Files
rocm-systems/amdsmi_cli/amdsmi_commands.py
T
Maisam Arif 6441abdc1a SWDEV-425887 - Corrected vbios population
Signed-off-by: Maisam Arif <maisarif@amd.com>
Change-Id: I3728064c77fae8cfa006254769a2cc821b4d5362
2023-11-14 11:56:43 -05:00

2242 líneas
112 KiB
Python

#!/usr/bin/env python3
#
# Copyright (C) 2023 Advanced Micro Devices. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
# the Software, and to permit persons to whom the Software is furnished to do so,
# subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
# FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
# COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
# IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
#
import logging
import sys
import threading
import time
from _version import __version__
from amdsmi_helpers import AMDSMIHelpers
from amdsmi_logger import AMDSMILogger
from amdsmi_cli_exceptions import AmdSmiRequiredCommandException
from amdsmi import amdsmi_interface
from amdsmi import amdsmi_exception
class AMDSMICommands():
"""This class contains all the commands corresponding to AMDSMIParser
Each command function will interact with AMDSMILogger to handle
displaying the output to the specified format and destination.
"""
def __init__(self, format='human_readable', destination='stdout') -> None:
self.helpers = AMDSMIHelpers()
self.logger = AMDSMILogger(format=format, destination=destination)
try:
self.device_handles = amdsmi_interface.amdsmi_get_processor_handles()
except amdsmi_exception.AmdSmiLibraryException as e:
if e.err_code in (amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NOT_INIT,
amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_DRIVER_NOT_LOADED):
logging.error('Unable to get devices, driver not initialized (amdgpu not found in modules)')
sys.exit(-1)
else:
raise e
if len(self.device_handles) == 0:
logging.error('Unable to detect any devices, check if driver is initialized (amdgpu not found in modules)')
sys.exit(-1)
self.stop = ''
def version(self, args):
"""Print Version String
Args:
args (Namespace): Namespace containing the parsed CLI args
"""
try:
amdsmi_lib_version = amdsmi_interface.amdsmi_get_lib_version()
amdsmi_lib_version_str = f"{amdsmi_lib_version['year']}.{amdsmi_lib_version['major']}.{amdsmi_lib_version['minor']}.{amdsmi_lib_version['release']}"
except amdsmi_exception.AmdSmiLibraryException as e:
amdsmi_lib_version_str = e.get_error_info()
self.logger.output['tool'] = 'AMDSMI Tool'
self.logger.output['version'] = f'{__version__}'
self.logger.output['amdsmi_library_version'] = f'{amdsmi_lib_version_str}'
if self.logger.is_human_readable_format():
print(f'AMDSMI Tool: {__version__} | '\
f'AMDSMI Library version: {amdsmi_lib_version_str}')
elif self.logger.is_json_format() or self.logger.is_csv_format():
self.logger.print_output()
def list(self, args, multiple_devices=False, gpu=None):
"""List information for target gpu
Args:
args (Namespace): Namespace containing the parsed CLI args
multiple_devices (bool, optional): True if checking for multiple devices. Defaults to False.
gpu (device_handle, optional): device_handle for target device. Defaults to None.
Raises:
IndexError: Index error if gpu list is empty
Returns:
None: Print output via AMDSMILogger to destination
"""
# Set args.* to passed in arguments
if gpu:
args.gpu = gpu
# Handle No GPU passed
if args.gpu == None:
args.gpu = self.device_handles
# Handle multiple GPUs
handled_multiple_gpus, device_handle = self.helpers.handle_gpus(args, self.logger, self.list)
if handled_multiple_gpus:
return # This function is recursive
args.gpu = device_handle
try:
bdf = amdsmi_interface.amdsmi_get_gpu_device_bdf(args.gpu)
except amdsmi_exception.AmdSmiLibraryException as e:
bdf = e.get_error_info()
try:
uuid = amdsmi_interface.amdsmi_get_gpu_device_uuid(args.gpu)
except amdsmi_exception.AmdSmiLibraryException as e:
uuid = e.get_error_info()
# Store values based on format
if self.logger.is_human_readable_format():
self.logger.store_output(args.gpu, 'AMDSMI_SPACING_REMOVAL', {'bdf':bdf, 'uuid':uuid})
else:
self.logger.store_output(args.gpu, 'bdf', bdf)
self.logger.store_output(args.gpu, 'uuid', uuid)
if multiple_devices:
self.logger.store_multiple_device_output()
return # Skip printing when there are multiple devices
self.logger.print_output()
def static(self, args, multiple_devices=False, gpu=None, asic=None,
bus=None, vbios=None, limit=None, driver=None, ras=None,
board=None, numa=None, vram=None, cache=None, partition=None,
dfc_ucode=None, fb_info=None, num_vf=None):
"""Get Static information for target gpu
Args:
args (Namespace): Namespace containing the parsed CLI args
multiple_devices (bool, optional): True if checking for multiple devices. Defaults to False.
gpu (device_handle, optional): device_handle for target device. Defaults to None.
asic (bool, optional): Value override for args.asic. Defaults to None.
bus (bool, optional): Value override for args.bus. Defaults to None.
vbios (bool, optional): Value override for args.vbios. Defaults to None.
limit (bool, optional): Value override for args.limit. Defaults to None.
driver (bool, optional): Value override for args.driver. Defaults to None.
ras (bool, optional): Value override for args.ras. Defaults to None.
board (bool, optional): Value override for args.board. Defaults to None.
numa (bool, optional): Value override for args.numa. Defaults to None.
vram (bool, optional): Value override for args.vram. Defaults to None.
cache (bool, optional): Value override for args.cache. Defaults to None.
partition (bool, optional): Value override for args.partition. Defaults to None.
dfc_ucode (bool, optional): Value override for args.dfc_ucode. Defaults to None.
fb_info (bool, optional): Value override for args.fb_info. Defaults to None.
num_vf (bool, optional): Value override for args.num_vf. Defaults to None.
Raises:
IndexError: Index error if gpu list is empty
Returns:
None: Print output via AMDSMILogger to destination
"""
# Set args.* to passed in arguments
if gpu:
args.gpu = gpu
if asic:
args.asic = asic
if bus:
args.bus = bus
if vbios:
args.vbios = vbios
if board:
args.board = board
if driver:
args.driver = driver
if vram:
args.vram = vram
if cache:
args.cache = cache
# Store args that are applicable to the current platform
current_platform_args = ["asic", "bus", "vbios", "driver", "vram", "cache", "board"]
current_platform_values = [args.asic, args.bus, args.vbios, args.driver, args.vram, args.cache, args.board]
if self.helpers.is_linux() and self.helpers.is_baremetal():
if ras:
args.ras = ras
if partition:
args.partition = partition
if limit:
args.limit = limit
current_platform_args += ["ras", "limit", "partition"]
current_platform_values += [args.ras, args.limit, args.partition]
if self.helpers.is_linux() and not self.helpers.is_virtual_os():
if numa:
args.numa = numa
current_platform_args += ["numa"]
current_platform_values += [args.numa]
if self.helpers.is_hypervisor():
if dfc_ucode:
args.dfc_ucode = dfc_ucode
if fb_info:
args.fb_info = fb_info
if num_vf:
args.num_vf = num_vf
current_platform_args += ["dfc_ucode", "fb_info", "num_vf"]
current_platform_values += [args.dfc_ucode, args.fb_info, args.num_vf]
# Handle No GPU passed
if args.gpu == None:
args.gpu = self.device_handles
# Handle multiple GPUs
handled_multiple_gpus, device_handle = self.helpers.handle_gpus(args, self.logger, self.static)
if handled_multiple_gpus:
return # This function is recursive
args.gpu = device_handle
# Get gpu_id for logging
gpu_id = self.helpers.get_gpu_id_from_device_handle(args.gpu)
logging.debug(f"Static Arg information for GPU {gpu_id} on {self.helpers.os_info()}")
logging.debug(f"Applicable Args: {current_platform_args}")
logging.debug(f"Arg Values: {current_platform_values}")
# Set the platform applicable args to True if no args are set
if not any(current_platform_values):
for arg in current_platform_args:
setattr(args, arg, True)
static_dict = {}
if args.asic:
try:
asic_info = amdsmi_interface.amdsmi_get_gpu_asic_info(args.gpu)
asic_info['vendor_id'] = hex(asic_info['vendor_id'])
asic_info['vendor_name'] = asic_info['vendor_name'].replace(',', '')
asic_info['device_id'] = hex(asic_info['device_id'])
asic_info['rev_id'] = hex(asic_info['rev_id'])
if asic_info['asic_serial'] != '':
asic_info['asic_serial'] = hex(int(asic_info['asic_serial'], base=16))
if asic_info['xgmi_physical_id'] == 0xFFFF: # uint 16 max
asic_info['xgmi_physical_id'] = "N/A"
static_dict['asic'] = asic_info
except amdsmi_exception.AmdSmiLibraryException as e:
static_dict['asic'] = "N/A"
logging.debug("Failed to get asic info for gpu %s | %s", gpu_id, e.get_error_info())
if args.bus:
bus_info = {}
try:
bus_info['bdf'] = amdsmi_interface.amdsmi_get_gpu_device_bdf(args.gpu)
except amdsmi_exception.AmdSmiLibraryException as e:
bus_info['bdf'] = "N/A"
logging.debug("Failed to get bdf for gpu %s | %s", gpu_id, e.get_error_info())
try:
link_caps = amdsmi_interface.amdsmi_get_pcie_link_caps(args.gpu)
bus_info.update(link_caps)
if bus_info['max_pcie_speed'] % 1000 != 0:
pcie_speed_GTs_value = round(bus_info['max_pcie_speed'] / 1000, 1)
else:
pcie_speed_GTs_value = round(bus_info['max_pcie_speed'] / 1000)
bus_info['max_pcie_speed'] = pcie_speed_GTs_value
slot_type = bus_info.pop('pcie_slot_type')
if isinstance(slot_type, int):
slot_types = amdsmi_interface.amdsmi_wrapper.amdsmi_pcie_slot_type_t__enumvalues
if slot_type in slot_types:
bus_info['slot_type'] = slot_types[slot_type].replace("AMDSMI_SLOT_TYPE__", "")
else:
bus_info['slot_type'] = "Unknown"
else:
bus_info['slot_type'] = "N/A"
if self.logger.is_human_readable_format():
unit ='GT/s'
bus_info['max_pcie_speed'] = f"{bus_info['max_pcie_speed']} {unit}"
if bus_info['pcie_interface_version'] > 0:
bus_info['pcie_interface_version'] = f"Gen {bus_info['pcie_interface_version']}"
except amdsmi_exception.AmdSmiLibraryException as e:
bus_info = "N/A"
logging.debug("Failed to get bus info for gpu %s | %s", gpu_id, e.get_error_info())
static_dict['bus'] = bus_info
if args.vbios:
try:
vbios_info = amdsmi_interface.amdsmi_get_gpu_vbios_info(args.gpu)
for key, value in vbios_info.items():
if isinstance(value, str):
if value.strip() == '':
vbios_info[key] = "N/A"
static_dict['vbios'] = vbios_info
except amdsmi_exception.AmdSmiLibraryException as e:
static_dict['vbios'] = "N/A"
logging.debug("Failed to get vbios info for gpu %s | %s", gpu_id, e.get_error_info())
if args.board:
static_dict['board'] = {"model_number": "N/A",
"product_serial": "N/A",
"fru_id": "N/A",
"manufacturer_name": "N/A",
"product_name": "N/A"}
try:
board_info = amdsmi_interface.amdsmi_get_gpu_board_info(args.gpu)
for key, value in board_info.items():
if isinstance(value, str):
if value.strip() == '':
board_info[key] = "N/A"
static_dict['board'] = board_info
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get board info for gpu %s | %s", gpu_id, e.get_error_info())
if 'limit' in current_platform_args:
if args.limit:
