Installation issue - INFO: pip is looking at multiple versions of pyyaml to determine which version is compatible with other requirements.

Hi @ruizewang, can you please help?

$ pip install -r requirements.txt Collecting absl-py==0.6.0 Using cached absl-py-0.6.0.tar.gz (93 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Collecting astor==0.7.1 Using cached astor-0.7.1-py2.py3-none-any.whl (27 kB) Collecting bleach==1.5.0 Using cached bleach-1.5.0-py2.py3-none-any.whl (17 kB) Collecting certifi==2016.2.28 Using cached certifi-2016.2.28-py2.py3-none-any.whl (366 kB) Collecting cycler==0.10.0 Using cached cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Collecting gast==0.2.0 Using cached gast-0.2.0.tar.gz (9.4 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Collecting grpcio==1.17.0 Using cached grpcio-1.17.0-cp36-cp36m-win_amd64.whl (1.5 MB) Collecting h5py==2.8.0 Using cached h5py-2.8.0-cp36-cp36m-win_amd64.whl (2.3 MB) Collecting html5lib==0.9999999 Using cached html5lib-0.9999999.tar.gz (889 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Collecting Keras==2.0.5 Using cached Keras-2.0.5.tar.gz (216 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Collecting kiwisolver==1.0.1 Using cached kiwisolver-1.0.1-cp36-none-win_amd64.whl (57 kB) Collecting Markdown==3.0.1 Using cached Markdown-3.0.1-py2.py3-none-any.whl (89 kB) Collecting matplotlib==3.0.2 Using cached matplotlib-3.0.2-cp36-cp36m-win_amd64.whl (8.9 MB) Collecting numpy==1.15.4 Using cached numpy-1.15.4-cp36-none-win_amd64.whl (13.5 MB) Collecting Pillow==5.3.0 Using cached Pillow-5.3.0-cp36-cp36m-win_amd64.whl (1.6 MB) Collecting protobuf==3.6.1 Using cached protobuf-3.6.1-cp36-cp36m-win_amd64.whl (1.1 MB) Collecting pyparsing==2.3.0 Using cached pyparsing-2.3.0-py2.py3-none-any.whl (59 kB) Collecting python-dateutil==2.7.5 Using cached python_dateutil-2.7.5-py2.py3-none-any.whl (225 kB) Collecting pyyaml>=4.2b1 Using cached PyYAML-6.0-cp36-cp36m-win_amd64.whl (153 kB) Collecting scipy==1.1.0 Using cached scipy-1.1.0-cp36-none-win_amd64.whl (31.1 MB) Collecting six==1.12.0 Using cached six-1.12.0-py2.py3-none-any.whl (10 kB) Collecting tensorboard==1.8.0 Using cached tensorboard-1.8.0-py3-none-any.whl (3.1 MB) Collecting tensorflow>=1.12.1 Using cached tensorflow-2.6.2-cp36-cp36m-win_amd64.whl (423.3 MB) Collecting termcolor==1.1.0 Using cached termcolor-1.1.0.tar.gz (3.9 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Collecting Theano==1.0.3 Using cached Theano-1.0.3.tar.gz (2.8 MB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Collecting Werkzeug==0.14.1 Using cached Werkzeug-0.14.1-py2.py3-none-any.whl (322 kB) Ignoring enum34: markers 'python_version <= "3.4"' don't match your environment Requirement already satisfied: setuptools in c:\users\nilkant\appdata\local\programs\python\python36\lib\site-packages (from kiwisolver==1.0.1->-r requirements.txt (line 11)) (28.8.0) Collecting wheel>=0.26 Using cached wheel-0.37.1-py2.py3-none-any.whl (35 kB) Collecting tensorflow>=1.12.1 Using cached tensorflow-2.6.1-cp36-cp36m-win_amd64.whl (423.3 MB) Using cached tensorflow-2.6.0-cp36-cp36m-win_amd64.whl (423.2 MB) Using cached tensorflow-2.5.2-cp36-cp36m-win_amd64.whl (422.6 MB) Using cached tensorflow-2.5.1-cp36-cp36m-win_amd64.whl (422.6 MB) Using cached tensorflow-2.5.0-cp36-cp36m-win_amd64.whl (422.6 MB) Using cached tensorflow-2.4.4-cp36-cp36m-win_amd64.whl (370.8 MB) Using cached