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pynvml.py
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pynvml.py
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# ============================================================================ #
# Copyright (c) 2011-2015, NVIDIA Corporation. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of the NVIDIA Corporation nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
# THE POSSIBILITY OF SUCH DAMAGE.
# ============================================================================ #
"""
Python bindings for the NVML library.
"""
import os
import string
import sys
import threading
from ctypes import *
from ctypes.util import find_library
## ========================================================================== ##
## ##
## CType Mappings ##
## ##
## ========================================================================== ##
## Enums
_nvmlEnableState_t = c_uint
NVML_FEATURE_DISABLED = 0
NVML_FEATURE_ENABLED = 1
_nvmlBrandType_t = c_uint
NVML_BRAND_UNKNOWN = 0
NVML_BRAND_QUADRO = 1
NVML_BRAND_TESLA = 2
NVML_BRAND_NVS = 3
NVML_BRAND_GRID = 4
NVML_BRAND_GEFORCE = 5
NVML_BRAND_COUNT = 6
_nvmlTemperatureThresholds_t = c_uint
NVML_TEMPERATURE_THRESHOLD_SHUTDOWN = 0
NVML_TEMPERATURE_THRESHOLD_SLOWDOWN = 1
NVML_TEMPERATURE_THRESHOLD_COUNT = 1
_nvmlTemperatureSensors_t = c_uint
NVML_TEMPERATURE_GPU = 0
NVML_TEMPERATURE_COUNT = 1
_nvmlComputeMode_t = c_uint
NVML_COMPUTEMODE_DEFAULT = 0
NVML_COMPUTEMODE_EXCLUSIVE_THREAD = 1
NVML_COMPUTEMODE_PROHIBITED = 2
NVML_COMPUTEMODE_EXCLUSIVE_PROCESS = 3
NVML_COMPUTEMODE_COUNT = 4
_nvmlMemoryLocation_t = c_uint
NVML_MEMORY_LOCATION_L1_CACHE = 0
NVML_MEMORY_LOCATION_L2_CACHE = 1
NVML_MEMORY_LOCATION_DEVICE_MEMORY = 2
NVML_MEMORY_LOCATION_REGISTER_FILE = 3
NVML_MEMORY_LOCATION_TEXTURE_MEMORY = 4
NVML_MEMORY_LOCATION_COUNT = 5
# These are deprecated, instead use _nvmlMemoryErrorType_t
_nvmlEccBitType_t = c_uint
NVML_SINGLE_BIT_ECC = 0
NVML_DOUBLE_BIT_ECC = 1
NVML_ECC_ERROR_TYPE_COUNT = 2
_nvmlEccCounterType_t = c_uint
NVML_VOLATILE_ECC = 0
NVML_AGGREGATE_ECC = 1
NVML_ECC_COUNTER_TYPE_COUNT = 2
_nvmlMemoryErrorType_t = c_uint
NVML_MEMORY_ERROR_TYPE_CORRECTED = 0
NVML_MEMORY_ERROR_TYPE_UNCORRECTED = 1
NVML_MEMORY_ERROR_TYPE_COUNT = 2
_nvmlClockType_t = c_uint
NVML_CLOCK_GRAPHICS = 0
NVML_CLOCK_SM = 1
NVML_CLOCK_MEM = 2
NVML_CLOCK_COUNT = 3
_nvmlDriverModel_t = c_uint
NVML_DRIVER_WDDM = 0
NVML_DRIVER_WDM = 1
_nvmlPstates_t = c_uint
NVML_PSTATE_0 = 0
NVML_PSTATE_1 = 1
NVML_PSTATE_2 = 2
NVML_PSTATE_3 = 3
NVML_PSTATE_4 = 4
NVML_PSTATE_5 = 5
NVML_PSTATE_6 = 6
NVML_PSTATE_7 = 7
NVML_PSTATE_8 = 8
NVML_PSTATE_9 = 9
NVML_PSTATE_10 = 10
NVML_PSTATE_11 = 11
NVML_PSTATE_12 = 12
NVML_PSTATE_13 = 13
NVML_PSTATE_14 = 14
NVML_PSTATE_15 = 15
NVML_PSTATE_UNKNOWN = 32
_nvmlInforomObject_t = c_uint
NVML_INFOROM_OEM = 0
NVML_INFOROM_ECC = 1
NVML_INFOROM_POWER = 2
NVML_INFOROM_COUNT = 3
_nvmlReturn_t = c_uint
NVML_SUCCESS = 0
NVML_ERROR_UNINITIALIZED = 1