# Power limits
try:
power_limit_error = False
power_cap_info = amdsmi_interface.amdsmi_get_power_cap_info(args.gpu)
max_power_limit = power_cap_info['max_power_cap']
current_power_limit = power_cap_info['power_cap']
except amdsmi_exception.AmdSmiLibraryException as e:
power_limit_error = True
max_power_limit = "N/A"
current_power_limit = "N/A"
logging.debug("Failed to get power cap info for gpu %s | %s", gpu_id, e.get_error_info())
# Edge temperature limits
try:
slowdown_temp_edge_limit_error = False
slowdown_temp_edge_limit = amdsmi_interface.amdsmi_get_temp_metric(args.gpu,
amdsmi_interface.AmdSmiTemperatureType.EDGE, amdsmi_interface.AmdSmiTemperatureMetric.CRITICAL)
except amdsmi_exception.AmdSmiLibraryException as e:
slowdown_temp_edge_limit_error = True
slowdown_temp_edge_limit = "N/A"
logging.debug("Failed to get edge temperature slowdown metric for gpu %s | %s", gpu_id, e.get_error_info())
if slowdown_temp_edge_limit == 0:
slowdown_temp_edge_limit_error = True
slowdown_temp_edge_limit = "N/A"
try:
shutdown_temp_edge_limit_error = False
shutdown_temp_edge_limit = amdsmi_interface.amdsmi_get_temp_metric(args.gpu,
amdsmi_interface.AmdSmiTemperatureType.EDGE, amdsmi_interface.AmdSmiTemperatureMetric.EMERGENCY)
except amdsmi_exception.AmdSmiLibraryException as e:
shutdown_temp_edge_limit_error = True
shutdown_temp_edge_limit = "N/A"
logging.debug("Failed to get edge temperature shutdown metrics for gpu %s | %s", gpu_id, e.get_error_info())
if shutdown_temp_edge_limit == 0:
shutdown_temp_edge_limit_error = True
shutdown_temp_edge_limit = "N/A"
# Hotspot/Junction temperature limits
try:
slowdown_temp_hotspot_limit_error = False
slowdown_temp_hotspot_limit = amdsmi_interface.amdsmi_get_temp_metric(args.gpu,
amdsmi_interface.AmdSmiTemperatureType.HOTSPOT, amdsmi_interface.AmdSmiTemperatureMetric.CRITICAL)
except amdsmi_exception.AmdSmiLibraryException as e:
slowdown_temp_hotspot_limit_error = True
slowdown_temp_hotspot_limit = "N/A"
logging.debug("Failed to get hotspot temperature slowdown metrics for gpu %s | %s", gpu_id, e.get_error_info())
try:
shutdown_temp_hotspot_limit_error = False
shutdown_temp_hotspot_limit = amdsmi_interface.amdsmi_get_temp_metric(args.gpu,
amdsmi_interface.AmdSmiTemperatureType.HOTSPOT, amdsmi_interface.AmdSmiTemperatureMetric.EMERGENCY)
except amdsmi_exception.AmdSmiLibraryException as e:
shutdown_temp_hotspot_limit_error = True
shutdown_temp_hotspot_limit = "N/A"
logging.debug("Failed to get hotspot temperature shutdown metrics for gpu %s | %s", gpu_id, e.get_error_info())
# VRAM temperature limits
try:
slowdown_temp_vram_limit_error = False
slowdown_temp_vram_limit = amdsmi_interface.amdsmi_get_temp_metric(args.gpu,
amdsmi_interface.AmdSmiTemperatureType.VRAM, amdsmi_interface.AmdSmiTemperatureMetric.CRITICAL)
except amdsmi_exception.AmdSmiLibraryException as e:
slowdown_temp_vram_limit_error = True
slowdown_temp_vram_limit = "N/A"
logging.debug("Failed to get vram temperature slowdown metrics for gpu %s | %s", gpu_id, e.get_error_info())
try:
shutdown_temp_vram_limit_error = False
shutdown_temp_vram_limit = amdsmi_interface.amdsmi_get_temp_metric(args.gpu,
amdsmi_interface.AmdSmiTemperatureType.VRAM, amdsmi_interface.AmdSmiTemperatureMetric.EMERGENCY)
except amdsmi_exception.AmdSmiLibraryException as e:
shutdown_temp_vram_limit_error = True
shutdown_temp_vram_limit = "N/A"
logging.debug("Failed to get vram temperature shutdown metrics for gpu %s | %s", gpu_id, e.get_error_info())
if self.logger.is_human_readable_format():
unit = 'W'
if not power_limit_error:
max_power_limit = f"{max_power_limit} {unit}"
current_power_limit = f"{current_power_limit} {unit}"
unit = '\N{DEGREE SIGN}C'
if not slowdown_temp_edge_limit_error:
slowdown_temp_edge_limit = f"{slowdown_temp_edge_limit} {unit}"
if not slowdown_temp_hotspot_limit_error:
slowdown_temp_hotspot_limit = f"{slowdown_temp_hotspot_limit} {unit}"
if not slowdown_temp_vram_limit_error:
slowdown_temp_vram_limit = f"{slowdown_temp_vram_limit} {unit}"
if not shutdown_temp_edge_limit_error:
shutdown_temp_edge_limit = f"{shutdown_temp_edge_limit} {unit}"
if not shutdown_temp_hotspot_limit_error:
shutdown_temp_hotspot_limit = f"{shutdown_temp_hotspot_limit} {unit}"
if not shutdown_temp_vram_limit_error:
shutdown_temp_vram_limit = f"{shutdown_temp_vram_limit} {unit}"
limit_info = {}
# Power limits
limit_info['max_power'] = max_power_limit
limit_info['current_power'] = current_power_limit
# Shutdown limits
limit_info['slowdown_edge_temperature'] = slowdown_temp_edge_limit
limit_info['slowdown_hotspot_temperature'] = slowdown_temp_hotspot_limit
limit_info['slowdown_vram_temperature'] = slowdown_temp_vram_limit
limit_info['shutdown_edge_temperature'] = shutdown_temp_edge_limit
limit_info['shutdown_hotspot_temperature'] = shutdown_temp_hotspot_limit
limit_info['shutdown_vram_temperature'] = shutdown_temp_vram_limit
static_dict['limit'] = limit_info
if args.driver:
driver_info = {"driver_name" : "N/A",
"driver_version" : "N/A",
"driver_date" : "N/A"}
try:
driver_info = amdsmi_interface.amdsmi_get_gpu_driver_info(args.gpu)
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get driver info for gpu %s | %s", gpu_id, e.get_error_info())
static_dict['driver'] = driver_info
if args.vram:
try:
vram_info = amdsmi_interface.amdsmi_get_gpu_vram_info(args.gpu)
# Get vram type string
vram_type_enum = vram_info['vram_type']
if vram_type_enum == amdsmi_interface.amdsmi_wrapper.VRAM_TYPE_GDDR6:
vram_type = "GDDR6"
else:
vram_type = amdsmi_interface.amdsmi_wrapper.amdsmi_vram_type_t__enumvalues[vram_type_enum]
# Remove amdsmi enum prefix
vram_type = vram_type.replace('VRAM_TYPE_', '').replace('_', '')
# Get vram vendor string
vram_vendor_enum = vram_info['vram_vendor']
vram_vendor = amdsmi_interface.amdsmi_wrapper.amdsmi_vram_vendor_type_t__enumvalues[vram_vendor_enum]
if "PLACEHOLDER" in vram_vendor:
vram_vendor = "N/A"
else:
# Remove amdsmi enum prefix
vram_vendor = vram_vendor.replace('AMDSMI_VRAM_VENDOR__', '')
vram_info['vram_type'] = vram_type
vram_info['vram_vendor'] = vram_vendor
if self.logger.is_human_readable_format():
vram_info['vram_size_mb'] = f"{vram_info['vram_size_mb']} MB"
except amdsmi_exception.AmdSmiLibraryException as e:
vram_info = "N/A"
logging.debug("Failed to get vram info for gpu %s | %s", gpu_id, e.get_error_info())
static_dict['vram'] = vram_info
if args.cache:
try:
cache_info = amdsmi_interface.amdsmi_get_gpu_cache_info(args.gpu)
for cache_key, cache_dict in cache_info.items():
for key, value in cache_dict.items():
if key == 'cache_size' or key == 'cache_level':
continue
if value:
cache_info[cache_key][key] = "ENABLED"
else:
cache_info[cache_key][key] = "DISABLED"
if self.logger.is_human_readable_format():
for _ , cache_values in cache_info.items():
cache_values['cache_size'] = f"{cache_values['cache_size']} KB"
except amdsmi_exception.AmdSmiLibraryException as e:
cache_info = "N/A"
logging.debug("Failed to get cache info for gpu %s | %s", gpu_id, e.get_error_info())
static_dict['cache'] = cache_info
if 'ras' in current_platform_args:
if args.ras:
ras_dict = {"eeprom_version": "N/A",
"parity_schema" : "N/A",
"single_bit_schema" : "N/A",
"double_bit_schema" : "N/A",
"poison_schema" : "N/A",
"ecc_block_state": "N/A"}
try:
ras_info = amdsmi_interface.amdsmi_get_gpu_ras_feature_info(args.gpu)
for key, value in ras_info.items():
if isinstance(value, int):
if value == 65535 or value == 0:
logging.debug(f"Failed to get ras {key} for gpu {gpu_id}")
ras_info[key] = "N/A"
continue
if self.logger.is_human_readable_format():
ras_info[key] = f"{value}"
ras_dict.update(ras_info)
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get ras info for gpu %s | %s", gpu_id, e.get_error_info())
try:
ras_dict["ecc_block_state"] = amdsmi_interface.amdsmi_get_gpu_ras_block_features_enabled(args.gpu)
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get ras block features for gpu %s | %s", gpu_id, e.get_error_info())
static_dict["ras"] = ras_dict
if 'partition' in current_platform_args:
if args.partition:
try:
compute_partition = amdsmi_interface.amdsmi_dev_compute_partition_get(args.gpu)
except amdsmi_exception.AmdSmiLibraryException as e:
compute_partition = "N/A"
logging.debug("Failed to get compute partition info for gpu %s | %s", gpu_id, e.get_error_info())
try:
memory_partition = amdsmi_interface.amdsmi_dev_memory_partition_get(args.gpu)
except amdsmi_exception.AmdSmiLibraryException as e:
memory_partition = "N/A"
logging.debug("Failed to get memory partition info for gpu %s | %s", gpu_id, e.get_error_info())
static_dict['partition'] = {"compute_partition": compute_partition,
"memory_partition": memory_partition}
if 'numa' in current_platform_args:
if args.numa:
try:
numa_node_number = amdsmi_interface.amdsmi_topo_get_numa_node_number(args.gpu)
except amdsmi_exception.AmdSmiLibraryException as e:
numa_node_number = "N/A"
logging.debug("Failed to get numa node number for gpu %s | %s", gpu_id, e.get_error_info())
try:
numa_affinity = amdsmi_interface.amdsmi_get_gpu_topo_numa_affinity(args.gpu)
# -1 means No numa node is assigned to the GPU, so there is no numa affinity
if self.logger.is_human_readable_format() and numa_affinity == -1:
numa_affinity = "NONE"
except amdsmi_exception.AmdSmiLibraryException as e:
numa_affinity = "N/A"
logging.debug("Failed to get numa affinity for gpu %s | %s", gpu_id, e.get_error_info())
static_dict['numa'] = {'node' : numa_node_number,
'affinity' : numa_affinity}
multiple_devices_csv_override = False
# Convert and store output by pid for csv format
if self.logger.is_csv_format():
# expand if ras blocks are populated
if self.helpers.is_linux() and self.helpers.is_baremetal() and args.ras:
if isinstance(static_dict['ras']['ecc_block_state'], list):
ecc_block_dicts = static_dict['ras'].pop('ecc_block_state')
multiple_devices_csv_override = True
for ecc_block_dict in ecc_block_dicts:
for key, value in ecc_block_dict.items():
self.logger.store_output(args.gpu, key, value)
self.logger.store_output(args.gpu, 'values', static_dict)
self.logger.store_multiple_device_output()
else:
# Store values if ras has an error
self.logger.store_output(args.gpu, 'values', static_dict)
if self.helpers.is_linux() and self.helpers.is_virtual_os():
self.logger.store_output(args.gpu, 'values', static_dict)
else:
self.logger.store_output(args.gpu, 'values', static_dict)
else:
# Store values in logger.output
self.logger.store_output(args.gpu, 'values', static_dict)
if multiple_devices:
self.logger.store_multiple_device_output()
return # Skip printing when there are multiple devices
self.logger.print_output(multiple_device_enabled=multiple_devices_csv_override)
def firmware(self, args, multiple_devices=False, gpu=None, fw_list=True):
""" Get Firmware information for target gpu
Args:
args (Namespace): Namespace containing the parsed CLI args
multiple_devices (bool, optional): True if checking for multiple devices. Defaults to False.
