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Results 1 - 4 of 4 for includedIf (0.23 sec)
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api/openapi-spec/v3/apis__resource.k8s.io__v1alpha2_openapi.json
"type": "string" }, "remainingItemCount": {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon Apr 22 12:18:45 UTC 2024 - 656.6K bytes - Viewed (0) -
api/openapi-spec/v3/apis__apps__v1_openapi.json
"description": "NodeAffinityPolicy indicates how we will treat Pod's nodeAffinity/nodeSelector when calculating pod topology spread skew. Options are: - Honor: only nodes matching nodeAffinity/nodeSelector are included in the calculations. - Ignore: nodeAffinity/nodeSelector are ignored. All nodes are included in the calculations.\n\nIf this value is nil, the behavior is equivalent to the Honor policy. This is a beta-level feature default enabled by the NodeInclusionPolicyInPodTopologySpread feature flag.",...
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed May 29 22:40:29 UTC 2024 - 810.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
let summary = "Outputs random values from a uniform distribution."; let description = [{ The generated values follow a uniform distribution in the range `[0, 1)`. The lower bound 0 is included in the range, while the upper bound 1 is excluded. }]; let arguments = (ins Arg<TF_I32OrI64Tensor, [{The shape of the output tensor.}]>:$shape,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
RELEASE.md
each `TRTEngineOp` with their input(s)' and output(s)' shape and dtype. A detailed version of the summary is available which prints additionally all the TensorFlow OPs included in each of the `TRTEngineOp`s. * `tf.tpu.experimental.embedding`: * `tf.tpu.experimental.embedding.FeatureConfig` now takes an additional
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)