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Results 1 - 7 of 7 for keepTime (0.09 sec)

  2. github.com/minio/minio

    docs/metrics/prometheus/grafana/node/minio-node.json 

      "editable": true,
  "fiscalYearStartMonth": 0,
  "gnetId": 15306,
  "graphTooltip": 0,
  "id": 267,
  "links": [
    {
      "icon": "external link",
      "includeVars": true,
      "keepTime": true,
      "tags": [
        "minio"
      ],
      "type": "dashboards"
    }
  ],
  "liveNow": false,
  "panels": [
    {
      "datasource": {
        "type": "prometheus",
    Registered: Sun Nov 03 19:28:11 UTC 2024
    - Last Modified: Tue Jun 04 13:24:37 UTC 2024
    - 22.4K bytes
    - Viewed (0)
  3. github.com/minio/minio

    docs/metrics/prometheus/grafana/minio-dashboard.json 

      "editable": true,
  "fiscalYearStartMonth": 0,
  "gnetId": 13502,
  "graphTooltip": 0,
  "id": 292,
  "links": [
    {
      "icon": "external link",
      "includeVars": true,
      "keepTime": true,
      "tags": [
        "minio"
      ],
      "type": "dashboards"
    }
  ],
  "liveNow": false,
  "panels": [
    {
      "datasource": {
        "type": "prometheus",
    Registered: Sun Nov 03 19:28:11 UTC 2024
    - Last Modified: Wed Jul 24 14:51:03 UTC 2024
    - 93K bytes
    - Viewed (0)
  4. github.com/minio/minio

    docs/metrics/prometheus/grafana/replication/minio-replication-node.json 

      "editable": true,
  "fiscalYearStartMonth": 0,
  "gnetId": 15306,
  "graphTooltip": 0,
  "id": 283,
  "links": [
    {
      "icon": "external link",
      "includeVars": true,
      "keepTime": true,
      "tags": [
        "minio"
      ],
      "type": "dashboards"
    }
  ],
  "liveNow": false,
  "panels": [
    {
      "datasource": {
        "type": "prometheus",
    Registered: Sun Nov 03 19:28:11 UTC 2024
    - Last Modified: Thu Jun 13 22:26:54 UTC 2024
    - 57.4K bytes
    - Viewed (0)
  5. github.com/minio/minio

    docs/metrics/prometheus/grafana/replication/minio-replication-cluster.json 

      "editable": true,
  "fiscalYearStartMonth": 0,
  "gnetId": 15306,
  "graphTooltip": 0,
  "id": 285,
  "links": [
    {
      "icon": "external link",
      "includeVars": true,
      "keepTime": true,
      "tags": [
        "minio"
      ],
      "type": "dashboards"
    }
  ],
  "liveNow": false,
  "panels": [
    {
      "datasource": {
        "type": "prometheus",
    Registered: Sun Nov 03 19:28:11 UTC 2024
    - Last Modified: Thu Mar 28 17:15:39 UTC 2024
    - 71.1K bytes
    - Viewed (0)
  6. github.com/minio/minio

    docs/metrics/prometheus/grafana/bucket/minio-bucket.json 

      "editable": true,
  "fiscalYearStartMonth": 0,
  "gnetId": 15306,
  "graphTooltip": 0,
  "id": 296,
  "links": [
    {
      "icon": "external link",
      "includeVars": true,
      "keepTime": true,
      "tags": [
        "minio"
      ],
      "type": "dashboards"
    }
  ],
  "liveNow": false,
  "panels": [
    {
      "datasource": {
        "type": "prometheus",
    Registered: Sun Nov 03 19:28:11 UTC 2024
    - Last Modified: Fri May 24 11:11:51 UTC 2024
    - 101.8K bytes
    - Viewed (0)
  7. github.com/codelibs/fess

    src/main/webapp/js/admin/moment-with-locales.min.js.map 

    units","normalizeObjectUnits","inputObject","normalizedProp","normalizedInput","priorities","addUnitPriority","priority","isLeapYear","year","absFloor","ceil","floor","toInt","argumentForCoercion","coercedNumber","value","isFinite","makeGetSet","keepTime","set$1","get","month","date","daysInMonth","regexes","match1","match2","match3","match4","match6","match1to2","match3to4","match5to6","match1to3","match1to4","match1to6","matchUnsigned","matchSigned","matchOffset","matchShortOffset","matchWord"...
    Registered: Thu Oct 31 13:40:30 UTC 2024
    - Last Modified: Sat Oct 26 01:49:09 UTC 2024
    - 224.8K bytes
    - Viewed (0)
  8. github.com/tensorflow/tensorflow

    RELEASE.md 

            mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],
        keepdims=True) # Author code uses std + 1e-5 return
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Tue Oct 22 14:33:53 UTC 2024
    - 735.3K bytes
    - Viewed (0)
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