gpu (device_handle, optional): device_handle for target device. Defaults to None.
fw_list (bool, optional): True to get list of all firmware information
Raises:
IndexError: Index error if gpu list is empty
Returns:
None: Print output via AMDSMILogger to destination
"""
if gpu:
args.gpu = gpu
if fw_list:
args.fw_list = fw_list
# Handle No GPU passed
if args.gpu == None:
args.gpu = self.device_handles
# Handle multiple GPUs
handled_multiple_gpus, device_handle = self.helpers.handle_gpus(args, self.logger, self.firmware)
if handled_multiple_gpus:
return # This function is recursive
args.gpu = device_handle
fw_list = {}
# Get gpu_id for logging
gpu_id = self.helpers.get_gpu_id_from_device_handle(args.gpu)
if args.fw_list:
try:
fw_info = amdsmi_interface.amdsmi_get_fw_info(args.gpu)
for fw_index, fw_entry in enumerate(fw_info['fw_list']):
# Change fw_name to fw_id
fw_entry['fw_id'] = fw_entry.pop('fw_name').name.replace("FW_ID_", "")
fw_entry['fw_version'] = fw_entry.pop('fw_version') # popping to ensure order
# Add custom human readable formatting
if self.logger.is_human_readable_format():
fw_info['fw_list'][fw_index] = {f'FW {fw_index}': fw_entry}
else:
fw_info['fw_list'][fw_index] = fw_entry
fw_list.update(fw_info)
except amdsmi_exception.AmdSmiLibraryException as e:
fw_list['fw_list'] = "N/A"
logging.debug("Failed to get firmware info for gpu %s | %s", gpu_id, e.get_error_info())
multiple_devices_csv_override = False
# Convert and store output by pid for csv format
if self.logger.is_csv_format():
fw_key = 'fw_list'
for fw_info_dict in fw_list[fw_key]:
for key, value in fw_info_dict.items():
multiple_devices_csv_override = True
self.logger.store_output(args.gpu, key, value)
self.logger.store_multiple_device_output()
else:
# Store values in logger.output
self.logger.store_output(args.gpu, 'values', fw_list)
if multiple_devices:
self.logger.store_multiple_device_output()
return # Skip printing when there are multiple devices
self.logger.print_output(multiple_device_enabled=multiple_devices_csv_override)
def bad_pages(self, args, multiple_devices=False, gpu=None, retired=None, pending=None, un_res=None):
""" Get bad pages information for target gpu
Args:
args (Namespace): Namespace containing the parsed CLI args
multiple_devices (bool, optional): True if checking for multiple devices. Defaults to False.
gpu (device_handle, optional): device_handle for target device. Defaults to None.
retired (bool, optional) - Value override for args.retired
pending (bool, optional) - Value override for args.pending/
un_res (bool, optional) - Value override for args.un_res
Raises:
IndexError: Index error if gpu list is empty
Returns:
None: Print output via AMDSMILogger to destination
"""
# Set args.* to passed in arguments
if gpu:
args.gpu = gpu
if retired:
args.retired = retired
if pending:
args.pending = pending
if un_res:
args.un_res = un_res
# Handle No GPU passed
if args.gpu == None:
args.gpu = self.device_handles
# Handle multiple GPUs
handled_multiple_gpus, device_handle = self.helpers.handle_gpus(args, self.logger, self.bad_pages)
if handled_multiple_gpus:
return # This function is recursive
args.gpu = device_handle
# If all arguments are False, the print all bad_page information
if not any([args.retired, args.pending, args.un_res]):
args.retired = args.pending = args.un_res = True
values_dict = {}
# Get gpu_id for logging
gpu_id = self.helpers.get_gpu_id_from_device_handle(args.gpu)
try:
bad_page_info = amdsmi_interface.amdsmi_get_gpu_bad_page_info(args.gpu)
except amdsmi_exception.AmdSmiLibraryException as e:
bad_page_info = "N/A"
logging.debug("Failed to get bad page info for gpu %s | %s", gpu_id, e.get_error_info())
if bad_page_info == "N/A" or bad_page_info == "No bad pages found.":
bad_page_error = True
if args.retired:
if bad_page_error:
values_dict['retired'] = bad_page_info
else:
bad_page_info_output = []
for bad_page in bad_page_info:
if bad_page["status"] == amdsmi_interface.AmdSmiMemoryPageStatus.RESERVED:
bad_page_info_entry = {}
bad_page_info_entry["page_address"] = bad_page["page_address"]
bad_page_info_entry["page_size"] = bad_page["page_size"]
bad_page_info_entry["status"] = bad_page["status"].name
bad_page_info_output.append(bad_page_info_entry)
# Remove brackets if there is only one value
if len(bad_page_info_output) == 1:
bad_page_info_output = bad_page_info_output[0]
values_dict['retired'] = bad_page_info_output
if args.pending:
if bad_page_error:
values_dict['pending'] = bad_page_info
else:
bad_page_info_output = []
for bad_page in bad_page_info:
if bad_page["status"] == amdsmi_interface.AmdSmiMemoryPageStatus.PENDING:
bad_page_info_entry = {}
bad_page_info_entry["page_address"] = bad_page["page_address"]
bad_page_info_entry["page_size"] = bad_page["page_size"]
bad_page_info_entry["status"] = bad_page["status"].name
bad_page_info_output.append(bad_page_info_entry)
# Remove brackets if there is only one value
if len(bad_page_info_output) == 1:
bad_page_info_output = bad_page_info_output[0]
values_dict['pending'] = bad_page_info_output
if args.un_res:
if bad_page_error:
values_dict['un_res'] = bad_page_info
else:
bad_page_info_output = []
for bad_page in bad_page_info:
if bad_page["status"] == amdsmi_interface.AmdSmiMemoryPageStatus.UNRESERVABLE:
bad_page_info_entry = {}
bad_page_info_entry["page_address"] = bad_page["page_address"]
bad_page_info_entry["page_size"] = bad_page["page_size"]
bad_page_info_entry["status"] = bad_page["status"].name
bad_page_info_output.append(bad_page_info_entry)
# Remove brackets if there is only one value
if len(bad_page_info_output) == 1:
bad_page_info_output = bad_page_info_output[0]
values_dict['un_res'] = bad_page_info_output
# Store values in logger.output
self.logger.store_output(args.gpu, 'values', values_dict)
if multiple_devices:
self.logger.store_multiple_device_output()
return # Skip printing when there are multiple devices
self.logger.print_output()
def metric(self, args, multiple_devices=False, watching_output=False, gpu=None,
usage=None, watch=None, watch_time=None, iterations=None, power=None,
clock=None, temperature=None, ecc=None, ecc_block=None, pcie=None,
fan=None, voltage_curve=None, overdrive=None, perf_level=None,
xgmi_err=None, energy=None, mem_usage=None, schedule=None,
guard=None, guest_data=None, fb_usage=None, xgmi=None,):
"""Get Metric information for target gpu
Args:
args (Namespace): Namespace containing the parsed CLI args
multiple_devices (bool, optional): True if checking for multiple devices. Defaults to False.
watching_output (bool, optional): True if watch option has been set. Defaults to False.
gpu (device_handle, optional): device_handle for target device. Defaults to None.
usage (bool, optional): Value override for args.usage. Defaults to None.
watch (Positive int, optional): Value override for args.watch. Defaults to None.
watch_time (Positive int, optional): Value override for args.watch_time. Defaults to None.
iterations (Positive int, optional): Value override for args.iterations. Defaults to None.
power (bool, optional): Value override for args.power. Defaults to None.
clock (bool, optional): Value override for args.clock. Defaults to None.
temperature (bool, optional): Value override for args.temperature. Defaults to None.
ecc (bool, optional): Value override for args.ecc. Defaults to None.
ecc_block (bool, optional): Value override for args.ecc. Defaults to None.
pcie (bool, optional): Value override for args.pcie. Defaults to None.
fan (bool, optional): Value override for args.fan. Defaults to None.
voltage_curve (bool, optional): Value override for args.voltage_curve. Defaults to None.
overdrive (bool, optional): Value override for args.overdrive. Defaults to None.
perf_level (bool, optional): Value override for args.perf_level. Defaults to None.
xgmi_err (bool, optional): Value override for args.xgmi_err. Defaults to None.
energy (bool, optional): Value override for args.energy. Defaults to None.
mem_usage (bool, optional): Value override for args.mem_usage. Defaults to None.
schedule (bool, optional): Value override for args.schedule. Defaults to None.
guard (bool, optional): Value override for args.guard. Defaults to None.
guest_data (bool, optional): Value override for args.guest_data. Defaults to None.
fb_usage (bool, optional): Value override for args.fb_usage. Defaults to None.
xgmi (bool, optional): Value override for args.xgmi. Defaults to None.
