* Vá para o diretório de seu projeto.
* Crie um `Dockerfile` com:

```Dockerfile
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.7

COPY ./app /app
```

#### Grandes aplicações

Se você seguiu a seção sobre criação de [Grandes Aplicações com Múltiplos Arquivos](tutorial/bigger-applications.md){.internal-link target=_blank}, seu `Dockerfile` poderia parecer como:

```Dockerfile

  @Override
  boolean add(@ParametricNullness E element);

  /**
   * Removes a number of occurrences of the specified element from this multiset. If the multiset
   * contains fewer than this number of occurrences to begin with, all occurrences will be removed.
   * Note that if {@code occurrences == 1}, this is functionally equivalent to the call {@code
   * remove(element)}.
   *

      }
    }

    /**
     * Removes a number of occurrences of the specified element from this multiset. If the multiset
     * contains fewer than this number of occurrences to begin with, all occurrences will be
     * removed.
     *
     * @param element the element whose occurrences should be removed
     * @param occurrences the number of occurrences of the element to remove

            "42.42.42.ab",
            "3ffe::1.net",
            "3ffe::1::1",
            "1::2::3::4:5",
            "::7:6:5:4:3:2:", // should end with ":0"
            ":6:5:4:3:2:1::", // should begin with "0:"
            "2001::db:::1",
            "FEDC:9878",
            "+1.+2.+3.4",
            "1.2.3.4e0",
            "6:5:4:3:2:1:0", // too few parts
            "::7:6:5:4:3:2:1:0", // too many parts

    gtl::ArraySlice<Gradient*> output_gradients, absl::Span<Gradient*> result,
    bool build_default_zeros_grads) {
  std::unordered_set<int64_t> sources_set(source_tensor_ids.begin(),
                                          source_tensor_ids.end());
  BackpropInitialState<BackwardFunction, TapeTensor> state = PrepareBackprop(
      target_tensor_ids, tensor_tape_, &op_tape_, sources_set, persistent_);

            "42.42.42.ab",
            "3ffe::1.net",
            "3ffe::1::1",
            "1::2::3::4:5",
            "::7:6:5:4:3:2:", // should end with ":0"
            ":6:5:4:3:2:1::", // should begin with "0:"
            "2001::db:::1",
            "FEDC:9878",
            "+1.+2.+3.4",
            "1.2.3.4e0",
            "6:5:4:3:2:1:0", // too few parts
            "::7:6:5:4:3:2:1:0", // too many parts

              combined_shape.SetDimWithStatus(axis_index, axis_length));
        }
      }
    }
    auto dim_sizes = combined_shape.dim_sizes();
    shape_ = std::vector<int64_t>(dim_sizes.begin(), dim_sizes.end());
  }
  *shape = &*shape_;
  return absl::OkStatus();
}

Status ParallelTensor::SummarizeValue(std::string& summary) {
  summary = "{";

  @GwtIncompatible(value = "java.util.regex.Pattern")
  public static Predicate<CharSequence> contains(Pattern pattern) {
    return new ContainsPatternPredicate(new JdkPattern(pattern));
  }

  // End public API, begin private implementation classes.

  // Package private for GWT serialization.
  enum ObjectPredicate implements Predicate<@Nullable Object> {
    /** @see Predicates#alwaysTrue() */
    ALWAYS_TRUE {
      @Override

    }
  }

  /**
   * Removes a number of occurrences of the specified element from this multiset. If the multiset
   * contains fewer than this number of occurrences to begin with, all occurrences will be removed.
   *
   * @param element the element whose occurrences should be removed
   * @param occurrences the number of occurrences of the element to remove

En lugar de eso, al ser un sistema "asíncrono", una vez finalizada, la tarea puede esperar un poco en la cola (algunos microsegundos) para que la computadora / programa termine lo que estaba haciendo, y luego vuelva para recoger los resultados y seguir trabajando con ellos.