[BUG] pipeline-nlp fails between dropna and preprocess stages (22.06)

[pdmack]

Describe the bug
Traditional NLP file-based smoke test fails in docker runtime image at 7684908

There's an unusual reference to "cannot convert integer from 'version https://git-lfs.github.com/spec/v1': stoi" in the stacktrace.

Configuring Pipeline via CLI
Starting pipeline via CLI... Ctrl+C to Quit
WARNING: Logging before InitGoogleLogging() is written to STDERR
W20220629 16:01:32.859344  1126 triton_inference.cpp:248] Failed to connect to Triton at 'ai-engine:8001'. Default gRPC port of (8001) was detected but C++ InferenceClientStage uses HTTP protocol. Retrying with default HTTP port (8000)
Drop Null Attributes rate[Complete]: 93085messages [00:01, 76Line 1: cannot convert integer from 'version https://git-lfs.github.com/spec/v1': stoi
Deserialization rate: 8192messages [00:01, 6749.30messages/s]
E20220629 16:01:34.085346  1159 context.cpp:125] main/preprocess-nlp-5; rank: 0; size: 1; tid: 139774159091456: set_exception issued; issuing kill to current runnable. Exception msg: stoi: 0inf [00:00, ?inf/s]                        E20220629 16:01:34.090284   959 runner.cpp:190] Runner::await_join - an exception was caught while awaiting on one or more contexts/instances - rethrowingages [00:01, 6749.30messages/s]
E20220629 16:01:34.090341   959 instance.cpp:259] segment::Instance - an exception was caught while awaiting on one or more nodes - rethrowing
E20220629 16:01:34.090363   959 instance.cpp:218] pipeline::Instance - an exception was caught while awaiting on segments - rethrowing
Drop Null Attributes rate[Complete]: 93085messages [00:01, 76784.38messages/s]
Deserialization rate[Complete]: 93085messages [00:01, 76555.85messages/s]
Preprocessing rate[Complete]: 0messages [00:00, ?messages/s]
Inference rate[Complete]: 0inf [00:00, ?inf/s]
Classification rate[Complete]: 0messages [00:00, ?messages/s]
Serialization rate[Complete]: 0messages [00:00, ?messages/s]

Steps/Code to reproduce bug

morpheus --debug run --use_cpp=True --num_threads=8 --pipeline_batch_size=8192 --model_max_batch_size=32 --edge_buffer_size=32  pipeline-nlp --model_seq_length=256 from-file --filename=/common/data/model_data/pcap_dump.jsonlines dropna monitor --description='Drop Null Attributes rate' deserialize monitor --description='Deserialization rate' preprocess --vocab_hash_file=data/bert-base-uncased-hash.txt --truncation=True --do_lower_case=True --add_special_tokens=False monitor --description='Preprocessing rate' inf-triton --force_convert_inputs=True --model_name=sid-minibert-onnx --server_url=ai-engine:8001 --use_shared_memory=True monitor --description='Inference rate' --smoothing=0.001 --unit inf add-class monitor --description='Classification rate' serialize --exclude '^ts_' monitor --description='Serialization rate' to-file --filename=/common/data/output/sid-minibert-onnx-output.jsonlines --overwrite

Expected behavior
Completed pipeline run without errors.

Environment overview (please complete the following information)

• Environment location: [Bare-metal, Docker]
• Method of Morpheus install: [Docker/k8s]

Environment details
https://gist.github.com/pdmack/8f9342321523251bf9ecdd8cd349a029

Additional context
Needed by #237