def test_specnorm(self): layer_test(DynastesDepthwiseConv2D, kwargs={ 'kernel_size': (3, 3), 'kernel_normalizer': 'spectral' }, input_shape=(4, 16, 16, 5))
def test_simple(self): layer_test(DynastesConv2D, kwargs={ 'filters': 3, 'kernel_size': (3, 3), 'activation': 'swish' }, input_shape=(4, 16, 16, 3))
def test_simple(self): layer_test(DynastesConv1D, kwargs={ 'filters': 3, 'kernel_size': 3, 'activation': 'mish' }, input_shape=(5, 32, 3))
def test_specnorm(self): layer_test(DynastesDepthwiseConv1D, kwargs={ 'kernel_size': 3, 'kernel_normalizer': 'spectral', 'kernel_regularizer': 'orthogonal' }, input_shape=(5, 32, 3))
def test_specnorm(self): layer_test(DynastesConv2D, kwargs={ 'filters': 7, 'kernel_size': (3, 3), 'kernel_normalizer': 'spectral', 'kernel_regularizer': 'orthogonal' }, input_shape=(4, 16, 16, 5))
def test_specnorm(self): layer_test(DynastesConv1D, kwargs={ 'filters': 3, 'kernel_size': 3, 'kernel_normalizer': 'spectral', 'use_wscale': True, 'kernel_regularizer': 'orthogonal' }, input_shape=(5, 32, 3))
def test_specnorm(self): layer_test(DynastesDense, kwargs={ 'units': 12, 'kernel_normalizer': 'spectral', 'use_wscale': True, 'wnorm': True, 'kernel_regularizer': 'orthogonal' }, input_shape=(5, 32, 3))
def test_simple(self): layer_test(DynastesConv2DTranspose, kwargs={ 'filters': 3, 'kernel_size': (3, 3), 'strides': (2, 2), 'padding': 'same' }, input_shape=(None, 16, 16, 3), expected_output_shape=(None, 32, 32, 3))
def test_simple(self): layer_test(SelfAttentionBlock1D, kwargs={ 'attention_dim': 8, 'kernel_size': 3, 'output_dim': 16, 'num_heads': 4, 'multiquery_attention': True }, input_shape=(5, 32, 3))
def test_simple(self): layer_test(Wave2STFTLayer, kwargs={ 'n_bins': 128, 'hop_length': 64, 'padding': 64, 'hq': True }, input_shape=(5, 32, 2), expected_output_dtype=tf.complex128)
def test_specnorm(self): layer_test(DynastesConv2DTranspose, kwargs={ 'filters': 7, 'kernel_size': (3, 3), 'strides': (2, 2), 'padding': 'same', 'kernel_normalizer': 'spectral', 'kernel_regularizer': 'orthogonal' }, input_shape=(None, 16, 16, 5), expected_output_shape=(None, 32, 32, 7))
def test_simple(self): layer_test(DynastesDepthwiseConv2D, kwargs={'kernel_size': (3, 3)}, input_shape=(4, 16, 16, 3))
def test_simple(self): layer_test(Upsampling2D, kwargs={'strides': (2, 2)}, input_shape=(None, 16, 16, 3), expected_output_shape=(None, 32, 32, 3))
def test_simple(self): layer_test(DynastesDepthwiseConv1D, kwargs={'kernel_size': 3}, input_shape=(5, 32, 3))
def test_simple(self): layer_test(DynastesDense, kwargs={'units': 12}, input_shape=(5, 32, 3))
def test_simple(self): layer_test(Upsampling1D, kwargs={'strides': 2}, input_shape=(None, 32, 3), expected_output_shape=(None, 64, 3))
def test_simple(self): layer_test(STFT2MelspectrogramLayer, kwargs={'n_mels': 128}, input_shape=(5, 32, 128, 2), input_dtype=tf.complex128, expected_output_dtype=K.floatx())
def test_simple(self): layer_test(SpecAugmentLayer, kwargs={}, input_shape=(5, 32, 80, 2))