common:elinux_armhf --copt -mfp16-format=ieee

# Config-specific options should come above this line.

# Load rc file written by ./configure.
try-import %workspace%/.tf_configure.bazelrc

# Load rc file with user-specific options.
try-import %workspace%/.bazelrc.user

# Here are bazelrc configs for release builds
# Build TensorFlow v2.
test:release_base --test_size_filters=small,medium

    which case remember to change the directory from `/root` to `/tensorflow`
    once you get into the running container so `bazel` can find the `tensorflow`
    workspace).

    you can do this by using the following command. As an example-

    ```bash
    docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10
    ```

application/vnd.ms-excel=excel\n\
application/vnd.ms-excel.sheet.2=excel\n\
application/vnd.ms-excel.sheet.3=excel\n\
application/vnd.ms-excel.sheet.4=excel\n\
application/vnd.ms-excel.workspace.3=excel\n\
application/vnd.ms-excel.workspace.4=excel\n\
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet=excel\n\
application/vnd.ms-powerpoint=powerpoint\n\

     * application/vnd.ms-excel.sheet.2=excel<br>
     * application/vnd.ms-excel.sheet.3=excel<br>
     * application/vnd.ms-excel.sheet.4=excel<br>
     * application/vnd.ms-excel.workspace.3=excel<br>
     * application/vnd.ms-excel.workspace.4=excel<br>
     * application/vnd.openxmlformats-officedocument.spreadsheetml.sheet=excel<br>
     * application/vnd.ms-powerpoint=powerpoint<br>

      </match>
    </magic>
    <sub-class-of type="application/x-tika-old-excel"/>
  </mime-type>
  <mime-type type="application/vnd.ms-excel.workspace.4">
    <_comment>Microsoft Excel 4 Workspace</_comment>
    <magic priority="60">
      <match value="0x09040600" type="string" offset="0">
        <match value="0x00000001" type="string" offset="4"/>
      </match>
    </magic>

ltd.ua

// 611 blockchain domain name system : https://611project.net/
611.to

// A2 Hosting
// Submitted by Tyler Hall <******@****.***>
a2hosted.com
cpserver.com

// AAA workspace : https://aaa.vodka
// Submitted by Kirill Rezraf <******@****.***>
aaa.vodka

// Acorn Labs : https://acorn.io
// Submitted by Craig Jellick <******@****.***>
*.on-acorn.io

### `tf.keras`:

*   Improvements from the Functional API refactoring:
    *   Functional model construction does not need to maintain a global
        workspace graph, removing memory leaks especially when building many
        models or very large models.
    *   Functional model construction should be ~8-10% faster on average.