Testing new data using fairseq-generate with trained models

What is the exact command to translate a new test data using the fairseq trained models ?
I have kept a test data set for translation inside /home/ola/NMT/corpus/test-en-hi folder. The command I have given is, fairseq-generate /home/ola/NMT/corpus/test-en-hi --path checkpoints/fconv/checkpoint_best.pt --batch-size 128 --beam 5 --skip-invalid-size-inputs-valid-test --source-lang en --target-lang hi >trans-en-hi.out But, it is showing an error FileNotFoundError: [Errno 2] No such file or directory: ‘/home/ola/NMT/corpus/test-en-hi/dict.en.txt’ It is asking for a dict.en.txt file… Why it is so ? Actually, after preprocessing (before training) there is a data-bin/IITB.en-hi folder created with all binarized fies in that dict.en.txt also present. Now what is the requirement for a dict.en.txt to translate a new dataset…?

Could you please help me to get the exact command to translate a test data using fairseq trained models.

What have you tried?

fairseq-generate /home/ola/NMT/corpus/test-en-hi --path checkpoints/fconv/checkpoint_best.pt --batch-size 128 --beam 5 --skip-invalid-size-inputs-valid-test --source-lang en --target-lang hi >trans-en-hi.out

What’s your environment?

• fairseq Version :0.10.1
• PyTorch Version : 1.7.1.post2
• OS : Ubuntu 18.04
• How you installed fairseq (pip, source):conda install -c conda-forge pytorch cudatoolkit=10.1 nvidia-apex fairseq==0.10.1
• Build command you used (if compiling from source):
• Python version: Python 3.6.12 :: Anaconda, Inc.
• CUDA/cuDNN version:10.1
• GPU models and configuration: NVIDIA-SMI 418.40.04 Driver Version: 418.40.04 CUDA Version: 10.1 Tesla K80
• Any other relevant information:

[sascam]

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This issue is still there.

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