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from typing import List, Union
from codecarbon.core import cpu, gpu, powermetrics
from codecarbon.core.config import parse_gpu_ids
from codecarbon.core.util import detect_cpu_model, is_linux_os, is_mac_os, is_windows_os
from codecarbon.external.hardware import CPU, GPU, MODE_CPU_LOAD, AppleSiliconChip
from codecarbon.external.logger import logger
from codecarbon.external.ram import RAM
class ResourceTracker:
cpu_tracker = gpu_tracker = ram_tracker = "Unspecified"
def __init__(self, tracker):
self.tracker = tracker
def set_RAM_tracking(self):
logger.info("[setup] RAM Tracking...")
if self.tracker._force_ram_power is not None:
self.ram_tracker = (
f"User specified constant: {self.tracker._force_ram_power} Watts"
)
logger.info(
f"Using user-provided RAM power: {self.tracker._force_ram_power} Watts"
)
else:
self.ram_tracker = "RAM power estimation model"
ram = RAM(
tracking_mode=self.tracker._tracking_mode,
force_ram_power=self.tracker._force_ram_power,
)
self.tracker._conf["ram_total_size"] = ram.machine_memory_GB
self.tracker._hardware: List[Union[RAM, CPU, GPU, AppleSiliconChip]] = [ram]
def set_CPU_tracking(self):
logger.info("[setup] CPU Tracking...")
cpu_number = self.tracker._conf.get("cpu_physical_count")
tdp = cpu.TDP()
if self.tracker._force_cpu_power is not None:
logger.info(
f"Using user-provided CPU power: {self.tracker._force_cpu_power} Watts"
)
self.cpu_tracker = "User Input TDP constant"
max_power = self.tracker._force_cpu_power
else:
max_power = tdp.tdp * cpu_number if tdp.tdp is not None else None
if self.tracker._conf.get("force_mode_cpu_load", False) and (
tdp.tdp is not None or self.tracker._force_cpu_power is not None
):
if cpu.is_psutil_available():
# Register a CPU with MODE_CPU_LOAD
model = tdp.model
hardware_cpu = CPU.from_utils(
self.tracker._output_dir,
MODE_CPU_LOAD,
model,
max_power,
tracking_mode=self.tracker._tracking_mode,
)
self.cpu_tracker = MODE_CPU_LOAD
self.tracker._conf["cpu_model"] = hardware_cpu.get_model()
self.tracker._hardware.append(hardware_cpu)
return
else:
logger.warning(
"Force CPU load mode requested but psutil is not available."
)
if cpu.is_powergadget_available() and self.tracker._force_cpu_power is None:
logger.info("Tracking Intel CPU via Power Gadget")
self.cpu_tracker = "Power Gadget"
hardware_cpu = CPU.from_utils(
self.tracker._output_dir, "intel_power_gadget"
)
self.tracker._hardware.append(hardware_cpu)
self.tracker._conf["cpu_model"] = hardware_cpu.get_model()
elif cpu.is_rapl_available():
logger.info("Tracking Intel CPU via RAPL interface")
self.cpu_tracker = "RAPL"
hardware_cpu = CPU.from_utils(
output_dir=self.tracker._output_dir, mode="intel_rapl"
)
self.tracker._hardware.append(hardware_cpu)
self.tracker._conf["cpu_model"] = hardware_cpu.get_model()
if "AMD Ryzen Threadripper" in self.tracker._conf["cpu_model"]:
logger.warning(
"The RAPL energy and power reported is divided by 2 for all 'AMD Ryzen Threadripper' as it seems to give better results."
