Fix Pylint issues

This commit is contained in:
Reuben Morais
2019-07-19 09:08:51 +02:00
parent 509292d56a
commit 11e7895329
35 changed files with 270 additions and 316 deletions
+7 -7
View File
@@ -2,7 +2,7 @@ import unittest
import torch as T
from utils.generic_utils import save_checkpoint, save_best_model
from layers.tacotron import Prenet, CBHG, Decoder, Encoder
from layers.tacotron import Prenet
OUT_PATH = '/tmp/test.pth.tar'
@@ -11,14 +11,14 @@ class ModelSavingTests(unittest.TestCase):
def save_checkpoint_test(self):
# create a dummy model
model = Prenet(128, out_features=[256, 128])
model = T.nn.DataParallel(layer)
model = T.nn.DataParallel(layer) #FIXME: undefined variable layer
# save the model
save_checkpoint(model, None, 100, OUTPATH, 1, 1)
save_checkpoint(model, None, 100, OUT_PATH, 1, 1)
# load the model to CPU
model_dict = torch.load(
MODEL_PATH, map_location=lambda storage, loc: storage)
model_dict = T.load(
MODEL_PATH, map_location=lambda storage, loc: storage) #FIXME: undefined variable MODEL_PATH
model.load_state_dict(model_dict['model'])
def save_best_model_test(self):
@@ -27,9 +27,9 @@ class ModelSavingTests(unittest.TestCase):
model = T.nn.DataParallel(layer)
# save the model
best_loss = save_best_model(model, None, 0, 100, OUT_PATH, 10, 1)
save_best_model(model, None, 0, 100, OUT_PATH, 10, 1)
# load the model to CPU
model_dict = torch.load(
model_dict = T.load(
MODEL_PATH, map_location=lambda storage, loc: storage)
model.load_state_dict(model_dict['model'])