0 | hdf63c60_1 15.0 MB
gxx_linux-64-7.3.0 | h553295d_9 26 KB
h5py-3.1.0 |nompi_py37h1e651dc_100 1.2 MB conda-forge
hdf5-1.10.6 |nompi_h7c3c948_1111 3.1 MB conda-forge
importlib-metadata-3.4.0 | py37h89c1867_0 20 KB conda-forge
keras-2.3.1 | py37_0 591 KB conda-forge
keras-applications-1.0.8 | py_1 30 KB conda-forge
keras-preprocessing-1.1.2 | pyhd8ed1ab_0 34 KB conda-forge
krb5-1.17.1 | h173b8e3_0 1.3 MB
libblas-3.9.0 | 8_openblas 11 KB conda-forge
libcblas-3.9.0 | 8_openblas 11 KB conda-forge
libcurl-7.71.1 | hcdd3856_3 302 KB conda-forge
libgfortran-ng-7.5.0 | h14aa051_18 22 KB conda-forge
libgfortran4-7.5.0 | h14aa051_18 1.3 MB conda-forge
libgpuarray-0.7.6 | h14c3975_1003 263 KB conda-forge
liblapack-3.9.0 | 8_openblas 11 KB conda-forge
libopenblas-0.3.12 |pthreads_hb3c22a3_1 8.2 MB conda-forge
libpng-1.6.37 | h21135ba_2 306 KB conda-forge
libprotobuf-3.14.0 | h8c45485_0 2.0 MB
libssh2-1.9.0 | hab1572f_5 225 KB conda-forge
mako-1.1.4 | pyh44b312d_0 58 KB conda-forge
markdown-3.3.3 | pyh9f0ad1d_0 66 KB conda-forge
markupsafe-1.1.1 | py37hb5d75c8_2 27 KB conda-forge
numpy-1.18.1 | py37h8960a57_1 5.2 MB conda-forge
openssl-1.1.1i | h27cfd23_0 2.5 MB
protobuf-3.14.0 | py37h2531618_1 303 KB
pygpu-0.7.6 |py37h161383b_1002 654 KB conda-forge
python_abi-3.7 | 1_cp37m 4 KB conda-forge
pyyaml-5.1.2 | py37h516909a_0 184 KB conda-forge
scipy-1.5.3 | py37h8911b10_0 18.5 MB conda-forge
tensorboard-1.14.0 | py37_0 3.2 MB conda-forge
tensorflow-1.14.0 | h4531e10_0 23 KB conda-forge
tensorflow-base-1.14.0 | py37h4531e10_0 87.6 MB conda-forge
tensorflow-estimator-1.14.0| py37h5ca1d4c_0 645 KB conda-forge
termcolor-1.1.0 | py_2 6 KB conda-forge
theano-1.0.5 | py37h745909e_1 3.7 MB conda-forge
typing_extensions-3.7.4.3 | py_0 25 KB conda-forge
werkzeug-1.0.1 | pyh9f0ad1d_0 239 KB conda-forge
wrapt-1.12.1 | py37h4abf009_2 47 KB conda-forge
zipp-3.4.0 | py_0 11 KB conda-forge
------------------------------------------------------------
Total: 208.2 MB
The following NEW packages will be INSTALLED:
absl-py conda-forge/linux-64::absl-py-0.11.0-py37h89c1867_0
astor conda-forge/noarch::astor-0.8.1-pyh9f0ad1d_0
binutils_impl_lin~ pkgs/main/linux-64::binutils_impl_linux-64-2.31.1-h6176602_1
binutils_linux-64 pkgs/main/linux-64::binutils_linux-64-2.31.1-h6176602_9
c-ares conda-forge/linux-64::c-ares-1.17.1-h36c2ea0_0
cached-property conda-forge/noarch::cached-property-1.5.1-py_0
gast conda-forge/noarch::gast-0.4.0-pyh9f0ad1d_0
gcc_impl_linux-64 pkgs/main/linux-64::gcc_impl_linux-64-7.3.0-habb00fd_1
gcc_linux-64 pkgs/main/linux-64::gcc_linux-64-7.3.0-h553295d_9
google-pasta conda-forge/noarch::google-pasta-0.2.0-pyh8c360ce_0
grpcio conda-forge/linux-64::grpcio-1.33.2-py37haffed2e_2
gxx_impl_linux-64 pkgs/main/linux-64::gxx_impl_linux-64-7.3.0-hdf63c60_1
gxx_linux-64 pkgs/main/linux-64::gxx_linux-64-7.3.0-h553295d_9
h5py conda-forge/linux-64::h5py-3.1.0-nompi_py37h1e651dc_100
hdf5 conda-forge/linux-64::hdf5-1.10.6-nompi_h7c3c948_1111
importlib-metadata conda-forge/linux-64::importlib-metadata-3.4.0-py37h89c1867_0
keras conda-forge/linux-64::keras-2.3.1-py37_0
keras-applications conda-forge/noarch::keras-applications-1.0.8-py_1
