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eaglelandsonce
commited on
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•
2478080
1
Parent(s):
8e03eb3
Update pages/15_Graphs.py
Browse files- pages/15_Graphs.py +2 -2
pages/15_Graphs.py
CHANGED
@@ -13,7 +13,7 @@ os.environ['TF_USE_LEGACY_KERAS'] = '1'
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def model_fn(graph_tensor_spec: tfgnn.GraphTensorSpec):
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graph = inputs = tf.keras.Input(type_spec=graph_tensor_spec)
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-
# Encode input features
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graph = tfgnn.keras.layers.MapFeatures(
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node_sets_fn=lambda node_set, node_set_name: tf.keras.layers.Dense(64)(node_set['features'])
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)(graph)
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@@ -26,7 +26,7 @@ def model_fn(graph_tensor_spec: tfgnn.GraphTensorSpec):
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attention_type="none", simple_conv_reduce_type="mean",
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normalization_type="layer", next_state_type="residual",
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state_dropout_rate=0.2, l2_regularization=1e-5,
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receiver_tag=tfgnn.
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)(graph)
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return tf.keras.Model(inputs, graph)
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def model_fn(graph_tensor_spec: tfgnn.GraphTensorSpec):
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graph = inputs = tf.keras.Input(type_spec=graph_tensor_spec)
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+
# Encode input features
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graph = tfgnn.keras.layers.MapFeatures(
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node_sets_fn=lambda node_set, node_set_name: tf.keras.layers.Dense(64)(node_set['features'])
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)(graph)
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attention_type="none", simple_conv_reduce_type="mean",
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normalization_type="layer", next_state_type="residual",
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state_dropout_rate=0.2, l2_regularization=1e-5,
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+
receiver_tag=tfgnn.TARGET # Use TARGET instead of NODES
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)(graph)
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return tf.keras.Model(inputs, graph)
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