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remove unused/dead code
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2 changed files with 0 additions and 20 deletions
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@ -44,25 +44,14 @@ class PCMInit(Initializer):
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def new_wavernn_model():
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pcm = Input(shape=(None, 2))
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exc = Input(shape=(None, 1))
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pitch = Input(shape=(None, 1))
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feat = Input(shape=(None, nb_used_features))
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pitch = Input(shape=(None, 1))
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dec_feat = Input(shape=(None, 128))
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dec_state = Input(shape=(rnn_units,))
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conv1 = Conv1D(16, 7, padding='causal', activation='tanh')
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pconv1 = Conv1D(16, 5, padding='same', activation='tanh')
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pconv2 = Conv1D(16, 5, padding='same', activation='tanh')
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fconv1 = Conv1D(128, 3, padding='same', activation='tanh')
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fconv2 = Conv1D(102, 3, padding='same', activation='tanh')
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if False:
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cpcm = conv1(pcm)
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cpitch = pconv2(pconv1(pitch))
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else:
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cpcm = pcm
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cpitch = pitch
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embed = Embedding(256, embed_size, embeddings_initializer=PCMInit())
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cpcm = Reshape((-1, embed_size*2))(embed(pcm))
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embed2 = Embedding(256, embed_size, embeddings_initializer=PCMInit())
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@ -58,14 +58,11 @@ upred = upred[:nb_frames*pcm_chunk_size]
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pred_in = ulaw2lin(in_data)
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for i in range(2, nb_frames*feature_chunk_size):
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upred[i*frame_size:(i+1)*frame_size] = 0
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#if i % 100000 == 0:
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# print(i)
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for k in range(16):
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upred[i*frame_size:(i+1)*frame_size] = upred[i*frame_size:(i+1)*frame_size] - \
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pred_in[i*frame_size-k:(i+1)*frame_size-k]*features[i, nb_features-16+k]
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pred = lin2ulaw(upred)
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#pred = pred + np.random.randint(-1, 1, len(data))
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in_data = np.reshape(in_data, (nb_frames, pcm_chunk_size, 1))
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@ -89,12 +86,6 @@ periods = (50*features[:,:,36:37]+100).astype('int16')
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in_data = np.concatenate([in_data, pred], axis=-1)
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#in_data = np.concatenate([in_data, in_pitch], axis=-1)
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#with h5py.File('in_data.h5', 'w') as f:
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# f.create_dataset('data', data=in_data[:50000, :, :])
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# f.create_dataset('feat', data=features[:50000, :, :])
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checkpoint = ModelCheckpoint('wavenet5b_{epoch:02d}.h5')
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#model.load_weights('wavenet4f2_30.h5')
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