update melgan training test batch size

This commit is contained in:
Eren Gölge 2021-05-12 10:12:11 +02:00
parent 0213e1cbf4
commit da49089a72
2 changed files with 5 additions and 5 deletions

View File

@ -23,7 +23,7 @@ class GE2ELoss(nn.Module):
self.b = nn.Parameter(torch.tensor(init_b)) self.b = nn.Parameter(torch.tensor(init_b))
self.loss_method = loss_method self.loss_method = loss_method
print(" > Initialised Generalized End-to-End loss") print(" > Initialized Generalized End-to-End loss")
assert self.loss_method in ["softmax", "contrast"] assert self.loss_method in ["softmax", "contrast"]
@ -136,7 +136,7 @@ class AngleProtoLoss(nn.Module):
self.b = nn.Parameter(torch.tensor(init_b)) self.b = nn.Parameter(torch.tensor(init_b))
self.criterion = torch.nn.CrossEntropyLoss() self.criterion = torch.nn.CrossEntropyLoss()
print(" > Initialised Angular Prototypical loss") print(" > Initialized Angular Prototypical loss")
def forward(self, x): def forward(self, x):
""" """

View File

@ -9,14 +9,14 @@ config_path = os.path.join(get_tests_output_path(), "test_vocoder_config.json")
output_path = os.path.join(get_tests_output_path(), "train_outputs") output_path = os.path.join(get_tests_output_path(), "train_outputs")
config = MelganConfig( config = MelganConfig(
batch_size=8, batch_size=4,
eval_batch_size=8, eval_batch_size=4,
num_loader_workers=0, num_loader_workers=0,
num_val_loader_workers=0, num_val_loader_workers=0,
run_eval=True, run_eval=True,
test_delay_epochs=-1, test_delay_epochs=-1,
epochs=1, epochs=1,
seq_len=8192, seq_len=2048,
eval_split_size=1, eval_split_size=1,
print_step=1, print_step=1,
print_eval=True, print_eval=True,