- Sort Score
- Result 10 results
- Languages All
Results 1 - 9 of 9 for keepTime (0.2 sec)
-
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",
Json - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Thu Mar 28 15:14:26 GMT 2024 - 23.1K bytes - Viewed (0) -
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",
Json - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Thu Mar 28 17:15:39 GMT 2024 - 57.5K bytes - Viewed (0) -
docs/metrics/prometheus/grafana/replication/minio-replication.json
"editable": true, "fiscalYearStartMonth": 0, "gnetId": 15306, "graphTooltip": 0, "id": null, "links": [ { "icon": "external link", "includeVars": true, "keepTime": true, "tags": [ "minio" ], "type": "dashboards" } ], "liveNow": false, "panels": [ { "aliasColors": { "Replication Errors": "light-red",
Json - Registered: Sun Mar 24 19:28:08 GMT 2024 - Last Modified: Thu Feb 29 18:35:20 GMT 2024 - 61.5K bytes - Viewed (0) -
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",
Json - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Thu Mar 28 17:15:39 GMT 2024 - 71.1K bytes - Viewed (1) -
docs/metrics/prometheus/grafana/minio-replication.json
"editable": true, "fiscalYearStartMonth": 0, "gnetId": 15306, "graphTooltip": 0, "id": null, "links": [ { "icon": "external link", "includeVars": true, "keepTime": true, "tags": [ "minio" ], "type": "dashboards" } ], "liveNow": false, "panels": [ { "aliasColors": { "Replication Errors": "light-red",
Json - Registered: Sun Feb 25 19:28:16 GMT 2024 - Last Modified: Tue Feb 20 09:45:00 GMT 2024 - 61.5K bytes - Viewed (1) -
docs/metrics/prometheus/grafana/minio-bucket.json
"editable": true, "fiscalYearStartMonth": 0, "gnetId": 15306, "graphTooltip": 0, "id": null, "links": [ { "icon": "external link", "includeVars": true, "keepTime": true, "tags": [ "minio" ], "type": "dashboards" } ], "liveNow": false, "panels": [ { "datasource": { "type": "prometheus",
Json - Registered: Sun Feb 25 19:28:16 GMT 2024 - Last Modified: Tue Feb 20 09:45:00 GMT 2024 - 71.4K bytes - Viewed (1) -
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",
Json - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Mon Apr 15 10:03:01 GMT 2024 - 102K bytes - Viewed (1) -
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",
Json - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Mon Apr 15 10:03:01 GMT 2024 - 93K bytes - Viewed (2) -
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
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8)