watchme.watchers.gpu package
Submodules
watchme.watchers.gpu.decorators module
Copyright (C) 2019 Vanessa Sochat.
This Source Code Form is subject to the terms of the
Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed
with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
-
watchme.watchers.gpu.decorators.monitor_gpu(*args, **kwargs)[source]
a decorator to monitor a function every 3 (or user specified) seconds.
We include one or more task names that include data we want to extract.
we get the pid of the running function, and then use the
gpu_task from gpu to watch it. The functools “wraps”
ensures that the (fargs, fkwargs) are passed from the calling function
despite the wrapper. The following parameters can be provided to
“monitor resources”
- Parameters
watcher (the watcher instance to use, used to save data to a “task”) – folder that starts with “decorator-<name<”
seconds (how often to collect data during the run.)
only (ignore skip and include, only include this custom subset)
skip (Fields in the result to skip (list).)
include (Fields in the result to include back in (list).)
create (whether to create the watcher on the fly (default False, must) – exist)
name (the suffix of the decorator-gpu-<name> folder. If not provided,) – defaults to the function name
watchme.watchers.gpu.pynvml module
Copyright (C) 2019 Vanessa Sochat.
This Source Code Form is subject to the terms of the
Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed
with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
The original license (2011-2015) is included below.
-
exception
watchme.watchers.gpu.pynvml.NVMLError[source]
Bases: Exception
-
exception
watchme.watchers.gpu.pynvml.NVMLError_AlreadyInitialized
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_CorruptedInforom
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_DriverNotLoaded
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_FunctionNotFound
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_GpuIsLost
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_InsufficientPower
Bases: watchme.watchers.gpu.pynvml.NVMLError
-
exception
watchme.watchers.gpu.pynvml.NVMLError_InsufficientSize
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_InvalidArgument
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_IrqIssue
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_LibRmVersionMismatch
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_LibraryNotFound
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_NoPermission
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_NotFound
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_NotSupported
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_OperatingSystem
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_ResetRequired
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_Timeout
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_Uninitialized
Bases: watchme.watchers.gpu.pynvml.NVMLError
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exception
watchme.watchers.gpu.pynvml.NVMLError_Unknown
Bases: watchme.watchers.gpu.pynvml.NVMLError
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class
watchme.watchers.gpu.pynvml.c_nvmlAccountingStats_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
-
gpuUtilization
Structure/Union member
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isRunning
Structure/Union member
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maxMemoryUsage
Structure/Union member
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memoryUtilization
Structure/Union member
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reserved
Structure/Union member
-
startTime
Structure/Union member
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time
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlBAR1Memory_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
-
bar1Free
Structure/Union member
-
bar1Total
Structure/Union member
-
bar1Used
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlBridgeChipHierarchy_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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bridgeChipInfo
Structure/Union member
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bridgeCount
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlBridgeChipInfo_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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fwVersion
Structure/Union member
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type
Structure/Union member
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watchme.watchers.gpu.pynvml.c_nvmlDevice_t
alias of watchme.watchers.gpu.pynvml.LP_struct_c_nvmlDevice_t
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class
watchme.watchers.gpu.pynvml.c_nvmlEccErrorCounts_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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deviceMemory
Structure/Union member
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l1Cache
Structure/Union member
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l2Cache
Structure/Union member
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registerFile
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlEventData_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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device
Structure/Union member
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eventData
Structure/Union member
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eventType
Structure/Union member
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watchme.watchers.gpu.pynvml.c_nvmlEventSet_t
alias of watchme.watchers.gpu.pynvml.LP_struct_c_nvmlEventSet_t
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class
watchme.watchers.gpu.pynvml.c_nvmlHwbcEntry_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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firmwareVersion
Structure/Union member
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hwbcId
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlLedState_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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cause
Structure/Union member
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color
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlMemory_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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free
Structure/Union member
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total
Structure/Union member
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used
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlPSUInfo_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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current
Structure/Union member
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power
Structure/Union member
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state
Structure/Union member
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voltage
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlProcessInfo_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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pid
Structure/Union member
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usedGpuMemory
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlSample_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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sampleValue
Structure/Union member
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timeStamp
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlUnitFanInfo_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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speed
Structure/Union member
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state
