Recursion error

[natez311]

Hi,

I am getting a recursion error when running this:
RecursionError: maximum recursion depth exceeded while calling a Python object

Is there any way around this? Here's the full error:

[2021-05-31 12:35:10,153] ERROR in app: Exception on /run_forward [POST] Traceback (most recent call last): File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/flask/app.py", line 2070, in wsgi_app response = self.full_dispatch_request() File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/flask/app.py", line 1515, in full_dispatch_request rv = self.handle_user_exception(e) File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/flask/app.py", line 1513, in full_dispatch_request rv = self.dispatch_request() File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/flask/app.py", line 1499, in dispatch_request return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args) File "server.py", line 129, in forward temp = preprocess_output(model_output, tokenizer, temp, sentence, decoding_params, model) File "server.py", line 107, in preprocess_output temp = preprocess_output(model_output, tokenizer, temp, sentence, decoding_params, model) File "server.py", line 107, in preprocess_output temp = preprocess_output(model_output, tokenizer, temp, sentence, decoding_params, model) File "server.py", line 107, in preprocess_output temp = preprocess_output(model_output, tokenizer, temp, sentence, decoding_params, model) [Previous line repeated 953 more times] File "server.py", line 106, in preprocess_output model_output = run_model(sentence, decoding_params, tokenizer, model) File "server.py", line 52, in run_model beam_outputs = model.generate( File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/transformers/generation_utils.py", line 997, in generate return self.sample( File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/transformers/generation_utils.py", line 1512, in sample outputs = self( File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/transformers/models/t5/modeling_t5.py", line 1593, in forward decoder_outputs = self.decoder( File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/transformers/models/t5/modeling_t5.py", line 985, in forward layer_outputs = layer_module( File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/transformers/models/t5/modeling_t5.py", line 637, in forward self_attention_outputs = self.layer[0]( File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/transformers/models/t5/modeling_t5.py", line 544, in forward attention_output = self.SelfAttention( File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/transformers/models/t5/modeling_t5.py", line 473, in forward key_states = project( File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/transformers/models/t5/modeling_t5.py", line 453, in project hidden_states = shape(proj_layer(hidden_states)) File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/torch/nn/modules/linear.py", line 94, in forward return F.linear(input, self.weight, self.bias) File "/Users/nathanielhurwitz/.local/share/virtualenvs/PROJECTS-4wxitYh0/lib/python3.8/site-packages/torch/nn/functional.py", line 1753, in linear return torch._C._nn.linear(input, weight, bias)