def get_sys_info():
# delay these imports until now as they are only needed in this
# function which then exits.
import platform
import json
import multiprocessing
from numba import config
from numba import cuda as cu
from numba.cuda import cudadrv
from numba.cuda.cudadrv.driver import driver as cudriver
from numba import roc
from numba.roc.hlc import hlc, libhlc
import textwrap as tw
import ctypes as ct
import llvmlite.binding as llvmbind
import locale
from datetime import datetime
from itertools import chain
from subprocess import check_output, CalledProcessError
try:
fmt = "%-45s : %-s"
print("-" * 80)
print("__Time Stamp__")
print(datetime.utcnow())
print("")
print("__Hardware Information__")
system_name = platform.system()
print(fmt % ("Machine", platform.machine()))
print(fmt % ("CPU Name", llvmbind.get_host_cpu_name()))
if system_name == 'Linux':
strmatch = 'Cpus_allowed'
try:
loc = '/proc/self/status'
with open(loc, 'rt') as f:
proc_stat = f.read().splitlines()
for x in proc_stat:
if x.startswith(strmatch):
if x.startswith('%s:' % strmatch):
hexnum = '0x%s' % x.split(':')[1].strip()
acc_cpus = int(hexnum, 16)
_n = str(bin(acc_cpus).count('1'))
print(fmt %
("Number of accessible CPU cores", _n))
elif x.startswith('%s_list:' % strmatch):
_a = x.split(':')[1].strip()
print(fmt %
("Listed accessible CPUs cores", _a))
except Exception:
print(fmt % ("CPU count", multiprocessing.cpu_count()))
# See if CFS is in place
# https://www.kernel.org/doc/Documentation/scheduler/sched-bwc.txt
try:
def scrape_lines(loc):
with open(loc, 'rt') as f:
return f.read().splitlines()
loc = '/sys/fs/cgroup/cpuacct/cpu.cfs_period_us'
cfs_period = int(scrape_lines(loc)[0])
loc = '/sys/fs/cgroup/cpuacct/cpu.cfs_quota_us'
cfs_quota = int(scrape_lines(loc)[0])
if cfs_quota == -1:
print(fmt % ("CFS restrictions", "None"))
else:
runtime_amount = float(cfs_quota) / float(cfs_period)
print(fmt % ("CFS restrictions (CPUs worth of runtime)",
runtime_amount))
except Exception:
print(fmt % ("CFS restrictions", 'Information not available'))
else:
print(fmt % ("CPU count", multiprocessing.cpu_count()))
try:
featuremap = llvmbind.get_host_cpu_features()
except RuntimeError:
print(fmt % ("CPU Features", "NA"))
else:
features = sorted(
[key for key, value in featuremap.items() if value])
cpu_feat = tw.fill(' '.join(features), 80)
print(fmt % ("CPU Features", ""))
print(cpu_feat)
print("")
print("__OS Information__")
print(fmt % ("Platform", platform.platform(aliased=True)))
print(fmt % ("Release", platform.release()))
print(fmt % ("System Name", system_name))
print(fmt % ("Version", platform.version()))
try:
if system_name == 'Linux':
info = platform.linux_distribution()
elif system_name == 'Windows':
info = platform.win32_ver()
elif system_name == 'Darwin':
info = platform.mac_ver()
else:
raise RuntimeError("Unknown system.")
buf = ''.join([
x if x != '' else ' ' for x in list(chain.from_iterable(info))
])
print(fmt % ("OS specific info", buf))
if system_name == 'Linux':
print(fmt % ("glibc info", ' '.join(platform.libc_ver())))
except:
print("Error: System name incorrectly identified or unknown.")
print("")
print("__Python Information__")
print(fmt % ("Python Compiler", platform.python_compiler()))
print(fmt %
("Python Implementation", platform.python_implementation()))
print(fmt % ("Python Version", platform.python_version()))
lcl = []
try:
for x in locale.getdefaultlocale():
if x is not None:
lcl.append(x)
except Exception as e:
lcl.append(str(e))
print(fmt % ("Python Locale ", ' '.join(lcl)))
print("")
print("__LLVM information__")
print(fmt % ("LLVM version", '.'.join(
[str(k) for k in llvmbind.llvm_version_info])))
print("")
print("__CUDA Information__")
# Look for GPUs
try:
cu.list_devices()[0] # will a device initialise?
except Exception as e:
msg_not_found = "CUDA driver library cannot be found"
msg_disabled_by_user = "******"
msg_end = " or no CUDA enabled devices are present."
msg_generic_problem = "Error: CUDA device intialisation problem."
msg = getattr(e, 'msg', None)
if msg is not None:
if msg_not_found in msg:
err_msg = msg_not_found + msg_end
elif msg_disabled_by_user in msg:
err_msg = msg_disabled_by_user + msg_end
else:
err_msg = msg_generic_problem + " Message:" + msg
else:
err_msg = msg_generic_problem + " " + str(e)
# Best effort error report
print("%s\nError class: %s" % (err_msg, str(type(e))))
else:
try:
cu.detect()
dv = ct.c_int(0)
cudriver.cuDriverGetVersion(ct.byref(dv))
print(fmt % ("CUDA driver version", dv.value))
print("CUDA libraries:")
cudadrv.libs.test(sys.platform, print_paths=False)
except:
print(
"Error: Probing CUDA failed (device and driver present, runtime problem?)\n"
)
print("")
print("__ROC Information__")
roc_is_available = roc.is_available()
print(fmt % ("ROC available", roc_is_available))
toolchains = []
try:
libhlc.HLC()
toolchains.append('librocmlite library')
except:
pass
try:
cmd = hlc.CmdLine().check_tooling()
toolchains.append('ROC command line tools')
except:
pass
# if no ROC try and report why
if not roc_is_available:
from numba.roc.hsadrv.driver import hsa
try:
hsa.is_available
except Exception as e:
msg = str(e)
else:
msg = 'No ROC toolchains found.'
