def preprocess(graph: 'graphs.Graph', isMain: 'bool'):
# replace inputs
if not isMain:
input_values = graph.input_values.copy()
copied_input_values = [
functions.generate_copied_value(v) for v in input_values
]
old2new = {}
for i in range(len(input_values)):
copied_input_values[i].name = input_values[i].name + '_in'
old2new[input_values[i]] = copied_input_values[i]
for node in graph.nodes:
for i in range(len(input_values)):
node.replace_inputs(input_values[i], copied_input_values[i])
graph.input_values = copied_input_values
for i in range(len(graph.output_values)):
if graph.output_values[i] in old2new.keys():
graph.output_values[i] = old2new[graph.output_values[i]]
replacing = {}
for value in graph.output_values:
if value in graph.input_values:
copied_value = functions.generate_copied_value(value)
copied_value.name = value.name + '_cp'
replacing[value] = copied_value
node = nodes.NodeCopy(value)
node.set_outputs([copied_value])
graph.add_node(node)
for i in range(len(graph.output_values)):
if graph.output_values[i] in replacing.keys():
graph.output_values[i] = replacing[graph.output_values[i]]
for node in graph.nodes:
for subgraph in node.subgraphs:
preprocess(subgraph, False)
def preprocess(graph: 'graphs.Graph', isMain: 'bool'):
replacing = {}
for value in graph.output_values:
if value in graph.input_values:
copied_value = functions.generate_copied_value(value)
copied_value.name = value.name + '_cp'
replacing[value] = copied_value
node = nodes.NodeCopy(value)
node.set_outputs([copied_value])
graph.add_node(node)
for i in range(len(graph.output_values)):
if graph.output_values[i] in replacing.keys():
graph.output_values[i] = replacing[graph.output_values[i]]
# fix duplicates (if same output value exsits, error is caused.)
output_values = graph.output_values.copy()
duplicates = {}
for i in range(len(output_values)):
if output_values[i] in duplicates.keys():
copied_value = functions.generate_copied_value(output_values[i])
node = nodes.NodeCopy(output_values[i])
node.set_outputs([copied_value])
graph.add_node(node)
copied_value.name = output_values[i].name + '_cp_out_' + str(
duplicates[output_values[i]])
duplicates[output_values[i]] += 1
output_values[i] = copied_value
else:
duplicates[output_values[i]] = 0
graph.output_values = output_values
for node in graph.nodes:
for subgraph in node.subgraphs:
preprocess(subgraph, False)
def preprocess(graph: 'graphs.Graph'):
replacing = {}
for value in graph.output_values:
if value in graph.input_values:
copied_value = functions.generate_copied_value(value)
replacing[value] = copied_value
node = nodes.NodeCopy(value)
node.set_outputs([copied_value])
graph.add_node(node)
for i in range(len(graph.output_values)):
if graph.output_values[i] in replacing.keys():
graph.output_values[i] = replacing[graph.output_values[i]]
for node in graph.nodes:
for subgraph in node.subgraphs:
preprocess(subgraph)