NVML_ERROR_INVALID_ARGUMENT = 2
NVML_ERROR_NOT_SUPPORTED = 3
NVML_ERROR_NO_PERMISSION = 4
NVML_ERROR_ALREADY_INITIALIZED = 5
NVML_ERROR_NOT_FOUND = 6
NVML_ERROR_INSUFFICIENT_SIZE = 7
NVML_ERROR_INSUFFICIENT_POWER = 8
NVML_ERROR_DRIVER_NOT_LOADED = 9
NVML_ERROR_TIMEOUT = 10
NVML_ERROR_IRQ_ISSUE = 11
NVML_ERROR_LIBRARY_NOT_FOUND = 12
NVML_ERROR_FUNCTION_NOT_FOUND = 13
NVML_ERROR_CORRUPTED_INFOROM = 14
NVML_ERROR_GPU_IS_LOST = 15
NVML_ERROR_RESET_REQUIRED = 16
NVML_ERROR_OPERATING_SYSTEM = 17
NVML_ERROR_LIB_RM_VERSION_MISMATCH = 18
NVML_ERROR_UNKNOWN = 999
_nvmlFanState_t = c_uint
NVML_FAN_NORMAL = 0
NVML_FAN_FAILED = 1
_nvmlLedColor_t = c_uint
NVML_LED_COLOR_GREEN = 0
NVML_LED_COLOR_AMBER = 1
_nvmlGpuOperationMode_t = c_uint
NVML_GOM_ALL_ON = 0
NVML_GOM_COMPUTE = 1
NVML_GOM_LOW_DP = 2
_nvmlPageRetirementCause_t = c_uint
NVML_PAGE_RETIREMENT_CAUSE_DOUBLE_BIT_ECC_ERROR = 0
NVML_PAGE_RETIREMENT_CAUSE_MULTIPLE_SINGLE_BIT_ECC_ERRORS = 1
NVML_PAGE_RETIREMENT_CAUSE_COUNT = 2
_nvmlRestrictedAPI_t = c_uint
NVML_RESTRICTED_API_SET_APPLICATION_CLOCKS = 0
NVML_RESTRICTED_API_SET_AUTO_BOOSTED_CLOCKS = 1
NVML_RESTRICTED_API_COUNT = 2
_nvmlBridgeChipType_t = c_uint
NVML_BRIDGE_CHIP_PLX = 0
NVML_BRIDGE_CHIP_BRO4 = 1
NVML_MAX_PHYSICAL_BRIDGE = 128
_nvmlValueType_t = c_uint
NVML_VALUE_TYPE_DOUBLE = 0
NVML_VALUE_TYPE_UNSIGNED_INT = 1
NVML_VALUE_TYPE_UNSIGNED_LONG = 2
NVML_VALUE_TYPE_UNSIGNED_LONG_LONG = 3
NVML_VALUE_TYPE_COUNT = 4
_nvmlPerfPolicyType_t = c_uint
NVML_PERF_POLICY_POWER = 0
NVML_PERF_POLICY_THERMAL = 1
NVML_PERF_POLICY_COUNT = 2
_nvmlSamplingType_t = c_uint
NVML_TOTAL_POWER_SAMPLES = 0
NVML_GPU_UTILIZATION_SAMPLES = 1
NVML_MEMORY_UTILIZATION_SAMPLES = 2
NVML_ENC_UTILIZATION_SAMPLES = 3
NVML_DEC_UTILIZATION_SAMPLES = 4
NVML_PROCESSOR_CLK_SAMPLES = 5
NVML_MEMORY_CLK_SAMPLES = 6
NVML_SAMPLINGTYPE_COUNT = 7
_nvmlPcieUtilCounter_t = c_uint
NVML_PCIE_UTIL_TX_BYTES = 0
NVML_PCIE_UTIL_RX_BYTES = 1
NVML_PCIE_UTIL_COUNT = 2
_nvmlGpuTopologyLevel_t = c_uint
NVML_TOPOLOGY_INTERNAL = 0
NVML_TOPOLOGY_SINGLE = 10
NVML_TOPOLOGY_MULTIPLE = 20
NVML_TOPOLOGY_HOSTBRIDGE = 30
NVML_TOPOLOGY_CPU = 40
NVML_TOPOLOGY_SYSTEM = 50
_nvmlNvLinkCapability_t = c_uint
NVML_NVLINK_CAP_P2P_SUPPORTED = 0
NVML_NVLINK_CAP_SYSMEM_ACCESS = 1
NVML_NVLINK_CAP_P2P_ATOMICS = 2
NVML_NVLINK_CAP_SYSMEM_ATOMICS = 3
NVML_NVLINK_CAP_SLI_BRIDGE = 4
NVML_NVLINK_CAP_VALID = 5
NVML_NVLINK_CAP_COUNT = 6
_nvmlNvLinkErrorCounter_t = c_uint
NVML_NVLINK_ERROR_DL_REPLAY = 0
NVML_NVLINK_ERROR_DL_RECOVERY = 1
NVML_NVLINK_ERROR_DL_CRC_FLIT = 2
NVML_NVLINK_ERROR_DL_CRC_DATA = 3
NVML_NVLINK_ERROR_COUNT = 4
_nvmlNvLinkUtilizationCountPktTypes_t = c_uint
NVML_NVLINK_COUNTER_PKTFILTER_NOP = 0x1
NVML_NVLINK_COUNTER_PKTFILTER_READ = 0x2
NVML_NVLINK_COUNTER_PKTFILTER_WRITE = 0x4
NVML_NVLINK_COUNTER_PKTFILTER_RATOM = 0x8
NVML_NVLINK_COUNTER_PKTFILTER_NRATOM = 0x10
NVML_NVLINK_COUNTER_PKTFILTER_FLUSH = 0x20
NVML_NVLINK_COUNTER_PKTFILTER_RESPDATA = 0x40
NVML_NVLINK_COUNTER_PKTFILTER_RESPNODATA = 0x80
