pass
def onSingleUpdate(ctr, src, trg):
if op == "gen":
print(VOC.str_rpr(trg[0]))
elif op == "sppl":
print(PPL(trg))
def onDecodingFinish(data, output):
if op == "gen":
for src_id, (inp, out) in sorted(output.items(), key=lambda x:x[0]):
print(TRG.str_rpr(out))
elif op == "cppl":
UF.trace("Corpus PPL:", PPL(output))
print(PPL(output))
tester = Tester(load_lm_gen_data, VOC, onDecodingStart, onBatchUpdate, onSingleUpdate, onDecodingFinish, batch=args.batch, out_vocab=VOC, options=decoding_options)
if op == "sppl" or op == "cppl":
if not args.src:
_, data = load_lm_data(sys.stdin, VOC)
else:
with open(args.src) as src_fp:
_, data = load_lm_data(src_fp, VOC)
data = list(batch_generator(data, (VOC, VOC), args.batch))
tester.eval(data, model)
elif op == "gen":
tester.test(args.src, model)
else:
raise NotImplementedError("Undefined operation:", op)
def onBatchUpdate(ctr, src, trg):
# Decoding
if args.verbose:
print_result(ctr, trg, TRG, src, SRC, sys.stderr)
def onSingleUpdate(ctr, src, trg):
align_fp = ao_fp if ao_fp is not None else sys.stderr
if args.verbose:
print_result(ctr, trg, TRG, src, SRC, sys.stderr)
print(TRG.str_rpr(trg.y[0]))
if trg.a is not None:
AlignmentVisualizer.print(trg.a, ctr, src, trg.y, SRC, TRG, fp=align_fp)
def onDecodingFinish(data, output):
align_fp = ao_fp if ao_fp is not None else sys.stderr
for src_id, (inp, out) in sorted(output.items(), key=lambda x:x[0]):
if type(out) == tuple:
out, align = out
AlignmentVisualizer.print([align], src_id, [inp], [out], SRC, TRG, fp=align_fp)
print(TRG.str_rpr(out))
# Execute testing
tester = Tester(load_nmt_test_data, SRC, onDecodingStart, onBatchUpdate, onSingleUpdate, onDecodingFinish, options=decoding_options, batch=args.batch)
tester.test(args.src, model)
# Finishing up
if ao_fp is not None:
ao_fp.close()