28b8b9d39f53d8327dbf658048a81b7046ae398f,magpie/nn/models.py,,cnn,#Any#Any#,19

Before Change

    NB_FILTER = 256
    NGRAM_LENGTHS = [1, 2, 3, 4, 5]

    conv_layers = []
    for ngram_length in NGRAM_LENGTHS:
        ngram_layer = Sequential()
        ngram_layer.add(Convolution1D(
            NB_FILTER,

After Change

    conv_layers, inputs = [], []

    for ngram_length in NGRAM_LENGTHS:
        current_input = Input(shape=(SAMPLE_LENGTH, embedding_size))
        inputs.append(current_input)

        convolution = Conv1D(
            NB_FILTER,
            ngram_length,
            kernel_initializer="lecun_uniform",
            activation="tanh",
        )(current_input)

        pool_size = SAMPLE_LENGTH - ngram_length + 1
        pooling = MaxPooling1D(pool_size=pool_size)(convolution)
        conv_layers.append(pooling)

Instances