{"cells":[{"metadata":{},"cell_type":"markdown","source":"## Tensorflow 2.2\nNot sure if there was an easier way to do this or if the 2.2 packages are already installed on a kernel someplace, but this dataset installs the packages required to run tensorflow 2.2. I needed to run 2.2 because I was training on a tpu with a keras based model and couldn't save the model with 2.1 to get it into kaggle."},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"!pip install /kaggle/input/tf-nightly-220-dev20200311/h5py-2.10.0-cp36-cp36m-manylinux1_x86_64.whl\n!pip uninstall tensorflow -y\n!pip uninstall tensorboard -y\n!pip install /kaggle/input/tf-nightly-220-dev20200311/gast-0.3.3-py2.py3-none-any.whl\n!pip install /kaggle/input/tf-nightly-220-dev20200311/tf_estimator_nightly-2.1.0.dev2020031101-py2.py3-none-any.whl\n!pip install /kaggle/input/tf-nightly-220-dev20200311/tensorboard_plugin_wit-1.6.0.post2-py3-none-any.whl\n!pip install /kaggle/input/tf-nightly-220-dev20200311/gviz_api-1.9.0-py2.py3-none-any.whl\n!pip install /kaggle/input/tf-nightly-220-dev20200311/tb_nightly-2.2.0a20200310-py3-none-any.whl\n!pip install /kaggle/input/tf-nightly-220-dev20200311/scipy-1.4.1-cp36-cp36m-manylinux1_x86_64.whl\n!pip install /kaggle/input/tf-nightly-220-dev20200311/astunparse-1.6.3-py2.py3-none-any.whl\n!pip install /kaggle/input/tf-nightly-220-dev20200311/tf_nightly-2.2.0.dev20200311-cp36-cp36m-manylinux2010_x86_64.whl","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"import tensorflow as tf\nprint(tf.version.VERSION)","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}