* `FreeBufferHandle`

* `tf.train.CheckpointOptions` and `tf.saved_model.SaveOptions`
    * These now take in a new argument called `experimental_sharding_callback`.
      This is a callback function wrapper that will be executed to determine how
      tensors will be split into shards when the saver writes the checkpoint
      shards to disk. `tf.train.experimental.ShardByTaskPolicy` is the default

}\n}\n\n.collapsing {\n  position: relative;\n  height: 0;\n  overflow: hidden;\n  @include transition($transition-collapse);\n\n  &.width {\n    width: 0;\n    height: auto;\n    @include transition($transition-collapse-width);\n  }\n}\n","// The dropdown wrapper (`<div>`)\n.dropup,\n.dropright,\n.dropdown,\n.dropleft {\n  position: relative;\n}\n\n.dropdown-toggle {\n  white-space: nowrap;\n\n  // Generate the caret automatically\n  @include caret();\n}\n\n// The dropdown menu\n.dropdown-menu {\n  position:...

 &:not(.show) {\n    opacity: 0;\n  }\n}\n\n.collapse {\n  &:not(.show) {\n    display: none;\n  }\n}\n\n.collapsing {\n  position: relative;\n  height: 0;\n  overflow: hidden;\n  @include transition($transition-collapse);\n}\n","// The dropdown wrapper (`<div>`)\n.dropup,\n.dropright,\n.dropdown,\n.dropleft {\n  position: relative;\n}\n\n.dropdown-toggle {\n  white-space: nowrap;\n\n  // Generate the caret automatically\n  @include caret();\n}\n\n// The dropdown menu\n.dropdown-menu {\n  position:...