// utilization to be optimal, instead of blindly throttling the way we are
	// doing below. However the changes that are needed here are a bit involved,
	// further discussion advised. Remove this comment and remove the worker model
	// for this function in future.
	maxWorkers := runtime.GOMAXPROCS(0) / 2
	ng := WithNPeersThrottled(len(sys.peerClients), maxWorkers)

    TF_OperationDescription* desc =
        TF_NewOperation(host_graph_, func_name_, func_node_name_);
    for (auto input : inputs) {
      TF_AddInput(desc, input);
    }
    // Set device to CPU because some ops inside the function might not be
    // available on GPU.
    TF_SetDevice(desc, "/cpu:0");
    *op = TF_FinishOperation(desc, s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

* Fix device mountable volume names in DSW to prevent races in device mountable plugin, e.g. local. ([#71509](https://github.com/kubernetes/kubernetes/pull/71509), [@cofyc](https://github.com/cofyc))

labels.tooltip_search_view=検索画面
labels.tooltip_run_crawler=クローラーの実行
labels.tooltip_forum=フォーラム
labels.tooltip_onlinehelp=ヘルプ
labels.tooltip_logout=ログアウト
labels.advance=詳細検索
labels.advance_search_title=詳細検索
labels.advance_search_must_queries=すべての単語を含む
labels.advance_search_phrase_query=語順も含めた完全一致
labels.advance_search_should_queries=いずれかの単語を含む
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# specified".
build:cross_compile_macos_x86 --extra_toolchains=//tensorflow/tools/toolchains/cross_compile/config:macos-x86-cross-compile-cc-toolchain
# Map --platforms=darwin_x86_64 to --cpu=darwin and vice-versa to make selects()
# and transistions that use these flags work.
build:cross_compile_macos_x86 --platform_mappings=tensorflow/tools/toolchains/cross_compile/config/platform_mappings

- During device plugin allocation, resources requested by the pod can only be allocated if the device plugin has registered itself to kubelet AND healthy devices are present on the node to be allocated. If these conditions are not sattsfied, the pod would fail with `UnexpectedAdmissionError` error. ([#11...

- During device plugin allocation, resources requested by the pod can only be allocated if the device plugin has registered itself to kubelet AND healthy devices are present on the node to be allocated. If these conditions are not sattisfied, the pod would fail with `UnexpectedAdmissionError` error. ([#1...

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* fix device name change issue for azure disk: add remount logic ([#57953](https://github.com/kubernetes/kubernetes/pull/57953), [@andyzhangx](https://github.com/andyzhangx))
* falls back to parse Docker runtime version as generic if not semver ([#54040](https://github.com/kubernetes/kubernetes/pull/54040), [@dixudx](https://github.com/dixudx))

- During device plugin allocation, resources requested by the pod can only be allocated if the device plugin has registered itself to kubelet AND healthy devices are present on the node to be allocated. If these conditions are not sattsfied, the pod would fail with `UnexpectedAdmissionError` error. ([#11...