Traceback (most recent call last):


 "generate.py", line 153, in <module>

main()


 "generate.py", line 132, in main

out, attn = model([txt, spkr], feat)


 "/usr/local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 224, in __call__

result = self.forward(*input, **kwargs)


 "/home/xinwang/voiceloop/loop/model.py", line 247, in forward

context, ident = self.encoder(src[0], src[1])


 "/usr/local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 224, in __call__

result = self.forward(*input, **kwargs)


 "/home/xinwang/voiceloop/loop/model.py", line 66, in forward

outputs = self.lut_p(input)


 "/usr/local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 224, in __call__

result = self.forward(*input, **kwargs)


 "/usr/local/lib/python2.7/site-packages/torch/nn/modules/sparse.py", line 94, in forward

self.scale_grad_by_freq, self.sparse


 "/usr/local/lib/python2.7/site-packages/torch/nn/_functions/thnn/sparse.py", line 48, in forward

cls._renorm(indices, weight, max_norm, norm_type)
TypeError: _renorm() takes exactly 5 arguments (4 given)


Traceback (most recent call last):


 "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1184, in main_run_server

main_run(run_args)


 "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 1052, in main_run

skip = benchmark.do_setup()


 "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 583, in do_setup

result = Benchmark.do_setup(self)


 "/home/simon/miniconda3/envs/numpy-types/lib/python3.8/site-packages/asv/benchmark.py", line 515, in do_setup

setup(*self._current_params)


 "/home/simon/pandas/asv_bench/benchmarks/series_methods.py", line 157, in setup

self.values = np.arange(MaxNumber).astype(dtype)

TypeError: data type 'Int64' not understood
