def _code(
model,
num_heads,
num_bases,
aggrs,
hidden,
use_old_code_dataset,
):
code_data(data_location(), use_old_code_dataset=use_old_code_dataset)
if model in ["egc", "egc-softmax"]:
return EgcCodeConfig(
hidden=hidden,
num_bases=num_bases,
num_heads=num_heads,
softmax="softmax" in model,
aggrs=aggrs,
use_old_code_dataset=use_old_code_dataset,
)
if model == "gcn":
return GcnCodeConfig(hidden, use_old_code_dataset=use_old_code_dataset)
elif model == "gat":
return GatCodeConfig(hidden, use_old_code_dataset=use_old_code_dataset)
elif model == "gin":
return GinCodeConfig(hidden, use_old_code_dataset=use_old_code_dataset)
elif model in ["mpnn-sum", "mpnn-max"]:
return MpnnCodeConfig(
hidden,
aggr="add" if "sum" in model else "max",
use_old_code_dataset=use_old_code_dataset,
)
elif model == "pna":
return PnaCodeConfig(hidden, use_old_code_dataset=use_old_code_dataset)
else:
raise ValueError
def _zinc(model, num_samples, egc_num_bases, egc_num_heads, aggrs, hidden):
zinc_data(data_location())
if model in ["egc", "egc-softmax"]:
config = ZincEgcConfig(
num_samples=num_samples,
softmax="softmax" in model,
num_bases=egc_num_bases,
num_heads=egc_num_heads,
aggrs=aggrs,
hidden=hidden,
)
else:
raise ValueError
return config
def _arxiv(model, num_heads, num_bases, aggrs, hidden):
arxiv_data(data_location())
if model == "gcn":
return GcnArxivConfig(hidden)
elif model == "gat":
return GatArxivConfig(hidden)
elif model == "gin":
return GinArxivConfig(hidden)
elif model in ["egc", "egc-softmax"]:
return EgcArxivConfig(
num_heads=num_heads,
num_bases=num_bases,
softmax="softmax" in model,
aggrs=aggrs,
hidden=hidden,
)
elif model in ["mpnn-sum", "mpnn-max"]:
return MpnnArxivConfig(hidden, aggr="add" if "sum" in model else "max")
elif model == "pna":
return PnaArxivConfig(hidden)
else:
raise ValueError
def _mol(model, dataset, num_heads, num_bases, aggrs, hidden):
mol_data(data_location(), dataset)
if model in ["egc", "egc-softmax"]:
return EgcMolConfig(
dataset,
hidden=hidden,
num_bases=num_bases,
num_heads=num_heads,
softmax="softmax" in model,
aggrs=aggrs,
)
elif model == "gcn":
return GcnMolConfig(dataset, hidden)
elif model == "gat":
return GatMolConfig(dataset, hidden)
elif model == "gin":
return GinMolConfig(dataset, hidden)
elif model in ["mpnn-sum", "mpnn-max"]:
return MpnnMolConfig(dataset,
hidden,
aggr="add" if "sum" in model else "max")
else:
raise ValueError
def data(self, pinned_objs, hparams):
return mol_data(
data_location(), dataset=self.dataset, batch_size=hparams["batch_size"]
)
def data(self, pinned_objs, hparams):
return cifar_data(data_location(), batch_size=hparams["batch_size"])
def data(self, pinned_objs, hparams):
return arxiv_data(data_location())
def data(self, pinned_objs, hparams):
return code_data(
data_location(),
batch_size=128,
use_old_code_dataset=self.use_old_code_dataset,
)