diff options
Diffstat (limited to 'tensorflow/contrib/gan')
| -rw-r--r-- | tensorflow/contrib/gan/BUILD | 11 | ||||
| -rw-r--r-- | tensorflow/contrib/gan/python/estimator/python/gan_estimator_impl.py | 3 |
2 files changed, 4 insertions, 10 deletions
diff --git a/tensorflow/contrib/gan/BUILD b/tensorflow/contrib/gan/BUILD index 053d4e3e97..82e3bbe3c0 100644 --- a/tensorflow/contrib/gan/BUILD +++ b/tensorflow/contrib/gan/BUILD @@ -459,8 +459,7 @@ py_library( ":train", "//tensorflow/python:framework_ops", "//tensorflow/python:util", - "//tensorflow/python/estimator:head", - "//tensorflow/python/estimator:model_fn", + "//tensorflow/python/estimator:estimator_py", ], ) @@ -477,7 +476,7 @@ py_test( "//tensorflow/python:math_ops", "//tensorflow/python:training", "//tensorflow/python:variable_scope", - "//tensorflow/python/estimator:model_fn", + "//tensorflow/python/estimator:estimator_py", ], ) @@ -497,8 +496,7 @@ py_library( "//tensorflow/python:metrics", "//tensorflow/python:util", "//tensorflow/python:variable_scope", - "//tensorflow/python/estimator", - "//tensorflow/python/estimator:model_fn", + "//tensorflow/python/estimator:estimator_py", ], ) @@ -526,8 +524,7 @@ py_test( "//tensorflow/python:training", "//tensorflow/python:training_util", "//tensorflow/python:variable_scope", - "//tensorflow/python/estimator:model_fn", - "//tensorflow/python/estimator:numpy_io", + "//tensorflow/python/estimator:estimator_py", "//third_party/py/numpy", "@absl_py//absl/testing:parameterized", "@six_archive//:six", diff --git a/tensorflow/contrib/gan/python/estimator/python/gan_estimator_impl.py b/tensorflow/contrib/gan/python/estimator/python/gan_estimator_impl.py index 8e4affb9b4..ab9886580d 100644 --- a/tensorflow/contrib/gan/python/estimator/python/gan_estimator_impl.py +++ b/tensorflow/contrib/gan/python/estimator/python/gan_estimator_impl.py @@ -53,9 +53,6 @@ _summary_type_map = { } -# TODO(joelshor): For now, this only supports 1:1 generator:discriminator -# training sequentially. Find a nice way to expose options to the user without -# exposing internals. class GANEstimator(estimator.Estimator): """An estimator for Generative Adversarial Networks (GANs). |