experiments/STT-tensorflow
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Make the default for run_eagerly the value of

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`tf.config.experimental_run_functions_eagerly`

PiperOrigin-RevId: 251570860
This commit is contained in:
Thomas O'Malley 2019-06-04 20:42:02 -07:00 committed by TensorFlower Gardener
parent a169923759
commit 0054b6aaa2
2 changed files with 15 additions and 1 deletions
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5
tensorflow/python/keras/engine/training.py
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@ -27,6 +27,7 @@ from tensorflow.python.data.ops import dataset_ops
from tensorflow.python.data.ops import iterator_ops
from tensorflow.python.distribute import distribution_strategy_context
from tensorflow.python.eager import context
from tensorflow.python.eager import def_function
from tensorflow.python.eager import monitoring
from tensorflow.python.framework import composite_tensor_utils
from tensorflow.python.framework import constant_op
@ -403,7 +404,9 @@ class Model(network.Network):
'is enabled.')
if not self.dynamic:
if self._run_eagerly is None:
return False
# Respect `tf.config.experimental_run_functions_eagerly` unless
# `run_eagerly` was explicitly passed to `compile`.
return def_function.RUN_FUNCTIONS_EAGERLY
else:
return self._run_eagerly
else:

11
tensorflow/python/keras/engine/training_test.py
View File

@ -30,6 +30,7 @@ from tensorflow.python import keras
from tensorflow.python import tf2
from tensorflow.python.data.ops import dataset_ops
from tensorflow.python.eager import context
from tensorflow.python.eager import def_function
from tensorflow.python.eager import function
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_shape
@ -81,6 +82,16 @@ class CompileTest(keras_parameterized.TestCase):
self.assertEqual(model.loss_functions[i].fn, loss_list[i])
self.assertAllEqual(model._loss_weights_list, [1.] * len(loss_list))
def test_respect_run_functions_eagerly(self):
with context.eager_mode():
model = testing_utils.get_small_sequential_mlp(
num_hidden=10, num_classes=2, input_dim=3)
model.compile('sgd', 'mse')
def_function.run_functions_eagerly(True)
self.assertTrue(model.run_eagerly)
def_function.run_functions_eagerly(False)
self.assertFalse(model.run_eagerly)
@keras_parameterized.run_all_keras_modes
@parameterized.named_parameters(('loss_string', 'mse'),
('loss_function', losses.mean_squared_error),