Raises:
IndexError: Index error if gpu list is empty
Returns:
None: Print output via AMDSMILogger to destination
"""
# Set args.* to passed in arguments
if gpu:
args.gpu = gpu
if watch:
args.watch = watch
if watch_time:
args.watch_time = watch_time
if iterations:
args.iterations = iterations
# Store args that are applicable to the current platform
current_platform_args = []
current_platform_values = []
if not self.helpers.is_hypervisor() and not self.helpers.is_windows():
if mem_usage:
args.mem_usage = mem_usage
current_platform_args += ["mem_usage"]
current_platform_values += [args.mem_usage]
if self.helpers.is_hypervisor() or self.helpers.is_baremetal():
if usage:
args.usage = usage
if power:
args.power = power
if clock:
args.clock = clock
if temperature:
args.temperature = temperature
if ecc:
args.ecc = ecc
if pcie:
args.pcie = pcie
current_platform_args += ["usage", "power", "clock", "temperature", "ecc", "pcie"]
current_platform_values += [args.usage, args.power, args.clock, args.temperature, args.ecc, args.pcie]
if self.helpers.is_baremetal() and self.helpers.is_linux():
if ecc_block:
args.ecc_block = ecc_block
if fan:
args.fan = fan
if voltage_curve:
args.voltage_curve = voltage_curve
if overdrive:
args.overdrive = overdrive
if perf_level:
args.perf_level = perf_level
if xgmi_err:
args.xgmi_err = xgmi_err
if energy:
args.energy = energy
current_platform_args += ["ecc_block", "fan", "voltage_curve", "overdrive", "perf_level", "xgmi_err", "energy"]
current_platform_values += [args.ecc_block, args.fan, args.voltage_curve, args.overdrive, args.perf_level, args.xgmi_err, args.energy]
if self.helpers.is_hypervisor():
if schedule:
args.schedule = schedule
if guard:
args.guard = guard
if guest_data:
args.guest_data = guest_data
if fb_usage:
args.fb_usage = fb_usage
if xgmi:
args.xgmi = xgmi
current_platform_args += ["schedule", "guard", "guest_data", "fb_usage", "xgmi"]
current_platform_values += [args.schedule, args.guard, args.guest_data, args.fb_usage, args.xgmi]
# Handle No GPU passed
if args.gpu == None:
args.gpu = self.device_handles
# Handle watch logic, will only enter this block once
if args.watch:
self.helpers.handle_watch(args=args, subcommand=self.metric, logger=self.logger)
return
# Handle multiple GPUs
if isinstance(args.gpu, list):
if len(args.gpu) > 1:
# Deepcopy gpus as recursion will destroy the gpu list
stored_gpus = []
for gpu in args.gpu:
stored_gpus.append(gpu)
# Store output from multiple devices
for device_handle in args.gpu:
self.metric(args, multiple_devices=True, watching_output=watching_output, gpu=device_handle)
# Reload original gpus
args.gpu = stored_gpus
# Print multiple device output
self.logger.print_output(multiple_device_enabled=True, watching_output=watching_output)
# Add output to total watch output and clear multiple device output
if watching_output:
self.logger.store_watch_output(multiple_device_enabled=True)
# Flush the watching output
self.logger.print_output(multiple_device_enabled=True, watching_output=watching_output)
return
elif len(args.gpu) == 1:
args.gpu = args.gpu[0]
else:
raise IndexError("args.gpu should not be an empty list")
# Get gpu_id for logging
gpu_id = self.helpers.get_gpu_id_from_device_handle(args.gpu)
# Put the metrics table in the debug logs
try:
logging.debug("GPU Metrics table for %s | %s", gpu_id, amdsmi_interface.amdsmi_get_gpu_metrics_info(args.gpu))
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Unabled to load GPU Metrics table for %s | %s", gpu_id, e.err_info)
logging.debug(f"Metric Arg information for GPU {gpu_id} on {self.helpers.os_info()}")
logging.debug(f"Args: {current_platform_args}")
logging.debug(f"Values: {current_platform_values}")
# Set the platform applicable args to True if no args are set
if not any(current_platform_values):
for arg in current_platform_args:
setattr(args, arg, True)
# Add timestamp and store values for specified arguments
values_dict = {}
if "usage" in current_platform_args:
if args.usage:
try:
engine_usage = amdsmi_interface.amdsmi_get_gpu_activity(args.gpu)
engine_usage['gfx_usage'] = engine_usage.pop('gfx_activity')
engine_usage['mem_usage'] = engine_usage.pop('umc_activity')
engine_usage['mm_ip_usage'] = engine_usage.pop('mm_activity')
for key, value in engine_usage.items():
if value == 65535:
engine_usage[key] = "N/A"
if self.logger.is_human_readable_format():
if engine_usage[key] != "N/A":
unit = '%'
engine_usage[key] = f"{value} {unit}"
values_dict['usage'] = engine_usage
except amdsmi_exception.AmdSmiLibraryException as e:
values_dict['usage'] = "N/A"
logging.debug("Failed to get gpu activity for gpu %s | %s", gpu_id, e.get_error_info())
if "power" in current_platform_args:
if args.power:
power_dict = {'current_power': "N/A",
'current_gfx_voltage': "N/A",
'current_soc_voltage': "N/A",
'current_mem_voltage': "N/A",
'power_limit': "N/A",
'power_management': "N/A"}
try:
power_info = amdsmi_interface.amdsmi_get_power_info(args.gpu)
for key, value in power_info.items():
if value == 0xFFFFFFFF:
power_info[key] = "N/A"
elif self.logger.is_human_readable_format():
if "voltage" in key:
power_info[key] = f"{value} mV"
elif "power" in key:
power_info[key] = f"{value} W"
power_dict['current_power'] = power_info['average_socket_power']
power_dict['current_gfx_voltage'] = power_info['gfx_voltage']
power_dict['current_soc_voltage'] = power_info['soc_voltage']
power_dict['current_mem_voltage'] = power_info['mem_voltage']
power_dict['power_limit'] = power_info['power_limit']
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get power info for gpu %s | %s", gpu_id, e.get_error_info())
try:
is_power_management_enabled = amdsmi_interface.amdsmi_is_gpu_power_management_enabled(args.gpu)
if is_power_management_enabled:
power_dict['power_management'] = "ENABLED"
else:
power_dict['power_management'] = "DISABLED"
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get power management status for gpu %s | %s", gpu_id, e.get_error_info())
values_dict['power'] = power_dict
if "clock" in current_platform_args:
if args.clock:
clocks = {}
clock_types = [amdsmi_interface.AmdSmiClkType.GFX,
amdsmi_interface.AmdSmiClkType.MEM,
amdsmi_interface.AmdSmiClkType.VCLK0,
amdsmi_interface.AmdSmiClkType.VCLK1]
for clock_type in clock_types:
clock_name = amdsmi_interface.amdsmi_wrapper.amdsmi_clk_type_t__enumvalues[clock_type].replace("CLK_TYPE_", "")
# Ensure that gfx is the clock_name instead of another macro
if clock_type == amdsmi_interface.AmdSmiClkType.GFX:
clock_name = "gfx"
# Store the clock_name for vclk0
vlck0_clock_name = None
if clock_type == amdsmi_interface.AmdSmiClkType.VCLK0:
vlck0_clock_name = clock_name
try:
clock_info = amdsmi_interface.amdsmi_get_clock_info(args.gpu, clock_type)
if clock_info['sleep_clk'] == 0xFFFFFFFF:
clock_info['sleep_clk'] = "N/A"
if self.logger.is_human_readable_format():
unit = 'MHz'
for key, value in clock_info.items():
if isinstance(value, int):
clock_info[key] = f"{value} {unit}"
clocks[clock_name] = clock_info
except amdsmi_exception.AmdSmiLibraryException as e:
# Handle the case where VCLK1 is not enaled in sysfs on all GPUs
if clock_type == amdsmi_interface.AmdSmiClkType.VCLK1:
# Check if VCLK0 was retrieved successfully
if vlck0_clock_name in clocks:
# Since VCLK0 exists, do not error
logging.debug("VLCK0 exists, not adding %s clock info to output for gpu %s | %s", clock_name, gpu_id, e.get_error_info())
continue
else:
# Handle all other failed to get clock info
clocks[clock_name] = {"cur_clk": "N/A",
"max_clk": "N/A",
"min_clk": "N/A",
"sleep_clk": "N/A"}
logging.debug("Failed to get %s clock info for gpu %s | %s", clock_name, gpu_id, e.get_error_info())
try:
# is_clk_locked = amdsmi_interface.amdsmi_is_clk_locked(args.gpu, amdsmi_interface.AmdSmiClkType.GFX)
is_clk_locked = "N/A"
except amdsmi_exception.AmdSmiLibraryException as e:
is_clk_locked = "N/A"
logging.debug("Failed to get gfx clock lock status info for gpu %s | %s", gpu_id, e.get_error_info())
if "gfx" in clocks:
if isinstance(clocks['gfx'], dict):
clocks['gfx']['is_clk_locked'] = is_clk_locked
else:
clocks['gfx'] = {"is_clk_locked": is_clk_locked}
values_dict['clock'] = clocks
if "temperature" in current_platform_args:
if args.temperature:
try:
temperature_edge_current = amdsmi_interface.amdsmi_get_temp_metric(
args.gpu, amdsmi_interface.AmdSmiTemperatureType.EDGE, amdsmi_interface.AmdSmiTemperatureMetric.CURRENT)
except amdsmi_exception.AmdSmiLibraryException as e:
temperature_edge_current = "N/A"
logging.debug("Failed to get current edge temperature for gpu %s | %s", gpu_id, e.get_error_info())
try:
temperature_edge_limit = amdsmi_interface.amdsmi_get_temp_metric(
args.gpu, amdsmi_interface.AmdSmiTemperatureType.EDGE, amdsmi_interface.AmdSmiTemperatureMetric.CRITICAL)
except amdsmi_exception.AmdSmiLibraryException as e:
temperature_edge_limit = "N/A"
logging.debug("Failed to get edge temperature limit for gpu %s | %s", gpu_id, e.get_error_info())
# If edge limit is reporting 0 then set the current edge temp to N/A
if temperature_edge_limit == 0:
temperature_edge_current = "N/A"
try:
temperature_hotspot_current = amdsmi_interface.amdsmi_get_temp_metric(
args.gpu, amdsmi_interface.AmdSmiTemperatureType.HOTSPOT, amdsmi_interface.AmdSmiTemperatureMetric.CURRENT)
except amdsmi_exception.AmdSmiLibraryException as e:
temperature_hotspot_current = "N/A"
logging.debug("Failed to get current hotspot temperature for gpu %s | %s", gpu_id, e.get_error_info())
try:
temperature_vram_current = amdsmi_interface.amdsmi_get_temp_metric(
args.gpu, amdsmi_interface.AmdSmiTemperatureType.VRAM, amdsmi_interface.AmdSmiTemperatureMetric.CURRENT)