print(fmt % ("Error initialising ROC due to", msg))
if toolchains:
print(fmt % ("Available Toolchains", ', '.join(toolchains)))
try:
# ROC might not be available due to lack of tool chain, but HSA
# agents may be listed
from numba.roc.hsadrv.driver import hsa, dgpu_count
decode = lambda x: x.decode('utf-8') if isinstance(x, bytes) else x
print("\nFound %s HSA Agents:" % len(hsa.agents))
for i, agent in enumerate(hsa.agents):
print('Agent id : %s' % i)
print(' vendor: %s' % decode(agent.vendor_name))
print(' name: %s' % decode(agent.name))
print(' type: %s' % agent.device)
print("")
_dgpus = []
for a in hsa.agents:
if a.is_component and a.device == 'GPU':
_dgpus.append(decode(a.name))
print(fmt % ("Found %s discrete GPU(s)" % dgpu_count(), \
', '.join(_dgpus)))
except Exception as e:
print("No HSA Agents found, encountered exception when searching:")
print(e)
print("")
print("__SVML Information__")
# replicate some SVML detection logic from numba.__init__ here.
# if SVML load fails in numba.__init__ the splitting of the logic
# here will help diagnosis of the underlying issue
have_svml_library = True
try:
if sys.platform.startswith('linux'):
llvmbind.load_library_permanently("libsvml.so")
elif sys.platform.startswith('darwin'):
llvmbind.load_library_permanently("libsvml.dylib")
elif sys.platform.startswith('win'):
llvmbind.load_library_permanently("svml_dispmd")
else:
have_svml_library = False
except:
have_svml_library = False
func = getattr(llvmbind.targets, "has_svml", None)
llvm_svml_patched = func() if func is not None else False
svml_operational = (config.USING_SVML and llvm_svml_patched \
and have_svml_library)
print(fmt % ("SVML state, config.USING_SVML", config.USING_SVML))
print(fmt % ("SVML library found and loaded", have_svml_library))
print(fmt % ("llvmlite using SVML patched LLVM", llvm_svml_patched))
print(fmt % ("SVML operational", svml_operational))
# Check which threading backends are available.
print("")
print("__Threading Layer Information__")
def parse_error(e, backend):
# parses a linux based error message, this is to provide feedback
# and hide user paths etc
try:
path, problem, symbol = [x.strip() for x in e.msg.split(':')]
extn_dso = os.path.split(path)[1]
if backend in extn_dso:
return "%s: %s" % (problem, symbol)
except Exception:
pass
return "Unknown import problem."
try:
from numba.npyufunc import tbbpool
print(fmt % ("TBB Threading layer available", True))
except ImportError as e:
# might be a missing symbol due to e.g. tbb libraries missing
print(fmt % ("TBB Threading layer available", False))
print(fmt % ("+--> Disabled due to", parse_error(e, 'tbbpool')))
try:
from numba.npyufunc import omppool
print(fmt % ("OpenMP Threading layer available", True))
except ImportError as e:
print(fmt % ("OpenMP Threading layer available", False))
print(fmt % ("+--> Disabled due to", parse_error(e, 'omppool')))
try:
from numba.npyufunc import workqueue
print(fmt % ("Workqueue Threading layer available", True))
except ImportError as e:
print(fmt % ("Workqueue Threading layer available", False))
print(fmt % ("+--> Disabled due to", parse_error(e, 'workqueue')))
# look for numba env vars that are set
print("")
print("__Numba Environment Variable Information__")
_envvar_found = False
for k, v in os.environ.items():
if k.startswith('NUMBA_'):
print(fmt % (k, v))
_envvar_found = True
if not _envvar_found:
print("None set.")
# Look for conda and conda information
print("")
print("__Conda Information__")
cmd = ["conda", "info", "--json"]
try:
conda_out = check_output(cmd)
except Exception as e:
print("Conda not present/not working.\nError was %s\n" % e)
else:
data = ''.join(conda_out.decode("utf-8").splitlines())
jsond = json.loads(data)
keys = [
'conda_build_version', 'conda_env_version', 'platform',
'python_version', 'root_writable'
]
for k in keys:
try:
print(fmt % (k, jsond[k]))
except KeyError:
pass
# get info about current environment
cmd = ["conda", "list"]
try:
conda_out = check_output(cmd)
except CalledProcessError as e:
print("Error: Conda command failed. Error was %s\n" % e.output)
else:
print("")
print("__Current Conda Env__")
data = conda_out.decode("utf-8").splitlines()
for k in data:
if k[0] != '#': # don't show where the env is, personal data
print(k)
print("-" * 80)
except Exception as e:
print("Error: The system reporting tool has failed unexpectedly.")
