Harmonize default parameters in cli/translate and Python methods (#378)

Author: guillaumekln

cli/translate.cc

@@ -28,13 +28,13 @@ int main(int argc, char* argv[]) {
     ("use_vmap", "Use the vocabulary map included in the model to restrict the target candidates.",
      cxxopts::value<bool>()->default_value("false"))
     ("batch_size", "Size of the batch to forward into the model at once.",
-     cxxopts::value<size_t>()->default_value("30"))
+     cxxopts::value<size_t>()->default_value("32"))
     ("read_batch_size", "Size of the batch to read at once (defaults to batch_size).",
      cxxopts::value<size_t>()->default_value("0"))
     ("batch_type", "Batch type (can be examples, tokens).",
      cxxopts::value<std::string>()->default_value("examples"))
     ("beam_size", "Beam search size (set 1 for greedy decoding).",
-     cxxopts::value<size_t>()->default_value("5"))
+     cxxopts::value<size_t>()->default_value("2"))
     ("sampling_topk", "Sample randomly from the top K candidates.",
      cxxopts::value<size_t>()->default_value("1"))
     ("sampling_temperature", "Sampling temperature.",

docs/python.md

@@ -78,7 +78,7 @@ output = translator.translate_batch(
 stats = translator.translate_file(
     input_path: str,                # Input file.
     output_path: str,               # Output file.
-    max_batch_size: int,            # Maximum batch size to run the model on.
+    max_batch_size: int = 32,       # Maximum batch size to run the model on.
     read_batch_size: int = 0,       # Number of sentences to read at once.
     batch_type: str = "examples",   # Whether the batch size is the number of examples or tokens.
     beam_size: int = 2,

python/translator.cc

@@ -370,7 +370,7 @@ PYBIND11_MODULE(translator, m)
     .def("translate_file", &TranslatorWrapper::translate_file,
          py::arg("input_path"),
          py::arg("output_path"),
-         py::arg("max_batch_size"),
+         py::arg("max_batch_size")=32,
          py::arg("read_batch_size")=0,
          py::arg("batch_type")="examples",
          py::arg("beam_size")=2,