except amdsmi_exception.AmdSmiLibraryException as e:
temperature_vram_current = "N/A"
logging.debug("Failed to get current vram temperature for gpu %s | %s", gpu_id, e.get_error_info())
temperatures = {'edge': temperature_edge_current,
'hotspot': temperature_hotspot_current,
'mem': temperature_vram_current}
if self.logger.is_human_readable_format():
unit = '\N{DEGREE SIGN}C'
for temperature_key, temperature_value in temperatures.items():
if 'AMD_SMI_STATUS' not in str(temperature_value):
temperatures[temperature_key] = f"{temperature_value} {unit}"
values_dict['temperature'] = temperatures
if "ecc" in current_platform_args:
if args.ecc:
ecc_count = {}
try:
ecc_count = amdsmi_interface.amdsmi_get_gpu_total_ecc_count(args.gpu)
ecc_count['correctable'] = ecc_count.pop('correctable_count')
ecc_count['uncorrectable'] = ecc_count.pop('uncorrectable_count')
except amdsmi_exception.AmdSmiLibraryException as e:
ecc_count['correctable'] = "N/A"
ecc_count['uncorrectable'] = "N/A"
logging.debug("Failed to get ecc count for gpu %s | %s", gpu_id, e.get_error_info())
values_dict['ecc'] = ecc_count
if "pcie" in current_platform_args:
if args.pcie:
pcie_dict = {"current_lanes": "N/A",
"current_speed": "N/A",
"replay_count" : "N/A",
"l0_to_recovery_count" : "N/A",
"replay_roll_over_count" : "N/A",
"nak_sent_count" : "N/A",
"nak_received_count" : "N/A",
"current_bandwidth_sent": "N/A",
"current_bandwidth_received": "N/A",
"max_packet_size": "N/A"}
try:
pcie_link_status = amdsmi_interface.amdsmi_get_pcie_link_status(args.gpu)
if pcie_link_status['pcie_speed'] % 1000 != 0:
pcie_speed_GTs_value = round(pcie_link_status['pcie_speed'] / 1000, 1)
else:
pcie_speed_GTs_value = round(pcie_link_status['pcie_speed'] / 1000)
pcie_dict['current_speed'] = pcie_speed_GTs_value
pcie_dict['current_lanes'] = pcie_link_status['pcie_lanes']
if self.logger.is_human_readable_format():
unit = 'GT/s'
pcie_link_status['current_speed'] = f"{pcie_link_status['pcie_speed']} {unit}"
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get pcie link status for gpu %s | %s", gpu_id, e.get_error_info())
try:
pci_replay_counter = amdsmi_interface.amdsmi_get_gpu_pci_replay_counter(args.gpu)
pcie_dict['replay_count'] = pci_replay_counter
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get pci replay counter for gpu %s | %s", gpu_id, e.get_error_info())
try:
# l0_to_recovery_counter = amdsmi_interface.amdsmi_get_gpu_pci_l0_to_recovery_counter(args.gpu)
# pcie_dict['l0_to_recovery_count'] = l0_to_recovery_counter
pcie_dict['l0_to_recovery_count'] = "N/A"
except amdsmi_exception.AmdSmiLibraryException as e:
pcie_dict['l0_to_recovery_count'] = "N/A"
logging.debug("Failed to get pcie l0 to recovery counter for gpu %s | %s", gpu_id, e.get_error_info())
try:
# pci_replay_rollover_counter = amdsmi_interface.amdsmi_get_gpu_pci_replay_rollover_counter(args.gpu)
# pcie_dict['replay_roll_over_count'] = pci_replay_rollover_counter
pcie_dict['replay_roll_over_count'] = "N/A"
except amdsmi_exception.AmdSmiLibraryException as e:
pcie_dict['replay_roll_over_count'] = "N/A"
logging.debug("Failed to get pcie replay rollover counter for gpu %s | %s", gpu_id, e.get_error_info())
try:
# nak_info = amdsmi_interface.amdsmi_get_gpu_pci_nak_info(args.gpu)
# pcie_dict['nak_sent_count'] = nak_info['nak_sent_count']
# pcie_dict['nak_received_count'] = nak_info['nak_received_count']
pcie_dict['nak_sent_count'] = "N/A"
pcie_dict['nak_received_count'] = "N/A"
except amdsmi_exception.AmdSmiLibraryException as e:
pcie_dict['nak_sent_count'] = "N/A"
pcie_dict['nak_received_count'] = "N/A"
logging.debug("Failed to get pcie nak info for gpu %s | %s", gpu_id, e.get_error_info())
try:
pcie_bw = amdsmi_interface.amdsmi_get_gpu_pci_throughput(args.gpu)
sent = pcie_bw['sent'] * pcie_bw['max_pkt_sz']
received = pcie_bw['received'] * pcie_bw['max_pkt_sz']
if self.logger.is_human_readable_format():
if sent > 0:
sent = sent // 1024 // 1024
sent = f"{sent} MB/s"
if received > 0:
received = received // 1024 // 1024
received = f"{received} MB/s"
pcie_bw['max_pkt_sz'] = f"{pcie_bw['max_pkt_sz']} B"
pcie_dict['current_bandwidth_sent'] = sent
pcie_dict['current_bandwidth_received'] = received
pcie_dict['max_packet_size'] = pcie_bw['max_pkt_sz']
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get pcie bandwidth for gpu %s | %s", gpu_id, e.get_error_info())
values_dict['pcie'] = pcie_dict
if "ecc_block" in current_platform_args:
if args.ecc_block:
ecc_dict = {}
uncountable_blocks = ["ATHUB", "DF", "SMN", "SEM", "MP0", "MP1", "FUSE"]
try:
ras_states = amdsmi_interface.amdsmi_get_gpu_ras_block_features_enabled(args.gpu)
for state in ras_states:
if state['status'] == amdsmi_interface.AmdSmiRasErrState.ENABLED.name:
gpu_block = amdsmi_interface.AmdSmiGpuBlock[state['block']]
# if the blocks are uncountable do not add them at all.
if gpu_block.name not in uncountable_blocks:
try:
ecc_count = amdsmi_interface.amdsmi_get_gpu_ecc_count(args.gpu, gpu_block)
ecc_dict[state['block']] = {'correctable' : ecc_count['correctable_count'],
'uncorrectable': ecc_count['uncorrectable_count']}
except amdsmi_exception.AmdSmiLibraryException as e:
ecc_dict[state['block']] = {'correctable' : "N/A",
'uncorrectable': "N/A"}
logging.debug("Failed to get ecc count for gpu %s at block %s | %s", gpu_id, gpu_block, e.get_error_info())
values_dict['ecc_block'] = ecc_dict
except amdsmi_exception.AmdSmiLibraryException as e:
values_dict['ecc_block'] = "N/A"
logging.debug("Failed to get ecc block features for gpu %s | %s", gpu_id, e.get_error_info())
if "fan" in current_platform_args:
if args.fan:
fan_dict = {"speed" : "N/A",
"max" : "N/A",
"rpm" : "N/A",
"usage" : "N/A"}
try:
fan_speed = amdsmi_interface.amdsmi_get_gpu_fan_speed(args.gpu, 0)
fan_dict["speed"] = fan_speed
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get fan speed for gpu %s | %s", args.gpu, e.get_error_info())
try:
fan_max = amdsmi_interface.amdsmi_get_gpu_fan_speed_max(args.gpu, 0)
fan_usage = "N/A"
if fan_max > 0 and fan_dict["speed"] != "N/A":
fan_usage = round((float(fan_speed) / float(fan_max)) * 100, 2)
if self.logger.is_human_readable_format():
unit = '%'
fan_usage = f"{fan_usage} {unit}"
fan_dict["max"] = fan_max
fan_dict["usage"] = fan_usage
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get fan max speed for gpu %s | %s", args.gpu, e.get_error_info())
try:
fan_rpm = amdsmi_interface.amdsmi_get_gpu_fan_rpms(args.gpu, 0)
fan_dict["rpm"] = fan_rpm
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get fan rpms for gpu %s | %s", args.gpu, e.get_error_info())
values_dict["fan"] = fan_dict
if "voltage_curve" in current_platform_args:
if args.voltage_curve:
try:
od_volt = amdsmi_interface.amdsmi_get_gpu_od_volt_info(args.gpu)
voltage_point_dict = {}
for point in range(3):
if isinstance(od_volt, dict):
frequency = int(od_volt["curve.vc_points"][point].frequency / 1000000)
voltage = int(od_volt["curve.vc_points"][point].voltage)
else:
frequency = 0
voltage = 0
voltage_point_dict[f'voltage_point_{point}'] = f"{frequency} Mhz {voltage} mV"
values_dict['voltage_curve'] = voltage_point_dict
except amdsmi_exception.AmdSmiLibraryException as e:
values_dict['voltage_curve'] = "N/A"
logging.debug("Failed to get voltage curve for gpu %s | %s", gpu_id, e.get_error_info())
if "overdrive" in current_platform_args:
if args.overdrive:
try:
overdrive_level = amdsmi_interface.amdsmi_get_gpu_overdrive_level(args.gpu)
if self.logger.is_human_readable_format():
unit = '%'
overdrive_level = f"{overdrive_level} {unit}"
values_dict['overdrive'] = overdrive_level
except amdsmi_exception.AmdSmiLibraryException as e:
values_dict['overdrive'] = "N/A"
logging.debug("Failed to get overdrive level for gpu %s | %s", gpu_id, e.get_error_info())
if "perf_level" in current_platform_args:
if args.perf_level:
try:
perf_level = amdsmi_interface.amdsmi_get_gpu_perf_level(args.gpu)
values_dict['perf_level'] = perf_level
except amdsmi_exception.AmdSmiLibraryException as e:
values_dict['perf_level'] = "N/A"
logging.debug("Failed to get perf level for gpu %s | %s", gpu_id, e.get_error_info())
if "xgmi_err" in current_platform_args:
if args.xgmi_err:
try:
xgmi_err_status = amdsmi_interface.amdsmi_gpu_xgmi_error_status(args.gpu)
values_dict['xgmi_err'] = amdsmi_interface.amdsmi_wrapper.amdsmi_xgmi_status_t__enumvalues[xgmi_err_status]
except amdsmi_exception.AmdSmiLibraryException as e:
values_dict['xgmi_err'] = "N/A"
logging.debug("Failed to get xgmi error status for gpu %s | %s", gpu_id, e.get_error_info())
if "energy" in current_platform_args:
if args.energy:
try:
energy_dict = amdsmi_interface.amdsmi_get_energy_count(args.gpu)
energy = energy_dict['power'] * round(energy_dict['counter_resolution'], 1)
energy /= 1000000
energy = round(energy, 3)
if self.logger.is_human_readable_format():
unit = 'J'
energy = f"{energy} {unit}"
values_dict['energy'] = {"total_energy_consumption" : energy}
except amdsmi_interface.AmdSmiLibraryException as e:
values_dict['energy'] = "N/A"
logging.debug("Failed to get energy usage for gpu %s | %s", args.gpu, e.get_error_info())
if "mem_usage" in current_platform_args:
if args.mem_usage:
unit = 'MB'
memory_usage = {'total_vram': "N/A",
'used_vram': "N/A",
'free_vram': "N/A",
'total_visible_vram': "N/A",
'used_visible_vram': "N/A",
'free_visible_vram': "N/A",
'total_gtt': "N/A",
'used_gtt': "N/A",
'free_gtt': "N/A"}
# Total VRAM
try:
total_vram = amdsmi_interface.amdsmi_get_gpu_memory_total(args.gpu, amdsmi_interface.AmdSmiMemoryType.VRAM)
memory_usage['total_vram'] = total_vram // (1024*1024)
