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Results 1 - 10 of 884 for scaleZ (0.2 sec)
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tensorflow/compiler/mlir/quantization/common/ir/UniformSupport.h
} bool lossy; expressed_value.convert(scale_.getSemantics(), round_mode_, &lossy); // fixed_point = clamp(clamp_min, clamp_max, ( // roundHalfToEven(expressed / scale) + zero_point)) APFloat scaled = (expressed_value / scale_); scaled.roundToIntegral(round_mode_); scaled.add(zero_point_, round_mode_); APFloat fixed_point = llvm::minimum(scaled, clamp_max_);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 02:10:16 UTC 2024 - 9.8K bytes - Viewed (0) -
src/cmd/vendor/github.com/google/pprof/internal/measurement/measurement.go
} } return false } // Scale a measurement from a unit to a different unit and returns // the scaled value and the target unit. The returned target unit // will be empty if uninteresting (could be skipped). func Scale(value int64, fromUnit, toUnit string) (float64, string) { // Avoid infinite recursion on overflow. if value < 0 && -value > 0 { v, u := Scale(-value, fromUnit, toUnit) return -v, u }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 31 19:48:28 UTC 2024 - 8.8K bytes - Viewed (0) -
pkg/controller/deployment/recreate.go
return false } // scaleUpNewReplicaSetForRecreate scales up new replica set when deployment strategy is "Recreate". func (dc *DeploymentController) scaleUpNewReplicaSetForRecreate(ctx context.Context, newRS *apps.ReplicaSet, deployment *apps.Deployment) (bool, error) { scaled, _, err := dc.scaleReplicaSetAndRecordEvent(ctx, newRS, *(deployment.Spec.Replicas), deployment) return scaled, err
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed Oct 13 20:32:13 UTC 2021 - 4.2K bytes - Viewed (0) -
pkg/controller/deployment/rolling.go
maxUnavailable := deploymentutil.MaxUnavailable(*deployment) // Check if we can scale down. We can scale down in the following 2 cases: // * Some old replica sets have unhealthy replicas, we could safely scale down those unhealthy replicas since that won't further // increase unavailability. // * New replica set has scaled up and it's replicas becomes ready, then we can scale down old replica sets in a further step. //
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Fri Dec 15 07:09:11 UTC 2023 - 9.9K bytes - Viewed (0) -
cluster/addons/fluentd-gcp/scaler-deployment.yaml
kind: Deployment metadata: name: fluentd-gcp-scaler namespace: kube-system labels: k8s-app: fluentd-gcp-scaler version: v0.5.1 addonmanager.kubernetes.io/mode: Reconcile spec: selector: matchLabels: k8s-app: fluentd-gcp-scaler template: metadata: labels: k8s-app: fluentd-gcp-scaler spec: serviceAccountName: fluentd-gcp-scaler containers:
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Sep 07 17:58:57 UTC 2023 - 972 bytes - Viewed (0) -
cluster/addons/fluentd-gcp/scaler-rbac.yaml
kind: RoleBinding metadata: name: fluentd-gcp-scaler-binding namespace: kube-system labels: kubernetes.io/cluster-service: "true" addonmanager.kubernetes.io/mode: Reconcile roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: system:fluentd-gcp-scaler subjects: - kind: ServiceAccount name: fluentd-gcp-scaler
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Fri Dec 13 17:23:39 UTC 2019 - 1009 bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_weight_only.mlir
// PerChannel-DAG: %[[q_w2:.*]] = "tf.Const"() <{value = dense<{{[0-9]+}}> : tensor<2x3x3x2xi8>}> : () -> tensor<2x3x3x2xi8> // PerChannel-DAG: %[[scale1:.*]] = "tf.Const"() <{value = dense<{{[0-9\.Ee\+\-]+}}> : tensor<3xf32>}> : () -> tensor<3xf32> // PerChannel-DAG: %[[scale2:.*]] = "tf.Const"() <{value = dense<{{[0-9\.Ee\+\-]+}}> : tensor<6xf32>}> : () -> tensor<6xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 11.3K bytes - Viewed (0) -
staging/src/k8s.io/client-go/applyconfigurations/apps/v1beta2/scale.go
Status *v1beta2.ScaleStatus `json:"status,omitempty"` } // ScaleApplyConfiguration constructs an declarative configuration of the Scale type for use with // apply. func Scale() *ScaleApplyConfiguration { b := &ScaleApplyConfiguration{} b.WithKind("Scale") b.WithAPIVersion("apps/v1beta2") return b } // WithKind sets the Kind field in the declarative configuration to the given value
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed Mar 23 17:59:55 UTC 2022 - 9.8K bytes - Viewed (0) -
staging/src/k8s.io/client-go/applyconfigurations/autoscaling/v1/scale.go
} // ScaleApplyConfiguration constructs an declarative configuration of the Scale type for use with // apply. func Scale() *ScaleApplyConfiguration { b := &ScaleApplyConfiguration{} b.WithKind("Scale") b.WithAPIVersion("autoscaling/v1") return b } // WithKind sets the Kind field in the declarative configuration to the given value
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed Mar 23 17:59:55 UTC 2022 - 9.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/uniform_quantized_types_test.cc
/*scale=*/1.0, /*zero_point=*/0); EXPECT_TRUE(quantized_type.getExpressedType().isF32()); } TEST_F(CreateI8F32UniformQuantizedTypeTest, SignedQuantizedTypeSucceeds) { const UniformQuantizedType quantized_type = CreateI8F32UniformQuantizedType(UnknownLoc::get(&ctx_), ctx_, /*scale=*/1.0, /*zero_point=*/0);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 28.8K bytes - Viewed (0)