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common-protos/k8s.io/api/flowcontrol/v1beta3/generated.proto
// The server's concurrency limit (ServerCL) is divided among the // Limited priority levels in proportion to their NCS values: // // NominalCL(i) = ceil( ServerCL * NCS(i) / sum_ncs ) // sum_ncs = sum[limited priority level k] NCS(k) // // Bigger numbers mean a larger nominal concurrency limit, // at the expense of every other Limited priority level. // This field has a default value of 30.
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common/Makefile.common.mk
tidy-go: @find -name go.mod -execdir go mod tidy \; mod-download-go: @-GOFLAGS="-mod=readonly" find -name go.mod -execdir go mod download \; # go mod tidy is needed with Golang 1.16+ as go mod download affects go.sum # https://github.com/golang/go/issues/43994 @find -name go.mod -execdir go mod tidy \; format-go: tidy-go
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RELEASE.md
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 `SUM` divided by number of elements in losses. This reduction type is not supported when used with `tf.distribute.Strategy` outside of
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common-protos/k8s.io/api/core/v1/generated.proto
// most preferred is the one with the greatest sum of weights, i.e. // for each node that meets all of the scheduling requirements (resource // request, requiredDuringScheduling affinity expressions, etc.), // compute a sum by iterating through the elements of this field and adding // "weight" to the sum if the node matches the corresponding matchExpressions; the // node(s) with the highest sum are the most preferred. // +optional
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common-protos/k8s.io/api/flowcontrol/v1beta2/generated.proto
// the assured concurrency value (ACV) --- the number of requests // that may be executing at a time --- for each such priority // level: // // ACV(l) = ceil( SCL * ACS(l) / ( sum[priority levels k] ACS(k) ) ) // // bigger numbers of ACS mean more reserved concurrent requests (at the // expense of every other PL). // This field has a default value of 30. // +optional
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common-protos/k8s.io/api/flowcontrol/v1alpha1/generated.proto
// the assured concurrency value (ACV) --- the number of requests // that may be executing at a time --- for each such priority // level: // // ACV(l) = ceil( SCL * ACS(l) / ( sum[priority levels k] ACS(k) ) ) // // bigger numbers of ACS mean more reserved concurrent requests (at the // expense of every other PL). // This field has a default value of 30. // +optional
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common-protos/k8s.io/api/flowcontrol/v1beta1/generated.proto
// the assured concurrency value (ACV) --- the number of requests // that may be executing at a time --- for each such priority // level: // // ACV(l) = ceil( SCL * ACS(l) / ( sum[priority levels k] ACS(k) ) ) // // bigger numbers of ACS mean more reserved concurrent requests (at the // expense of every other PL). // This field has a default value of 30. // +optional
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Makefile.core.mk
# Base version of Istio image to use BASE_VERSION ?= master-2024-05-08T18-51-53 ISTIO_BASE_REGISTRY ?= gcr.io/istio-release export GO111MODULE ?= on export GOPROXY ?= https://proxy.golang.org export GOSUMDB ?= sum.golang.org # If GOPATH is not set by the env, set it to a sane value GOPATH ?= $(shell cd ${ISTIO_GO}/../../..; pwd) export GOPATH
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okhttp/src/test/java/okhttp3/internal/cache/DiskLruCacheTest.kt
val afterRemoveFileContents = if (windows) "a1234" else null set("a", "a1234", "a1234") val a = cache.edit("a")!! a.setString(0, "a123") cache.maxSize = 8 // Smaller than the sum of active edits! cache.flush() // Force trimToSize(). assertThat(cache.size()).isEqualTo(expectedByteCount) assertThat(readFileOrNull(getCleanFile("a", 0))).isEqualTo(afterRemoveFileContents)
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CHANGELOG/CHANGELOG-1.25.md
The `read_vs_write_current_requests` metric histogram is adjusted, in the case of using API Priority and Fairness instead of max-in-flight, to divide by the relevant limit: sum of queue capacities for waiting requests, sum of seat limits for executing requests. ([#110164](https://github.com/kubernetes/kubernetes/pull/110164), [@MikeSpreitzer](https://github.com/MikeSpreitzer))
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