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get total VRAM memory for gpu %s | %s", gpu_id, e.get_error_info())
try:
total_visible_vram = amdsmi_interface.amdsmi_get_gpu_memory_total(args.gpu, amdsmi_interface.AmdSmiMemoryType.VIS_VRAM)
memory_usage['total_visible_vram'] = total_visible_vram // (1024*1024)
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get total VIS VRAM memory for gpu %s | %s", gpu_id, e.get_error_info())
try:
total_gtt = amdsmi_interface.amdsmi_get_gpu_memory_total(args.gpu, amdsmi_interface.AmdSmiMemoryType.GTT)
memory_usage['total_gtt'] = total_gtt // (1024*1024)
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get total GTT memory for gpu %s | %s", gpu_id, e.get_error_info())
# Used VRAM
try:
used_vram = amdsmi_interface.amdsmi_get_gpu_memory_usage(args.gpu, amdsmi_interface.AmdSmiMemoryType.VRAM)
memory_usage['used_vram'] = used_vram // (1024*1024)
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get used VRAM memory for gpu %s | %s", gpu_id, e.get_error_info())
try:
used_visible_vram = amdsmi_interface.amdsmi_get_gpu_memory_usage(args.gpu, amdsmi_interface.AmdSmiMemoryType.VIS_VRAM)
memory_usage['used_visible_vram'] = used_visible_vram // (1024*1024)
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get used VIS VRAM memory for gpu %s | %s", gpu_id, e.get_error_info())
try:
used_gtt = amdsmi_interface.amdsmi_get_gpu_memory_usage(args.gpu, amdsmi_interface.AmdSmiMemoryType.GTT)
memory_usage['used_gtt'] = used_gtt // (1024*1024)
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get used GTT memory for gpu %s | %s", gpu_id, e.get_error_info())
# Free VRAM
if memory_usage['total_vram'] != "N/A" and memory_usage['used_vram'] != "N/A":
memory_usage['free_vram'] = memory_usage['total_vram'] - memory_usage['used_vram']
if memory_usage['total_visible_vram'] != "N/A" and memory_usage['used_visible_vram'] != "N/A":
memory_usage['free_visible_vram'] = memory_usage['total_visible_vram'] - memory_usage['used_visible_vram']
if memory_usage['total_gtt'] != "N/A" and memory_usage['used_gtt'] != "N/A":
memory_usage['free_gtt'] = memory_usage['total_gtt'] - memory_usage['used_gtt']
if self.logger.is_human_readable_format():
for key, value in memory_usage.items():
if value != "N/A":
memory_usage[key] = f"{value} {unit}"
values_dict['mem_usage'] = memory_usage
# Store timestamp first if watching_output is enabled
if watching_output:
self.logger.store_output(args.gpu, 'timestamp', int(time.time()))
self.logger.store_output(args.gpu, 'values', values_dict)
if multiple_devices:
self.logger.store_multiple_device_output()
return # Skip printing when there are multiple devices
self.logger.print_output(watching_output=watching_output)
if watching_output: # End of single gpu add to watch_output
self.logger.store_watch_output(multiple_device_enabled=False)
def process(self, args, multiple_devices=False, watching_output=False,
gpu=None, general=None, engine=None, pid=None, name=None,
watch=None, watch_time=None, iterations=None):
"""Get Process Information from the target GPU
Args:
args (Namespace): Namespace containing the parsed CLI args
multiple_devices (bool, optional): True if checking for multiple devices. Defaults to False.
watching_output (bool, optional): True if watch option has been set. Defaults to False.
gpu (device_handle, optional): device_handle for target device. Defaults to None.
general (bool, optional): Value override for args.general. Defaults to None.
engine (bool, optional): Value override for args.engine. Defaults to None.
pid (Positive int, optional): Value override for args.pid. Defaults to None.
name (str, optional): Value override for args.name. Defaults to None.
watch (Positive int, optional): Value override for args.watch. Defaults to None.
watch_time (Positive int, optional): Value override for args.watch_time. Defaults to None.
iterations (Positive int, optional): Value override for args.iterations. Defaults to None.
Raises:
IndexError: Index error if gpu list is empty
Returns:
None: Print output via AMDSMILogger to destination
"""
# Set args.* to passed in arguments
if gpu:
args.gpu = gpu
if general:
args.general = general
if engine:
args.engine = engine
if pid:
args.pid = pid
if name:
args.name = name
if watch:
args.watch = watch
if watch_time:
args.watch_time = watch_time
if iterations:
args.iterations = iterations
# Handle No GPU passed
if args.gpu == None:
args.gpu = self.device_handles
# Handle watch logic, will only enter this block once
if args.watch:
self.helpers.handle_watch(args=args, subcommand=self.process, logger=self.logger)
return
# Handle multiple GPUs
if isinstance(args.gpu, list):
if len(args.gpu) > 1:
# Deepcopy gpus as recursion will destroy the gpu list
stored_gpus = []
for gpu in args.gpu:
stored_gpus.append(gpu)
# Store output from multiple devices
for device_handle in args.gpu:
self.process(args, multiple_devices=True, watching_output=watching_output, gpu=device_handle)
# Reload original gpus
args.gpu = stored_gpus
# Print multiple device output
self.logger.print_output(multiple_device_enabled=True, watching_output=watching_output)
# Add output to total watch output and clear multiple device output
if watching_output:
self.logger.store_watch_output(multiple_device_enabled=True)
# Flush the watching output
self.logger.print_output(multiple_device_enabled=True, watching_output=watching_output)
return
elif len(args.gpu) == 1:
args.gpu = args.gpu[0]
else:
raise IndexError("args.gpu should not be an empty list")
# Get gpu_id for logging
gpu_id = self.helpers.get_gpu_id_from_device_handle(args.gpu)
# Populate initial processes
try:
process_list = amdsmi_interface.amdsmi_get_gpu_process_list(args.gpu)
except amdsmi_exception.AmdSmiLibraryException as e:
logging.debug("Failed to get process list for gpu %s | %s", gpu_id, e.get_error_info())
raise e
filtered_process_values = []
for process_handle in process_list:
try:
process_info = amdsmi_interface.amdsmi_get_gpu_process_info(args.gpu, process_handle)
except amdsmi_exception.AmdSmiLibraryException as e:
process_info = "N/A"
logging.debug("Failed to get process info for gpu %s on process_handle %s | %s", gpu_id, process_handle, e.get_error_info())
filtered_process_values.append({'process_info': process_info})
continue
process_info['mem_usage'] = process_info.pop('mem')
process_info['usage'] = process_info.pop('engine_usage')
if self.logger.is_human_readable_format():
process_info['mem_usage'] = self.helpers.convert_bytes_to_readable(process_info['mem_usage'])
engine_usage_unit = "ns"
for usage_metric in process_info['usage']:
process_info['usage'][usage_metric] = f"{process_info['usage'][usage_metric]} {engine_usage_unit}"
for usage_metric in process_info['memory_usage']:
process_info['memory_usage'][usage_metric] = self.helpers.convert_bytes_to_readable(process_info['memory_usage'][usage_metric])
filtered_process_values.append({'process_info': process_info})
# Arguments will filter the populated processes
# General and Engine to expose process_info values
if args.general or args.engine:
for process_info in filtered_process_values:
if args.general and args.engine:
del process_info['process_info']['memory_usage']
elif args.general:
del process_info['process_info']['memory_usage']
del process_info['process_info']['usage'] # Used in engine
elif args.engine:
del process_info['process_info']['memory_usage']
del process_info['process_info']['mem_usage'] # Used in general
# Filter out non specified pids
if args.pid:
process_pids = []
for process_info in filtered_process_values:
pid = str(process_info['process_info']['pid'])
if str(args.pid) == pid:
process_pids.append(process_info)
filtered_process_values = process_pids
# Filter out non specified process names
if args.name:
process_names = []
for process_info in filtered_process_values:
process_name = str(process_info['process_info']['name']).lower()
if str(args.name).lower() == process_name:
process_names.append(process_info)
filtered_process_values = process_names
multiple_devices_csv_override = False
# Convert and store output by pid for csv format
if self.logger.is_csv_format():
for process_info in filtered_process_values:
for key, value in process_info['process_info'].items():
multiple_devices_csv_override = True
if watching_output:
self.logger.store_output(args.gpu, 'timestamp', int(time.time()))
self.logger.store_output(args.gpu, key, value)
self.logger.store_multiple_device_output()
else:
# Remove brackets if there is only one value
if len(filtered_process_values) == 1:
filtered_process_values = filtered_process_values[0]
if watching_output:
self.logger.store_output(args.gpu, 'timestamp', int(time.time()))
# Store values in logger.output
if filtered_process_values == []:
self.logger.store_output(args.gpu, 'values', {'process_info': 'Not Found'})
else:
self.logger.store_output(args.gpu, 'values', filtered_process_values)
if multiple_devices:
self.logger.store_multiple_device_output()
return # Skip printing when there are multiple devices
self.logger.print_output(multiple_device_enabled=multiple_devices_csv_override, watching_output=watching_output)
if watching_output: # End of single gpu add to watch_output
self.logger.store_watch_output(multiple_device_enabled=multiple_devices_csv_override)
def profile(self, args):
"""Not applicable to linux baremetal"""
print('Not applicable to linux baremetal')
def event(self, args, gpu=None):
""" Get event information for target gpus
Args:
args (Namespace): argparser args to pass to subcommand
gpu (device_handle, optional): device_handle for target device. Defaults to None.