NVML_NVLINK_COUNTER_PKTFILTER_ALL = 0xFF
_nvmlNvLinkUtilizationCountUnits_t = c_uint
NVML_NVLINK_COUNTER_UNIT_CYCLES = 0
NVML_NVLINK_COUNTER_UNIT_PACKETS = 1
NVML_NVLINK_COUNTER_UNIT_BYTES = 2
NVML_NVLINK_COUNTER_UNIT_COUNT = 3
_nvmlNvLinkUtilizationControl_t = c_int
# C preprocessor defined values
nvmlFlagDefault = 0
nvmlFlagForce = 1
# buffer size
NVML_DEVICE_INFOROM_VERSION_BUFFER_SIZE = 16
NVML_DEVICE_UUID_BUFFER_SIZE = 80
NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE = 81
NVML_SYSTEM_NVML_VERSION_BUFFER_SIZE = 80
NVML_DEVICE_NAME_BUFFER_SIZE = 64
NVML_DEVICE_SERIAL_BUFFER_SIZE = 30
NVML_DEVICE_VBIOS_VERSION_BUFFER_SIZE = 32
NVML_DEVICE_PCI_BUS_ID_BUFFER_SIZE = 32
NVML_DEVICE_PCI_BUS_ID_BUFFER_V2_SIZE = 16
# NvLink
NVML_NVLINK_MAX_LINKS = 6
NVML_VALUE_NOT_AVAILABLE_ulonglong = c_ulonglong(-1)
NVML_VALUE_NOT_AVAILABLE_uint = c_uint(-1)
## ========================================================================== ##
## ##
## Library Loading ##
## ##
## ========================================================================== ##
nvml_lib = None
lib_load_lock = threading.Lock()
nvml_lib_refcount = 0 # Incremented on each nvmlInit and decremented on nvmlShutdown
## ========================================================================== ##
## ##
## Error-checking Functionality ##
## ##
## ========================================================================== ##
class NVMLError(Exception):
_val_mapping = dict()
# List of currently known error codes
_errcode_to_string = {
NVML_ERROR_UNINITIALIZED: "Uninitialized",
NVML_ERROR_INVALID_ARGUMENT: "Invalid Argument",
NVML_ERROR_NOT_SUPPORTED: "Not Supported",
NVML_ERROR_NO_PERMISSION: "Insufficient Permissions",
NVML_ERROR_ALREADY_INITIALIZED: "Already Initialized",
NVML_ERROR_NOT_FOUND: "Not Found",
NVML_ERROR_INSUFFICIENT_SIZE: "Insufficient Size",
NVML_ERROR_INSUFFICIENT_POWER: "Insufficient External Power",
NVML_ERROR_DRIVER_NOT_LOADED: "Driver Not Loaded",
NVML_ERROR_TIMEOUT: "Timeout",
NVML_ERROR_IRQ_ISSUE: "Interrupt Request Issue",
NVML_ERROR_LIBRARY_NOT_FOUND: "NVML Shared Library Not Found",
NVML_ERROR_FUNCTION_NOT_FOUND: "Function Not Found",
NVML_ERROR_CORRUPTED_INFOROM: "Corrupted infoROM",
NVML_ERROR_GPU_IS_LOST: "GPU is lost",
NVML_ERROR_RESET_REQUIRED: "GPU requires restart",
NVML_ERROR_OPERATING_SYSTEM: "The operating system has blocked the request.",
NVML_ERROR_LIB_RM_VERSION_MISMATCH: "RM has detected an NVML/RM version mismatch.",
NVML_ERROR_UNKNOWN: "Unknown Error",
}
def __new__(typ, value):
"""
Maps value to a proper subclass of NVMLError.
See _extract_errors_as_classes function for more details
"""
if typ == NVMLError:
typ = NVMLError._val_mapping.get(value, typ)
obj = Exception.__new__(typ)
obj.value = value
return obj
def __str__(self):
try:
if self.value not in NVMLError._errcode_to_string:
NVMLError._errcode_to_string[self.value] = str(nvml_error_string(self.value))
return NVMLError._errcode_to_string[self.value]
