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Commit 2ddd716e authored by Hongkun Yu's avatar Hongkun Yu Committed by A. Unique TensorFlower
Browse files

Remove hooks.

PiperOrigin-RevId: 306994199
parent a29fcd96
...@@ -47,7 +47,6 @@ def define_flags(): ...@@ -47,7 +47,6 @@ def define_flags():
epochs_between_evals=False, epochs_between_evals=False,
stop_threshold=False, stop_threshold=False,
num_gpu=True, num_gpu=True,
hooks=False,
export_dir=False, export_dir=False,
run_eagerly=True, run_eagerly=True,
distribution_strategy=True) distribution_strategy=True)
......
...@@ -39,7 +39,6 @@ def define_common_bert_flags(): ...@@ -39,7 +39,6 @@ def define_common_bert_flags():
stop_threshold=False, stop_threshold=False,
batch_size=False, batch_size=False,
num_gpu=True, num_gpu=True,
hooks=False,
export_dir=False, export_dir=False,
distribution_strategy=True, distribution_strategy=True,
run_eagerly=True) run_eagerly=True)
......
...@@ -149,7 +149,7 @@ def define_ncf_flags(): ...@@ -149,7 +149,7 @@ def define_ncf_flags():
flags_core.define_base(model_dir=True, clean=True, train_epochs=True, flags_core.define_base(model_dir=True, clean=True, train_epochs=True,
epochs_between_evals=True, export_dir=False, epochs_between_evals=True, export_dir=False,
run_eagerly=True, stop_threshold=True, num_gpu=True, run_eagerly=True, stop_threshold=True, num_gpu=True,
hooks=True, distribution_strategy=True) distribution_strategy=True)
flags_core.define_performance( flags_core.define_performance(
synthetic_data=True, synthetic_data=True,
dtype=True, dtype=True,
...@@ -168,7 +168,6 @@ def define_ncf_flags(): ...@@ -168,7 +168,6 @@ def define_ncf_flags():
data_dir="/tmp/movielens-data/", data_dir="/tmp/movielens-data/",
train_epochs=2, train_epochs=2,
batch_size=99000, batch_size=99000,
hooks="ProfilerHook",
tpu=None tpu=None
) )
......
...@@ -126,7 +126,6 @@ def neumf_model_fn(features, labels, mode, params): ...@@ -126,7 +126,6 @@ def neumf_model_fn(features, labels, mode, params):
weights=tf.cast(valid_pt_mask, tf.float32) weights=tf.cast(valid_pt_mask, tf.float32)
) )
# This tensor is used by logging hooks.
tf.identity(loss, name="cross_entropy") tf.identity(loss, name="cross_entropy")
global_step = tf.compat.v1.train.get_global_step() global_step = tf.compat.v1.train.get_global_step()
......
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