print("Exception was:")
print(e)
finally:
print(
"%s" %
"If requested, please copy and paste the information between\n"
"the dashed (----) lines, or from a given specific section as\n"
"appropriate.\n\n"
"=============================================================\n"
"IMPORTANT: Please ensure that you are happy with sharing the\n"
"contents of the information present, any information that you\n"
"wish to keep private you should remove before sharing.\n"
"=============================================================\n")
def get_sysinfo():
# Gather the information that shouldn't raise exceptions
sys_info = {
_start: datetime.now(),
_start_utc: datetime.utcnow(),
_machine: platform.machine(),
_cpu_name: llvmbind.get_host_cpu_name(),
_cpu_count: multiprocessing.cpu_count(),
_platform_name: platform.platform(aliased=True),
_platform_release: platform.release(),
_os_name: platform.system(),
_os_version: platform.version(),
_python_comp: platform.python_compiler(),
_python_impl: platform.python_implementation(),
_python_version: platform.python_version(),
_numba_env_vars: {k: v for (k, v) in os.environ.items()
if k.startswith('NUMBA_')},
_numba_version: version_number,
_llvm_version: '.'.join(str(i) for i in llvmbind.llvm_version_info),
_llvmlite_version: llvmlite_version,
_roc_available: roc.is_available(),
_psutil: _psutil_import,
}
# CPU features
try:
feature_map = llvmbind.get_host_cpu_features()
except RuntimeError as e:
_error_log.append(f'Error (CPU features): {e}')
else:
features = sorted([key for key, value in feature_map.items() if value])
sys_info[_cpu_features] = ' '.join(features)
# Python locale
# On MacOSX, getdefaultlocale can raise. Check again if Py > 3.7.5
try:
# If $LANG is unset, getdefaultlocale() can return (None, None), make
# sure we can encode this as strings by casting explicitly.
sys_info[_python_locale] = '.'.join([str(i) for i in
locale.getdefaultlocale()])
except Exception as e:
_error_log.append(f'Error (locale): {e}')
# CUDA information
try:
cu.list_devices()[0] # will a device initialise?
except Exception as e:
sys_info[_cu_dev_init] = False
msg_not_found = "CUDA driver library cannot be found"
msg_disabled_by_user = "******"
msg_end = " or no CUDA enabled devices are present."
msg_generic_problem = "CUDA device intialisation problem."
msg = getattr(e, 'msg', None)
if msg is not None:
if msg_not_found in msg:
err_msg = msg_not_found + msg_end
elif msg_disabled_by_user in msg:
err_msg = msg_disabled_by_user + msg_end
else:
err_msg = msg_generic_problem + " Message:" + msg
else:
err_msg = msg_generic_problem + " " + str(e)
# Best effort error report
_warning_log.append("Warning (cuda): %s\nException class: %s" %
(err_msg, str(type(e))))
else:
try:
sys_info[_cu_dev_init] = True
output = StringIO()
with redirect_stdout(output):
cu.detect()
sys_info[_cu_detect_out] = output.getvalue()
output.close()
dv = ctypes.c_int(0)
cudriver.cuDriverGetVersion(ctypes.byref(dv))
sys_info[_cu_drv_ver] = dv.value
rtver = ctypes.c_int(0)
curuntime.cudaRuntimeGetVersion(ctypes.byref(rtver))
sys_info[_cu_rt_ver] = rtver.value
output = StringIO()
with redirect_stdout(output):
cudadrv.libs.test(sys.platform, print_paths=False)
sys_info[_cu_lib_test] = output.getvalue()
output.close()
except Exception as e:
_warning_log.append(
"Warning (cuda): Probing CUDA failed "
"(device and driver present, runtime problem?)\n"
f"(cuda) {type(e)}: {e}")
# ROC information
# If no ROC try and report why
if not sys_info[_roc_available]:
from numba.roc.hsadrv.driver import hsa
try:
hsa.is_available
except Exception as e:
msg = str(e)
else:
msg = 'No ROC toolchains found.'
_warning_log.append(f"Warning (roc): Error initialising ROC: {msg}")
toolchains = []
try:
libhlc.HLC()
toolchains.append('librocmlite library')
except Exception:
pass
try:
cmd = hlc.CmdLine().check_tooling()
toolchains.append('ROC command line tools')
except Exception:
pass
sys_info[_roc_toolchains] = toolchains
try:
# ROC might not be available due to lack of tool chain, but HSA
# agents may be listed
from numba.roc.hsadrv.driver import hsa, dgpu_count
def decode(x):
return x.decode('utf-8') if isinstance(x, bytes) else x
sys_info[_hsa_agents_count] = len(hsa.agents)
agents = []
for i, agent in enumerate(hsa.agents):
agents.append({
'Agent id': i,
'Vendor': decode(agent.vendor_name),
'Name': decode(agent.name),
'Type': agent.device,
})
sys_info[_hsa_agents] = agents
_dgpus = []
for a in hsa.agents:
if a.is_component and a.device == 'GPU':
_dgpus.append(decode(a.name))
sys_info[_hsa_gpus_count] = dgpu_count()
sys_info[_hsa_gpus] = ', '.join(_dgpus)
except Exception as e:
_warning_log.append(
"Warning (roc): No HSA Agents found, "
f"encountered exception when searching: {e}")
# SVML information
# Replicate some SVML detection logic from numba.__init__ here.
# If SVML load fails in numba.__init__ the splitting of the logic
# here will help diagnosing the underlying issue.
svml_lib_loaded = True
try:
if sys.platform.startswith('linux'):
llvmbind.load_library_permanently("libsvml.so")
elif sys.platform.startswith('darwin'):
llvmbind.load_library_permanently("libsvml.dylib")
elif sys.platform.startswith('win'):
llvmbind.load_library_permanently("svml_dispmd")
else:
svml_lib_loaded = False
except Exception:
svml_lib_loaded = False
func = getattr(llvmbind.targets, "has_svml", None)
sys_info[_llvm_svml_patched] = func() if func else False
sys_info[_svml_state] = config.USING_SVML
sys_info[_svml_loaded] = svml_lib_loaded
sys_info[_svml_operational] = all((
sys_info[_svml_state],
sys_info[_svml_loaded],
sys_info[_llvm_svml_patched],
))
# Check which threading backends are available.
def parse_error(e, backend):
# parses a linux based error message, this is to provide feedback
# and hide user paths etc
try:
path, problem, symbol = [x.strip() for x in e.msg.split(':')]
extn_dso = os.path.split(path)[1]
if backend in extn_dso:
return "%s: %s" % (problem, symbol)
except Exception:
pass
return "Unknown import problem."
