vandanavk opened a new issue #11904: 52 undefined variable errors with Pylint URL: https://github.com/apache/incubator-mxnet/issues/11904 ## Description Running Pylint on incubator-mxnet with undefined-variable enabled, results in 52 errors. This could lead to NameError on execution. ## Steps to reproduce ``` What to do: 1. Edit the enable section of tests/ci_build/pylintrc to include undefined-variable 2. Run find . -name "*.py" -exec pylint --rcfile=${ROOT_DIR}/tests/ci_build/pylintrc --ignore-patterns=".*\.so$$,.*\.dll$$,.*\.dylib$$" --msg-template='{path}({line}): [{msg_id} {obj}] {msg}' -E '{}' + from the root directory on your machine. 3. Look for Errors with code E0602 or having the text Undefined variable ``` Package used (Python/R/Scala/Julia): I'm using Python2 ## Build info (Required if built from source) MXNet commit hash: 1e2c4017636461a62c4af9515665e1cae01fafff ## Error Message: Code/module affected | Undefined variable -- | -- ./docs/mxdoc.py:75:16: | root_path ./example/autoencoder/model.py:25:8: | ModuleNotFoundError ./example/deep-embedded-clustering/model.py:25:8: | ModuleNotFoundError ./example/fcn-xs/image_segmentaion.py:100:60: | ctx ./example/fcn-xs/image_segmentaion.py:103:60: | ctx ./example/fcn-xs/image_segmentaion.py:104:26: | ctx ./example/image-classification/benchmark_score.py:87:65: | dt ./example/neural-style/end_to_end/model_vgg19.py:94:17: | out ./example/neural-style/end_to_end/model_vgg19.py:105:16: | out ./example/profiler/profiler_executor.py:89:15: | search_plan ./example/profiler/profiler_executor.py:89:37: | data_shapes ./example/reinforcement-learning/a3c/a3c.py:206:16: | robo_data ./example/sparse/factorization_machine/metric.py:111:22: | label_zero_num ./example/sparse/factorization_machine/metric.py:111:39: | label_one_num ./example/ssd/dataset/pycocotools/coco.py:266:41: | m ./example/ssd/dataset/pycocotools/coco.py:266:53: | m ./example/ssd/dataset/pycocotools/coco.py:273:52: | m ./example/ssd/dataset/pycocotools/coco.py:435:16: | m ./example/ssd/symbol/common.py:209:23: | start_offset ./example/ssd/symbol/common.py:210:46: | start_offset ./python/mxnet/initializer.py:700:20: | _INITIALIZER_REGISTRY ./python/mxnet/optimizer.py:718:34: | array ./python/mxnet/optimizer.py:769:16: | multiply ./tools/flakiness_checker.py:69:11: | FileNotFoundError ./example/gluon/image_classification.py:143:31 | get_cifar10_iterator ./example/gluon/image_classification.py:152:31 | get_imagenet_iterator ./example/gluon/image_classification.py:155:31 | get_caltech101_iterator ./example/gluon/image_classification.py:158:31 | dummy_iterator ./example/reinforcement-learning/dqn/atari_game.py:37:10 | get_numpy_rng ./example/reinforcement-learning/dqn/atari_game.py:72:19 | get_numpy_rng ./example/reinforcement-learning/dqn/base.py:98:35 | get_bucket_key ./example/reinforcement-learning/dqn/base.py:161:28 | save_params ./example/reinforcement-learning/dqn/base.py:164:27 | save_misc ./example/reinforcement-learning/dqn/base.py:170:49 | load_params ./example/reinforcement-learning/dqn/dqn_demo.py:33:27 | sys ./example/reinforcement-learning/dqn/dqn_demo.py:39:10 | get_numpy_rng ./example/reinforcement-learning/dqn/dqn_demo.py:90:10 | parse_ctx ./example/reinforcement-learning/dqn/dqn_demo.py:138:16 | time ./example/reinforcement-learning/dqn/dqn_demo.py:147:33 | time ./example/reinforcement-learning/dqn/dqn_demo.py:221:31 | time ./example/reinforcement-learning/dqn/dqn_demo.py:235:14 | time ./example/reinforcement-learning/dqn/dqn_run_test.py | get_numpy_rng ./example/reinforcement-learning/dqn/replay_memory.py:31:19 | get_numpy_rng ./tests/python/mkl/test_mkldnn.py:264:4 | test_mkldnn_install ./example/rnn/word_lm/train.py:91:32 | rnn ./example/rnn/word_lm/train.py:93:11 | softmax_ce_loss ./example/sparse/factorization_machine/train.py:102:12 | factorization_machine_model ./example/sparse/wide_deep/train.py:75:40 | get_uci_adult ./example/sparse/wide_deep/train.py:76:34 | get_uci_adult ./example/sparse/wide_deep/train.py:78:12 | wide_deep_model ./python/mxnet/ndarray/__init__.py:34:23 | ndarray ./python/mxnet/symbol/__init__.py:31:23 | symbol ## What have you tried to solve it? 1. Solving the errors one by one
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