// sparseValues: 1418 entries, 5672 bytes
var sparseValues = [1418]valueRange{
	// Block 0x0, offset 0x0
	{value: 0x0004, lo: 0xa8, hi: 0xa8},
	{value: 0x0012, lo: 0xaa, hi: 0xaa},
	{value: 0x0014, lo: 0xad, hi: 0xad},

// sparseValues: 1451 entries, 5804 bytes
var sparseValues = [1451]valueRange{
	// Block 0x0, offset 0x0
	{value: 0x0004, lo: 0xa8, hi: 0xa8},
	{value: 0x0012, lo: 0xaa, hi: 0xaa},
	{value: 0x0014, lo: 0xad, hi: 0xad},

// sparseValues: 1562 entries, 6248 bytes
var sparseValues = [1562]valueRange{
	// Block 0x0, offset 0x0
	{value: 0x0004, lo: 0xa8, hi: 0xa8},
	{value: 0x0012, lo: 0xaa, hi: 0xaa},
	{value: 0x0014, lo: 0xad, hi: 0xad},

    *   `LinearOperator.matmul` now returns a new `LinearOperator`.
*   New ops and improved op functionality
    *   Add a Nearest Neighbor Resize op.
    *   Add an `ignore_unknown` argument to `parse_values` which suppresses
        ValueError for unknown hyperparameter types. Such * Add
        `tf.linalg.matvec` convenience function.
    *   `tf.einsum()`raises `ValueError` for unsupported equations like