tensorflow-2.4.3-cp36-cp36m-win_amd64.whl (370.8 MB) Using cached tensorflow-2.4.2-cp36-cp36m-win_amd64.whl (370.8 MB) Using cached tensorflow-2.4.1-cp36-cp36m-win_amd64.whl (370.7 MB) Using cached tensorflow-2.4.0-cp36-cp36m-win_amd64.whl (370.6 MB) Using cached tensorflow-2.3.4-cp36-cp36m-win_amd64.whl (342.7 MB) Collecting opt-einsum>=2.3.2 Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB) Collecting tensorflow>=1.12.1 Using cached tensorflow-2.3.3-cp36-cp36m-win_amd64.whl (342.6 MB) Using cached tensorflow-2.3.2-cp36-cp36m-win_amd64.whl (342.5 MB) Using cached tensorflow-2.3.1-cp36-cp36m-win_amd64.whl (342.5 MB) Using cached tensorflow-2.3.0-cp36-cp36m-win_amd64.whl (342.5 MB) Using cached tensorflow-2.2.3-cp36-cp36m-win_amd64.whl (459.2 MB) Using cached tensorflow-2.2.2-cp36-cp36m-win_amd64.whl (459.2 MB) Using cached tensorflow-2.2.1-cp36-cp36m-win_amd64.whl (459.2 MB) Using cached tensorflow-2.2.0-cp36-cp36m-win_amd64.whl (459.1 MB) Collecting wrapt>=1.11.1 Using cached wrapt-1.14.0-cp36-cp36m-win_amd64.whl (36 kB) Collecting astunparse==1.6.3 Using cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB) Collecting tensorflow>=1.12.1 Using cached tensorflow-2.1.4-cp36-cp36m-win_amd64.whl (355.9 MB) Collecting keras-applications>=1.0.8 Using cached Keras_Applications-1.0.8-py3-none-any.whl (50 kB) Collecting tensorflow>=1.12.1 Using cached tensorflow-2.1.3-cp36-cp36m-win_amd64.whl (355.9 MB) Using cached tensorflow-2.1.2-cp36-cp36m-win_amd64.whl (355.9 MB) Using cached tensorflow-2.1.1-cp36-cp36m-win_amd64.whl (355.9 MB) Using cached tensorflow-2.1.0-cp36-cp36m-win_amd64.whl (355.9 MB) Using cached tensorflow-2.0.4-cp36-cp36m-win_amd64.whl (48.1 MB) Using cached tensorflow-2.0.3-cp36-cp36m-win_amd64.whl (48.1 MB) Using cached tensorflow-2.0.2-cp36-cp36m-win_amd64.whl (48.1 MB) Using cached tensorflow-2.0.1-cp36-cp36m-win_amd64.whl (48.1 MB) Using cached tensorflow-2.0.0-cp36-cp36m-win_amd64.whl (48.1 MB) Using cached tensorflow-1.15.5-cp36-cp36m-win_amd64.whl (55.3 MB) Using cached tensorflow-1.15.4-cp36-cp36m-win_amd64.whl (55.3 MB) Using cached tensorflow-1.15.3-cp36-cp36m-win_amd64.whl (55.3 MB) Collecting tensorflow-estimator==1.15.1 Using cached tensorflow_estimator-1.15.1-py2.py3-none-any.whl (503 kB) Collecting tensorflow>=1.12.1 Using cached tensorflow-1.15.2-cp36-cp36m-win_amd64.whl (55.3 MB) Using cached tensorflow-1.15.0-cp36-cp36m-win_amd64.whl (295.1 MB) Using cached tensorflow-1.14.0-cp36-cp36m-win_amd64.whl (68.3 MB) Collecting google-pasta>=0.1.6 Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB) Collecting keras-preprocessing>=1.0.5 Using cached Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB) Collecting tensorflow-estimator<1.15.0rc0,>=1.14.0rc0 Downloading tensorflow_estimator-1.14.0-py2.py3-none-any.whl (488 kB) Collecting tensorflow>=1.12.1 Using cached tensorflow-1.13.2-cp36-cp36m-win_amd64.whl (63.1 MB) Using cached tensorflow-1.13.1-cp36-cp36m-win_amd64.whl (63.1 MB) Using cached tensorflow-1.12.3-cp36-cp36m-win_amd64.whl (45.9 MB) Using cached tensorflow-1.12.2-cp36-cp36m-win_amd64.whl (45.9 MB) INFO: pip is looking at multiple versions of pyyaml to determine which version is compatible with other requirements. This could take a while. Collecting pyyaml>=4.2b1 Using cached PyYAML-6.0b1-cp36-cp36m-win_amd64.whl (153 kB) INFO: pip is looking at multiple versions of werkzeug to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of