tensorflow/models · error · ValueError

File output is a directory, will not save outputs to file.

Error message

File output is a directory, will not save outputs to file.

What it means

Error "File output is a directory, will not save outputs to file." thrown in tensorflow/models.

Source

Thrown at official/legacy/transformer/translate.py:171

      val_outputs = [output for _, output in outputs]

      val_outputs = np.reshape(val_outputs, [params["decode_batch_size"], -1])
    else:
      val_outputs, _ = model.predict(text)

    length = len(val_outputs)
    for j in range(length):
      if j + i * batch_size < total_samples:
        translation = _trim_and_decode(val_outputs[j], subtokenizer)
        translations.append(translation)
        if print_all_translations:
          logging.info("Translating:\n\tInput: %s\n\tOutput: %s",
                       sorted_inputs[j + i * batch_size], translation)

  # Write translations in the order they appeared in the original file.
  if output_file is not None:
    if tf.io.gfile.isdir(output_file):
      raise ValueError("File output is a directory, will not save outputs to "
                       "file.")
    logging.info("Writing to file %s", output_file)
    with tf.io.gfile.GFile(output_file, "w") as f:
      for i in sorted_keys:
        f.write("%s\n" % translations[i])


def translate_from_text(model, subtokenizer, txt):
  encoded_txt = _encode_and_add_eos(txt, subtokenizer)
  result = model.predict(encoded_txt)
  outputs = result["outputs"]
  logging.info("Original: \"%s\"", txt)
  translate_from_input(outputs, subtokenizer)


def translate_from_input(outputs, subtokenizer):
  translation = _trim_and_decode(outputs, subtokenizer)
  logging.info("Translation: \"%s\"", translation)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/transformer/translate.py:171 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/3ee6cb5e55227304. Report an issue: GitHub.