emoji_generator: !!python/name:materialx.emoji.to_svg
  - pymdownx.inlinehilite
  - pymdownx.magiclink
  - pymdownx.smartsymbols
  - pymdownx.superfences
  - pymdownx.tilde
  - pymdownx.tabbed:
      alternate_style: true
  - tables

plugins:
  - search
  - redirects:
      redirect_maps:
        # Redirect all feature pages to features/*

/**
 * {@link String}用の変換ユーティリティです。
 *
 * @author higa
 */
public abstract class StringConversionUtil {

    /** WAVE DASH */
    public static final char WAVE_DASH = '\u301C';

    /** FULLWIDTH TILDE */
    public static final char FULLWIDTH_TILDE = '\uFF5E';

    /** DOUBLE VERTICAL LINE */
    public static final char DOUBLE_VERTICAL_LINE = '\u2016';

    /** PARALLEL TO */

  pymdownx.superfences:
    custom_fences:
    - name: mermaid
      class: mermaid
      format: !!python/name:pymdownx.superfences.fence_code_format ''
  pymdownx.tabbed:
    alternate_style: true
  pymdownx.tilde: null
  attr_list: null
  md_in_html: null
extra:
  analytics:
    provider: google
    property: G-YNEVN69SC3
  social:
  - icon: fontawesome/brands/github-alt

		// parameters.
		reportReason := len(m.seen) == 1

		for _, term := range terms {
			if !m.match(term.Type(), topLevel) {
				if reportReason {
					if term.Tilde() {
						m.reason = fmt.Sprintf("contains ~%s", term.Type())
					} else {
						m.reason = fmt.Sprintf("contains %s", term.Type())
					}
				}
				return false
			}
		}
		return true
	}

    const tpu::TPUCompileMetadataProto& metadata);

// Gets the proper tensor dimension from XLA OpSharding.
// "replicate_on_last_tile_dim" and "last_tile_dims" should be deducted from the
// real Tensor dimensions when tiled.
// For example:
// f32[8,512](sharding={devices=[1,1,2]0,1 last_tile_dims={REPLICATED})
// also means a replicated tensor over all devices.
//
// See xla_data.proto for detailed explanations on the fields.

  %multiples = "tf.Const"() { device = "/device:CPU:0", value = dense<[7,3]> : tensor<2xi32> } : () -> tensor<2xi32>
  // CHECK: T = !corert.string
  %output = "tf.Tile"(%arg, %multiples) { device = "/device:CPU:0" } : (tensor<1x2x!tf_type.string>, tensor<2xi32>) -> tensor<?x6x!tf_type.string>
  func.return %output : tensor<?x6x!tf_type.string>
}

// CHECK-LABEL: func @shape