Number of duplications

1533

Average of occurrences per duplication

2.30

The following list includes all the duplication found in the code, with the information about each file where it was found listed with the following format:
file_name (first_line:first_column - last_line:last_column)
torch/onnx/symbolic_opset10.py (158:69 - 169:94)
torch/onnx/symbolic_opset8.py (68:80 - 80:93)
torch/onnx/symbolic_opset9.py (1086:71 - 1098:94)
torch/optim/_multi_tensor/adadelta.py (66:46 - 79:38)
torch/optim/adadelta.py (65:36 - 78:34)
torch/optim/_multi_tensor/adamax.py (68:46 - 81:38)
torch/optim/adamax.py (71:36 - 84:34)
torch/quantization/fx/graph_module.py (10:9 - 21:14)
torch/quantization/fx/graph_module.py (34:9 - 45:14)
torch/quantization/fx/quantization_patterns.py (472:5 - 484:10)
torch/quantization/fx/quantization_patterns.py (1488:5 - 1500:10)
benchmarks/fastrnns/cells.py (30:64 - 45:3)
benchmarks/fastrnns/cells.py (47:64 - 62:3)
benchmarks/fastrnns/cells.py (65:45 - 80:3)
benchmarks/tensorexpr/rnn_eltwise.py (33:28 - 47:7)
test/test_jit.py (220:46 - 232:3)
benchmarks/functional_autograd_benchmark/torchvision_models.py (191:22 - 204:11)
test/jit/test_models.py (665:24 - 677:19)
torch/csrc/deploy/example/examples.py (104:16 - 116:11)
caffe2/python/hypothesis_test.py (1871:39 - 1880:37)
caffe2/python/operator_test/conv_test.py (822:44 - 829:37)
caffe2/python/ideep/spatial_bn_op_test.py (50:13 - 57:56)
caffe2/python/ideep/spatial_bn_op_test.py (84:21 - 94:56)
caffe2/python/layers_test.py (1774:13 - 1783:37)
caffe2/python/layers_test.py (1900:13 - 1909:37)