)
# change code to check if powermetrics needs to be installed or just sudo setup
elif (
powermetrics.is_powermetrics_available()
and self.tracker._force_cpu_power is None
):
logger.info("Tracking Apple CPU and GPU via PowerMetrics")
self.gpu_tracker = "PowerMetrics"
self.cpu_tracker = "PowerMetrics"
hardware_cpu = AppleSiliconChip.from_utils(
self.tracker._output_dir, chip_part="CPU"
)
self.tracker._hardware.append(hardware_cpu)
self.tracker._conf["cpu_model"] = hardware_cpu.get_model()
hardware_gpu = AppleSiliconChip.from_utils(
self.tracker._output_dir, chip_part="GPU"
)
self.tracker._hardware.append(hardware_gpu)
self.tracker._conf["gpu_model"] = hardware_gpu.get_model()
self.tracker._conf["gpu_count"] = 1
else:
# Explain what to install to increase accuracy
cpu_tracking_install_instructions = ""
if is_mac_os():
if (
"M1" in detect_cpu_model()
or "M2" in detect_cpu_model()
or "M3" in detect_cpu_model()
):
cpu_tracking_install_instructions = ""
cpu_tracking_install_instructions = "Mac OS and ARM processor detected: Please enable PowerMetrics sudo to measure CPU"
else:
cpu_tracking_install_instructions = "Mac OS detected: Please install Intel Power Gadget or enable PowerMetrics sudo to measure CPU"
elif is_windows_os():
cpu_tracking_install_instructions = "Windows OS detected: Please install Intel Power Gadget to measure CPU"
elif is_linux_os():
cpu_tracking_install_instructions = "Linux OS detected: Please ensure RAPL files exist at /sys/class/powercap/intel-rapl/subsystem to measure CPU"
logger.warning(
f"No CPU tracking mode found. Falling back on estimation based on TDP for CPU. \n {cpu_tracking_install_instructions}\n"
)
self.cpu_tracker = "TDP constant"
model = tdp.model
if (max_power is None) and self.tracker._force_cpu_power:
# We haven't been able to calculate CPU power but user has input a default one. We use it
user_input_power = self.tracker._force_cpu_power
logger.debug(f"Using user input TDP: {user_input_power} W")
self.cpu_tracker = "User Input TDP constant"
max_power = user_input_power
logger.info(f"CPU Model on constant consumption mode: {model}")
self.tracker._conf["cpu_model"] = model
if tdp:
if cpu.is_psutil_available():
logger.warning(
"No CPU tracking mode found. Falling back on CPU load mode."
)
hardware_cpu = CPU.from_utils(
self.tracker._output_dir,
MODE_CPU_LOAD,
model,
max_power,
tracking_mode=self.tracker._tracking_mode,
)
self.cpu_tracker = MODE_CPU_LOAD
else:
logger.warning(
"No CPU tracking mode found. Falling back on CPU constant mode."
)
hardware_cpu = CPU.from_utils(
self.tracker._output_dir, "constant", model, max_power
)
self.cpu_tracker = "global constant"
self.tracker._hardware.append(hardware_cpu)
else:
if cpu.is_psutil_available():
logger.warning(
"Failed to match CPU TDP constant. Falling back on CPU load mode."
)
hardware_cpu = CPU.from_utils(
self.tracker._output_dir,
MODE_CPU_LOAD,
model,
max_power,
tracking_mode=self.tracker._tracking_mode,
)
self.cpu_tracker = MODE_CPU_LOAD
else:
logger.warning(
"Failed to match CPU TDP constant. Falling back on a global constant."
)
self.cpu_tracker = "global constant"
hardware_cpu = CPU.from_utils(self.tracker._output_dir, "constant")
self.tracker._hardware.append(hardware_cpu)
def set_GPU_tracking(self):
logger.info("[setup] GPU Tracking...")
if self.tracker._gpu_ids:
# If _gpu_ids is a string or a list of int, parse it to a list of ints
if isinstance(self.tracker._gpu_ids, str) or (
isinstance(self.tracker._gpu_ids, list)
and all(isinstance(gpu_id, int) for gpu_id in self.tracker._gpu_ids)
):
self.tracker._gpu_ids: List = parse_gpu_ids(self.tracker._gpu_ids)
self.tracker._conf["gpu_ids"] = self.tracker._gpu_ids
self.tracker._conf["gpu_count"] = len(self.tracker._gpu_ids)
else:
logger.warning(
"Invalid gpu_ids format. Expected a string or a list of ints."
)
if gpu.is_gpu_details_available():
logger.info("Tracking Nvidia GPU via pynvml")
gpu_devices = GPU.from_utils(self.tracker._gpu_ids)
self.tracker._hardware.append(gpu_devices)
gpu_names = [n["name"] for n in gpu_devices.devices.get_gpu_static_info()]
gpu_names_dict = Counter(gpu_names)
self.tracker._conf["gpu_model"] = "".join(
[f"{i} x {name}" for name, i in gpu_names_dict.items()]
)
if self.tracker._conf.get("gpu_count") is None:
self.tracker._conf["gpu_count"] = len(
gpu_devices.devices.get_gpu_static_info()
)
self.gpu_tracker = "pynvml"
else:
logger.info("No GPU found.")
def set_CPU_GPU_ram_tracking(self):
"""
Set up CPU, GPU and RAM tracking based on the user's configuration.
param tracker: BaseEmissionsTracker object
"""
self.set_RAM_tracking()
self.set_CPU_tracking()
self.set_GPU_tracking()
logger.info(
f"""The below tracking methods have been set up:
RAM Tracking Method: {self.ram_tracker}
CPU Tracking Method: {self.cpu_tracker}
GPU Tracking Method: {self.gpu_tracker}
"""
)
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