theano to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of termcolor to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of tensorboard to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of six to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of scipy to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of python-dateutil to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of pyparsing to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of protobuf to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of pillow to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of numpy to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of matplotlib to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of markdown to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of kiwisolver to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of keras to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of html5lib to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of h5py to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of grpcio to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of gast to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of cycler to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of certifi to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of bleach to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of astor to determine which version is compatible with other requirements. This could take a while. INFO: pip is looking at multiple versions of absl-py to determine which version is compatible with other requirements. This could take a while. ERROR: Cannot install -r requirements.txt (line 1), -r requirements.txt (line 10), -r requirements.txt (line 13), -r requirements.txt (line 16), -r requirements.txt (line 18), -r requirements.txt (line 20), -r requirements.txt (line 22), -r requirements.txt (line 23), -r requirements.txt (line 25), -r requirements.txt (line 3), -r requirements.txt (line 5), -r requirements.txt (line 7), -r requirements.txt (line 8), -r requirements.txt (line 9), gast==0.2.0, numpy==1.15.4, scipy==1.1.0, six==1.12.0 and tensorboard==1.8.0 because these package versions have conflicting dependencies.

The conflict is caused by: The user requested six==1.12.0 absl-py 0.6.0 depends on six bleach 1.5.0 depends on six cycler 0.10.0 depends on six grpcio 1.17.0 depends on six>=1.5.2 h5py 2.8.0 depends on six html5lib 0.9999999 depends on six keras 2.0.5 depends on six protobuf 3.6.1 depends on six>=1.9 python-dateutil 2.7.5 depends on six>=1.5 tensorboard 1.8.0 depends on six>=1.10.0 theano 1.0.3 depends on six>=1.9.0 tensorflow 2.6.2 depends on six~=1.15.0 The user requested six==1.12.0 absl-py 0.6.0 depends on six bleach 1.5.0 depends on six cycler 0.10.0 depends on six grpcio 1.17.0 depends on six>=1.5.2 h5py 2.8.0 depends on six html5lib 0.9999999 depends on six keras 2.0.5 depends on six protobuf 3.6.1 depends on six>=1.9 python-dateutil 2.7.5 depends on six>=1.5 tensorboard 1.8.0 depends on six>=1.10.0 theano 1.0.3 depends on six>=1.9.0 tensorflow 2.6.1 depends on six~=1.15.0 The user requested six==1.12.0 absl-py 0.6.0 depends on six bleach 1.5.0 depends on six cycler 0.10.0 depends on six grpcio 1.17.0 depends on six>=1.5.2 h5py 2.8.0 depends on six html5lib 0.9999999 depends on six keras 2.0.5 depends on six protobuf 3.6.1 depends on six>=1.9 python-dateutil 2.7.5 depends on six>=1.5 