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pkg/controller/volume/persistentvolume/config/types.go
PVClaimBinderSyncPeriod metav1.Duration // volumeConfiguration holds configuration for volume related features. VolumeConfiguration VolumeConfiguration } // VolumeConfiguration contains *all* enumerated flags meant to configure all volume // plugins. From this config, the controller-manager binary will create many instances of // volume.VolumeConfig, each containing only the configuration needed for that plugin which
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon May 27 02:59:09 UTC 2024 - 3.8K bytes - Viewed (0) -
cmd/kube-controller-manager/app/plugins.go
// by dynamic linking or other "magic". Plugins will be analyzed and // initialized later. // Each plugin can make use of VolumeConfig. The single arg to this func contains *all* enumerated // options meant to configure volume plugins. From that single config, create an instance of volume.VolumeConfig // for a specific plugin and pass that instance to the plugin's ProbeVolumePlugins(config) func.
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu May 30 15:17:15 UTC 2024 - 6.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_graph_optimization_pass.cc
return "runs passes registered as tensorflow::GraphOptimizationPass"; } private: void runOnOperation() override { // Verify all passes requested were registered/found. for (auto pass_it : llvm::enumerate(passes_)) { if (pass_it.value() == nullptr) { mlir::emitError(mlir::UnknownLoc::get(&getContext())) << "could not find pass " << cl_pass_list[pass_it.index()]; return signalPassFailure();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 22:19:26 UTC 2024 - 7.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/composite_avg_pool.cc
const TorchAvgPoolData pool = GetTorchAvgPoolData(op); const auto values = GetPadOpPaddingValues(pool); llvm::SmallVector<int32_t> padding_vec(8, 0); // NHWC for (auto [ind, val] : llvm::enumerate(values)) { padding_vec[ind + 2] = val; } auto padding_shape = RankedTensorType::get({4, 2}, builder.getI32Type()); return DenseIntElementsAttr::get(padding_shape, padding_vec); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 23:16:05 UTC 2024 - 9.2K bytes - Viewed (0)