Natural language processing

https://github.com/huggingface/transformers/blob/546dc24e0883e5e9f5eb06ec8060e3e6ccc5f6d7/src/transformers/models/gpt2/modeling_gpt2.py#L698

Assertions can't be relied upon for control flow because they can be disabled, as per the following:

$ python --help
usage: python [option] ... [-c cmd | -m mod | file | -] [arg] ...
...
-O     : remove assert and __debug__-dependent statem

In gensim/models/fasttext.py:

    model = FastText(
        vector_size=m.dim,
        vector_size=m.dim,
        window=m.ws,
        window=m.ws,
        epochs=m.epoch,
        epochs=m.epoch,
        negative=m.neg,
        negative=m.neg,
        # FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
        # or model=3 supervi

Is your feature request related to a problem? Please describe.
I want to evaluate multiple datasets (same formatting, they can share the same dataset reader). The "evaluate" command takes much longer to load the model than to evaluate.

Describe the solution you'd like
support passing multiple input files and output files to the "evaluate" command

**Describe alternatives you've cons

Running pytest with the new Python 3.9.4 shows a number of deprecation warnings about future failures to anticipate:

============================= test session starts ==============================
platform linux -- Python 3.9.4, pytest-6.2.0, py-1.10.0, pluggy-0.13.1

[....]
=============================== warnings summary ===============================
chunk.doctest::chunk.doctest
<d

The new GrpcDataRuntime (https://github.com/jina-ai/jina/blob/master/jina/peapods/runtimes/grpc/__init__.py) does not support sharding at the moment. Thus a Flow should not specify this runtime and a sharded pod at the same time.

Right now this will not raise any error, but silently produce unexpected behavior. This is undesirable and the Flow should rather check this condition and raise an app