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Commit 8f6e2547 authored by guptapriya's avatar guptapriya Committed by guptapriya
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use tf.keras.losses instead of tf.losses

parent 6da769b1
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official/recommendation/ncf_keras_main.py
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...@@ -309,7 +309,7 @@ def run_ncf(_): ...@@ -309,7 +309,7 @@ def run_ncf(_):
epsilon=params["epsilon"]) epsilon=params["epsilon"])
if params["keras_use_ctl"]: if params["keras_use_ctl"]:
loss_object = tf.losses.SparseCategoricalCrossentropy( loss_object = tf.keras.losses.SparseCategoricalCrossentropy(
reduction=tf.keras.losses.Reduction.SUM, reduction=tf.keras.losses.Reduction.SUM,
from_logits=True) from_logits=True)
train_input_iterator = strategy.make_dataset_iterator(train_input_dataset) train_input_iterator = strategy.make_dataset_iterator(train_input_dataset)
......
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