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February 11, 2022 08:15
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Serialize a TensorFlow graph as a Protobuf file. Remove the nodes not into the `model` namespace.
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# tensorflow: loading model | |
sess = tf.Session() | |
sess.run(tf.global_variables_initializer()) | |
saver = tf.train.Saver() | |
results_folder = model + '/' | |
saver.restore(sess, results_folder) | |
gd = sess.graph.as_graph_def() | |
for node in gd.node: | |
if node.op == 'RefSwitch': | |
node.op = 'Switch' | |
for index in range(len(node.input)): | |
if 'moving_' in node.input[index]: | |
node.input[index] = node.input[index] + '/read' | |
elif node.op == 'AssignSub': | |
node.op = 'Sub' | |
if 'use_locking' in node.attr: del node.attr['use_locking'] | |
elif node.op == 'AssignAdd': | |
node.op = 'Add' | |
if 'use_locking' in node.attr: del node.attr['use_locking'] | |
elif node.op == 'Assign': | |
node.op = 'Identity' | |
if 'use_locking' in node.attr: del node.attr['use_locking'] | |
if 'validate_shape' in node.attr: del node.attr['validate_shape'] | |
if len(node.input) == 2: | |
# input0: ref: Should be from a Variable node. May be uninitialized. | |
# input1: value: The value to be assigned to the variable. | |
node.input[0] = node.input[1] | |
del node.input[1] | |
node_names =[n.name for n in gd.node if 'model' in n.name] | |
subgraph = tf.graph_util.extract_sub_graph(gd, node_names) | |
tf.reset_default_graph() | |
tf.import_graph_def(subgraph) | |
output_graph_def = tf.graph_util.convert_variables_to_constants( | |
sess, # The session is used to retrieve the weights | |
gd, # The graph_def is used to retrieve the nodes | |
node_names #.split(",") # The output node names are used to select the usefull nodes | |
) | |
tf.io.write_graph(output_graph_def, model, output_graph, as_text=False) | |
sess.close() |
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