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Results 1 - 7 of 7 for mangen (0.13 sec)

  1. src/main/webapp/css/admin/adminlte.min.css

    ;order:11}.order-sm-12{-ms-flex-order:12;order:12}.offset-sm-0{margin-left:0}.offset-sm-1{margin-left:8.333333%}.offset-sm-2{margin-left:16.666667%}.offset-sm-3{margin-left:25%}.offset-sm-4{margin-left:33.333333%}.offset-sm-5{margin-left:41.666667%}.offset-sm-6{margin-left:50%}.offset-sm-7{margin-left:58.333333%}.offset-sm-8{margin-left:66.666667%}.offset-sm-9{margin-left:75%}.offset-sm-10{margin-left:83.333333%}.offset-sm-11{margin-left:91.666667%}}@media (min-width:768px){.col-md{-ms-flex-pref...
    Registered: Wed Jun 12 13:08:18 UTC 2024
    - Last Modified: Fri Feb 07 10:28:50 UTC 2020
    - 641.1K bytes
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  2. src/main/webapp/css/admin/bootstrap.min.css.map

    -ms-flex-order: 12;\n  order: 12;\n}\n\n.offset-1 {\n  margin-left: 8.333333%;\n}\n\n.offset-2 {\n  margin-left: 16.666667%;\n}\n\n.offset-3 {\n  margin-left: 25%;\n}\n\n.offset-4 {\n  margin-left: 33.333333%;\n}\n\n.offset-5 {\n  margin-left: 41.666667%;\n}\n\n.offset-6 {\n  margin-left: 50%;\n}\n\n.offset-7 {\n  margin-left: 58.333333%;\n}\n\n.offset-8 {\n  margin-left: 66.666667%;\n}\n\n.offset-9 {\n  margin-left: 75%;\n}\n\n.offset-10 {\n  margin-left: 83.333333%;\n}\n\n.offset-11 {\n  margin-left:...
    Registered: Wed Jun 12 13:08:18 UTC 2024
    - Last Modified: Fri Feb 07 10:28:50 UTC 2020
    - 626.8K bytes
    - Viewed (0)
  3. src/main/webapp/css/bootstrap.min.css.map

    -ms-flex-order: 12;\n  order: 12;\n}\n\n.offset-1 {\n  margin-left: 8.333333%;\n}\n\n.offset-2 {\n  margin-left: 16.666667%;\n}\n\n.offset-3 {\n  margin-left: 25%;\n}\n\n.offset-4 {\n  margin-left: 33.333333%;\n}\n\n.offset-5 {\n  margin-left: 41.666667%;\n}\n\n.offset-6 {\n  margin-left: 50%;\n}\n\n.offset-7 {\n  margin-left: 58.333333%;\n}\n\n.offset-8 {\n  margin-left: 66.666667%;\n}\n\n.offset-9 {\n  margin-left: 75%;\n}\n\n.offset-10 {\n  margin-left: 83.333333%;\n}\n\n.offset-11 {\n  margin-left:...
    Registered: Wed Jun 12 13:08:18 UTC 2024
    - Last Modified: Thu Feb 13 04:21:06 UTC 2020
    - 626.8K bytes
    - Viewed (0)
  4. api/openapi-spec/v3/apis__apps__v1_openapi.json

              },
              "kind": {
                "description": "kind expected values are Shared: multiple blob disks per storage account  Dedicated: single blob disk per storage account  Managed: azure managed data disk (only in managed availability set). defaults to shared",
                "type": "string"
              },
              "readOnly": {
    Registered: Sat Jun 15 01:39:40 UTC 2024
    - Last Modified: Wed May 29 22:40:29 UTC 2024
    - 810.7K bytes
    - Viewed (0)
  5. RELEASE.md

        *   Experimental support for lowering `list_ops.tensor_list_set_item` with
            `DynamicUpdateSlice`.
        *   Enabled a new MLIR-based dynamic range quantization backend by default
            *   The new backend is used for post-training int8 dynamic range
                quantization and post-training float16 quantization.
            *   Set `experimental_new_dynamic_range_quantizer` in
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 730.3K bytes
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  6. operator/cmd/mesh/testdata/manifest-generate/output/all_on.golden-show-in-gh-pull-request.yaml

                - name: ISTIO_META_POD_PORTS
                  value: |-
                    [
                    {{- $first := true }}
                    {{- range $index1, $c := .Spec.Containers }}
                      {{- range $index2, $p := $c.Ports }}
                        {{- if (structToJSON $p) }}
                        {{if not $first}},{{end}}{{ structToJSON $p }}
                        {{- $first = false }}
    Registered: Fri Jun 14 15:00:06 UTC 2024
    - Last Modified: Wed Jan 10 05:10:03 UTC 2024
    - 506.8K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

      let summary = "Computes inverse hyperbolic tangent of x element-wise.";
    
      let description = [{
    Given an input tensor, this function computes inverse hyperbolic tangent
      for every element in the tensor. Input range is `[-1,1]` and output range is
      `[-inf, inf]`. If input is `-1`, output will be `-inf` and if the
      input is `1`, output will be `inf`. Values outside the range will have
      `nan` as output.
    
      ```python
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 793K bytes
    - Viewed (0)
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