except NVMLError_Uninitialized:
return "NVML Error with code %d" % self.value
def __eq__(self, other):
return self.value == other.value
def _extract_errors_as_classes():
"""
Generates a hierarchy of classes on top of NVMLError class.
Each NVML Error gets a new NVMLError subclass. This way try,except blocks can filter appropriate
exceptions more easily.
NVMLError is a parent class. Each NVML_ERROR_* gets it's own subclass.
e.g. NVML_ERROR_ALREADY_INITIALIZED will be turned into NVMLError_AlreadyInitialized
"""
this_module = sys.modules[__name__]
nvmlErrorsNames = filter(lambda x: x.startswith("NVML_ERROR_"), dir(this_module))
for err_name in nvmlErrorsNames:
# e.g. Turn NVML_ERROR_ALREADY_INITIALIZED into NVMLError_AlreadyInitialized
class_name = "NVMLError_" + string.capwords(
err_name.replace("NVML_ERROR_", ""), "_"
).replace("_", "")
err_val = getattr(this_module, err_name)
def gen_new(val):
def new(typ):
obj = NVMLError.__new__(typ, val)
return obj
return new
new_error_class = type(class_name, (NVMLError,), {"__new__": gen_new(err_val)})
new_error_class.__module__ = __name__
setattr(this_module, class_name, new_error_class)
NVMLError._val_mapping[err_val] = new_error_class
_extract_errors_as_classes()
def check_return(ret):
if ret != NVML_SUCCESS:
raise NVMLError(ret)
return ret
## ========================================================================== ##
## ##
## Library Function Access ##
## ##
## ========================================================================== ##
_func_pointer_cache = (
dict()
) # function pointers are cached to prevent unnecessary lib_load_lock locking
def get_func_pointer(name):
global nvml_lib
if name in _func_pointer_cache:
return _func_pointer_cache[name]
lib_load_lock.acquire()
try:
# ensure library was loaded
if nvml_lib == None:
raise NVMLError(NVML_ERROR_UNINITIALIZED)
try:
_func_pointer_cache[name] = getattr(nvml_lib, name)
return _func_pointer_cache[name]
except AttributeError:
raise NVMLError(NVML_ERROR_FUNCTION_NOT_FOUND)
finally:
# lock is always freed
lib_load_lock.release()
## Alternative object
# Allows the object to be printed
# Allows mismatched types to be assigned
# - like None when the Structure variant requires c_uint
class FriendlyObject(object):
def __init__(self, dictionary):
for x in dictionary:
setattr(self, x, dictionary[x])
def __str__(self):
return self.__dict__.__str__()
def struct_to_friendly_object(struct):
d = {}
for x in struct._fields_:
key = x[0]
value = getattr(struct, key)
d[key] = value
obj = FriendlyObject(d)
return obj
# pack the object so it can be passed to the NVML library
def friendly_object_to_struct(obj, model):
for x in model._fields_:
key = x[0]
value = obj.__dict__[key]
setattr(model, key, value)
return model
## Unit structures
class struct_c_nvmlUnit_t(Structure):
pass # opaque handle
c_nvmlUnit_t = POINTER(struct_c_nvmlUnit_t)
class PrintableStructure(Structure):
"""
Abstract class that produces nicer __str__ output than ctypes.Structure.
