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cmd/kube-proxy/app/server_linux.go
if config.MaxPerCore != nil && *config.MaxPerCore > 0 { floor := 0 if config.Min != nil { floor = int(*config.Min) } scaled := int(*config.MaxPerCore) * detectNumCPU() if scaled > floor { logger.V(3).Info("GetConntrackMax: using scaled conntrack-max-per-core") return scaled, nil } logger.V(3).Info("GetConntrackMax: using conntrack-min") return floor, nil } return 0, nil }
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Sat Jun 08 13:48:54 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
MIN_COMBINED, a small bias is introduced where repeated iterations of quantizing and dequantizing will introduce a larger and larger error. *SCALED mode Example* `SCALED` mode matches the quantization approach used in `QuantizeAndDequantize{V2|V3}`. If the mode is `SCALED`, the quantization is performed by multiplying each input value by a scaling_factor.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_weights_test.cc
auto shape = GetAsVector(quant_tensor->shape()); if (kUseUpdatedHybridSchemeDefault) { EXPECT_EQ(quant_tensor->quantization()->scale()->size(), shape[0]); } else { EXPECT_EQ(quant_tensor->quantization()->scale()->size(), 1); } } else { EXPECT_EQ(quant_tensor->type(), TensorType_FLOAT32); } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 32.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
auto scaled = rewriter.create<chlo::BroadcastMulOp>( op.getLoc(), result_type, iota, op.getDelta(), hlo::getBroadcastDimensionsAttr(&rewriter, iota, op.getDelta())); rewriter.replaceOpWithNewOp<chlo::BroadcastAddOp>( op, result_type, scaled, op.getStart(), hlo::getBroadcastDimensionsAttr(&rewriter, scaled, op.getStart())); return success(); } };
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_model_test.cc
float_min = -float_max; } ASSERT_THAT(quantized_quant_params.scale, SizeIs(1)); ASSERT_THAT(quantized_quant_params.zero_point, SizeIs(1)); float scale = (float_max - float_min) / ((1 << bit_num) - 1); EXPECT_THAT(scale, FloatNear(quantized_quant_params.scale[0], eps)); } class QuantizeModelTest : public testing::Test { protected: QuantizeModelTest() {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 73.9K bytes - Viewed (0) -
pkg/controller/job/job_controller.go
completionMode := completionModeStr(job) var diff int // Updating succeeded metric must be handled differently // for Indexed Jobs to handle the case where the job has // been scaled down by reducing completions & parallelism // in tandem, and now a previously completed index is // now out of range (i.e. index >= spec.Completions). if isIndexedJob(job) { completions := int(*job.Spec.Completions)
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon Jun 10 23:56:37 UTC 2024 - 77.6K bytes - Viewed (0) -
cluster/gce/gci/configure-helper.sh
function setup-fluentd { local -r dst_dir="$1" local -r fluentd_gcp_yaml="${dst_dir}/fluentd-gcp/fluentd-gcp-ds.yaml" local -r fluentd_gcp_scaler_yaml="${dst_dir}/fluentd-gcp/scaler-deployment.yaml" # Ingest logs against new resources like "k8s_container" and "k8s_node" if # LOGGING_STACKDRIVER_RESOURCE_TYPES is "new". # Ingest logs against old resources like "gke_container" and "gce_instance" if
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon Jun 10 22:07:47 UTC 2024 - 141.1K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.27.md
- From now on, the HPA controller will return an error for the container resource metrics when the feature gate "HPAContainerMetrics" is disabled. As a result, HPA with a container resource metric performs no scale-down and performs only scale-up based on other metrics. ([#116043](https://github.com/kubernetes/kubernetes/pull/116043), [@sanposhiho](https://github.com/sanposhiho)) [SIG API Machinery, Apps and Autoscaling]
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Jun 11 23:01:06 UTC 2024 - 455.3K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.29.md
- Fixed a `v1.28.0` regression where `kube-controller-manager` can crash when `StatefulSet` with `Parallel` policy and PVC labels are scaled up. ([#121142](https://github.com/kubernetes/kubernetes/pull/121142), [@aleksandra-malinowska](https://github.com/aleksandra-malinowska))
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed Jun 12 03:42:38 UTC 2024 - 324.5K bytes - Viewed (0) -
RELEASE.md
`Policy` optionally took in a `tf.compat.v1.mixed_precision.LossScale` in the constructor, which defaulted to a dynamic loss scale for the `"mixed_float16"` policy and no loss scale for other policies. In `Model.compile`, if the model's policy had a loss scale, the optimizer would be wrapped with a `LossScaleOptimizer`. With the non-experimental `Policy`, there is no loss scale associated with the `Policy`, and `Model.compile` wraps the optimizer with a `LossScaleOptimizer` if and only if the policy...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)