tensorboard 1.8.0 depends on six>=1.10.0 theano 1.0.3 depends on six>=1.9.0 tensorflow 2.6.0 depends on six~=1.15.0 The user requested six==1.12.0 absl-py 0.6.0 depends on six bleach 1.5.0 depends on six cycler 0.10.0 depends on six grpcio 1.17.0 depends on six>=1.5.2 h5py 2.8.0 depends on six html5lib 0.9999999 depends on six keras 2.0.5 depends on six protobuf 3.6.1 depends on six>=1.9 python-dateutil 2.7.5 depends on six>=1.5 tensorboard 1.8.0 depends on six>=1.10.0 theano 1.0.3 depends on six>=1.9.0 tensorflow 2.5.2 depends on six~=1.15.0 The user requested six==1.12.0 absl-py 0.6.0 depends on six bleach 1.5.0 depends on six cycler 0.10.0 depends on six grpcio 1.17.0 depends on six>=1.5.2 h5py 2.8.0 depends on six html5lib 0.9999999 depends on six keras 2.0.5 depends on six protobuf 3.6.1 depends on six>=1.9 python-dateutil 2.7.5 depends on six>=1.5 tensorboard 1.8.0 depends on six>=1.10.0 theano 1.0.3 depends on six>=1.9.0 tensorflow 2.5.1 depends on six~=1.15.0 The user requested six==1.12.0 absl-py 0.6.0 depends on six bleach 1.5.0 depends on six cycler 0.10.0 depends on six grpcio 1.17.0 depends on six>=1.5.2 h5py 2.8.0 depends on six html5lib 0.9999999 depends on six keras 2.0.5 depends on six protobuf 3.6.1 depends on six>=1.9 python-dateutil 2.7.5 depends on six>=1.5 tensorboard 1.8.0 depends on six>=1.10.0 theano 1.0.3 depends on six>=1.9.0 tensorflow 2.5.0 depends on six~=1.15.0 The user requested six==1.12.0 absl-py 0.6.0 depends on six bleach 1.5.0 depends on six cycler 0.10.0 depends on six grpcio 1.17.0 depends on six>=1.5.2 h5py 2.8.0 depends on six html5lib 0.9999999 depends on six keras 2.0.5 depends on six protobuf 3.6.1 depends on six>=1.9 python-dateutil 2.7.5 depends on six>=1.5 tensorboard 1.8.0 depends on six>=1.10.0 theano 1.0.3 depends on six>=1.9.0 tensorflow 2.4.4 depends on six~=1.15.0 The user requested six==1.12.0 absl-py 0.6.0 depends on six bleach 1.5.0 depends on six cycler 0.10.0 depends on six grpcio 1.17.0 depends on six>=1.5.2 h5py 2.8.0 depends on six html5lib 0.9999999 depends on six keras 2.0.5 depends on six protobuf 3.6.1 depends on six>=1.9 python-dateutil 2.7.5 depends on six>=1.5 tensorboard 1.8.0 depends on six>=1.10.0 theano 1.0.3 depends on six>=1.9.0 tensorflow 2.4.3 depends on six~=1.15.0 The user requested six==1.12.0 absl-py 0.6.0 depends on six bleach 1.5.0 depends on six cycler 0.10.0 depends on six grpcio 1.17.0 depends on six>=1.5.2 h5py 2.8.0 depends on six html5lib 0.9999999 depends on six keras 2.0.5 depends on six protobuf 3.6.1 depends on six>=1.9 python-dateutil 2.7.5 depends on six>=1.5 tensorboard 1.8.0 depends on six>=1.10.0 theano 1.0.3 depends on six>=1.9.0 tensorflow 2.4.2 depends on six~=1.15.0 The user requested six==1.12.0 absl-py 0.6.0 depends on six bleach 1.5.0 depends on six cycler 0.10.0 depends on six grpcio 1.17.0 depends on six>=1.5.2 h5py 2.8.0 depends on six html5lib 0.9999999 depends on six keras 2.0.5 depends on six protobuf 3.6.1 depends on six>=1.9 python-dateutil 2.7.5 depends on six>=1.5 tensorboard 1.8.0 depends on six>=1.10.0 theano 1.0.3 depends on six>=1.9.0 tensorflow 2.4.1 depends on six~=1.15.0 The user requested six==1.12.0 absl-py 0.6.0 depends on six bleach 1.5.0 depends on six cycler 0.10.0 depends on six grpcio 1.17.0 depends on six>=1.5.2 h5py 2.8.0 depends on six html5lib 0.9999999 depends on six keras 2.0.5 depends on six protobuf 3.6.1 depends on six>=1.9 python-dateutil 2.7.5 depends on six>=1.5 tensorboard 1.8.0 depends on six>=1.10.0 theano 1.0.3 depends on six>=1.9.0 tensorflow 2.4.0 depends on six~=1.15.