e.g. instead of:
>>> print str(obj)
<class_name object at 0x7fdf82fef9e0>
this class will print
class_name(field_name: formatted_value, field_name: formatted_value)
_fmt_ dictionary of <str _field_ name> -> <str format>
e.g. class that has _field_ 'hex_value', c_uint could be formatted with
_fmt_ = {"hex_value" : "%08X"}
to produce nicer output.
Default fomratting string for all fields can be set with key "<default>" like:
_fmt_ = {"<default>" : "%d MHz"} # e.g all values are numbers in MHz.
If not set it's assumed to be just "%s"
Exact format of returned str from this class is subject to change in the future.
"""
_fmt_ = {}
def __str__(self):
result = []
for x in self._fields_:
key = x[0]
value = getattr(self, key)
fmt = "%s"
if key in self._fmt_:
fmt = self._fmt_[key]
elif "<default>" in self._fmt_:
fmt = self._fmt_["<default>"]
result.append(("%s: " + fmt) % (key, value))
return self.__class__.__name__ + "(" + string.join(result, ", ") + ")"
## ========================================================================== ##
## ##
## C-Type Class Definitions ##
## ##
## ========================================================================== ##
class c_nvmlUnitInfo_t(PrintableStructure):
_fields_ = [
("name", c_char * 96),
("id", c_char * 96),
("serial", c_char * 96),
("firmwareVersion", c_char * 96),
]
class c_nvmlLedState_t(PrintableStructure):
_fields_ = [
("cause", c_char * 256),
("color", _nvmlLedColor_t),
]
class c_nvmlPSUInfo_t(PrintableStructure):
_fields_ = [
("state", c_char * 256),
("current", c_uint),
("voltage", c_uint),
("power", c_uint),
]
class c_nvmlUnitFanInfo_t(PrintableStructure):
_fields_ = [
("speed", c_uint),
("state", _nvmlFanState_t),
]
class c_nvmlUnitFanSpeeds_t(PrintableStructure):
_fields_ = [("fans", c_nvmlUnitFanInfo_t * 24), ("count", c_uint)]
## Device structures
class struct_c_nvmlDevice_t(Structure):
pass # opaque handle
c_nvmlDevice_t = POINTER(struct_c_nvmlDevice_t)
class nvmlPciInfo_t(PrintableStructure):
_fields_ = [
("busId", c_char * 16),
("domain", c_uint),
("bus", c_uint),
("device", c_uint),
("pciDeviceId", c_uint),
# Added in 2.285
("pciSubSystemId", c_uint),
("reserved0", c_uint),
("reserved1", c_uint),
("reserved2", c_uint),
("reserved3", c_uint),
]
_fmt_ = {
"domain": "0x%04X",
"bus": "0x%02X",
"device": "0x%02X",
"pciDeviceId": "0x%08X",
"pciSubSystemId": "0x%08X",
}
class c_nvmlMemory_t(PrintableStructure):
_fields_ = [
("total", c_ulonglong),
("free", c_ulonglong),
("used", c_ulonglong),
]
_fmt_ = {"<default>": "%d B"}
class c_nvmlBAR1Memory_t(PrintableStructure):
_fields_ = [
("bar1Total", c_ulonglong),
("bar1Free", c_ulonglong),
("bar1Used", c_ulonglong),
]
