var tiles []Tile

	// Plan to fetch tiles necessary to recompute tree hash.
	// If it matches, those tiles are authenticated.
	stx := subTreeIndex(0, r.tree.N, nil)
	stxTileOrder := make([]int, len(stx))
	for i, x := range stx {
		tile, _, _ := tileForIndex(h, x)
		tile = tileParent(tile, 0, r.tree.N)
		if j, ok := tileOrder[tile]; ok {
			stxTileOrder[i] = j
			continue
		}

func (r *tileReader) SaveTiles(tiles []tlog.Tile, data [][]byte) {
	c := r.c

	// Determine which tiles need saving.
	// (Tiles that came from the cache need not be saved back.)
	save := make([]bool, len(tiles))
	c.tileSavedMu.Lock()
	for i, tile := range tiles {
		if !c.tileSaved[tile] {
			save[i] = true
			c.tileSaved[tile] = true
		}
	}
	c.tileSavedMu.Unlock()

  }

  return builder->create<mlir::TF::ConcatOp>(
      location, output_type, concat_dimension_op.getOutput(), inputs);
}

// For tile sharded inputs to TPU computation, inject split op between the
// input values and TPU computation so that tiled input values are passed in
// as inputs to TPU computations. If more than one dimension is sharded, then

  %2 = "tf.ExpandDims"(%1, %const_0) : (tensor<10000xi32>, tensor<i32>) -> tensor<1x10000xi32>
  %3 = "tf.Tile"(%2, %const_64_1) : (tensor<1x10000xi32>, tensor<2xi32>) -> tensor<64x10000xi32>
  // CHECK-NOT: tf.Range
  // CHECK-NOT: tf.ExpandDims
  // CHECK: [[TILE:%.*]] = "tf.Tile"
  // CHECK: return [[TILE]]
  func.return %3 : tensor<64x10000xi32>
}

// license that can be found in the LICENSE file.

// Package cpu implements processor feature detection for
// various CPU architectures.
package cpu

import (
	"os"
	"strings"
)

// Initialized reports whether the CPU features were initialized.
//
// For some GOOS/GOARCH combinations initialization of the CPU features depends
// on reading an operating specific file, e.g. /proc/self/auxv on linux/arm

	return time.Parse(time.RFC3339, version)
}

// releaseTimeToReleaseTag - converts a time to a string formatted as
// an official MinIO release tag.
//
// An official minio release tag looks like:
// `RELEASE.2017-09-29T19-16-56Z`
func releaseTimeToReleaseTag(releaseTime time.Time) string {
	return "RELEASE." + releaseTime.Format(MinioReleaseTagTimeLayout)
}

    const int64_t tensor_rank = ranked_type.getRank();
    int tile_assignment_rank = sharding->tile_assignment_dimensions_size();

    // When a tensor is partial or subgroup tiled, its tile assignment will
    // have one or more dimension(s) than its rank; so, we subtract them to
    // determine which rank the sharding is compatible with.
    tile_assignment_rank -= (int)sharding->replicate_on_last_tile_dim();

  LESS = 58,
  NEG = 59,
  PADV2 = 60,
  GREATER = 61,
  GREATER_EQUAL = 62,
  LESS_EQUAL = 63,
  SELECT = 64,
  SLICE = 65,
  SIN = 66,
  TRANSPOSE_CONV = 67,
  SPARSE_TO_DENSE = 68,
  TILE = 69,
  EXPAND_DIMS = 70,
  EQUAL = 71,
  NOT_EQUAL = 72,
  LOG = 73,
  SUM = 74,
  SQRT = 75,
  RSQRT = 76,
  SHAPE = 77,
  POW = 78,
  ARG_MIN = 79,
  FAKE_QUANT = 80,

  LESS = 58,
  NEG = 59,
  PADV2 = 60,
  GREATER = 61,
  GREATER_EQUAL = 62,
  LESS_EQUAL = 63,
  SELECT = 64,
  SLICE = 65,
  SIN = 66,
  TRANSPOSE_CONV = 67,
  SPARSE_TO_DENSE = 68,
  TILE = 69,
  EXPAND_DIMS = 70,
  EQUAL = 71,
  NOT_EQUAL = 72,
  LOG = 73,
  SUM = 74,
  SQRT = 75,
  RSQRT = 76,
  SHAPE = 77,
  POW = 78,
  ARG_MIN = 79,
  FAKE_QUANT = 80,

	Library string
}

// FileHeader holds information about an XCOFF file header.
type FileHeader struct {
	TargetMachine uint16
}

// A File represents an open XCOFF file.
type File struct {
	FileHeader
	Sections     []*Section
	Symbols      []*Symbol
	StringTable  []byte
	LibraryPaths []string

	closer io.Closer
}

// Open opens the named file using os.Open and prepares it for use as an XCOFF binary.