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Dong Zhou
2020-11-29 17:17:03 +08:00
parent 33f50b3cee
commit 0fb0109f9c
1 changed files with 10 additions and 2 deletions
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12
examples/benchmarks/TFT/libs/tft_model.py
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@@ -721,7 +721,12 @@ class TemporalFusionTransformer(object):
encoder_steps = self.num_encoder_steps encoder_steps = self.num_encoder_steps
# Inputs. # Inputs.
all_inputs = tf.keras.layers.Input(shape=(time_steps, combined_input_size,)) all_inputs = tf.keras.layers.Input(
shape=(
time_steps,
combined_input_size,
)
)
unknown_inputs, known_combined_layer, obs_inputs, static_inputs = self.get_tft_embeddings(all_inputs) unknown_inputs, known_combined_layer, obs_inputs, static_inputs = self.get_tft_embeddings(all_inputs)
@@ -861,7 +866,10 @@ class TemporalFusionTransformer(object):
"""Returns LSTM cell initialized with default parameters.""" """Returns LSTM cell initialized with default parameters."""
if self.use_cudnn: if self.use_cudnn:
lstm = tf.keras.layers.CuDNNLSTM( lstm = tf.keras.layers.CuDNNLSTM(
self.hidden_layer_size, return_sequences=True, return_state=return_state, stateful=False, self.hidden_layer_size,
return_sequences=True,
return_state=return_state,
stateful=False,
) )
else: else:
lstm = tf.keras.layers.LSTM( lstm = tf.keras.layers.LSTM(