def generate_main(data_dir, extra_flags=None):
if extra_flags is None:
extra_flags = [
'--print-alignment',
]
generate_parser = options.get_generation_parser()
generate_args = options.parse_args_and_arch(
generate_parser,
[
data_dir,
'--path',
os.path.join(data_dir, 'checkpoint_last.pt'),
'--beam',
'3',
'--batch-size',
'64',
'--max-len-b',
'5',
'--gen-subset',
'valid',
'--no-progress-bar',
] + (extra_flags or []),
)
# evaluate model in batch mode
generate.main(generate_args)
# evaluate model interactively
generate_args.buffer_size = 0
generate_args.input = '-'
generate_args.max_sentences = None
orig_stdin = sys.stdin
sys.stdin = StringIO('h e l l o\n')
interactive.main(generate_args)
sys.stdin = orig_stdin
def generate_main(data_dir, extra_flags=None, path=None):
if extra_flags is None:
extra_flags = [
"--print-alignment",
]
if path is None:
path = os.path.join(data_dir, "checkpoint_last.pt")
generate_parser = options.get_generation_parser()
generate_args = options.parse_args_and_arch(
generate_parser,
[
data_dir,
"--path",
path,
"--beam",
"3",
"--batch-size",
"64",
"--max-len-b",
"5",
"--gen-subset",
"valid",
"--no-progress-bar",
"--num-workers",
"0",
]
+ (extra_flags or []),
)
# evaluate model in batch mode
generate.main(generate_args)
# evaluate model interactively
generate_args.buffer_size = 0
generate_args.input = "-"
generate_args.batch_size = None
orig_stdin = sys.stdin
sys.stdin = StringIO("h e l l o\n")
interactive.main(generate_args)
sys.stdin = orig_stdin