Ejemplo n.º 1
0
  lambda: algorithmic_math.algebra_inverse(26, 3, 3, 10000),
  lambda: None),  # test set
 "parsing_english_ptb8k":
 (lambda: wsj_parsing.parsing_token_generator(FLAGS.data_dir, FLAGS.tmp_dir,
                                              True, 2**13, 2**9),
  lambda: wsj_parsing.parsing_token_generator(FLAGS.data_dir, FLAGS.tmp_dir,
                                              False, 2**13, 2**9),
  lambda: None),  # test set
 "parsing_english_ptb16k":
 (lambda: wsj_parsing.parsing_token_generator(FLAGS.data_dir, FLAGS.tmp_dir,
                                              True, 2**14, 2**9),
  lambda: wsj_parsing.parsing_token_generator(FLAGS.data_dir, FLAGS.tmp_dir,
                                              False, 2**14, 2**9),
  lambda: None),  # test set
 "inference_snli32k":
 (lambda: snli.snli_token_generator(FLAGS.tmp_dir, True, 2**15),
  lambda: snli.snli_token_generator(FLAGS.tmp_dir, False, 2**15),
  lambda: None),  # test set
 "audio_timit_characters_test":
 (lambda: audio.timit_generator(FLAGS.data_dir, FLAGS.tmp_dir, True, 1718),
  lambda: audio.timit_generator(FLAGS.data_dir, FLAGS.tmp_dir, False, 626),
  lambda: None),  # test set
 "audio_timit_tokens_8k_test":
 (lambda: audio.timit_generator(FLAGS.data_dir,
                                FLAGS.tmp_dir,
                                True,
                                1718,
                                vocab_filename="vocab.endefr.%d" % 2**13,
                                vocab_size=2**13),
  lambda: audio.timit_generator(FLAGS.data_dir,
                                FLAGS.tmp_dir,
Ejemplo n.º 2
0
_SUPPORTED_PROBLEM_GENERATORS = {
    "algorithmic_algebra_inverse": (
        lambda: algorithmic_math.algebra_inverse(26, 0, 2, 100000),
        lambda: algorithmic_math.algebra_inverse(26, 3, 3, 10000)),
    "parsing_english_ptb8k": (
        lambda: wsj_parsing.parsing_token_generator(
            FLAGS.data_dir, FLAGS.tmp_dir, True, 2**13, 2**9),
        lambda: wsj_parsing.parsing_token_generator(
            FLAGS.data_dir, FLAGS.tmp_dir, False, 2**13, 2**9)),
    "parsing_english_ptb16k": (
        lambda: wsj_parsing.parsing_token_generator(
            FLAGS.data_dir, FLAGS.tmp_dir, True, 2**14, 2**9),
        lambda: wsj_parsing.parsing_token_generator(
            FLAGS.data_dir, FLAGS.tmp_dir, False, 2**14, 2**9)),
    "inference_snli32k": (
        lambda: snli.snli_token_generator(FLAGS.tmp_dir, True, 2**15),
        lambda: snli.snli_token_generator(FLAGS.tmp_dir, False, 2**15),
    ),
    "audio_timit_characters_test": (
        lambda: audio.timit_generator(
            FLAGS.data_dir, FLAGS.tmp_dir, True, 1718),
        lambda: audio.timit_generator(
            FLAGS.data_dir, FLAGS.tmp_dir, False, 626)),
    "audio_timit_tokens_8k_test": (
        lambda: audio.timit_generator(
            FLAGS.data_dir, FLAGS.tmp_dir, True, 1718,
            vocab_filename="vocab.endefr.%d" % 2**13, vocab_size=2**13),
        lambda: audio.timit_generator(
            FLAGS.data_dir, FLAGS.tmp_dir, False, 626,
            vocab_filename="vocab.endefr.%d" % 2**13, vocab_size=2**13)),
    "audio_timit_tokens_32k_test": (