try:
from numba.np.ufunc import tbbpool # NOQA
sys_info[_tbb_thread] = True
except ImportError as e:
# might be a missing symbol due to e.g. tbb libraries missing
sys_info[_tbb_thread] = False
sys_info[_tbb_error] = parse_error(e, 'tbbpool')
try:
from numba.np.ufunc import omppool
sys_info[_openmp_thread] = True
sys_info[_openmp_vendor] = omppool.openmp_vendor
except ImportError as e:
sys_info[_openmp_thread] = False
sys_info[_openmp_error] = parse_error(e, 'omppool')
try:
from numba.np.ufunc import workqueue # NOQA
sys_info[_wkq_thread] = True
except ImportError as e:
sys_info[_wkq_thread] = True
sys_info[_wkq_error] = parse_error(e, 'workqueue')
# Look for conda and installed packages information
cmd = ('conda', 'info', '--json')
try:
conda_out = check_output(cmd)
except Exception as e:
_warning_log.append(f'Warning: Conda not available.\n Error was {e}\n')
# Conda is not available, try pip list to list installed packages
cmd = (sys.executable, '-m', 'pip', 'list')
try:
reqs = check_output(cmd)
except Exception as e:
_error_log.append(f'Error (pip): {e}')
else:
sys_info[_inst_pkg] = reqs.decode().splitlines()
else:
jsond = json.loads(conda_out.decode())
keys = {
'conda_build_version': _conda_build_ver,
'conda_env_version': _conda_env_ver,
'platform': _conda_platform,
'python_version': _conda_python_ver,
'root_writable': _conda_root_writable,
}
for conda_k, sysinfo_k in keys.items():
sys_info[sysinfo_k] = jsond.get(conda_k, 'N/A')
# Get info about packages in current environment
cmd = ('conda', 'list')
try:
conda_out = check_output(cmd)
except CalledProcessError as e:
_error_log.append(f'Error (conda): {e}')
else:
data = conda_out.decode().splitlines()
sys_info[_inst_pkg] = [l for l in data if not l.startswith('#')]
sys_info.update(get_os_spec_info(sys_info[_os_name]))
sys_info[_errors] = _error_log
sys_info[_warnings] = _warning_log
sys_info[_runtime] = (datetime.now() - sys_info[_start]).total_seconds()
return sys_info
def get_sys_info():
# delay these imports until now as they are only needed in this
# function which then exits.
import platform
import json
import multiprocessing
from numba import config
from numba import cuda as cu
from numba.cuda import cudadrv
from numba.cuda.cudadrv.driver import driver as cudriver
from numba import roc
from numba.roc.hlc import hlc, libhlc
import textwrap as tw
import ctypes as ct
import llvmlite.binding as llvmbind
import locale
from datetime import datetime
from itertools import chain
from subprocess import check_output, CalledProcessError
try:
fmt = "%-45s : %-s"
print("-" * 80)
print("__Time Stamp__")
print(datetime.utcnow())
print("")
print("__Hardware Information__")
system_name = platform.system()
print(fmt % ("Machine", platform.machine()))
print(fmt % ("CPU Name", llvmbind.get_host_cpu_name()))
if system_name == 'Linux':
strmatch = 'Cpus_allowed'
try:
loc = '/proc/self/status'
with open(loc, 'rt') as f:
proc_stat = f.read().splitlines()
for x in proc_stat:
if x.startswith(strmatch):
if x.startswith('%s:' % strmatch):
hexnum = '0x%s' % x.split(':')[1].strip()
acc_cpus = int(hexnum, 16)
_n = str(bin(acc_cpus).count('1'))
print(fmt % ("Number of accessible CPU cores",
_n))
elif x.startswith('%s_list:' % strmatch):
_a = x.split(':')[1].strip()
print(fmt % ("Listed accessible CPUs cores",
_a))
except BaseException:
print(fmt % ("CPU count", multiprocessing.cpu_count()))
# See if CFS is in place
# https://www.kernel.org/doc/Documentation/scheduler/sched-bwc.txt
try:
def scrape_lines(loc):
with open(loc, 'rt') as f:
return f.read().splitlines()
loc = '/sys/fs/cgroup/cpuacct/cpu.cfs_period_us'
cfs_period = int(scrape_lines(loc)[0])
loc = '/sys/fs/cgroup/cpuacct/cpu.cfs_quota_us'
cfs_quota = int(scrape_lines(loc)[0])
if cfs_quota == -1:
print(fmt % ("CFS restrictions", "None"))
else:
runtime_amount = float(cfs_quota)/float(cfs_period)
print(fmt % ("CFS restrictions (CPUs worth of runtime)",
runtime_amount))
except BaseException:
print(fmt % ("CFS restrictions", 'Information not available'))
else:
print(fmt % ("CPU count", multiprocessing.cpu_count()))
try:
featuremap = llvmbind.get_host_cpu_features()
except RuntimeError:
print(fmt % ("CPU Features", "NA"))
else:
features = sorted([key for key, value in featuremap.items()
if value])
cpu_feat = tw.fill(' '.join(features), 80)
print(fmt % ("CPU Features", ""))
print(cpu_feat)
print("")
print("__OS Information__")
print(fmt % ("Platform", platform.platform(aliased=True)))
print(fmt % ("Release", platform.release()))
print(fmt % ("System Name", system_name))
print(fmt % ("Version", platform.version()))
try:
if system_name == 'Linux':
info = platform.linux_distribution()
elif system_name == 'Windows':
info = platform.win32_ver()
elif system_name == 'Darwin':
info = platform.mac_ver()
else:
raise RuntimeError("Unknown system.")