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.3.4 depends on numpy<1.19.0 and >=1.16.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.3.3 depends on numpy<1.19.0 and >=1.16.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.3.2 depends on numpy<1.19.0 and >=1.16.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.3.1 depends on numpy<1.19.0 and >=1.16.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.3.0 depends on numpy<1.19.0 and >=1.16.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.2.3 depends on numpy<1.19.0 and >=1.16.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.2.2 depends on numpy<1.19.0 and >=1.16.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.2.1 depends on numpy<1.19.0 and >=1.16.0 The user requested tensorboard==1.8.0 tensorflow 2.2.0 depends on tensorboard<2.3.0 and >=2.2.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.1.4 depends on numpy<1.19.0 and >=1.16.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.1.3 depends on numpy<1.19.0 and >=1.16.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.1.2 depends on numpy<1.19.0 and >=1.16.0 The user requested scipy==1.1.0 theano 1.0.3 depends on scipy>=0.14 tensorflow 2.1.1 depends on scipy==1.4.1; python_version >= "3" The user requested scipy==1.1.0 theano 1.0.3 depends on scipy>=0.14 tensorflow 2.1.0 depends on scipy==1.4.1; python_version >= "3" The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.0.4 depends on numpy<1.19.0 and >=1.16.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 2.0.3 depends on numpy<1.19.0 and >=1.16.0 The user requested tensorboard==1.8.0 tensorflow 2.0.2 depends on tensorboard<2.1.0 and >=2.0.0 The user requested tensorboard==1.8.0 tensorflow 2.0.1 depends on tensorboard<2.1.0 and >=2.0.0 The user requested tensorboard==1.8.0 tensorflow 2.0.0 depends on tensorboard<2.1.0 and >=2.0.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 1.15.5 depends on numpy<1.19.0 and >=1.16.0 The user requested numpy==1.15.4 h5py 2.8.0 depends on numpy>=1.7 matplotlib 3.0.2 depends on numpy>=1.10.0 scipy 1.1.0 depends on numpy>=1.8.2 tensorboard 1.8.0 depends on numpy>=1.12.0 theano 1.0.3 depends on numpy>=1.9.1 tensorflow 1.15.4 depends on numpy<1.19.0 and >=1.16.0 The user requested gast==0.2.0 tensorflow 1.15.3 depends on gast==0.2.2 The user requested gast==0.2.0 tensorflow 1.15.2 depends on gast==0.2.2 The user requested gast==0.2.0 tensorflow 1.15.0 depends on gast==0.2.2 The user requested tensorboard==1.8.0 tensorflow 1.14.0 depends on tensorboard<1.15.0 and >=1.14.0 The user requested tensorboard==1.8.0 tensorflow 1.13.2 depends on tensorboard<1.14.0 and >=1.13.0 The user requested tensorboard==1.8.0 tensorflow 1.13.1 depends on tensorboard<1.14.0 and >=1.13.0 The user requested tensorboard==1.8.0 tensorflow 1.12.3 depends on tensorboard<1.13.0 and >=1.12.0 The user requested tensorboard==1.8.0 tensorflow 1.12.2 depends on tensorboard<1.13.0 and >=1.12.0

To fix this you could try to:

loosen the range of package versions you've specified
remove package versions to allow pip attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies

ruizewang / CBIR-CNN

Installation issue - INFO: pip is looking at multiple versions of pyyaml to determine which version is compatible with other requirements. #2