*   `tf.debugging`
    *   Add `tf.debugging.enable_check_numerics()` and
        `tf.debugging.disable_check_numerics()` to help debugging the root
        causes of issues involving infinities and `NaN`s.
*   `tf.distribute`
    *   Custom training loop support on TPUs and TPU pods is available through
        `strategy.experimental_distribute_dataset`,

transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-size: 1rem 1rem;\n}\n\n.progress-bar-animated {\n  -webkit-animation: 1s linear infinite progress-bar-stripes;\n  animation: 1s linear infinite progress-bar-stripes;\n}\n\n@media (prefers-reduced-motion: reduce) {\n  .progress-bar-animated {\n    -webkit-animation: none;\n    animation: none;\n  }\n}\n\n.media {\n  display: -ms-flexbox;\n  display: flex;\n  -ms-flex-align:...

.placeholder {\n  animation: placeholder-glow 2s ease-in-out infinite;\n}\n\n@keyframes placeholder-glow {\n  50% {\n    opacity: 0.2;\n  }\n}\n.placeholder-wave {\n  -webkit-mask-image: linear-gradient(130deg, #000 55%, rgba(0, 0, 0, 0.8) 75%, #000 95%);\n  mask-image: linear-gradient(130deg, #000 55%, rgba(0, 0, 0, 0.8) 75%, #000 95%);\n  -webkit-mask-size: 200% 100%;\n  mask-size: 200% 100%;\n  animation: placeholder-wave 2s linear infinite;\n}\n\n@keyframes placeholder-wave {\n  100% {\n    -webkit-mask-position:...

### Storage capacity tracking