ryansaxe / mtg Goto Github PK

(my_env) C:\GitHub\mtg-main\mtg\scripts>python preprocess.py --expansion DMU --game_data C:\GitHub\17lands\game_data.csv --draft_data c:\GitHub\17lands\draft_data.csv --expansion_fname c:\GitHub\17lands\DMU.pkl
Traceback (most recent call last):
  File "C:\GitHub\mtg-main\mtg\scripts\preprocess.py", line 34, in <module>
    main()
  File "C:\GitHub\mtg-main\mtg\scripts\preprocess.py", line 8, in main
    expansion = EXPANSION(bo1=FLAGS.game_data, draft=FLAGS.draft_data, ml_data=True)
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\mtg\obj\expansion.py", line 383, in __init__
    super().__init__(
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\mtg\obj\expansion.py", line 25, in __init__
    self.bo1 = self.process_data(bo1, name="bo1")
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\mtg\obj\expansion.py", line 53, in process_data
    df = load_data(file_or_df, self.cards.copy(), name=name)
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\mtg\obj\dataloading_utils.py", line 10, in load_data
    return load_bo1_data(filename, cards)
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\mtg\obj\dataloading_utils.py", line 67, in load_bo1_data
    df = pd.read_csv(
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\pandas\util\_decorators.py", line 211, in wrapper
    return func(*args, **kwargs)
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\pandas\util\_decorators.py", line 331, in wrapper
    return func(*args, **kwargs)
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\pandas\io\parsers\readers.py", line 950, in read_csv
    return _read(filepath_or_buffer, kwds)
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\pandas\io\parsers\readers.py", line 605, in _read
    parser = TextFileReader(filepath_or_buffer, **kwds)
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\pandas\io\parsers\readers.py", line 1442, in __init__
    self._engine = self._make_engine(f, self.engine)
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\pandas\io\parsers\readers.py", line 1753, in _make_engine
    return mapping[engine](f, **self.options)
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\pandas\io\parsers\c_parser_wrapper.py", line 135, in __init__
    self._validate_usecols_names(usecols, self.orig_names)
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\pandas\io\parsers\base_parser.py", line 917, in _validate_usecols_names
    raise ValueError(
ValueError: Usecols do not match columns, columns expected but not found: ['user_win_rate_bucket']

(my_env) C:\GitHub\mtg-main\mtg\scripts>

(my_env) C:\GitHub\mtg-main\mtg\scripts>python train_drafter.py --expansion_fname c:\GitHub\17lands\DMU.pkl --model_name c:\GitHub\17lands\DMU_draft_model
2022-10-21 23:08:37.817430: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-10-21 23:08:39.403046: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1616] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 3491 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 3060 Laptop GPU, pci bus id: 0000:01:00.0, compute capability: 8.6
C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\keras\initializers\initializers_v2.py:120: UserWarning: The initializer GlorotNormal is unseeded and being called multiple times, which will return identical values  each time (even if the initializer is unseeded). Please update your code to provide a seed to the initializer, or avoid using the same initalizer instance more than once.
  warnings.warn(
Epoch 1/1:   0%|                                                                           | 0/4947 [00:00<?, ?Batch/s]2022-10-21 23:08:48.728530: I tensorflow/stream_executor/cuda/cuda_blas.cc:1614] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.
2022-10-21 23:08:49.726358: W tensorflow/core/framework/op_kernel.cc:1768] INVALID_ARGUMENT: required broadcastable shapes
Traceback (most recent call last):
  File "C:\GitHub\mtg-main\mtg\scripts\train_drafter.py", line 173, in <module>
    main()
  File "C:\GitHub\mtg-main\mtg\scripts\train_drafter.py", line 49, in main
    trainer.train(
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\mtg\ml\trainer.py", line 127, in train
    loss, metrics = self._step(
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\mtg\ml\trainer.py", line 66, in _step
    metrics = self.model.compute_metrics(
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\mtg\ml\models.py", line 392, in compute_metrics
    tf.keras.metrics.sparse_top_k_categorical_accuracy(true, pred, 1)
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\tensorflow\python\util\traceback_utils.py", line 153, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "C:\Users\marku\anaconda3\envs\my_env\lib\site-packages\tensorflow\python\framework\ops.py", line 7209, in raise_from_not_ok_status
    raise core._status_to_exception(e) from None  # pylint: disable=protected-access
tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__Mul_device_/job:localhost/replica:0/task:0/device:GPU:0}} required broadcastable shapes [Op:Mul]
Epoch 1/1:   0%|                                                                           | 0/4947 [00:09<?, ?Batch/s]

(my_env) C:\GitHub\mtg-main\mtg\scripts>