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Masking Layer support #8

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Masking Layer support #8

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11 changes: 10 additions & 1 deletion da_rnn/keras/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,8 @@
Layer,
LSTM,
Dense,
Permute
Permute,
Masking
)

from tensorflow.keras.models import Model
Expand Down Expand Up @@ -145,6 +146,8 @@ def __init__(

self.input_lstm = LSTM(m, return_state=True)
self.input_attention = InputAttention(T)
self.masking = Masking(mask_value=float('nan'))


def call(self, X) -> tf.Tensor:
"""
Expand All @@ -162,6 +165,8 @@ def call(self, X) -> tf.Tensor:

X_encoded = []

X = self.masking(X)

for t in range(self.T):
Alpha_t = self.input_attention(hidden_state, cell_state, X)

Expand Down Expand Up @@ -307,6 +312,8 @@ def __init__(
self.Wb = Dense(p)
self.vb = Dense(y_dim)

self.masking = Masking(mask_value=float('nan'))

def call(self, Y, X_encoded) -> tf.Tensor:
"""
Args:
Expand All @@ -324,6 +331,8 @@ def call(self, Y, X_encoded) -> tf.Tensor:
# c in the paper
context_vector = tf.zeros((batch_size, 1, self.m))
# -> (batch_size, 1, m)

X_encoded = self.masking(X_encoded)

for t in range(self.T - 1):
Beta_t = self.temp_attention(
Expand Down