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This repository has been archived by the owner on Feb 12, 2022. It is now read-only.
I am trying to replace my LSTM architecture with your interesting QRNN. Following your readme file, everything is installed successfully on my machine. However, while running the example provided, I keep getting this issue. Any idea of the reason?
~\Anaconda3\lib\site-packages\torch\nn\modules\module.py in call(self, *input, **kwargs)
545 result = self._slow_forward(*input, **kwargs)
546 else:
--> 547 result = self.forward(*input, **kwargs)
548 for hook in self._forward_hooks.values():
549 hook_result = hook(self, input, result)
~\Anaconda3\lib\site-packages\torchqrnn\qrnn.py in forward(self, input, hidden)
162
163 for i, layer in enumerate(self.layers):
--> 164 input, hn = layer(input, None if hidden is None else hidden[i])
165 next_hidden.append(hn)
166
~\Anaconda3\lib\site-packages\torch\nn\modules\module.py in call(self, *input, **kwargs)
545 result = self._slow_forward(*input, **kwargs)
546 else:
--> 547 result = self.forward(*input, **kwargs)
548 for hook in self._forward_hooks.values():
549 hook_result = hook(self, input, result)
~\Anaconda3\lib\site-packages\torchqrnn\qrnn.py in forward(self, X, hidden)
97 # Forget Mult
98 # For testing QRNN without ForgetMult CUDA kernel, C = Z * F may be useful
---> 99 C = ForgetMult()(F, Z, hidden, use_cuda=self.use_cuda)
100
101 # Apply (potentially optional) output gate
~\Anaconda3\lib\site-packages\torch\nn\modules\module.py in call(self, *input, **kwargs)
545 result = self._slow_forward(*input, **kwargs)
546 else:
--> 547 result = self.forward(*input, **kwargs)
548 for hook in self._forward_hooks.values():
549 hook_result = hook(self, input, result)
~\Anaconda3\lib\site-packages\torchqrnn\forget_mult.py in forward(self, f, x, hidden_init, use_cuda)
176 ###
177 # Avoiding 'RuntimeError: expected a Variable argument, but got NoneType' when hidden_init is None
--> 178 if hidden_init is None: return GPUForgetMult()(f, x) if use_cuda else CPUForgetMult()(f, x)
179 return GPUForgetMult()(f, x, hidden_init) if use_cuda else CPUForgetMult()(f, x, hidden_init)
180
I am using Cuda V10.0 while nvrtc tries to load nvrtc64_94.dll. Solved by changing the default binary file name of pynvrtc to nvrtc64_100_0.dll. Problem Solved!
issararab
changed the title
[WinError 126] The specified module could not be found - Can you please help figure out why is the sample code you provided to run QRNN is failing?
[WinError 126] The specified module could not be found - Any idea of the error source?
Mar 24, 2020
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Hi there,
I am trying to replace my LSTM architecture with your interesting QRNN. Following your readme file, everything is installed successfully on my machine. However, while running the example provided, I keep getting this issue. Any idea of the reason?
============================================================
OSError Traceback (most recent call last)
in
8 qrnn = QRNN(hidden_size, hidden_size, num_layers=2, dropout=0.4)
9 qrnn.cuda()
---> 10 output, hidden = qrnn(X)
11
12 print(output.size(), hidden.size())
~\Anaconda3\lib\site-packages\torch\nn\modules\module.py in call(self, *input, **kwargs)
545 result = self._slow_forward(*input, **kwargs)
546 else:
--> 547 result = self.forward(*input, **kwargs)
548 for hook in self._forward_hooks.values():
549 hook_result = hook(self, input, result)
~\Anaconda3\lib\site-packages\torchqrnn\qrnn.py in forward(self, input, hidden)
162
163 for i, layer in enumerate(self.layers):
--> 164 input, hn = layer(input, None if hidden is None else hidden[i])
165 next_hidden.append(hn)
166
~\Anaconda3\lib\site-packages\torch\nn\modules\module.py in call(self, *input, **kwargs)
545 result = self._slow_forward(*input, **kwargs)
546 else:
--> 547 result = self.forward(*input, **kwargs)
548 for hook in self._forward_hooks.values():
549 hook_result = hook(self, input, result)
~\Anaconda3\lib\site-packages\torchqrnn\qrnn.py in forward(self, X, hidden)
97 # Forget Mult
98 # For testing QRNN without ForgetMult CUDA kernel, C = Z * F may be useful
---> 99 C = ForgetMult()(F, Z, hidden, use_cuda=self.use_cuda)
100
101 # Apply (potentially optional) output gate
~\Anaconda3\lib\site-packages\torch\nn\modules\module.py in call(self, *input, **kwargs)
545 result = self._slow_forward(*input, **kwargs)
546 else:
--> 547 result = self.forward(*input, **kwargs)
548 for hook in self._forward_hooks.values():
549 hook_result = hook(self, input, result)
~\Anaconda3\lib\site-packages\torchqrnn\forget_mult.py in forward(self, f, x, hidden_init, use_cuda)
176 ###
177 # Avoiding 'RuntimeError: expected a Variable argument, but got NoneType' when hidden_init is None
--> 178 if hidden_init is None: return GPUForgetMult()(f, x) if use_cuda else CPUForgetMult()(f, x)
179 return GPUForgetMult()(f, x, hidden_init) if use_cuda else CPUForgetMult()(f, x, hidden_init)
180
~\Anaconda3\lib\site-packages\torchqrnn\forget_mult.py in forward(self, f, x, hidden_init)
118
119 def forward(self, f, x, hidden_init=None):
--> 120 self.compile()
121 seq_size, batch_size, hidden_size = f.size()
122 result = f.new(seq_size + 1, batch_size, hidden_size)
~\Anaconda3\lib\site-packages\torchqrnn\forget_mult.py in compile(self)
100 def compile(self):
101 if self.ptx is None:
--> 102 program = Program(kernel.encode(), 'recurrent_forget_mult.cu'.encode())
103 GPUForgetMult.ptx = program.compile()
104
~\Anaconda3\lib\site-packages\pynvrtc\compiler.py in init(self, src, name, headers, include_names, lib_name)
47 headers=[], include_names=[],
48 lib_name=''):
---> 49 self._interface = NVRTCInterface(lib_name)
50 self._program = self._interface.nvrtcCreateProgram(src, name,
51 headers,
~\Anaconda3\lib\site-packages\pynvrtc\interface.py in init(self, lib_path)
85 def init(self, lib_path=''):
86 self._lib = None
---> 87 self._load_nvrtc_lib(lib_path)
88
89 def _load_nvrtc_lib(self, lib_path):
~\Anaconda3\lib\site-packages\pynvrtc\interface.py in _load_nvrtc_lib(self, lib_path)
107 name = lib_path
108
--> 109 self._lib = cdll.LoadLibrary(name)
110
111 self._lib.nvrtcCreateProgram.argtypes = [
~\Anaconda3\lib\ctypes_init_.py in LoadLibrary(self, name)
424
425 def LoadLibrary(self, name):
--> 426 return self._dlltype(name)
427
428 cdll = LibraryLoader(CDLL)
~\Anaconda3\lib\ctypes_init_.py in init(self, name, mode, handle, use_errno, use_last_error)
346
347 if handle is None:
--> 348 self._handle = _dlopen(self._name, mode)
349 else:
350 self._handle = handle
OSError: [WinError 126] The specified module could not be found
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