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Results 11 - 17 of 17 for unweighted (0.18 sec)
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pilot/pkg/config/kube/gateway/conversion_test.go
validationIgnorer *crdvalidation.ValidationIgnorer }{ {name: "http"}, {name: "tcp"}, {name: "tls"}, {name: "grpc"}, {name: "mismatch"}, {name: "weighted"}, {name: "zero"}, {name: "mesh"}, { name: "invalid", validationIgnorer: crdvalidation.NewValidationIgnorer( "default/^invalid-backendRef-kind-", "default/^invalid-backendRef-mixed-",
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Wed May 08 20:24:52 UTC 2024 - 34.9K bytes - Viewed (0) -
pkg/scheduler/schedule_one.go
// The scores from each plugin are added together to make the score for that node, then // any extenders are run as well. // All scores are finally combined (added) to get the total weighted scores of all nodes func prioritizeNodes( ctx context.Context, extenders []framework.Extender, fwk framework.Framework, state *framework.CycleState, pod *v1.Pod, nodes []*framework.NodeInfo,
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Jun 06 13:28:08 UTC 2024 - 43.4K bytes - Viewed (0) -
pkg/config/validation/validation_test.go
}}, }, valid: true}, {name: "no destination", route: &networking.HTTPRoute{ Route: []*networking.HTTPRouteDestination{{ Destination: nil, }}, }, valid: false}, {name: "weighted", route: &networking.HTTPRoute{ Route: []*networking.HTTPRouteDestination{{ Destination: &networking.Destination{Host: "foo.baz.south"}, Weight: 25, }, {
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Tue Apr 30 03:11:45 UTC 2024 - 196K bytes - Viewed (0) -
RELEASE.md
will raise an error. * `NONE`: Weighted losses with one dimension reduced (axis=-1, or axis specified by loss function). When this reduction type used with built-in Keras training loops like `fit`/`evaluate`, the unreduced vector loss is passed to the optimizer but the reported loss will be a scalar value. * `SUM`: Scalar sum of weighted losses. 4. `SUM_OVER_BATCH_SIZE`: Scalar
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
let description = [{ The 4-D `input` tensor is treated as a 3-D array of 1-D vectors (along the last dimension), and each vector is normalized independently. Within a given vector, each component is divided by the weighted, squared sum of inputs within `depth_radius`. In detail, sqr_sum[a, b, c, d] = sum(input[a, b, c, d - depth_radius : d + depth_radius + 1] ** 2) output = input / (bias + alpha * sqr_sum) ** beta
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.28.md
`sync_partial_proxy_rules_duration_seconds` (in addition to the existing\n`sync_proxy_rules_duration_seconds`), giving better information about the duration of each \nsync type, rather than only giving a weighted average of the two sync types together. ([#117787](https://github.com/kubernetes/kubernetes/pull/117787), [@danwinship](https://github.com/danwinship)) - `kubeadm`: added a new "kubeadm config validate" command that can be used to
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Jun 11 23:47:59 UTC 2024 - 408.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
let description = [{ The 4-D `input` tensor is treated as a 3-D array of 1-D vectors (along the last dimension), and each vector is normalized independently. Within a given vector, each component is divided by the weighted, squared sum of inputs within `depth_radius`. In detail, sqr_sum[a, b, c, d] = sum(input[a, b, c, d - depth_radius : d + depth_radius + 1] ** 2) output = input / (bias + alpha * sqr_sum) ** beta
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)