dimension if necessary. Use this mode on rank 1 inputs for the old
            `"binary"` behavior of one-hot encoding a batch of scalars.
        *   `Normalization` will no longer automatically uprank rank 1 inputs,
            allowing normalization of unbatched multi-dimensional samples.

*   `tf.lite`:

    *   The recommended Android NDK version for building TensorFlow Lite has

--font-family-sans-serif: #{inspect($font-family-sans-serif)};\n  --font-family-monospace: #{inspect($font-family-monospace)};\n}\n","// stylelint-disable declaration-no-important, selector-no-qualifying-type, property-no-vendor-prefix\n\n// Reboot\n//\n// Normalization of HTML elements, manually forked from Normalize.css to remove\n// styles targeting irrelevant browsers while applying new styles.\n//\n// Normalize is licensed MIT. https://github.com/necolas/normalize.css\n\n\n// Document\n//\n// 1. Change from...

#{inspect($font-family-sans-serif)};\n  --font-family-monospace: #{inspect($font-family-monospace)};\n}\n","// stylelint-disable at-rule-no-vendor-prefix, declaration-no-important, selector-no-qualifying-type, property-no-vendor-prefix\n\n// Reboot\n//\n// Normalization of HTML elements, manually forked from Normalize.css to remove\n// styles targeting irrelevant browsers while applying new styles.\n//\n// Normalize is licensed MIT. https://github.com/necolas/normalize.css\n\n\n// Document\n//\n// 1. Change from...