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlUnitFanSpeeds_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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count
Structure/Union member
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fans
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlUnitInfo_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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firmwareVersion
Structure/Union member
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id
Structure/Union member
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name
Structure/Union member
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serial
Structure/Union member
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watchme.watchers.gpu.pynvml.c_nvmlUnit_t
alias of watchme.watchers.gpu.pynvml.LP_struct_c_nvmlUnit_t
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class
watchme.watchers.gpu.pynvml.c_nvmlUtilization_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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gpu
Structure/Union member
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memory
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlValue_t[source]
Bases: _ctypes.Union
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dVal
Structure/Union member
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uiVal
Structure/Union member
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ulVal
Structure/Union member
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ullVal
Structure/Union member
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class
watchme.watchers.gpu.pynvml.c_nvmlViolationTime_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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referenceTime
Structure/Union member
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violationTime
Structure/Union member
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watchme.watchers.gpu.pynvml.ensureUtfEncoding(value)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceClearAccountingPids(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceClearCpuAffinity(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceClearEccErrorCounts(handle, counterType)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetAPIRestriction(device, apiType)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetAccountingBufferSize(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetAccountingMode(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetAccountingPids(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetAccountingStats(handle, pid)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetApplicationsClock(handle, type)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetAutoBoostedClocksEnabled(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetBAR1MemoryInfo(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetBoardId(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetBrand(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetBridgeChipInfo(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetClockInfo(handle, type)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetComputeMode(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetComputeRunningProcesses(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetCount()[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetCpuAffinity(handle, cpuSetSize)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetCurrPcieLinkGeneration(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetCurrPcieLinkWidth(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetCurrentClocksThrottleReasons(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetCurrentDriverModel(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetCurrentEccMode(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetCurrentGpuOperationMode(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetDecoderUtilization(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetDefaultApplicationsClock(handle, type)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetDetailedEccErrors(handle, errorType, counterType)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetDisplayActive(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetDisplayMode(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetDriverModel(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetEccMode(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetEncoderUtilization(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetEnforcedPowerLimit(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetFanSpeed(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetGpuOperationMode(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetGraphicsRunningProcesses(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetHandleByIndex(index)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetHandleByPciBusId(pciBusId)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetHandleBySerial(serial)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetHandleByUUID(uuid)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetIndex(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetInforomConfigurationChecksum(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetInforomImageVersion(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetInforomVersion(handle, infoRomObject)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetMaxClockInfo(handle, type)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetMaxPcieLinkGeneration(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetMaxPcieLinkWidth(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetMemoryErrorCounter(handle, errorType, counterType, locationType)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetMemoryInfo(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetMinorNumber(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetMultiGpuBoard(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetName(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPciInfo(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPcieReplayCounter(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPcieThroughput(device, counter)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPendingDriverModel(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPendingEccMode(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPendingGpuOperationMode(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPerformanceState(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPersistenceMode(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPowerManagementDefaultLimit(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPowerManagementLimit(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPowerManagementLimitConstraints(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPowerManagementMode(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPowerState(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetPowerUsage(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetRetiredPages(device, sourceFilter)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetRetiredPagesPendingStatus(device)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetSamples(device, sampling_type, timeStamp)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetSerial(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetSupportedClocksThrottleReasons(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetSupportedEventTypes(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetSupportedGraphicsClocks(handle, memoryClockMHz)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetSupportedMemoryClocks(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetTemperature(handle, sensor)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetTemperatureThreshold(handle, threshold)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetTopologyCommonAncestor(device1, device2)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetTopologyNearestGpus(device, level)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetTotalEccErrors(handle, errorType, counterType)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetUUID(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetUtilizationRates(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetVbiosVersion(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceGetViolationStatus(device, perfPolicyType)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceOnSameBoard(handle1, handle2)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceRegisterEvents(handle, eventTypes, eventSet)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceResetApplicationsClocks(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceSetAPIRestriction(handle, apiType, isRestricted)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceSetAccountingMode(handle, mode)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceSetApplicationsClocks(handle, maxMemClockMHz, maxGraphicsClockMHz)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceSetAutoBoostedClocksEnabled(handle, enabled)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceSetComputeMode(handle, mode)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceSetCpuAffinity(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceSetDefaultAutoBoostedClocksEnabled(handle, enabled, flags)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceSetDriverModel(handle, model)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceSetEccMode(handle, mode)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceSetGpuOperationMode(handle, mode)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceSetPersistenceMode(handle, mode)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceSetPowerManagementLimit(handle, limit)[source]
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watchme.watchers.gpu.pynvml.nvmlDeviceValidateInforom(handle)[source]
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watchme.watchers.gpu.pynvml.nvmlErrorString(result)[source]
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watchme.watchers.gpu.pynvml.nvmlEventSetCreate()[source]
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watchme.watchers.gpu.pynvml.nvmlEventSetFree(eventSet)[source]
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watchme.watchers.gpu.pynvml.nvmlEventSetWait(eventSet, timeoutms)[source]
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class
watchme.watchers.gpu.pynvml.nvmlFriendlyObject(dictionary)[source]
Bases: object
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watchme.watchers.gpu.pynvml.nvmlFriendlyObjectToStruct(obj, model)[source]
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watchme.watchers.gpu.pynvml.nvmlInit()[source]
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class
watchme.watchers.gpu.pynvml.nvmlPciInfo_t[source]
Bases: watchme.watchers.gpu.pynvml._PrintableStructure
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bus
Structure/Union member
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busId
Structure/Union member
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device
Structure/Union member
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domain
Structure/Union member
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pciDeviceId
Structure/Union member
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pciSubSystemId
Structure/Union member
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reserved0
Structure/Union member
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reserved1
Structure/Union member
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reserved2
Structure/Union member
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reserved3
Structure/Union member
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watchme.watchers.gpu.pynvml.nvmlShutdown()[source]
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watchme.watchers.gpu.pynvml.nvmlStructToFriendlyObject(struct)[source]
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watchme.watchers.gpu.pynvml.nvmlSystemGetDriverVersion()[source]
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watchme.watchers.gpu.pynvml.nvmlSystemGetHicVersion()[source]
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watchme.watchers.gpu.pynvml.nvmlSystemGetNVMLVersion()[source]
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watchme.watchers.gpu.pynvml.nvmlSystemGetProcessName(pid)[source]
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watchme.watchers.gpu.pynvml.nvmlSystemGetTopologyGpuSet(cpuNumber)[source]
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watchme.watchers.gpu.pynvml.nvmlUnitGetCount()[source]
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watchme.watchers.gpu.pynvml.nvmlUnitGetDeviceCount(unit)[source]
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watchme.watchers.gpu.pynvml.nvmlUnitGetDevices(unit)[source]
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watchme.watchers.gpu.pynvml.nvmlUnitGetFanSpeedInfo(unit)[source]
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watchme.watchers.gpu.pynvml.nvmlUnitGetHandleByIndex(index)[source]
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watchme.watchers.gpu.pynvml.nvmlUnitGetLedState(unit)[source]
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watchme.watchers.gpu.pynvml.nvmlUnitGetPsuInfo(unit)[source]
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watchme.watchers.gpu.pynvml.nvmlUnitGetTemperature(unit, type)[source]
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watchme.watchers.gpu.pynvml.nvmlUnitGetUnitInfo(unit)[source]
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watchme.watchers.gpu.pynvml.nvmlUnitSetLedState(unit, color)[source]
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class
watchme.watchers.gpu.pynvml.struct_c_nvmlDevice_t[source]
Bases: _ctypes.Structure
-
class
watchme.watchers.gpu.pynvml.struct_c_nvmlEventSet_t[source]
Bases: _ctypes.Structure
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class
watchme.watchers.gpu.pynvml.struct_c_nvmlUnit_t[source]
Bases: _ctypes.Structure
watchme.watchers.gpu.tasks module
Copyright (C) 2019 Vanessa Sochat.
This Source Code Form is subject to the terms of the
Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed
with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
-
watchme.watchers.gpu.tasks.gpu_task(**kwargs)[source]
Get variables about the gpu of the host. No parameters are required.
We’ve already instantited the Task object and have checked that
the calling host has nvml GPU
- Parameters
skip (an optional list of (comma separated) fields to skip. Can be in) – net_io_counters,net_connections,net_if_address,net_if_stats
Module contents
Copyright (C) 2019 Vanessa Sochat.
This Source Code Form is subject to the terms of the
Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed
with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
-
class
watchme.watchers.gpu.Task(name, params=None, **kwargs)[source]
Bases: watchme.tasks.TaskBase
-
assert_gpu()[source]
has_gpu is run from the getgo to see if there are any libraries
for the client to read from. If not, we alert the user and exit.
-
export_func()[source]
this function should return the correct task (from the tasks.py
in the same folder) based on some logic of the params that are given
by the user (self.params). If there is only one kind of function for
the task, it’s fairly easy to import and return it here. This
function should take no arguments, but instead use the self.params
already provided in the client.
-
required_params = []