grid of blocks of shape `block_shape`, and interleaves these blocks with the
"batch" dimension (0) such that in the output, the spatial dimensions
`[1, ..., M]` correspond to the position within the grid, and the batch
dimension combines both the position within a spatial block and the original
batch position.  Prior to division into blocks, the spatial dimensions of the

          },
          "configMap": {
            "allOf": [

settable by a client. The resource is expected to be deleted (no longer visible from resource lists, and not reachable by name) after the time in this field, once the finalizers list is empty. As long as the finalizers list contains items, deletion is blocked. Once the deletionTimestamp is set, this value may not be unset or be set further into the future, although it may be shortened or the resource may be deleted prior to this time. For example, a user may request that a pod is deleted in 30 seconds....

		v.copyOf(x)
		return true
	}
	return false
}
func rewriteBlockgeneric(b *Block) bool {
	switch b.Kind {
	case BlockIf:
		// match: (If (Not cond) yes no)
		// result: (If cond no yes)
		for b.Controls[0].Op == OpNot {
			v_0 := b.Controls[0]
			cond := v_0.Args[0]
			b.resetWithControl(BlockIf, cond)
			b.swapSuccessors()
			return true
		}

	// cond: a.Block.Func.useFMA(v)
	// result: (FNMSUBD a x y)
	for {
		if v_0.Op != OpARM64FMULD {
			break
		}
		y := v_0.Args[1]
		x := v_0.Args[0]
		a := v_1
		if !(a.Block.Func.useFMA(v)) {
			break
		}
		v.reset(OpARM64FNMSUBD)
		v.AddArg3(a, x, y)
		return true
	}
	// match: (FSUBD a (FNMULD x y))
	// cond: a.Block.Func.useFMA(v)

*   Adds `Dataset.interleave` transformation.
*   Add `ConcatenateDataset` to concatenate two datasets.
*   Added Mobilenet support to TensorFlow for Poets training script.
*   Adds a block cache to the GCS filesystem with configurable block size and
    count.
*   SinhArcSinh bijector added.
*   Added `Dataset.list_files` API.
*   Introduces new operations and Python bindings for the Cloud TPU.