buf = ''.join([x
if x != '' else ' '
for x in list(chain.from_iterable(info))])
print(fmt % ("OS specific info", buf))
if system_name == 'Linux':
print(fmt % ("glibc info", ' '.join(platform.libc_ver())))
except:
print("Error: System name incorrectly identified or unknown.")
print("")
print("__Python Information__")
print(fmt % ("Python Compiler", platform.python_compiler()))
print(
fmt %
("Python Implementation",
platform.python_implementation()))
print(fmt % ("Python Version", platform.python_version()))
lcl = []
try:
for x in locale.getdefaultlocale():
if x is not None:
lcl.append(x)
except BaseException as e:
lcl.append(str(e))
print(fmt % ("Python Locale ", ' '.join(lcl)))
print("")
print("__LLVM information__")
print(
fmt %
("LLVM version", '.'.join(
[str(k) for k in llvmbind.llvm_version_info])))
print("")
print("__CUDA Information__")
# Look for GPUs
try:
cu.list_devices()[0] # will a device initialise?
except BaseException as e:
msg_not_found = "CUDA driver library cannot be found"
msg_disabled_by_user = "******"
msg_end = " or no CUDA enabled devices are present."
msg_generic_problem = "Error: CUDA device intialisation problem."
msg = getattr(e, 'msg', None)
if msg is not None:
if msg_not_found in msg:
err_msg = msg_not_found + msg_end
elif msg_disabled_by_user in msg:
err_msg = msg_disabled_by_user + msg_end
else:
err_msg = msg_generic_problem + " Message:" + msg
else:
err_msg = msg_generic_problem + " " + str(e)
# Best effort error report
print("%s\nError class: %s" % (err_msg, str(type(e))))
else:
try:
cu.detect()
dv = ct.c_int(0)
cudriver.cuDriverGetVersion(ct.byref(dv))
print(fmt % ("CUDA driver version", dv.value))
print("CUDA libraries:")
cudadrv.libs.test(sys.platform, print_paths=False)
except:
print(
"Error: Probing CUDA failed (device and driver present, runtime problem?)\n")
print("")
print("__ROC Information__")
roc_is_available = roc.is_available()
print(fmt % ("ROC available", roc_is_available))
toolchains = []
try:
libhlc.HLC()
toolchains.append('librocmlite library')
except:
pass
try:
cmd = hlc.CmdLine().check_tooling()
toolchains.append('ROC command line tools')
except:
pass
# if no ROC try and report why
if not roc_is_available:
from numba.roc.hsadrv.driver import hsa
try:
hsa.is_available
except BaseException as e:
msg = str(e)
else:
msg = 'No ROC toolchains found.'
print(fmt % ("Error initialising ROC due to", msg))
if toolchains:
print(fmt % ("Available Toolchains", ', '.join(toolchains)))
try:
# ROC might not be available due to lack of tool chain, but HSA
# agents may be listed
from numba.roc.hsadrv.driver import hsa, dgpu_count
decode = lambda x: x.decode('utf-8') if isinstance(x, bytes) else x
print("\nFound %s HSA Agents:" % len(hsa.agents))
for i, agent in enumerate(hsa.agents):
print('Agent id : %s' % i)
print(' vendor: %s' % decode(agent.vendor_name))
print(' name: %s' % decode(agent.name))
print(' type: %s' % agent.device)
print("")
_dgpus = []
for a in hsa.agents:
if a.is_component and a.device == 'GPU':
_dgpus.append(decode(a.name))
print(fmt % ("Found %s discrete GPU(s)" % dgpu_count(), \
', '.join(_dgpus)))
except Exception as e:
print("No HSA Agents found, encountered exception when searching:")
print(e)
print("")
print("__SVML Information__")
# replicate some SVML detection logic from numba.__init__ here.
# if SVML load fails in numba.__init__ the splitting of the logic
# here will help diagnosis of the underlying issue
have_svml_library = True
try:
if sys.platform.startswith('linux'):
llvmbind.load_library_permanently("libsvml.so")
elif sys.platform.startswith('darwin'):
llvmbind.load_library_permanently("libsvml.dylib")
elif sys.platform.startswith('win'):
llvmbind.load_library_permanently("svml_dispmd")
else:
have_svml_library = False
except:
have_svml_library = False
func = getattr(llvmbind.targets, "has_svml", None)
llvm_svml_patched = func() if func is not None else False
svml_operational = (config.USING_SVML and llvm_svml_patched \
and have_svml_library)
print(fmt % ("SVML state, config.USING_SVML", config.USING_SVML))
print(fmt % ("SVML library found and loaded", have_svml_library))
print(fmt % ("llvmlite using SVML patched LLVM", llvm_svml_patched))
print(fmt % ("SVML operational", svml_operational))
# Check which threading backends are available.
print("")
print("__Threading Layer Information__")
def parse_error(e, backend):
# parses a linux based error message, this is to provide feedback
# and hide user paths etc
try:
path, problem, symbol = [x.strip() for x in e.msg.split(':')]
extn_dso = os.path.split(path)[1]
if backend in extn_dso:
return "%s: %s" % (problem, symbol)
except BaseException:
pass
return "Unknown import problem."
try:
from numba.npyufunc import tbbpool
print(fmt % ("TBB Threading layer available", True))
except ImportError as e:
# might be a missing symbol due to e.g. tbb libraries missing
print(fmt % ("TBB Threading layer available", False))
print(fmt % ("+--> Disabled due to",
parse_error(e, 'tbbpool')))
try:
from numba.npyufunc import omppool
print(fmt % ("OpenMP Threading layer available", True))
except ImportError as e:
print(fmt % ("OpenMP Threading layer available", False))
print(fmt % ("+--> Disabled due to",
parse_error(e, 'omppool')))
try:
from numba.npyufunc import workqueue
print(fmt % ("Workqueue Threading layer available", True))
except ImportError as e:
print(fmt % ("Workqueue Threading layer available", False))
print(fmt % ("+--> Disabled due to",
parse_error(e, 'workqueue')))
# look for numba env vars that are set
print("")
print("__Numba Environment Variable Information__")
_envvar_found = False
for k, v in os.environ.items():
if k.startswith('NUMBA_'):
print(fmt % (k, v))
_envvar_found = True
if not _envvar_found:
print("None set.")
