def __call__(self, parser, args, values, option_string=None):
output = '''\
Horovod v{version}:
Available Frameworks:
[{tensorflow}] TensorFlow
[{torch}] PyTorch
[{mxnet}] MXNet
Available Controllers:
[{mpi}] MPI
[{gloo}] Gloo
Available Tensor Operations:
[{nccl_ops}] NCCL
[{ddl_ops}] DDL
[{mlsl_ops}] MLSL
[{mpi_ops}] MPI
[{gloo_ops}] Gloo\
'''.format(
version=horovod.__version__,
tensorflow=CheckBuildAction.get_check(
extension_available('tensorflow')),
torch=CheckBuildAction.get_check(extension_available('torch')),
mxnet=CheckBuildAction.get_check(extension_available('mxnet')),
mpi=CheckBuildAction.get_check(mpi_built()),
gloo=CheckBuildAction.get_check(gloo_built()),
nccl_ops=CheckBuildAction.get_check(nccl_built()),
ddl_ops=CheckBuildAction.get_check(ddl_built()),
mpi_ops=CheckBuildAction.get_check(mpi_built()),
mlsl_ops=CheckBuildAction.get_check(mlsl_built()),
gloo_ops=CheckBuildAction.get_check(gloo_built()))
print(textwrap.dedent(output))
os._exit(0)
def check_build(verbose):
def get_check(value):
return 'X' if value else ' '
output = '''{verbose_newline}\
Horovod v{version}:
Available Frameworks:
[{tensorflow}] TensorFlow
[{torch}] PyTorch
[{mxnet}] MXNet
Available Controllers:
[{mpi}] MPI
[{gloo}] Gloo
Available Tensor Operations:
[{nccl_ops}] NCCL
[{ddl_ops}] DDL
[{mlsl_ops}] MLSL
[{mpi_ops}] MPI
[{gloo_ops}] Gloo\
'''.format(verbose_newline='\n' if verbose else '',
version=horovod.__version__,
tensorflow=get_check(
extension_available('tensorflow', verbose=verbose)),
torch=get_check(extension_available('torch', verbose=verbose)),
mxnet=get_check(extension_available('mxnet', verbose=verbose)),
mpi=get_check(mpi_built(verbose=verbose)),
gloo=get_check(gloo_built(verbose=verbose)),
nccl_ops=get_check(nccl_built(verbose=verbose)),
ddl_ops=get_check(ddl_built(verbose=verbose)),
mpi_ops=get_check(mpi_built(verbose=verbose)),
mlsl_ops=get_check(mlsl_built(verbose=verbose)),
gloo_ops=get_check(gloo_built(verbose=verbose)))
print(textwrap.dedent(output))
os._exit(0)