"in": "query",
            "name": "limit",

          "in": "query",
          "name": "limit",

dimension are moved in spatial blocks to the `height` and `width` dimensions.
The attr `block_size` indicates the input block size and how the data is moved.

  * Chunks of data of size `block_size * block_size` from depth are rearranged
    into non-overlapping blocks of size `block_size x block_size`
  * The width of the output tensor is `input_depth * block_size`, whereas the

        previous gradient implementation.
    *   Added a new session config setting `internal_fragmentation_fraction`,
        which controls when the BFC Allocator needs to split an oversized chunk
        to satisfy an allocation request.
    *   Added `tf.get_current_name_scope()` which returns the current full name
        scope string that will be prepended to op names.
*   `tf.data`: