def load_program_generator(path, model_type='PG+EE'):
checkpoint = load_cpu(path)
kwargs = checkpoint['program_generator_kwargs']
state = checkpoint['program_generator_state']
if model_type == 'FiLM':
print('Loading FiLMGen from ' + path)
kwargs = get_updated_args(kwargs, FiLMGen)
model = FiLMGen(**kwargs)
else:
print('Loading PG from ' + path)
model = Seq2Seq(**kwargs)
model.load_state_dict(state)
return model, kwargs
def load_program_generator(path, model_type="PG+EE"):
checkpoint = load_cpu(path)
kwargs = checkpoint["program_generator_kwargs"]
state = checkpoint["program_generator_state"]
if model_type == "FiLM":
print("Loading FiLMGen from " + path)
kwargs = get_updated_args(kwargs, FiLMGen)
model = FiLMGen(**kwargs)
else:
print("Loading PG from " + path)
model = Seq2Seq(**kwargs)
model.load_state_dict(state)
return model, kwargs
def load_program_generator(path, model_type='PG+EE'):
checkpoint = load_cpu(path)
kwargs = checkpoint['program_generator_kwargs']
state = checkpoint['program_generator_state']
if model_type == 'FiLM':
print('Loading FiLMGen from ' + path)
kwargs = get_updated_args(kwargs, FiLMGen)
model = FiLMGen(**kwargs)
else:
print('Loading PG from ' + path)
model = Seq2Seq(**kwargs)
state_stemed = {}
for k, v in state.iteritems():
k_new = '.'.join(k.split('.')[1:])
state_stemed[k_new] = v
model.load_state_dict(state_stemed)
return model, kwargs
def load_program_generator(path):
checkpoint = load_cpu(path)
model_type = checkpoint['args']['model_type']
kwargs = checkpoint['program_generator_kwargs']
state = checkpoint['program_generator_state']
if model_type in ['FiLM', 'MAC', 'RelNet', 'Control-EE']:
model = FiLMGen(**kwargs)
elif model_type == 'PG+EE' or model_type == 'PG':
if checkpoint['args']['ns_vqa']:
model = Seq2seqParser(checkpoint['vocab'])
else:
model = Seq2SeqAtt(**kwargs)
else:
model = None
if model is not None:
model.load_state_dict(state)
return model, kwargs
def load_program_generator(path, model_type='PG+EE'):
checkpoint = load_cpu(path)
kwargs = checkpoint['program_generator_kwargs']
state = checkpoint['program_generator_state']
if model_type == 'FiLM':
print('Loading FiLMGen from ' + path)
kwargs = get_updated_args(kwargs, FiLMGen)
model = FiLMGen(**kwargs)
new_state_dict = OrderedDict()
for k, v in state.items():
name = k[7:] # remove `module.`
new_state_dict[name] = v
state = new_state_dict
else:
print('Loading PG from ' + path)
model = Seq2Seq(**kwargs)
model.load_state_dict(state)
return model, kwargs
def load_program_generator(path):
checkpoint = load_cpu(path)
model_type = checkpoint['args']['model_type']
kwargs = checkpoint['program_generator_kwargs']
state = checkpoint['program_generator_state']
if model_type in ['FiLM', 'MAC', 'RelNet']:
kwargs = get_updated_args(kwargs, FiLMGen)
model = FiLMGen(**kwargs)
elif model_type == 'PG+EE':
if kwargs.rnn_attention:
model = Seq2SeqAtt(**kwargs)
else:
model = Seq2Seq(**kwargs)
else:
model = None
if model is not None:
model.load_state_dict(state)
return model, kwargs