keras-preprocessi~ conda-forge/noarch::keras-preprocessing-1.1.2-pyhd8ed1ab_0
krb5 pkgs/main/linux-64::krb5-1.17.1-h173b8e3_0
libblas conda-forge/linux-64::libblas-3.9.0-8_openblas
libcblas conda-forge/linux-64::libcblas-3.9.0-8_openblas
libcurl conda-forge/linux-64::libcurl-7.71.1-hcdd3856_3
libgfortran-ng conda-forge/linux-64::libgfortran-ng-7.5.0-h14aa051_18
libgfortran4 conda-forge/linux-64::libgfortran4-7.5.0-h14aa051_18
libgpuarray conda-forge/linux-64::libgpuarray-0.7.6-h14c3975_1003
liblapack conda-forge/linux-64::liblapack-3.9.0-8_openblas
libopenblas conda-forge/linux-64::libopenblas-0.3.12-pthreads_hb3c22a3_1
libpng conda-forge/linux-64::libpng-1.6.37-h21135ba_2
libprotobuf pkgs/main/linux-64::libprotobuf-3.14.0-h8c45485_0
libssh2 conda-forge/linux-64::libssh2-1.9.0-hab1572f_5
mako conda-forge/noarch::mako-1.1.4-pyh44b312d_0
markdown conda-forge/noarch::markdown-3.3.3-pyh9f0ad1d_0
markupsafe conda-forge/linux-64::markupsafe-1.1.1-py37hb5d75c8_2
numpy conda-forge/linux-64::numpy-1.18.1-py37h8960a57_1
protobuf pkgs/main/linux-64::protobuf-3.14.0-py37h2531618_1
pygpu conda-forge/linux-64::pygpu-0.7.6-py37h161383b_1002
python_abi conda-forge/linux-64::python_abi-3.7-1_cp37m
pyyaml conda-forge/linux-64::pyyaml-5.1.2-py37h516909a_0
scipy conda-forge/linux-64::scipy-1.5.3-py37h8911b10_0
tensorboard conda-forge/linux-64::tensorboard-1.14.0-py37_0
tensorflow conda-forge/linux-64::tensorflow-1.14.0-h4531e10_0
tensorflow-base conda-forge/linux-64::tensorflow-base-1.14.0-py37h4531e10_0
tensorflow-estima~ conda-forge/linux-64::tensorflow-estimator-1.14.0-py37h5ca1d4c_0
termcolor conda-forge/noarch::termcolor-1.1.0-py_2
theano conda-forge/linux-64::theano-1.0.5-py37h745909e_1
typing_extensions conda-forge/noarch::typing_extensions-3.7.4.3-py_0
werkzeug conda-forge/noarch::werkzeug-1.0.1-pyh9f0ad1d_0
wrapt conda-forge/linux-64::wrapt-1.12.1-py37h4abf009_2
zipp conda-forge/noarch::zipp-3.4.0-py_0
The following packages will be UPDATED:
ca-certificates pkgs/main::ca-certificates-2020.1.1-0 --> conda-forge::ca-certificates-2020.12.5-ha878542_0
certifi pkgs/main::certifi-2020.4.5.1-py37_0 --> conda-forge::certifi-2020.12.5-py37h89c1867_1
conda pkgs/main::conda-4.8.3-py37_0 --> conda-forge::conda-4.9.2-py37h89c1867_0
openssl 1.1.1g-h7b6447c_0 --> 1.1.1i-h27cfd23_0
Downloading and Extracting Packages
c-ares-1.17.1 | 111 KB | ##################################### | 100%
liblapack-3.9.0 | 11 KB | ##################################### | 100%
termcolor-1.1.0 | 6 KB | ##################################### | 100%
keras-preprocessing- | 34 KB | ##################################### | 100%
tensorflow-1.14.0 | 23 KB | ##################################### | 100%
binutils_impl_linux- | 3.9 MB | ##################################### | 100%
gcc_linux-64-7.3.0 | 27 KB | ##################################### | 100%
gxx_linux-64-7.3.0 | 26 KB | ##################################### | 100%
libopenblas-0.3.12 | 8.2 MB | ##################################### | 100%
importlib-metadata-3 | 20 KB | ##################################### | 100%
mako-1.1.4 | 58 KB | ##################################### | 100%
tensorflow-estimator | 645 KB | ##################################### | 100%
