benchmarks/transducer_benchmark.py [57:74]:
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    N = 81
    T = 250
    L = 44
    B = 1
    if len(sys.argv) > 1:
        B = int(sys.argv[1])

    tokens = [(i,) for i in range(N)]
    graphemes_to_index = {i : i for i in range(N)}

    ITERATIONS = 20
    inputs = torch.randn(B, T, N, dtype=torch.float, requires_grad=True)

    targets = [tgt.squeeze()
        for tgt in torch.randint(N, size=(B, L)).split(1)]

    for ngram in [0, 1, 2]:
        crit = transducer.Transducer(
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benchmarks/transducer_benchmark.py [91:108]:
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    N = 81
    T = 250
    L = 44
    B = 1
    if len(sys.argv) > 1:
        B = int(sys.argv[1])

    tokens = [(i,) for i in range(N)]
    graphemes_to_index = {i : i for i in range(N)}

    ITERATIONS = 20
    inputs = torch.randn(B, T, N, dtype=torch.float, requires_grad=True)

    targets = [tgt.squeeze()
        for tgt in torch.randint(N, size=(B, L)).split(1)]

    for ngram in [0, 1, 2]:
        crit = transducer.Transducer(
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