diff options
Diffstat (limited to 'tensorflow/contrib/slim/python')
| -rw-r--r-- | tensorflow/contrib/slim/python/slim/learning.py | 5 | ||||
| -rw-r--r-- | tensorflow/contrib/slim/python/slim/nets/resnet_v1.py | 2 | ||||
| -rw-r--r-- | tensorflow/contrib/slim/python/slim/nets/resnet_v2.py | 2 |
3 files changed, 5 insertions, 4 deletions
diff --git a/tensorflow/contrib/slim/python/slim/learning.py b/tensorflow/contrib/slim/python/slim/learning.py index 6a200de1ea..8a2c74742a 100644 --- a/tensorflow/contrib/slim/python/slim/learning.py +++ b/tensorflow/contrib/slim/python/slim/learning.py @@ -389,7 +389,7 @@ def create_train_op(total_loss, total_loss: A `Tensor` representing the total loss. optimizer: A tf.Optimizer to use for computing the gradients. global_step: A `Tensor` representing the global step variable. If left as - `_USE_GLOBAL_STEP`, then slim.variables.global_step() is used. + `_USE_GLOBAL_STEP`, then tf.contrib.framework.global_step() is used. update_ops: An optional list of updates to execute. If `update_ops` is `None`, then the update ops are set to the contents of the `tf.GraphKeys.UPDATE_OPS` collection. If `update_ops` is not `None`, but @@ -578,7 +578,8 @@ def train(train_op, is_chief: Specifies whether or not the training is being run by the primary replica during replica training. global_step: The `Tensor` representing the global step. If left as `None`, - then slim.variables.get_or_create_global_step() is used. + then training_util.get_or_create_global_step(), that is, + tf.contrib.framework.global_step() is used. number_of_steps: The max number of gradient steps to take during training, as measured by 'global_step': training will stop if global_step is greater than 'number_of_steps'. If the value is left as None, training diff --git a/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py b/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py index 235a595de4..11c4214176 100644 --- a/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py +++ b/tensorflow/contrib/slim/python/slim/nets/resnet_v1.py @@ -207,7 +207,7 @@ def resnet_v1(inputs, net = resnet_utils.stack_blocks_dense(net, blocks, output_stride) if global_pool: # Global average pooling. - net = math_ops.reduce_mean(net, [1, 2], name='pool5', keep_dims=True) + net = math_ops.reduce_mean(net, [1, 2], name='pool5', keepdims=True) if num_classes is not None: net = layers.conv2d( net, diff --git a/tensorflow/contrib/slim/python/slim/nets/resnet_v2.py b/tensorflow/contrib/slim/python/slim/nets/resnet_v2.py index 61665c9c8b..19e0538dd1 100644 --- a/tensorflow/contrib/slim/python/slim/nets/resnet_v2.py +++ b/tensorflow/contrib/slim/python/slim/nets/resnet_v2.py @@ -221,7 +221,7 @@ def resnet_v2(inputs, net, activation_fn=nn_ops.relu, scope='postnorm') if global_pool: # Global average pooling. - net = math_ops.reduce_mean(net, [1, 2], name='pool5', keep_dims=True) + net = math_ops.reduce_mean(net, [1, 2], name='pool5', keepdims=True) if num_classes is not None: net = layers_lib.conv2d( net, |