libssh2-1.9.0 | 225 KB | ##################################### | 100%
zipp-3.4.0 | 11 KB | ##################################### | 100%
h5py-3.1.0 | 1.2 MB | ##################################### | 100%
keras-applications-1 | 30 KB | ##################################### | 100%
pygpu-0.7.6 | 654 KB | ##################################### | 100%
markdown-3.3.3 | 66 KB | ##################################### | 100%
libblas-3.9.0 | 11 KB | ##################################### | 100%
hdf5-1.10.6 | 3.1 MB | ##################################### | 100%
typing_extensions-3. | 25 KB | ##################################### | 100%
scipy-1.5.3 | 18.5 MB | ##################################### | 100%
libprotobuf-3.14.0 | 2.0 MB | ##################################### | 100%
libgpuarray-0.7.6 | 263 KB | ##################################### | 100%
conda-4.9.2 | 3.0 MB | ##################################### | 100%
gcc_impl_linux-64-7. | 41.9 MB | ##################################### | 100%
numpy-1.18.1 | 5.2 MB | ##################################### | 100%
ca-certificates-2020 | 137 KB | ##################################### | 100%
werkzeug-1.0.1 | 239 KB | ##################################### | 100%
gast-0.4.0 | 12 KB | ##################################### | 100%
grpcio-1.33.2 | 1.8 MB | ##################################### | 100%
wrapt-1.12.1 | 47 KB | ##################################### | 100%
gxx_impl_linux-64-7. | 15.0 MB | ##################################### | 100%
certifi-2020.12.5 | 143 KB | ##################################### | 100%
google-pasta-0.2.0 | 42 KB | ##################################### | 100%
libgfortran4-7.5.0 | 1.3 MB | ##################################### | 100%
cached-property-1.5. | 10 KB | ##################################### | 100%
libpng-1.6.37 | 306 KB | ##################################### | 100%
tensorboard-1.14.0 | 3.2 MB | ##################################### | 100%
keras-2.3.1 | 591 KB | ##################################### | 100%
pyyaml-5.1.2 | 184 KB | ##################################### | 100%
absl-py-0.11.0 | 168 KB | ##################################### | 100%
python_abi-3.7 | 4 KB | ##################################### | 100%
tensorflow-base-1.14 | 87.6 MB | ##################################### | 100%
theano-1.0.5 | 3.7 MB | ##################################### | 100%
krb5-1.17.1 | 1.3 MB | ##################################### | 100%
openssl-1.1.1i | 2.5 MB | ##################################### | 100%
libgfortran-ng-7.5.0 | 22 KB | ##################################### | 100%
binutils_linux-64-2. | 26 KB | ##################################### | 100%
libcurl-7.71.1 | 302 KB | ##################################### | 100%
protobuf-3.14.0 | 303 KB | ##################################### | 100%
markupsafe-1.1.1 | 27 KB | ##################################### | 100%
libcblas-3.9.0 | 11 KB | ##################################### | 100%
astor-0.8.1 | 25 KB | ##################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
# 3. Profit - use Keras 🎉
import keras
Using TensorFlow backend.
/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
/usr/local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])