Error while using pretrained model

[EngSalem]

I am trying to use your QRNN model on my own dataset on colab, the fastain version I am using is 1.0.51 as in your notebook. I am using same qrnn configuration, yet I am getting this error:

ImportError: No module named 'forget_mult_cuda'

do you happen to know why

[Rashwan]

Sorry for the late response, Could you share the full error stack trace?

[EngSalem]

NP Ahmed,

I am trying to use your model on my own data on colab.

I am getting this error when I pass your qrnn configuration

---

ImportError Traceback (most recent call last)
in ()
----> 1 lm_learner = language_model_learner(data_lm,AWD_LSTM,pretrained=False,config=qrnn_config,drop_mult=.3,pretrained_fnames=pretrained_fnames)

/usr/local/lib/python3.6/dist-packages/fastai/text/learner.py in language_model_learner(data, arch, config, drop_mult, pretrained, pretrained_fnames, **learn_kwargs)
202 pretrained_fnames:OptStrTuple=None, **learn_kwargs) -> 'LanguageLearner':
203 "Create a Learner with a language model from data and arch."
--> 204 model = get_language_model(arch, len(data.vocab.itos), config=config, drop_mult=drop_mult)
205 meta = _model_meta[arch]
206 learn = LanguageLearner(data, model, split_func=meta['split_lm'], **learn_kwargs)

/usr/local/lib/python3.6/dist-packages/fastai/text/learner.py in get_language_model(arch, vocab_sz, config, drop_mult)
193 tie_weights,output_p,out_bias = map(config.pop, ['tie_weights', 'output_p', 'out_bias'])
194 init = config.pop('init') if 'init' in config else None
--> 195 encoder = arch(vocab_sz, **config)
196 enc = encoder.encoder if tie_weights else None
197 decoder = LinearDecoder(vocab_sz, config[meta['hid_name']], output_p, tie_encoder=enc, bias=out_bias)

/usr/local/lib/python3.6/dist-packages/fastai/text/models/awd_lstm.py in init(self, vocab_sz, emb_sz, n_hid, n_layers, pad_token, hidden_p, input_p, embed_p, weight_p, qrnn, bidir)
88 if self.qrnn:
89 #Using QRNN requires an installation of cuda
---> 90 from .qrnn import QRNN
91 self.rnns = [QRNN(emb_sz if l == 0 else n_hid, n_hid if l != n_layers - 1 else emb_sz, 1,
92 save_prev_x=True, zoneout=0, window=2 if l == 0 else 1, output_gate=True)

/usr/local/lib/python3.6/dist-packages/fastai/text/models/qrnn.py in ()
9 fastai_path = Path(fastai.path[0])/'text'/'models'
10 files = ['forget_mult_cuda.cpp', 'forget_mult_cuda_kernel.cu']
---> 11 forget_mult_cuda = load(name='forget_mult_cuda', sources=[fastai_path/f for f in files])
12 files = ['bwd_forget_mult_cuda.cpp', 'bwd_forget_mult_cuda_kernel.cu']
13 bwd_forget_mult_cuda = load(name='bwd_forget_mult_cuda', sources=[fastai_path/f for f in files])

/usr/local/lib/python3.6/dist-packages/torch/utils/cpp_extension.py in load(name, sources, extra_cflags, extra_cuda_cflags, extra_ldflags, extra_include_paths, build_directory, verbose, with_cuda, is_python_module)
643 verbose,
644 with_cuda,
--> 645 is_python_module)
646
647

/usr/local/lib/python3.6/dist-packages/torch/utils/cpp_extension.py in _jit_compile(name, sources, extra_cflags, extra_cuda_cflags, extra_ldflags, extra_include_paths, build_directory, verbose, with_cuda, is_python_module)
823 if verbose:
824 print('Loading extension module {}...'.format(name))
--> 825 return _import_module_from_library(name, build_directory, is_python_module)
826
827

/usr/local/lib/python3.6/dist-packages/torch/utils/cpp_extension.py in _import_module_from_library(module_name, path, is_python_module)
962 def _import_module_from_library(module_name, path, is_python_module):
963 # https://stackoverflow.com/questions/67631/how-to-import-a-module-given-the-full-path
--> 964 file, path, description = imp.find_module(module_name, [path])
965 # Close the .so file after load.
966 with file:

/usr/lib/python3.6/imp.py in find_module(name, path)
295 break # Break out of outer loop when breaking out of inner loop.
296 else:
--> 297 raise ImportError(_ERR_MSG.format(name), name=name)
298
299 encoding = None

ImportError: No module named 'forget_mult_cuda'

I am using same version of fastai as in your notebook

[matcosta23]

Hello!

I'm getting the same error... Did you find any kind of solution?

Thanks!