# Look for conda and conda information
print("")
print("__Conda Information__")
cmd = ["conda", "info", "--json"]
try:
conda_out = check_output(cmd)
except Exception as e:
print(
"Conda not present/not working.\nError was %s\n" % e)
else:
data = ''.join(conda_out.decode("utf-8").splitlines())
jsond = json.loads(data)
keys = ['conda_build_version',
'conda_env_version',
'platform',
'python_version',
'root_writable']
for k in keys:
try:
print(fmt % (k, jsond[k]))
except KeyError:
pass
# get info about current environment
cmd = ["conda", "list"]
try:
conda_out = check_output(cmd)
except CalledProcessError as e:
print("Error: Conda command failed. Error was %s\n" % e.output)
else:
print("")
print("__Current Conda Env__")
data = conda_out.decode("utf-8").splitlines()
for k in data:
if k[0] != '#': # don't show where the env is, personal data
print(k)
print("-" * 80)
except Exception as e:
print("Error: The system reporting tool has failed unexpectedly.")
print("Exception was:")
print(e)
finally:
print(
"%s" %
"If requested, please copy and paste the information between\n"
"the dashed (----) lines, or from a given specific section as\n"
"appropriate.\n\n"
"=============================================================\n"
"IMPORTANT: Please ensure that you are happy with sharing the\n"
"contents of the information present, any information that you\n"
"wish to keep private you should remove before sharing.\n"
"=============================================================\n")
def get_sys_info():
# delay these imports until now as they are only needed in this
# function which then exits.
import platform
import json
from numba import config
from numba import cuda as cu
from numba.cuda import cudadrv
from numba.cuda.cudadrv.driver import driver as cudriver
from numba import roc
from numba.roc.hlc import hlc, libhlc
import textwrap as tw
import ctypes as ct
import llvmlite.binding as llvmbind
import locale
from datetime import datetime
from itertools import chain
from subprocess import check_output, CalledProcessError
try:
fmt = "%-35s : %-s"
print("-" * 80)
print("__Time Stamp__")
print(datetime.utcnow())
print("")
print("__Hardware Information__")
print(fmt % ("Machine", platform.machine()))
print(fmt % ("CPU Name", llvmbind.get_host_cpu_name()))
try:
featuremap = llvmbind.get_host_cpu_features()
except RuntimeError:
print(fmt % ("CPU Features", "NA"))
else:
features = sorted(
[key for key, value in featuremap.items() if value])
cpu_feat = tw.fill(' '.join(features), 80)
print(fmt % ("CPU Features", ""))
print(cpu_feat)
print("")
print("__OS Information__")
print(fmt % ("Platform", platform.platform(aliased=True)))
print(fmt % ("Release", platform.release()))
system_name = platform.system()
print(fmt % ("System Name", system_name))
print(fmt % ("Version", platform.version()))
try:
if system_name == 'Linux':
info = platform.linux_distribution()
elif system_name == 'Windows':
info = platform.win32_ver()
elif system_name == 'Darwin':
info = platform.mac_ver()
else:
raise RuntimeError("Unknown system.")
buf = ''.join([
x if x != '' else ' ' for x in list(chain.from_iterable(info))
])
print(fmt % ("OS specific info", buf))
if system_name == 'Linux':
print(fmt % ("glibc info", ' '.join(platform.libc_ver())))
except:
print("Error: System name incorrectly identified or unknown.")
print("")
print("__Python Information__")
print(fmt % ("Python Compiler", platform.python_compiler()))
print(fmt %
("Python Implementation", platform.python_implementation()))
print(fmt % ("Python Version", platform.python_version()))
print(fmt % ("Python Locale ", ' '.join(
[x for x in locale.getdefaultlocale() if x is not None])))
print("")
print("__LLVM information__")
print(fmt % ("LLVM version", '.'.join(
[str(k) for k in llvmbind.llvm_version_info])))
print("")
print("__CUDA Information__")
# Look for GPUs
try:
cu.list_devices()[0] # will a device initialise?
except BaseException as e:
msg_not_found = "CUDA driver library cannot be found"
msg_disabled_by_user = "******"
msg_end = " or no CUDA enabled devices are present."
msg_generic_problem = "Error: CUDA device intialisation problem."
msg = getattr(e, 'msg', None)
if msg is not None:
if msg_not_found in msg:
err_msg = msg_not_found + msg_end
elif msg_disabled_by_user in msg:
err_msg = msg_disabled_by_user + msg_end
else:
err_msg = msg_generic_problem + " Message:" + msg
else:
err_msg = msg_generic_problem + " " + str(e)
# Best effort error report
print("%s\nError class: %s" % (err_msg, str(type(e))))
else:
try:
cu.detect()
dv = ct.c_int(0)
cudriver.cuDriverGetVersion(ct.byref(dv))
print(fmt % ("CUDA driver version", dv.value))
print("CUDA libraries:")
cudadrv.libs.test(sys.platform, print_paths=False)
except:
print(
"Error: Probing CUDA failed (device and driver present, runtime problem?)\n"
)
print("")
print("__ROC Information__")
roc_is_available = roc.is_available()
print(fmt % ("ROC available", roc_is_available))
toolchains = []
try:
libhlc.HLC()
toolchains.append('librocmlite library')
except:
pass
try:
cmd = hlc.CmdLine().check_tooling()
toolchains.append('ROC command line tools')
except:
pass
# if no ROC try and report why
if not roc_is_available:
from numba.roc.hsadrv.driver import hsa
try:
hsa.is_available
except BaseException as e:
msg = str(e)
else:
msg = 'No ROC toolchains found.'