Return:
stdout event information for target gpus
"""
if args.gpu:
gpu = args.gpu
if gpu == None:
args.gpu = self.device_handles
if not isinstance(args.gpu, list):
args.gpu = [args.gpu]
print('EVENT LISTENING:\n')
print('Press q and hit ENTER when you want to stop (listening will stop within 10 seconds)')
threads = []
for device_handle in range(len(args.gpu)):
x = threading.Thread(target=self._event_thread, args=(self, device_handle))
threads.append(x)
x.start()
while self.stop!= 'q':
self.stop = input("")
for thread in threads:
thread.join()
def topology(self, args, multiple_devices=False, gpu=None, access=None,
weight=None, hops=None, link_type=None, numa_bw=None):
""" Get topology information for target gpus
params:
args - argparser args to pass to subcommand
multiple_devices (bool) - True if checking for multiple devices
gpu (device_handle) - device_handle for target device
access (bool) - Value override for args.access
weight (bool) - Value override for args.weight
hops (bool) - Value override for args.hops
type (bool) - Value override for args.type
numa_bw (bool) - Value override for args.numa_bw
return:
Nothing
"""
# Set args.* to passed in arguments
if gpu:
args.gpu = gpu
if access:
args.access = access
if weight:
args.weight = weight
if hops:
args.hops = hops
if link_type:
args.link_type = link_type
if numa_bw:
args.numa_bw = numa_bw
# Handle No GPU passed
if args.gpu == None:
args.gpu = self.device_handles
if not isinstance(args.gpu, list):
args.gpu = [args.gpu]
# Handle all args being false
if not any([args.access, args.weight, args.hops, args.link_type, args.numa_bw]):
args.access = args.weight = args.hops = args.link_type= args.numa_bw = True
# Populate the possible gpus
topo_values = []
for gpu in args.gpu:
gpu_id = self.helpers.get_gpu_id_from_device_handle(gpu)
topo_values.append({"gpu" : gpu_id})
if args.access:
for src_gpu_index, src_gpu in enumerate(args.gpu):
src_gpu_links = {}
for dest_gpu in args.gpu:
dest_gpu_id = self.helpers.get_gpu_id_from_device_handle(dest_gpu)
dest_gpu_key = f'gpu_{dest_gpu_id}'
try:
dest_gpu_link_status = amdsmi_interface.amdsmi_is_P2P_accessible(src_gpu, dest_gpu)
src_gpu_links[dest_gpu_key] = bool(dest_gpu_link_status)
except amdsmi_exception.AmdSmiLibraryException as e:
src_gpu_links[dest_gpu_key] = "N/A"
logging.debug("Failed to get link status for %s to %s | %s",
self.helpers.get_gpu_id_from_device_handle(src_gpu),
self.helpers.get_gpu_id_from_device_handle(dest_gpu),
e.get_error_info())
topo_values[src_gpu_index]['link_accessibility'] = src_gpu_links
if args.weight:
for src_gpu_index, src_gpu in enumerate(args.gpu):
src_gpu_weight = {}
for dest_gpu in args.gpu:
dest_gpu_id = self.helpers.get_gpu_id_from_device_handle(dest_gpu)
dest_gpu_key = f'gpu_{dest_gpu_id}'
if src_gpu == dest_gpu:
src_gpu_weight[dest_gpu_key] = 0
continue
try:
dest_gpu_link_weight = amdsmi_interface.amdsmi_topo_get_link_weight(src_gpu, dest_gpu)
src_gpu_weight[dest_gpu_key] = dest_gpu_link_weight
except amdsmi_exception.AmdSmiLibraryException as e:
src_gpu_weight[dest_gpu_key] = "N/A"
logging.debug("Failed to get link weight for %s to %s | %s",
self.helpers.get_gpu_id_from_device_handle(src_gpu),
self.helpers.get_gpu_id_from_device_handle(dest_gpu),
e.get_error_info())
topo_values[src_gpu_index]['weight'] = src_gpu_weight
if args.hops:
for src_gpu_index, src_gpu in enumerate(args.gpu):
src_gpu_hops = {}
for dest_gpu in args.gpu:
dest_gpu_id = self.helpers.get_gpu_id_from_device_handle(dest_gpu)
dest_gpu_key = f'gpu_{dest_gpu_id}'
if src_gpu == dest_gpu:
src_gpu_hops[dest_gpu_key] = 0
continue
try:
dest_gpu_hops = amdsmi_interface.amdsmi_topo_get_link_type(src_gpu, dest_gpu)['hops']
src_gpu_hops[dest_gpu_key] = dest_gpu_hops
except amdsmi_exception.AmdSmiLibraryException as e:
src_gpu_hops[dest_gpu_key] = "N/A"
logging.debug("Failed to get link hops for %s to %s | %s",
self.helpers.get_gpu_id_from_device_handle(src_gpu),
self.helpers.get_gpu_id_from_device_handle(dest_gpu),
e.get_error_info())
topo_values[src_gpu_index]['hops'] = src_gpu_hops
if args.link_type:
for src_gpu_index, src_gpu in enumerate(args.gpu):
src_gpu_link_type = {}
for dest_gpu in args.gpu:
dest_gpu_id = self.helpers.get_gpu_id_from_device_handle(dest_gpu)
dest_gpu_key = f'gpu_{dest_gpu_id}'
if src_gpu == dest_gpu:
src_gpu_link_type[dest_gpu_key] = "SELF"
continue
try:
link_type = amdsmi_interface.amdsmi_topo_get_link_type(src_gpu, dest_gpu)['type']
if isinstance(link_type, int):
if link_type == amdsmi_interface.amdsmi_wrapper.AMDSMI_IOLINK_TYPE_UNDEFINED:
src_gpu_link_type[dest_gpu_key] = "UNKNOWN"
elif link_type == amdsmi_interface.amdsmi_wrapper.AMDSMI_IOLINK_TYPE_PCIEXPRESS:
src_gpu_link_type[dest_gpu_key] = "PCIE"
elif link_type == amdsmi_interface.amdsmi_wrapper.AMDSMI_IOLINK_TYPE_XGMI:
src_gpu_link_type[dest_gpu_key] = "XGMI"
except amdsmi_exception.AmdSmiLibraryException as e:
src_gpu_link_type[dest_gpu_key] = "N/A"
logging.debug("Failed to get link type for %s to %s | %s",
self.helpers.get_gpu_id_from_device_handle(src_gpu),
self.helpers.get_gpu_id_from_device_handle(dest_gpu),
e.get_error_info())
topo_values[src_gpu_index]['link_type'] = src_gpu_link_type
if args.numa_bw:
for src_gpu_index, src_gpu in enumerate(args.gpu):
src_gpu_link_type = {}
for dest_gpu in args.gpu:
dest_gpu_id = self.helpers.get_gpu_id_from_device_handle(dest_gpu)
dest_gpu_key = f'gpu_{dest_gpu_id}'
if src_gpu == dest_gpu:
src_gpu_link_type[dest_gpu_key] = "N/A"
continue
try:
link_type = amdsmi_interface.amdsmi_topo_get_link_type(src_gpu, dest_gpu)['type']
if isinstance(link_type, int):
if link_type != 2:
# non_xgmi = True
src_gpu_link_type[dest_gpu_key] = "N/A"
continue
except amdsmi_exception.AmdSmiLibraryException as e:
src_gpu_link_type[dest_gpu_key] = "N/A"
logging.debug("Failed to get link type for %s to %s | %s",
self.helpers.get_gpu_id_from_device_handle(src_gpu),
self.helpers.get_gpu_id_from_device_handle(dest_gpu),
e.get_error_info())
try:
bw_dict = amdsmi_interface.amdsmi_get_minmax_bandwidth_between_processors(src_gpu, dest_gpu)
src_gpu_link_type[dest_gpu_key] = f"{bw_dict['min_bandwidth']}-{bw_dict['max_bandwidth']}"
except amdsmi_exception.AmdSmiLibraryException as e:
src_gpu_link_type[dest_gpu_key] = e.get_error_info()
logging.debug("Failed to get min max bandwidth for %s to %s | %s",
self.helpers.get_gpu_id_from_device_handle(src_gpu),
self.helpers.get_gpu_id_from_device_handle(dest_gpu),
e.get_error_info())
topo_values[src_gpu_index]['numa_bandwidth'] = src_gpu_link_type
self.logger.multiple_device_output = topo_values
if self.logger.is_csv_format():
new_output = []
for elem in self.logger.multiple_device_output:
new_output.append(self.logger.flatten_dict(elem, topology_override=True))
self.logger.multiple_device_output = new_output
self.logger.print_output(multiple_device_enabled=True)
def set_value(self, args, multiple_devices=False, gpu=None, fan=None, perf_level=None,
profile=None, perf_determinism=None, compute_partition=None,
memory_partition=None, power_cap=None):
"""Issue reset commands to target gpu(s)
Args:
args (Namespace): Namespace containing the parsed CLI args
multiple_devices (bool, optional): True if checking for multiple devices. Defaults to False.
gpu (device_handle, optional): device_handle for target device. Defaults to None.
fan (int, optional): Value override for args.fan. Defaults to None.
perf_level (amdsmi_interface.AmdSmiDevPerfLevel, optional): Value override for args.perf_level. Defaults to None.
profile (bool, optional): Value override for args.profile. Defaults to None.
perf_determinism (int, optional): Value override for args.perf_determinism. Defaults to None.
compute_partition (amdsmi_interface.AmdSmiComputePartitionType, optional): Value override for args.compute_partition. Defaults to None.
memory_partition (amdsmi_interface.AmdSmiMemoryPartitionType, optional): Value override for args.memory_partition. Defaults to None.
power_cap (int, optional): Value override for args.power_cap. Defaults to None.
Raises:
ValueError: Value error if no gpu value is provided
IndexError: Index error if gpu list is empty
Return:
Nothing
"""
# Set args.* to passed in arguments
if gpu:
args.gpu = gpu
if fan is not None:
args.fan = fan
if perf_level:
args.perf_level = perf_level
if profile:
args.profile = profile
if perf_determinism is not None:
args.perf_determinism = perf_determinism
if compute_partition:
args.compute_partition = compute_partition
if memory_partition:
args.memory_partition = memory_partition
if power_cap:
args.power_cap = power_cap
# Handle No GPU passed
if args.gpu == None:
raise ValueError('No GPU provided, specific GPU target(s) are needed')
# Handle multiple GPUs
handled_multiple_gpus, device_handle = self.helpers.handle_gpus(args, self.logger, self.set_value)
if handled_multiple_gpus:
return # This function is recursive
args.gpu = device_handle
# Error if no subcommand args are passed
if not any([args.fan is not None,
args.perf_level,
args.profile,
args.compute_partition,
args.memory_partition,
args.perf_determinism is not None,
args.power_cap]):
command = " ".join(sys.argv[1:])
raise AmdSmiRequiredCommandException(command, self.logger.format)
# Build GPU string for errors
try:
gpu_bdf = amdsmi_interface.amdsmi_get_gpu_device_bdf(args.gpu)
except amdsmi_exception.AmdSmiLibraryException:
gpu_bdf = f'BDF Unavailable for {args.gpu}'
try:
gpu_id = self.helpers.get_gpu_id_from_device_handle(args.gpu)
except IndexError:
gpu_id = f'ID Unavailable for {args.gpu}'
gpu_string = f"GPU ID: {gpu_id} BDF:{gpu_bdf}"
# Handle args
if isinstance(args.fan, int):
try:
amdsmi_interface.amdsmi_set_gpu_fan_speed(args.gpu, 0, args.fan)
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
raise ValueError(f"Unable to set fan speed {args.fan} on {gpu_string}") from e
self.logger.store_output(args.gpu, 'fan', f"Successfully set fan speed {args.fan}")
if args.perf_level:
perf_level = amdsmi_interface.AmdSmiDevPerfLevel[args.perf_level]
try:
amdsmi_interface.amdsmi_set_gpu_perf_level(args.gpu, perf_level)
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
raise ValueError(f"Unable to set performance level {args.perf_level} on {gpu_string}") from e
self.logger.store_output(args.gpu, 'perflevel', f"Successfully set performance level {args.perf_level}")
if args.profile:
self.logger.store_output(args.gpu, 'profile', "Not Yet Implemented")
if isinstance(args.perf_determinism, int):
try:
amdsmi_interface.amdsmi_set_gpu_perf_determinism_mode(args.gpu, args.perf_determinism)
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
raise ValueError(f"Unable to set performance determinism and clock frequency to {args.perf_determinism} on {gpu_string}") from e
self.logger.store_output(args.gpu, 'perfdeterminism', f"Successfully enabled performance determinism and set GFX clock frequency to {args.perf_determinism}")
if args.compute_partition:
compute_partition = amdsmi_interface.AmdSmiComputePartitionType[args.compute_partition]
try:
amdsmi_interface.amdsmi_dev_compute_partition_set(args.gpu, compute_partition)
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
raise ValueError(f"Unable to set compute partition to {args.compute_partition} on {gpu_string}") from e
self.logger.store_output(args.gpu, 'computepartition', f"Successfully set compute partition to {args.compute_partition}")
if args.memory_partition:
memory_partition = amdsmi_interface.AmdSmiMemoryPartitionType[args.memory_partition]
try:
amdsmi_interface.amdsmi_dev_memory_partition_set(args.gpu, memory_partition)
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
raise ValueError(f"Unable to set memory partition to {args.memory_partition} on {gpu_string}") from e
self.logger.store_output(args.gpu, 'memorypartition', f"Successfully set memory partition to {args.memory_partition}")
if isinstance(args.power_cap, int):
try:
power_cap_info = amdsmi_interface.amdsmi_get_power_cap_info(args.gpu)
logging.debug(f"Power cap info for gpu {gpu_id} | {power_cap_info}")
min_power_cap = power_cap_info["min_power_cap"]
max_power_cap = power_cap_info["max_power_cap"]
current_power_cap = power_cap_info["power_cap"]
except amdsmi_exception.AmdSmiLibraryException as e:
raise ValueError(f"Unable to get power cap info from {gpu_string}") from e
if args.power_cap == current_power_cap:
self.logger.store_output(args.gpu, 'powercap', f"Power cap is already set to {args.power_cap}")
elif args.power_cap >= min_power_cap and args.power_cap <= max_power_cap:
try:
amdsmi_interface.amdsmi_set_power_cap(args.gpu, 0, args.power_cap * 1000000)
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
raise ValueError(f"Unable to set power cap to {args.power_cap} on {gpu_string}") from e
self.logger.store_output(args.gpu, 'powercap', f"Successfully set power cap to {args.power_cap}")
else:
# setting power cap to 0 will return the current power cap so the technical minimum value is 1
if min_power_cap == 0:
min_power_cap = 1
self.logger.store_output(args.gpu, 'powercap', f"Power cap must be between {min_power_cap} and {max_power_cap}")
if multiple_devices:
self.logger.store_multiple_device_output()
return # Skip printing when there are multiple devices
self.logger.print_output()
def reset(self, args, multiple_devices=False, gpu=None, gpureset=None,
clocks=None, fans=None, profile=None, xgmierr=None, perf_determinism=None,
compute_partition=None, memory_partition=None, power_cap=None):
"""Issue reset commands to target gpu(s)
Args:
args (Namespace): Namespace containing the parsed CLI args
multiple_devices (bool, optional): True if checking for multiple devices. Defaults to False.
