Files
test/tests/performance/api/device.py
Sergey Sharybin 60ca0742cb Benchmark: Support running benchmark with HW RT enabled
Similar to the regression tests it is possible to append -RT suffix
to the compute type to enable hardware ray-tracing.

For example HIP_0 will run benchmark on first HIP device without
hardware ray-tracing, HIP-RT_0 will run benchmark on the same device
but will enable hardware ray-tracing.

The downside of this change is that it will make it so METAL device
will no longer use HW-RT on M3 and aboce, and explicit METAL-RT is
to be used. This is because benchmark was relying on the Auto
configuration which has different behavior depending on the device
generation.

Pull Request: https://projects.blender.org/blender/blender/pulls/136308
2025-03-24 15:47:42 +01:00

75 lines
2.4 KiB
Python

# SPDX-FileCopyrightText: 2021-2023 Blender Authors
#
# SPDX-License-Identifier: Apache-2.0
import platform
import subprocess
def get_cpu_name() -> str:
# Get full CPU name.
if platform.system() == "Windows":
return platform.processor()
elif platform.system() == "Darwin":
cmd = ['/usr/sbin/sysctl', "-n", "machdep.cpu.brand_string"]
return subprocess.check_output(cmd).strip().decode('utf-8', 'ignore')
else:
with open('/proc/cpuinfo') as f:
for line in f:
if line.startswith('model name'):
return line.split(':')[1].strip()
return "Unknown CPU"
def get_gpu_device(args: None) -> list:
# Get the list of available Cycles GPU devices.
import bpy
prefs = bpy.context.preferences
if 'cycles' not in prefs.addons.keys():
return []
cprefs = prefs.addons['cycles'].preferences
result = []
for device_type, _, _, _ in cprefs.get_device_types(bpy.context):
cprefs.compute_device_type = device_type
devices = cprefs.get_devices_for_type(device_type)
index = 0
for device in devices:
if device.type == device_type:
result.append({'type': device.type, 'name': device.name, 'index': index})
if device.type in {"HIP", "METAL", "ONEAPI"}:
result.append({'type': f"{device.type}-RT", 'name': device.name, 'index': index})
index += 1
return result
class TestDevice:
def __init__(self, device_type: str, device_id: str, name: str, operating_system: str):
self.type = device_type
self.id = device_id
self.name = name
self.operating_system = operating_system
class TestMachine:
def __init__(self, env, need_gpus: bool):
operating_system = platform.system()
self.devices = [TestDevice('CPU', 'CPU', get_cpu_name(), operating_system)]
self.has_gpus = need_gpus
if need_gpus and env.blender_executable:
gpu_devices, _ = env.run_in_blender(get_gpu_device, {})
for gpu_device in gpu_devices:
device_type = gpu_device['type']
device_name = gpu_device['name']
device_id = gpu_device['type'] + "_" + str(gpu_device['index'])
self.devices.append(TestDevice(device_type, device_id, device_name, operating_system))
def cpu_device(self) -> TestDevice:
return self.devices[0]