_fmt_ = {"<default>": "%d B"}
# On Windows with the WDDM driver, usedGpuMemory is reported as None
# Code that processes this structure should check for None, I.E.
#
# if (info.usedGpuMemory == None):
# # TODO handle the error
# pass
# else:
# print("Using %d MiB of memory" % (info.usedGpuMemory / 1024 / 1024))
#
# See NVML documentation for more information
class c_nvmlProcessInfo_t(PrintableStructure):
_fields_ = [
("pid", c_uint),
("usedGpuMemory", c_ulonglong),
]
_fmt_ = {"usedGpuMemory": "%d B"}
class c_nvmlBridgeChipInfo_t(PrintableStructure):
_fields_ = [
("type", _nvmlBridgeChipType_t),
("fwVersion", c_uint),
]
class c_nvmlBridgeChipHierarchy_t(PrintableStructure):
_fields_ = [
("bridgeCount", c_uint),
("bridgeChipInfo", c_nvmlBridgeChipInfo_t * 128),
]
class c_nvmlEccErrorCounts_t(PrintableStructure):
_fields_ = [
("l1Cache", c_ulonglong),
("l2Cache", c_ulonglong),
("deviceMemory", c_ulonglong),
("registerFile", c_ulonglong),
]
class c_nvmlUtilization_t(PrintableStructure):
_fields_ = [
("gpu", c_uint),
("memory", c_uint),
]
_fmt_ = {"<default>": "%d %%"}
# Added in 2.285
class c_nvmlHwbcEntry_t(PrintableStructure):
_fields_ = [
("hwbcId", c_uint),
("firmwareVersion", c_char * 32),
]
class c_nvmlValue_t(Union):
_fields_ = [
("dVal", c_double),
("uiVal", c_uint),
("ulVal", c_ulong),
("ullVal", c_ulonglong),
]
class c_nvmlSample_t(PrintableStructure):
_fields_ = [
("timeStamp", c_ulonglong),
("sampleValue", c_nvmlValue_t),
]
class c_nvmlViolationTime_t(PrintableStructure):
_fields_ = [
("referenceTime", c_ulonglong),
("violationTime", c_ulonglong),
]
## Event structures
class struct_c_nvmlEventSet_t(Structure):
pass # opaque handle
c_nvmlEventSet_t = POINTER(struct_c_nvmlEventSet_t)
nvmlEventTypeSingleBitEccError = 0x0000000000000001
nvmlEventTypeDoubleBitEccError = 0x0000000000000002
nvmlEventTypePState = 0x0000000000000004
nvmlEventTypeXidCriticalError = 0x0000000000000008
nvmlEventTypeClock = 0x0000000000000010
nvmlEventTypeNone = 0x0000000000000000
nvmlEventTypeAll = (
nvmlEventTypeNone
| nvmlEventTypeSingleBitEccError
| nvmlEventTypeDoubleBitEccError
| nvmlEventTypePState
| nvmlEventTypeClock
| nvmlEventTypeXidCriticalError
)
## Clock Throttle Reasons defines
nvmlClocksThrottleReasonGpuIdle = 0x0000000000000001
nvmlClocksThrottleReasonApplicationsClocksSetting = 0x0000000000000002
nvmlClocksThrottleReasonUserDefinedClocks = nvmlClocksThrottleReasonApplicationsClocksSetting # deprecated, use nvmlClocksThrottleReasonApplicationsClocksSetting
nvmlClocksThrottleReasonSwPowerCap = 0x0000000000000004
nvmlClocksThrottleReasonHwSlowdown = 0x0000000000000008
nvmlClocksThrottleReasonUnknown = 0x8000000000000000
nvmlClocksThrottleReasonNone = 0x0000000000000000