gpu (device_handle, optional): device_handle for target device. Defaults to None.
gpureset (bool, optional): Value override for args.gpureset. Defaults to None.
clocks (bool, optional): Value override for args.clocks. Defaults to None.
fans (bool, optional): Value override for args.fans. Defaults to None.
profile (bool, optional): Value override for args.profile. Defaults to None.
xgmierr (bool, optional): Value override for args.xgmierr. Defaults to None.
perf_determinism (bool, optional): Value override for args.perf_determinism. Defaults to None.
compute_partition (bool, optional): Value override for args.compute_partition. Defaults to None.
memory_partition (bool, optional): Value override for args.memory_partition. Defaults to None.
power_cap (int, optional): Value override for args.power_cap. Defaults to None.
Raises:
ValueError: Value error if no gpu value is provided
IndexError: Index error if gpu list is empty
Return:
Nothing
"""
# Set args.* to passed in arguments
if gpu:
args.gpu = gpu
if gpureset:
args.gpureset = gpureset
if clocks:
args.clocks = clocks
if fans:
args.fans = fans
if profile:
args.profile = profile
if xgmierr:
args.xgmierr = xgmierr
if perf_determinism:
args.perf_determinism = perf_determinism
if compute_partition:
args.compute_partition = compute_partition
if memory_partition:
args.memory_partition = memory_partition
if power_cap:
args.power_cap = power_cap
# Handle No GPU passed
if args.gpu == None:
raise ValueError('No GPU provided, specific GPU target(s) are needed')
# Handle multiple GPUs
handled_multiple_gpus, device_handle = self.helpers.handle_gpus(args, self.logger, self.reset)
if handled_multiple_gpus:
return # This function is recursive
args.gpu = device_handle
# Get gpu_id for logging
gpu_id = self.helpers.get_gpu_id_from_device_handle(args.gpu)
# Error if no subcommand args are passed
if not any([args.gpureset, args.clocks, args.fans, args.profile, args.xgmierr, \
args.perf_determinism, args.compute_partition, args.memory_partition, \
args.power_cap]):
command = " ".join(sys.argv[1:])
raise AmdSmiRequiredCommandException(command, self.logger.format)
if args.gpureset:
if self.helpers.is_amd_device(args.gpu):
try:
amdsmi_interface.amdsmi_reset_gpu(args.gpu)
result = 'Successfully reset GPU'
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
result = "Failed to reset GPU"
else:
result = 'Unable to reset non-amd GPU'
self.logger.store_output(args.gpu, 'gpu_reset', result)
if args.clocks:
reset_clocks_results = {'overdrive': '',
'clocks': '',
'performance': ''}
try:
amdsmi_interface.amdsmi_set_gpu_overdrive_level(args.gpu, 0)
reset_clocks_results['overdrive'] = 'Overdrive set to 0'
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
reset_clocks_results['overdrive'] = "N/A"
logging.debug("Failed to reset overdrive on gpu %s | %s", gpu_id, e.get_error_info())
try:
level_auto = amdsmi_interface.AmdSmiDevPerfLevel.AUTO
amdsmi_interface.amdsmi_set_gpu_perf_level(args.gpu, level_auto)
reset_clocks_results['clocks'] = 'Successfully reset clocks'
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
reset_clocks_results['clocks'] = "N/A"
logging.debug("Failed to reset perf level on gpu %s | %s", gpu_id, e.get_error_info())
try:
level_auto = amdsmi_interface.AmdSmiDevPerfLevel.AUTO
amdsmi_interface.amdsmi_set_gpu_perf_level(args.gpu, level_auto)
reset_clocks_results['performance'] = 'Performance level reset to auto'
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
reset_clocks_results['performance'] = "N/A"
logging.debug("Failed to reset perf level on gpu %s | %s", gpu_id, e.get_error_info())
self.logger.store_output(args.gpu, 'reset_clocks', reset_clocks_results)
if args.fans:
try:
amdsmi_interface.amdsmi_reset_gpu_fan(args.gpu, 0)
result = 'Successfully reset fan speed to driver control'
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
result = "N/A"
logging.debug("Failed to reset fans on gpu %s | %s", gpu_id, e.get_error_info())
self.logger.store_output(args.gpu, 'reset_fans', result)
if args.profile:
reset_profile_results = {'power_profile' : '',
'performance_level': ''}
try:
power_profile_mask = amdsmi_interface.AmdSmiPowerProfilePresetMasks.BOOTUP_DEFAULT
amdsmi_interface.amdsmi_set_gpu_power_profile(args.gpu, 0, power_profile_mask)
reset_profile_results['power_profile'] = 'Successfully reset Power Profile'
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
reset_profile_results['power_profile'] = "N/A"
logging.debug("Failed to reset power profile on gpu %s | %s", gpu_id, e.get_error_info())
try:
level_auto = amdsmi_interface.AmdSmiDevPerfLevel.AUTO
amdsmi_interface.amdsmi_set_gpu_perf_level(args.gpu, level_auto)
reset_profile_results['performance_level'] = 'Successfully reset Performance Level'
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
reset_profile_results['performance_level'] = "N/A"
logging.debug("Failed to reset perf level on gpu %s | %s", gpu_id, e.get_error_info())
self.logger.store_output(args.gpu, 'reset_profile', reset_profile_results)
if args.xgmierr:
try:
amdsmi_interface.amdsmi_reset_gpu_xgmi_error(args.gpu)
result = 'Successfully reset XGMI Error count'
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
result = "N/A"
logging.debug("Failed to reset xgmi error count on gpu %s | %s", gpu_id, e.get_error_info())
self.logger.store_output(args.gpu, 'reset_xgmi_err', result)
if args.perf_determinism:
try:
level_auto = amdsmi_interface.AmdSmiDevPerfLevel.AUTO
amdsmi_interface.amdsmi_set_gpu_perf_level(args.gpu, level_auto)
result = 'Successfully disabled performance determinism'
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
result = "N/A"
logging.debug("Failed to set perf level on gpu %s | %s", gpu_id, e.get_error_info())
self.logger.store_output(args.gpu, 'reset_perf_determinism', result)
if args.compute_partition:
try:
amdsmi_interface.amdsmi_dev_compute_partition_reset(args.gpu)
result = 'Successfully reset compute partition'
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
result = "N/A"
logging.debug("Failed to reset compute partition on gpu %s | %s", gpu_id, e.get_error_info())
self.logger.store_output(args.gpu, 'reset_compute_partition', result)
if args.memory_partition:
try:
amdsmi_interface.amdsmi_dev_memory_partition_reset(args.gpu)
result = 'Successfully reset memory partition'
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
result = "N/A"
logging.debug("Failed to reset memory partition on gpu %s | %s", gpu_id, e.get_error_info())
self.logger.store_output(args.gpu, 'reset_memory_partition', result)
if args.power_cap:
try:
power_cap_info = amdsmi_interface.amdsmi_get_power_cap_info(args.gpu)
logging.debug(f"Power cap info for gpu {gpu_id} | {power_cap_info}")
default_power_cap = power_cap_info["default_power_cap"]
except amdsmi_exception.AmdSmiLibraryException as e:
raise ValueError(f"Unable to get power cap info from {gpu_id}") from e
if args.power_cap == default_power_cap:
self.logger.store_output(args.gpu, 'powercap', f"Power cap is already set to {default_power_cap}")
else:
try:
amdsmi_interface.amdsmi_set_power_cap(args.gpu, 0, default_power_cap * 1000000)
except amdsmi_exception.AmdSmiLibraryException as e:
if e.get_error_code() == amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_PERM:
raise PermissionError('Command requires elevation') from e
raise ValueError(f"Unable to reset power cap to {default_power_cap} on GPU {gpu_id}") from e
self.logger.store_output(args.gpu, 'powercap', f"Successfully set power cap to {default_power_cap}")
if multiple_devices:
self.logger.store_multiple_device_output()
return # Skip printing when there are multiple devices
self.logger.print_output()
def rocm_smi(self, args):
print("Placeholder for rocm-smi legacy commands")
def _event_thread(self, commands, i):
devices = commands.device_handles
if len(devices) == 0:
print("No GPUs on machine")
return
device = devices[i]
listener = amdsmi_interface.AmdSmiEventReader(device,
amdsmi_interface.AmdSmiEvtNotificationType)
values_dict = {}
while self.stop!='q':
try:
events = listener.read(10000)
for event in events:
values_dict["event"] = event["event"]
values_dict["message"] = event["message"]
commands.logger.store_output(device, 'values', values_dict)
commands.logger.print_output()
except amdsmi_exception.AmdSmiLibraryException as e:
if e.err_code != amdsmi_interface.amdsmi_wrapper.AMDSMI_STATUS_NO_DATA:
print(e)
except Exception as e:
print(e)
listener.stop()