blob: c803c18d467e1323465da655baff0b5731c8ec1f [file] [log] [blame]
import argparse
import os.path
import sys
import torch
SHARED_LIBRARY_EXTENSIONS = {'linux': 'so', 'darwin': 'dylib', 'win32': 'dll'}
def get_custom_op_library_path():
extension = SHARED_LIBRARY_EXTENSIONS[sys.platform]
path = os.path.abspath('build/libcustom_ops.{}'.format(extension))
assert os.path.exists(path), path
return path
class Model(torch.jit.ScriptModule):
def __init__(self):
super(Model, self).__init__()
@torch.jit.script_method
def forward(self, input):
return torch.ops.custom.op_with_defaults(input)[0] + 1
def main():
parser = argparse.ArgumentParser(
description="Serialize a script module with custom ops"
)
parser.add_argument("--export-script-module-to", required=True)
options = parser.parse_args()
torch.ops.load_library(get_custom_op_library_path())
model = Model()
model.save(options.export_script_module_to)
if __name__ == '__main__':
main()