1cf4c73059ba4435f37a93a316edbd426263cbf0,pytorch2keras/converter.py,,pytorch_to_keras,#Any#Any#Any#Any#Any#Any#Any#,141
Before Change
if len(node_input_names) == 0:
if len(node_inputs) > 0:
if node_inputs[0] in model_inputs :
node_input_names.append(model_inputs[node_inputs[0]])
else:
input_name = "input{0}".format(input_index)
if input_name not in layers:
continue
node_input_names.append(input_name)
input_index += 1
model_inputs[node_inputs[0]] = input_name
node_type = node.kind()
// print(dir(node))
After Change
print(get_node_id(node_input.node()))
if node_input.node().scopeName():
node_input_names.append(get_node_id(node_input.node()))
if "input{0}".format(get_node_id(node_input.node())) in model_inputs:
node_input_names.append("input{0}".format(get_node_id(node_input.node())))
// print(node_input_names)
// if len(node_input_names) == 0:
// if len(node_inputs) > 0:
// if node_inputs[0] in model_inputs:
// node_input_names.append(model_inputs[node_inputs[0]])
// else:
// input_name = "input{0}".format(input_index)
// if input_name not in layers:
// continue
// node_input_names.append(input_name)
// input_index += 1
// model_inputs[node_inputs[0]] = input_name
node_type = node.kind()
// print(dir(node))
node_scope_name = node.scopeName()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances Project Name: nerox8664/pytorch2keras
Commit Name: 1cf4c73059ba4435f37a93a316edbd426263cbf0
Time: 2018-12-20
Author: nerox8664@gmail.com
File Name: pytorch2keras/converter.py
Class Name:
Method Name: pytorch_to_keras
Project Name: Microsoft/nni
Commit Name: f7b7edac5b9e329ffdda30d710f68db71d08e065
Time: 2020-11-22
Author: 38930155+chicm-ms@users.noreply.github.com
File Name: nni/common/graph_utils.py
Class Name: TorchModuleGraph
Method Name: _expand_module_node
Project Name: Microsoft/nni
Commit Name: f7b7edac5b9e329ffdda30d710f68db71d08e065
Time: 2020-11-22
Author: 38930155+chicm-ms@users.noreply.github.com
File Name: nni/common/graph_utils.py
Class Name: TorchModuleGraph
Method Name: _expand_key_func_node