print(fmt % ("Error initialising ROC due to", msg))
if toolchains:
print(fmt % ("Available Toolchains", ', '.join(toolchains)))
try:
# ROC might not be available due to lack of tool chain, but HSA
# agents may be listed
from numba.roc.hsadrv.driver import hsa, dgpu_count
print("\nFound %s HSA Agents:" % len(hsa.agents))
for i, agent in enumerate(hsa.agents):
print('Agent id : %s' % i)
print(' vendor: %s' % agent.vendor_name)
print(' name: %s' % agent.name)
print(' type: %s' % agent.device)
print("")
_dgpus = []
for a in hsa.agents:
if a.is_component and a.device == 'GPU':
_dgpus.append(a.name)
print(fmt % ("Found %s discrete GPU(s)" % dgpu_count(), \
', '.join(_dgpus)))
except Exception as e:
print("No HSA Agents found, encountered exception when searching:")
print(e)
print("")
print("__SVML Information__")
# replicate some SVML detection logic from numba.__init__ here.
# if SVML load fails in numba.__init__ the splitting of the logic
# here will help diagnosis of the underlying issue
have_svml_library = True
try:
if sys.platform.startswith('linux'):
llvmbind.load_library_permanently("libsvml.so")
elif sys.platform.startswith('darwin'):
llvmbind.load_library_permanently("libsvml.dylib")
elif sys.platform.startswith('win'):
llvmbind.load_library_permanently("svml_dispmd")
else:
have_svml_library = False
except:
have_svml_library = False
func = getattr(llvmbind.targets, "has_svml", None)
llvm_svml_patched = func() if func is not None else False
svml_operational = (config.USING_SVML and llvm_svml_patched \
and have_svml_library)
print(fmt % ("SVML state, config.USING_SVML", config.USING_SVML))
print(fmt % ("SVML library found and loaded", have_svml_library))
print(fmt % ("llvmlite using SVML patched LLVM", llvm_svml_patched))
print(fmt % ("SVML operational:", svml_operational))
# Look for conda and conda information
print("")
print("__Conda Information__")
cmd = ["conda", "info", "--json"]
try:
conda_out = check_output(cmd)
except Exception as e:
print("Conda not present/not working.\nError was %s\n" % e)
else:
data = ''.join(conda_out.decode("utf-8").splitlines())
jsond = json.loads(data)
keys = [
'conda_build_version', 'conda_env_version', 'platform',
'python_version', 'root_writable'
]
for k in keys:
try:
print(fmt % (k, jsond[k]))
except KeyError:
pass
# get info about current environment
cmd = ["conda", "list"]
try:
conda_out = check_output(cmd)
except CalledProcessError as e:
print("Error: Conda command failed. Error was %s\n" % e.output)
else:
print("")
print("__Current Conda Env__")
data = conda_out.decode("utf-8").splitlines()
for k in data:
if k[0] != '#': # don't show where the env is, personal data
print(k)
print("-" * 80)
except Exception as e:
print("Error: The system reporting tool has failed unexpectedly.")
print("Exception was:")
print(e)
finally:
print(
"%s" %
"If requested, please copy and paste the information between\n"
"the dashed (----) lines, or from a given specific section as\n"
"appropriate.\n\n"
"=============================================================\n"
"IMPORTANT: Please ensure that you are happy with sharing the\n"
"contents of the information present, any information that you\n"
"wish to keep private you should remove before sharing.\n"
"=============================================================\n")
def get_sys_info():
# delay these imports until now as they are only needed in this
# function which then exits.
import platform
import json
from numba import config
from numba import cuda as cu
from numba.cuda import cudadrv
from numba.cuda.cudadrv.driver import driver as cudriver
from numba import roc
from numba.roc.hlc import hlc, libhlc
import textwrap as tw
import ctypes as ct
import llvmlite.binding as llvmbind
import locale
from datetime import datetime
from itertools import chain
from subprocess import check_output, CalledProcessError
try:
fmt = "%-35s : %-s"
print("-" * 80)
print("__Time Stamp__")
print(datetime.utcnow())
print("")
print("__Hardware Information__")
print(fmt % ("Machine", platform.machine()))
print(fmt % ("CPU Name", llvmbind.get_host_cpu_name()))
try:
featuremap = llvmbind.get_host_cpu_features()
except RuntimeError:
print(fmt % ("CPU Features", "NA"))
else:
features = sorted([key for key, value in featuremap.items()
if value])
cpu_feat = tw.fill(' '.join(features), 80)
print(fmt % ("CPU Features", ""))
print(cpu_feat)
print("")
print("__OS Information__")
print(fmt % ("Platform", platform.platform(aliased=True)))
print(fmt % ("Release", platform.release()))
system_name = platform.system()
print(fmt % ("System Name", system_name))
print(fmt % ("Version", platform.version()))
try:
if system_name == 'Linux':
info = platform.linux_distribution()
elif system_name == 'Windows':
info = platform.win32_ver()
elif system_name == 'Darwin':
info = platform.mac_ver()
else:
raise RuntimeError("Unknown system.")
buf = ''.join([x
if x != '' else ' '
for x in list(chain.from_iterable(info))])
print(fmt % ("OS specific info", buf))
if system_name == 'Linux':
print(fmt % ("glibc info", ' '.join(platform.libc_ver())))
except:
print("Error: System name incorrectly identified or unknown.")