nvmlClocksThrottleReasonAll = (
nvmlClocksThrottleReasonNone
| nvmlClocksThrottleReasonGpuIdle
| nvmlClocksThrottleReasonApplicationsClocksSetting
| nvmlClocksThrottleReasonSwPowerCap
| nvmlClocksThrottleReasonHwSlowdown
| nvmlClocksThrottleReasonUnknown
)
class c_nvmlEventData_t(PrintableStructure):
_fields_ = [
("device", c_nvmlDevice_t),
("eventType", c_ulonglong),
("eventData", c_ulonglong),
]
_fmt_ = {"eventType": "0x%08X"}
class c_nvmlAccountingStats_t(PrintableStructure):
_fields_ = [
("gpuUtilization", c_uint),
("memoryUtilization", c_uint),
("maxMemoryUsage", c_ulonglong),
("time", c_ulonglong),
("startTime", c_ulonglong),
("isRunning", c_uint),
("reserved", c_uint * 5),
]
class c_nvmlPciInfo_t(PrintableStructure):
_fields_ = [
("bus", c_uint),
("busId", c_char * 16),
("busIdLegacy", c_char * 16),
("device", c_uint),
("domain", c_uint),
("pciDeviceId", c_uint),
("pciSubSystemId", c_uint),
]
_fmt_ = {
"domain": "0x%04X",
"bus": "0x%02X",
"device": "0x%02X",
"pciDeviceId": "0x%08X",
"pciSubSystemId": "0x%08X",
}
## ========================================================================== ##
## ##
## NVML Library Function Wrappers ##
## ##
## ========================================================================== ##
def nvmlInit():
"""Initialize NVML.
Uses nvmlInit_v2() from the underlying NVML library.
Args:
None
Returns:
None
"""
def _load_nvml_library():
"""
Load the library if it isn't loaded already
"""
global nvml_lib
if nvml_lib == None:
# lock to ensure only one caller loads the library
lib_load_lock.acquire()
try:
# ensure the library still isn't loaded
if nvml_lib == None:
if sys.platform[:3] == "win":
# cdecl calling convention
# load nvml.dll from %ProgramFiles%/NVIDIA Corporation/NVSMI/nvml.dll or try other paths
search_paths = [
os.path.join(
os.getenv("ProgramFiles", "C:/Program Files"),
"NVIDIA Corporation/NVSMI/nvml.dll",
),
os.path.join("C:/Windows", "System32", "nvml.dll"),
]
nvml_path = os.getenv("NVML_DLL_PATH")
if nvml_path:
search_paths.append(nvml_path)
for path in search_paths:
try:
nvml_lib = CDLL(path)
except OSError:
continue
break
else:
# assume linux
try:
nvml_lib = CDLL("libnvidia-ml.so.1")
except OSError:
check_return(NVML_ERROR_LIBRARY_NOT_FOUND)
if nvml_lib == None:
check_return(NVML_ERROR_LIBRARY_NOT_FOUND)
finally:
# lock is always freed
lib_load_lock.release()
_load_nvml_library()
#
# Initialize the library
#
fn = get_func_pointer("nvmlInit_v2")
ret = fn()
check_return(ret)
# Atomically update refcount
global nvml_lib_refcount
lib_load_lock.acquire()
nvml_lib_refcount += 1
lib_load_lock.release()
return None
def nvmlShutdown():
"""Shutdown NVML.
Uses nvmlShutdown() from the underlying NVML library.
