def test_unknown_shape(self):
"""A test that the op runs when shape and rank are unknown."""
with self.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_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.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_unknown_shape(self):
"""A test that the op runs when shape and rank are unknown."""
if context.executing_eagerly():
return
signal = array_ops.placeholder_with_default(
random_ops.random_normal((2, 3, 5)), tensor_shape.TensorShape(None))
self.assertIsNone(signal.shape.ndims)
self.evaluate(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.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, dtype): """A basic test that the op runs on random input.""" signal = random_ops.random_normal((2, 3, 5), dtype=dtype) self.evaluate(mfcc_ops.mfccs_from_log_mel_spectrograms(signal))
def test_basic(self, dtype):
"""A basic test that the op runs on random input."""
with compat.forward_compatibility_horizon(2019, 10, 13):
signal = random_ops.random_normal((2, 3, 5), dtype=dtype)
self.evaluate(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.session(use_gpu=True):
signal = random_ops.random_normal((2, 3, 5))
mfcc_ops.mfccs_from_log_mel_spectrograms(signal).eval()