blob: 4788f48db8d38cc7a20a15b431ab6aeea37fdd23 [file] [log] [blame]
import sys
import os
import torch
class Setup(object):
def setup(self):
raise NotImplementedError()
def shutdown(self):
raise NotImplementedError()
class FileSetup(object):
path = None
def shutdown(self):
if os.path.exists(self.path):
os.remove(self.path)
pass
class EvalModeForLoadedModule(FileSetup):
path = 'dropout_model.pt'
def setup(self):
class Model(torch.jit.ScriptModule):
def __init__(self):
super(Model, self).__init__()
self.dropout = torch.nn.Dropout(0.1)
@torch.jit.script_method
def forward(self, x):
x = self.dropout(x)
return x
model = Model()
model = model.train()
model.save(self.path)
class SerializationInterop(FileSetup):
path = 'ivalue.pt'
def setup(self):
ones = torch.ones(2, 2)
twos = torch.ones(3, 5) * 2
value = (ones, twos)
torch.save(value, self.path, _use_new_zipfile_serialization=True)
tests = [
EvalModeForLoadedModule(),
SerializationInterop(),
]
def setup():
for test in tests:
test.setup()
def shutdown():
for test in tests:
test.shutdown()
if __name__ == "__main__":
command = sys.argv[1]
if command == "setup":
setup()
elif command == "shutdown":
shutdown()