def test_unknown_shape(self):
"""A test that the op runs when shape and rank are unknown."""
with spectral_ops_test_util.fft_kernel_label_map():
with self.test_session(use_gpu=True):
signal = array_ops.placeholder_with_default(
random_ops.random_normal((2, 3, 5)), tensor_shape.TensorShape(None))
self.assertIsNone(signal.shape.ndims)
mfcc_ops.mfccs_from_log_mel_spectrograms(signal).eval()
def test_error(self):
# num_mel_bins must be positive.
with self.assertRaises(ValueError):
signal = array_ops.zeros((2, 3, 0))
mfcc_ops.mfccs_from_log_mel_spectrograms(signal)
# signal must be float32
with self.assertRaises(ValueError):
signal = array_ops.zeros((2, 3, 5), dtype=dtypes.float64)
mfcc_ops.mfccs_from_log_mel_spectrograms(signal)
def test_error(self):
# num_mel_bins must be positive.
with self.assertRaises(ValueError):
signal = array_ops.zeros((2, 3, 0))
mfcc_ops.mfccs_from_log_mel_spectrograms(signal)
# signal must be float32
with self.assertRaises(ValueError):
signal = array_ops.zeros((2, 3, 5), dtype=dtypes.float64)
mfcc_ops.mfccs_from_log_mel_spectrograms(signal)
def test_basic(self):
"""A basic test that the op runs on random input."""
with spectral_ops_test_util.fft_kernel_label_map():
with self.test_session(use_gpu=True):
signal = random_ops.random_normal((2, 3, 5))
mfcc_ops.mfccs_from_log_mel_spectrograms(signal).eval()
def test_basic(self):
"""A basic test that the op runs on random input."""
with spectral_ops_test_util.fft_kernel_label_map():
with self.test_session(use_gpu=True):
signal = random_ops.random_normal((2, 3, 5))
mfcc_ops.mfccs_from_log_mel_spectrograms(signal).eval()
