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tensorflow/compiler/mlir/tensorflow/ir/host_runtime/tfrt_ops.td
because the tensors are loaded asynchronously. }]; let arguments = (ins Arg<TF_StrTensor, [{Must have a single element. The prefix of a V2 checkpoint.}]>:$prefix, Arg<TF_StrTensor, [{shape {N}. The names of the tensors to be restored. This is tensor name in the model.}]>:$tensor_names, Arg<TF_StrTensor, [{shape {N}. The slice specs of the tensors to be restored.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 20:44:15 UTC 2024 - 6.8K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/poset.go
po.addchild(i2, i1, true) } return true } // Checkpoint saves the current state of the DAG so that it's possible // to later undo this state. // Complexity is O(1). func (po *poset) Checkpoint() { po.undo = append(po.undo, posetUndo{typ: undoCheckpoint}) } // Undo restores the state of the poset to the previous checkpoint. // Complexity depends on the type of operations that were performed
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Sep 04 17:23:05 UTC 2023 - 37.2K bytes - Viewed (0) -
pkg/kubelet/kubelet.go
} // CheckpointContainer tries to checkpoint a container. The parameters are used to // look up the specified container. If the container specified by the given parameters // cannot be found an error is returned. If the container is found the container // engine will be asked to checkpoint the given container into the kubelet's default // checkpoint directory. func (kl *Kubelet) CheckpointContainer(
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Fri Jun 14 16:09:17 UTC 2024 - 126.1K bytes - Viewed (1) -
tensorflow/compiler/mlir/tensorflow/g3doc/space_to_depth.md
1. Weight Transformation Weight Transformation is similar to Input Transform. Weight transform is needed to apply space to depth optimization for a model that needs to load a pre-train checkpoint. This transform can be done on the host or TPU device based on the cost. As the size of the kernel is relatively small, this won't add additional cost to TPU device time. Below is the logic to transform the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Oct 24 02:51:43 UTC 2020 - 8.3K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
} void TF_MakeInternalErrorStatus(TF_Status* status, const char* errMsg) { status->status = tensorflow::errors::Internal(errMsg); } struct TF_CheckpointReader : public tensorflow::checkpoint::CheckpointReader { using tensorflow::checkpoint::CheckpointReader::CheckpointReader; std::vector<std::string> variable_list; }; TF_CheckpointReader* TF_NewCheckpointReader(const char* filename,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 15 03:35:10 UTC 2024 - 29.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/save_model.py
saver_def: `saver_pb2.SaverDef` to create a `saver.Saver` from. The created saver will be used to save and load variables. This may be `None` if no variables exist in the graph. checkpoint_dir: Path to checkpoint file where variable values are saved. function_aliases: Function name -> function alias mapping. asset_file_defs: `AssetFileDef`s that associates the asset files and the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 12.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/unfreeze_constants.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 16 15:04:53 UTC 2023 - 14K bytes - Viewed (0) -
src/internal/syscall/windows/syscall_windows.go
type SERVICE_STATUS struct { ServiceType uint32 CurrentState uint32 ControlsAccepted uint32 Win32ExitCode uint32 ServiceSpecificExitCode uint32 CheckPoint uint32 WaitHint uint32 } const ( SERVICE_RUNNING = 4 SERVICE_QUERY_STATUS = 4 )
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Apr 26 22:55:25 UTC 2024 - 15.5K bytes - Viewed (0) -
SECURITY.md
your code interacts with the filesystem, network, etc. and uses checkpointed variables as part of those interactions (ex: using a string variable to build a filesystem path), a maliciously created checkpoint might be able to change the targets of those operations, which could result in arbitrary read/write/executions. ### Running a TensorFlow server
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Oct 01 06:06:35 UTC 2023 - 9.6K bytes - Viewed (0) -
src/syscall/zerrors_solaris_amd64.go
28: "virtual Timer Expired", 29: "profiling Timer Expired", 30: "cpu Limit Exceeded", 31: "file Size Limit Exceeded", 32: "no runnable lwp", 33: "inter-lwp signal", 34: "checkpoint Freeze", 35: "checkpoint Thaw", 36: "thread Cancellation", 37: "resource Lost", 38: "resource Control Exceeded", 39: "reserved for JVM 1", 40: "reserved for JVM 2",
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 29 13:52:34 UTC 2024 - 50.8K bytes - Viewed (0)