Args:
None
Returns:
None
"""
#
# Leave the library loaded, but shutdown the interface
#
fn = get_func_pointer("nvmlShutdown")
ret = fn()
check_return(ret)
# Atomically update refcount
global nvml_lib_refcount
lib_load_lock.acquire()
if 0 < nvml_lib_refcount:
nvml_lib_refcount -= 1
lib_load_lock.release()
return None
# Added in 2.285
def nvml_error_string(result):
fn = get_func_pointer("nvmlErrorString")
fn.restype = c_char_p # otherwise return is an int
ret = fn(result)
return ret
# Added in 2.285
def nvmlSystemGetNVMLVersion():
c_version = create_string_buffer(NVML_SYSTEM_NVML_VERSION_BUFFER_SIZE)
fn = get_func_pointer("nvmlSystemGetNVMLVersion")
ret = fn(c_version, c_uint(NVML_SYSTEM_NVML_VERSION_BUFFER_SIZE))
check_return(ret)
return c_version.value
# Added in 2.285
def nvmlSystemGetProcessName(pid):
c_name = create_string_buffer(1024)
fn = get_func_pointer("nvmlSystemGetProcessName")
ret = fn(c_uint(pid), c_name, c_uint(1024))
check_return(ret)
return c_name.value
def nvmlSystemGetDriverVersion():
c_version = create_string_buffer(NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE)
fn = get_func_pointer("nvmlSystemGetDriverVersion")
ret = fn(c_version, c_uint(NVML_SYSTEM_DRIVER_VERSION_BUFFER_SIZE))
check_return(ret)
return c_version.value
# Added in 2.285
def nvmlSystemGetHicVersion():
c_count = c_uint(0)
hics = None
fn = get_func_pointer("nvmlSystemGetHicVersion")
# get the count
ret = fn(byref(c_count), None)
# this should only fail with insufficient size
if (ret != NVML_SUCCESS) and (ret != NVML_ERROR_INSUFFICIENT_SIZE):
raise NVMLError(ret)
# if there are no hics
if c_count.value == 0:
return []
hic_array = c_nvmlHwbcEntry_t * c_count.value
hics = hic_array()
ret = fn(byref(c_count), hics)
check_return(ret)
return hics
## Unit get functions
def nvmlUnitGetCount():
c_count = c_uint()
fn = get_func_pointer("nvmlUnitGetCount")
ret = fn(byref(c_count))
check_return(ret)
return c_count.value
def nvmlUnitGetHandleByIndex(index):
c_index = c_uint(index)
unit = c_nvmlUnit_t()
fn = get_func_pointer("nvmlUnitGetHandleByIndex")
ret = fn(c_index, byref(unit))
check_return(ret)
return unit
def nvmlUnitGetUnitInfo(unit):
c_info = c_nvmlUnitInfo_t()
fn = get_func_pointer("nvmlUnitGetUnitInfo")
ret = fn(unit, byref(c_info))
check_return(ret)
return c_info
def nvmlUnitGetLedState(unit):
c_state = c_nvmlLedState_t()
fn = get_func_pointer("nvmlUnitGetLedState")
ret = fn(unit, byref(c_state))
check_return(ret)
return c_state
def nvmlUnitGetPsuInfo(unit):
c_info = c_nvmlPSUInfo_t()
fn = get_func_pointer("nvmlUnitGetPsuInfo")
ret = fn(unit, byref(c_info))
check_return(ret)
return c_info
def nvmlUnitGetTemperature(unit, type):
c_temp = c_uint()
fn = get_func_pointer("nvmlUnitGetTemperature")
ret = fn(unit, c_uint(type), byref(c_temp))
check_return(ret)
return c_temp.value
def nvmlUnitGetFanSpeedInfo(unit):
c_speeds = c_nvmlUnitFanSpeeds_t()
fn = get_func_pointer("nvmlUnitGetFanSpeedInfo")
ret = fn(unit, byref(c_speeds))
check_return(ret)
return c_speeds
# added to API
def nvmlUnitGetDeviceCount(unit):
c_count = c_uint(0)
# query the unit to determine device count
fn = get_func_pointer("nvmlUnitGetDevices")
ret = fn(unit, byref(c_count), None)
if ret == NVML_ERROR_INSUFFICIENT_SIZE:
ret = NVML_SUCCESS
check_return(ret)
return c_count.value
def nvmlUnitGetDevices(unit):
c_count = c_uint(nvmlUnitGetDeviceCount(unit))
device_array = c_nvmlDevice_t * c_count.value
c_devices = device_array()
fn = get_func_pointer("nvmlUnitGetDevices")
ret = fn(unit, byref(c_count), c_devices)
check_return(ret)
return c_devices
## Device get functions
def nvmlDeviceGetCount():
c_count = c_uint()
fn = get_func_pointer("nvmlDeviceGetCount_v2")
ret = fn(byref(c_count))
check_return(ret)
return c_count.value
def nvmlDeviceGetHandleByIndex(index):
c_index = c_uint(index)
device = c_nvmlDevice_t()
fn = get_func_pointer("nvmlDeviceGetHandleByIndex_v2")