!important;\n    display: inline-flex !important;\n  }\n}\n\n@media print {\n  .d-print-none {\n    display: none !important;\n  }\n  .d-print-inline {\n    display: inline !important;\n  }\n  .d-print-inline-block {\n    display: inline-block !important;\n  }\n  .d-print-block {\n    display: block !important;\n  }\n  .d-print-table {\n    display: table !important;\n  }\n  .d-print-table-row {\n    display: table-row !important;\n  }\n  .d-print-table-cell {\n    display: table-cell !important;\n  }\n  .d-print-flex...

    }
  }];
}

def TF_PrintOp : TF_Op<"Print", []> {
  let summary = "Prints a list of tensors.";

  let description = [{
Passes `input` through to `output` and prints `data` when evaluating.
  }];

  let arguments = (ins
    Arg<TF_Tensor, [{The tensor passed to `output`}]>:$input,
    Arg<Variadic<TF_Tensor>, [{A list of tensors to print out when op is evaluated.}]>:$data,

!important;\n    display: inline-flex !important;\n  }\n}\n\n@media print {\n  .d-print-none {\n    display: none !important;\n  }\n  .d-print-inline {\n    display: inline !important;\n  }\n  .d-print-inline-block {\n    display: inline-block !important;\n  }\n  .d-print-block {\n    display: block !important;\n  }\n  .d-print-table {\n    display: table !important;\n  }\n  .d-print-table-row {\n    display: table-row !important;\n  }\n  .d-print-table-cell {\n    display: table-cell !important;\n  }\n  .d-print-flex...

		{"Parser.Words", Field, 19},
		{"Plain", Type, 19},
		{"Printer", Type, 19},
		{"Printer.DocLinkBaseURL", Field, 19},
		{"Printer.DocLinkURL", Field, 19},
		{"Printer.HeadingID", Field, 19},
		{"Printer.HeadingLevel", Field, 19},
		{"Printer.TextCodePrefix", Field, 19},
		{"Printer.TextPrefix", Field, 19},
		{"Printer.TextWidth", Field, 19},
		{"Text", Type, 19},
	},
	"go/format": {

-flexbox!important;display:inline-flex!important}}@media print{.d-print-none{display:none!important}.d-print-inline{display:inline!important}.d-print-inline-block{display:inline-block!important}.d-print-block{display:block!important}.d-print-table{display:table!important}.d-print-table-row{display:table-row!important}.d-print-table-cell{display:table-cell!important}.d-print-flex{display:-ms-flexbox!important;display:flex!important}.d-print-inline-flex{display:-ms-inline-flexbox!important;display...

        the environment variable `TF_DETERMINISTIC_OPS` to `"true"` or `"1"`.
*   `tf.print`:
    *   Bug fix in `tf.print()` with `OrderedDict` where if an `OrderedDict`
        didn't have the keys sorted, the keys and values were not being printed
        in accordance with their correct mapping.
*   `tf.train.Checkpoint`:

            secret:
              optional: true
              {{ if eq .Spec.ServiceAccountName "" }}
              secretName: istio.default
              {{ else -}}
              secretName: {{  printf "istio.%s" .Spec.ServiceAccountName }}
              {{  end -}}
          {{- end }}
            {{- if isset .ObjectMeta.Annotations `sidecar.istio.io/userVolume` }}

05B0..05B9    ; valid                                  # 1.1  HEBREW POINT SHEVA..HEBREW POINT HOLAM
05BA          ; valid                                  # 5.0  HEBREW POINT HOLAM HASER FOR VAV
05BB..05BD    ; valid                                  # 1.1  HEBREW POINT QUBUTS..HEBREW POINT METEG
05BE          ; valid                  ;      ; NV8    # 1.1  HEBREW PUNCTUATION MAQAF

- Detailed scheduler scoring result can be printed at verbose level 10. ([#89384](https://github.com/kubernetes/kubernetes/pull/89384), [@Huang-Wei](https://github.com/Huang-Wei)) [SIG Scheduling]

possible.\n\nThe sign will be omitted unless the number is negative.\n\nExamples:\n\n- 1.5 will be serialized as \"1500m\" - 1.5Gi will be serialized as \"1536Mi\"\n\nNote that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.\n\nNon-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)\n\nThis format is intended to make it difficult...