print("")
print("__Python Information__")
print(fmt % ("Python Compiler", platform.python_compiler()))
print(
fmt %
("Python Implementation",
platform.python_implementation()))
print(fmt % ("Python Version", platform.python_version()))
print(
fmt %
("Python Locale ", ' '.join(
[x for x in locale.getdefaultlocale() if x is not None])))
print("")
print("__LLVM information__")
print(
fmt %
("LLVM version", '.'.join(
[str(k) for k in llvmbind.llvm_version_info])))
print("")
print("__CUDA Information__")
# Look for GPUs
try:
cu.list_devices()[0] # will a device initialise?
except BaseException as e:
msg_not_found = "CUDA driver library cannot be found"
msg_disabled_by_user = "******"
msg_end = " or no CUDA enabled devices are present."
msg_generic_problem = "Error: CUDA device intialisation problem."
msg = getattr(e, 'msg', None)
if msg is not None:
if msg_not_found in msg:
err_msg = msg_not_found + msg_end
elif msg_disabled_by_user in msg:
err_msg = msg_disabled_by_user + msg_end
else:
err_msg = msg_generic_problem + " Message:" + msg
else:
err_msg = msg_generic_problem + " " + str(e)
# Best effort error report
print("%s\nError class: %s" % (err_msg, str(type(e))))
else:
try:
cu.detect()
dv = ct.c_int(0)
cudriver.cuDriverGetVersion(ct.byref(dv))
print(fmt % ("CUDA driver version", dv.value))
print("CUDA libraries:")
cudadrv.libs.test(sys.platform, print_paths=False)
except:
print(
"Error: Probing CUDA failed (device and driver present, runtime problem?)\n")
print("")
print("__ROC Information__")
roc_is_available = roc.is_available()
print(fmt % ("ROC available", roc_is_available))
toolchains = []
try:
libhlc.HLC()
toolchains.append('librocmlite library')
except:
pass
try:
cmd = hlc.CmdLine().check_tooling()
toolchains.append('ROC command line tools')
except:
pass
# if no ROC try and report why
if not roc_is_available:
from numba.roc.hsadrv.driver import hsa
try:
hsa.is_available
except BaseException as e:
msg = str(e)
else:
msg = 'No ROC toolchains found.'
print(fmt % ("Error initialising ROC due to", msg))
if toolchains:
print(fmt % ("Available Toolchains", ', '.join(toolchains)))
try:
# ROC might not be available due to lack of tool chain, but HSA
# agents may be listed
from numba.roc.hsadrv.driver import hsa, dgpu_count
decode = lambda x: x.decode('utf-8') if isinstance(x, bytes) else x
print("\nFound %s HSA Agents:" % len(hsa.agents))
for i, agent in enumerate(hsa.agents):
print('Agent id : %s' % i)
print(' vendor: %s' % decode(agent.vendor_name))
print(' name: %s' % decode(agent.name))
print(' type: %s' % agent.device)
print("")
_dgpus = []
for a in hsa.agents:
if a.is_component and a.device == 'GPU':
_dgpus.append(decode(a.name))
print(fmt % ("Found %s discrete GPU(s)" % dgpu_count(), \
', '.join(_dgpus)))
except Exception as e:
print("No HSA Agents found, encountered exception when searching:")
print(e)
print("")
print("__SVML Information__")
# replicate some SVML detection logic from numba.__init__ here.
# if SVML load fails in numba.__init__ the splitting of the logic
# here will help diagnosis of the underlying issue
have_svml_library = True
try:
if sys.platform.startswith('linux'):
llvmbind.load_library_permanently("libsvml.so")
elif sys.platform.startswith('darwin'):
llvmbind.load_library_permanently("libsvml.dylib")
elif sys.platform.startswith('win'):
llvmbind.load_library_permanently("svml_dispmd")
else:
have_svml_library = False
except:
have_svml_library = False
func = getattr(llvmbind.targets, "has_svml", None)
llvm_svml_patched = func() if func is not None else False
svml_operational = (config.USING_SVML and llvm_svml_patched \
and have_svml_library)
print(fmt % ("SVML state, config.USING_SVML", config.USING_SVML))
print(fmt % ("SVML library found and loaded", have_svml_library))
print(fmt % ("llvmlite using SVML patched LLVM", llvm_svml_patched))
print(fmt % ("SVML operational:", svml_operational))
# Look for conda and conda information
print("")
print("__Conda Information__")
cmd = ["conda", "info", "--json"]
try:
conda_out = check_output(cmd)
except Exception as e:
print(
"Conda not present/not working.\nError was %s\n" % e)
else:
data = ''.join(conda_out.decode("utf-8").splitlines())
jsond = json.loads(data)
keys = ['conda_build_version',
'conda_env_version',
'platform',
'python_version',
'root_writable']
for k in keys:
try:
print(fmt % (k, jsond[k]))
except KeyError:
pass
# get info about current environment
cmd = ["conda", "list"]
try:
conda_out = check_output(cmd)
except CalledProcessError as e:
print("Error: Conda command failed. Error was %s\n" % e.output)
else:
print("")
print("__Current Conda Env__")
data = conda_out.decode("utf-8").splitlines()
for k in data:
if k[0] != '#': # don't show where the env is, personal data
print(k)
print("-" * 80)
except Exception as e:
print("Error: The system reporting tool has failed unexpectedly.")
print("Exception was:")
print(e)
finally:
print(
"%s" %
"If requested, please copy and paste the information between\n"
"the dashed (----) lines, or from a given specific section as\n"
"appropriate.\n\n"
"=============================================================\n"
"IMPORTANT: Please ensure that you are happy with sharing the\n"
"contents of the information present, any information that you\n"
"wish to keep private you should remove before sharing.\n"
"=============================================================\n")