diff --git a/tests/tts_tests/test_tacotron2_tf_model.py b/tests/tts_tests/test_tacotron2_tf_model.py
index 431b0c2f..515a6834 100644
--- a/tests/tts_tests/test_tacotron2_tf_model.py
+++ b/tests/tts_tests/test_tacotron2_tf_model.py
@@ -38,6 +38,7 @@ class TacotronTFTrainTest(unittest.TestCase):
         mel_spec = tf.convert_to_tensor(mel_spec.cpu().numpy())
         return chars_seq, chars_seq_lengths, mel_spec, mel_postnet_spec, mel_lengths, stop_targets, speaker_ids
 
+    @unittest.skipIf(use_cuda, " [!] Skip Test: TfLite conversion does not work on GPU.")
     def test_train_step(self):
         """test forward pass"""
         (
@@ -70,6 +71,7 @@ class TacotronTFTrainTest(unittest.TestCase):
         # inference pass
         output = model(chars_seq, training=False)
 
+    @unittest.skipIf(use_cuda, " [!] Skip Test: TfLite conversion does not work on GPU.")
     def test_forward_attention(
         self,
     ):
@@ -103,6 +105,7 @@ class TacotronTFTrainTest(unittest.TestCase):
         # inference pass
         output = model(chars_seq, training=False)
 
+    @unittest.skipIf(use_cuda, " [!] Skip Test: TfLite conversion does not work on GPU.")
     def test_tflite_conversion(
         self,
     ):  # pylint:disable=no-self-use
diff --git a/tests/vocoder_tests/test_vocoder_tf_melgan_generator.py b/tests/vocoder_tests/test_vocoder_tf_melgan_generator.py
index 67968225..225ceaf5 100644
--- a/tests/vocoder_tests/test_vocoder_tf_melgan_generator.py
+++ b/tests/vocoder_tests/test_vocoder_tf_melgan_generator.py
@@ -1,9 +1,15 @@
+import unittest
+
 import numpy as np
 import tensorflow as tf
+import torch
 
 from TTS.vocoder.tf.models.melgan_generator import MelganGenerator
 
+use_cuda = torch.cuda.is_available()
 
+
+@unittest.skipIf(use_cuda, " [!] Skip Test: Loosy TF support.")
 def test_melgan_generator():
     hop_length = 256
     model = MelganGenerator()
diff --git a/tests/vocoder_tests/test_vocoder_tf_pqmf.py b/tests/vocoder_tests/test_vocoder_tf_pqmf.py
index f1c3666b..6acb20d9 100644
--- a/tests/vocoder_tests/test_vocoder_tf_pqmf.py
+++ b/tests/vocoder_tests/test_vocoder_tf_pqmf.py
@@ -1,7 +1,9 @@
 import os
+import unittest
 
 import soundfile as sf
 import tensorflow as tf
+import torch
 from librosa.core import load
 
 from tests import get_tests_input_path, get_tests_output_path, get_tests_path
@@ -9,8 +11,10 @@ from TTS.vocoder.tf.layers.pqmf import PQMF
 
 TESTS_PATH = get_tests_path()
 WAV_FILE = os.path.join(get_tests_input_path(), "example_1.wav")
+use_cuda = torch.cuda.is_available()
 
 
+@unittest.skipIf(use_cuda, " [!] Skip Test: Loosy TF support.")
 def test_pqmf():
     w, sr = load(WAV_FILE)