def _sample_after_epoch(reader_ids: List[reader.ReaderTuple],
source_vocab: Vocabulary, target_vocab: Vocabulary,
load_from: str, epoch: int) -> None:
"""
Samples translations during training. Three sentences are picked at random,
translated with the current model and logged.
"""
input_lines, output_lines = zip(*random.sample(reader_ids, 3))
input_lines = [
" ".join(source_vocab.get_words(input_line))
for input_line in input_lines
]
output_lines = [
" ".join(target_vocab.get_words(output_line))
for output_line in output_lines
]
translations = translate_lines(load_from=load_from,
input_lines=input_lines,
train_mode=True)
logger.debug("Sampled translations after epoch %s.", epoch)
for input_line, output_line, translation in zip(input_lines, output_lines,
translations):
logger.debug("-" * 30)
logger.debug("Input:\t\t%s", input_line)
logger.debug("Predicted output:\t%s", translation)
logger.debug("Actual output:\t%s", output_line)
logger.debug("-" * 30)
def _sample_after_epoch(reader_ids: List[reader.ReaderTuple],
source_vocab: Vocabulary,
target_vocab: Vocabulary,
load_from: str,
epoch: int) -> None:
"""
Samples translations during training. Three sentences are picked at random,
translated with the current model and logged.
"""
input_lines, output_lines = zip(*random.sample(reader_ids, 3))
input_lines = [" ".join(source_vocab.get_words(input_line)) for input_line in input_lines]
output_lines = [" ".join(target_vocab.get_words(output_line)) for output_line in output_lines]
translations = translate_lines(load_from=load_from, input_lines=input_lines, train_mode=True)
logger.debug("Sampled translations after epoch %s.", epoch)
for input_line, output_line, translation in zip(input_lines, output_lines, translations):
logger.debug("-" * 30)
logger.debug("Input:\t\t%s", input_line)
logger.debug("Predicted output:\t%s", translation)
logger.debug("Actual output:\t%s", output_line)
logger.debug("-" * 30)