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fix slim exported lenet graph can not be frozen #5955

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fix slim exported lenet graph can not be frozen
zhangxg Dec 25, 2018
fb62ce9
Merge branch 'master' of github.com:tensorflow/models
zhangxg Jan 15, 2019
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8 changes: 7 additions & 1 deletion research/slim/export_inference_graph.py
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Original file line number Diff line number Diff line change
Expand Up @@ -76,6 +76,10 @@ def with the variables inlined as constants using:
'image_size', None,
'The image size to use, otherwise use the model default_image_size.')

tf.app.flags.DEFINE_integer(
'image_channel', 3,
'The image channel to use, otherwise use the model default_image_channel.')

tf.app.flags.DEFINE_integer(
'batch_size', None,
'Batch size for the exported model. Defaulted to "None" so batch size can '
Expand Down Expand Up @@ -114,9 +118,11 @@ def main(_):
num_classes=(dataset.num_classes - FLAGS.labels_offset),
is_training=FLAGS.is_training)
image_size = FLAGS.image_size or network_fn.default_image_size
image_channel = network_fn.default_image_channel \
if hasattr(network_fn, "default_image_channel") else FLAGS.image_channel
placeholder = tf.placeholder(name='input', dtype=tf.float32,
shape=[FLAGS.batch_size, image_size,
image_size, 3])
image_size, image_channel])
network_fn(placeholder)

if FLAGS.quantize:
Expand Down
1 change: 1 addition & 0 deletions research/slim/nets/lenet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -78,6 +78,7 @@ def lenet(images, num_classes=10, is_training=False,

return logits, end_points
lenet.default_image_size = 28
lenet.default_image_channel = 1


def lenet_arg_scope(weight_decay=0.0):
Expand Down