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convert_from_tensorflow.py: add option to dump graph for visualization in tensorboard

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Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Pedro Arthur <bygrandao@gmail.com>
This commit is contained in:
Guo, Yejun
2019-07-30 09:25:56 +08:00
committed by Pedro Arthur
parent aac382e9e5
commit 2c01434d60
2 changed files with 12 additions and 7 deletions
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13
tools/python/convert_from_tensorflow.py
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@ -24,10 +24,11 @@ import sys, struct
__all__ = ['convert_from_tensorflow']
class TFConverter:
def __init__(self, graph_def, nodes, outfile):
def __init__(self, graph_def, nodes, outfile, dump4tb):
self.graph_def = graph_def
self.nodes = nodes
self.outfile = outfile
self.dump4tb = dump4tb
self.layer_number = 0
self.output_names = []
self.name_node_dict = {}
@ -42,8 +43,8 @@ class TFConverter:
def dump_for_tensorboard(self):
graph = tf.get_default_graph()
tf.import_graph_def(self.graph_def, name="")
# tensorboard --logdir=/tmp/graph
tf.summary.FileWriter('/tmp/graph', graph)
print('graph saved, run "tensorboard --logdir=/tmp/graph" to see it')
def get_conv2d_params(self, node):
@ -197,18 +198,18 @@ class TFConverter:
self.remove_identity()
self.generate_edges()
#check the graph with tensorboard with human eyes
#self.dump_for_tensorboard()
if self.dump4tb:
self.dump_for_tensorboard()
self.dump_to_file()
def convert_from_tensorflow(infile, outfile):
def convert_from_tensorflow(infile, outfile, dump4tb):
with open(infile, 'rb') as f:
# read the file in .proto format
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
nodes = graph_def.node
converter = TFConverter(graph_def, nodes, outfile)
converter = TFConverter(graph_def, nodes, outfile, dump4tb)
converter.run()