RuntimeError: Failed to parse Dictionary from the input stream.

[lawlict]

Hello, I try running the denoising program but it seems fail to load the model. Can you give me a hand? My environment is: Ubuntu 16.04, python 3.6, CNTK version=2.7. Error log is shown below.

Processing file: /home/l/denoising_DIHARD18/data/DH_0002.wav, segment: 1/3. ERROR: Problem encountered while processing file "/home/l/denoising_DIHARD18/data/DH_0002.wav". Skipping. Full error output: Traceback (most recent call last): File "main_denoising.py", line 95, in run super(Process, self).run() File "/home/l/anaconda3/lib/python3.6/multiprocessing/process.py", line 93, in run self._target(*self._args, self._kwargs) File "main_denoising.py", line 194, in denoise_wav gpu_id) File "/home/l/denoising_DIHARD18/decode_model.py", line 68, in decode_model model_dnn = load_model(MODELF) File "/home/l/anaconda3/lib/python3.6/site-packages/cntk/internal/swig_helper.py", line 69, in wrapper result = f(*args, *kwds) File "/home/l/anaconda3/lib/python3.6/site-packages/cntk/ops/functions.py", line 1721, in load_model return Function.load(model, device, format) File "/home/l/anaconda3/lib/python3.6/site-packages/cntk/internal/swig_helper.py", line 69, in wrapper result = f(args, kwds) File "/home/l/anaconda3/lib/python3.6/site-packages/cntk/ops/functions.py", line 1635, in load return cntk_py.Function.load(str(model), device, format.value) RuntimeError: Failed to parse Dictionary from the input stream.

[CALL STACK] [0x7ff44b946ac9] + 0x7c5ac9 [0x7ff44bb383d0] CNTK::operator>>(std::istream&, CNTK::Dictionary&) + 0xa0 [0x7ff44b94be83] CNTK::Function:: Load (std::cxx11::basic_string<wchar_t,std::char_traits,std::allocator> const&, CNTK::DeviceDescriptor const&, CNTK::ModelFormat) + 0xa3 [0x7ff44c9188d6] + 0x1cb8d6 [0x5592001e6ad1] _PyCFunction_FastCallDict + 0x91 [0x55920027667c] + 0x19e67c [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x559200271459] PyEval_EvalCodeEx + 0x329 [0x559200272376] + 0x19a376 [0x5592001e699e] PyObject_Call + 0x3e [0x55920029a470] _PyEval_EvalFrameDefault + 0x1ab0 [0x55920026fc26] + 0x197c26 [0x559200270941] + 0x198941 [0x559200276755] + 0x19e755 [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x559200271459] PyEval_EvalCodeEx + 0x329 [0x559200272376] + 0x19a376 [0x5592001e699e] PyObject_Call + 0x3e [0x55920029a470] _PyEval_EvalFrameDefault + 0x1ab0 [0x55920026fc26] + 0x197c26 [0x559200270941] + 0x198941 [0x559200276755] + 0x19e755 [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x55920026fa94] + 0x197a94 [0x559200270941] + 0x198941 [0x559200276755] + 0x19e755 [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x559200271459] PyEval_EvalCodeEx + 0x329 [0x559200272376] + 0x19a376 [0x5592001e699e] PyObject_Call + 0x3e [0x55920029a470] _PyEval_EvalFrameDefault + 0x1ab0 [0x55920027070b] + 0x19870b [0x559200276755] + 0x19e755 [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x55920026fc26] + 0x197c26 [0x559200270941] + 0x198941 [0x559200276755] + 0x19e755 [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x55920027070b] + 0x19870b [0x559200276755] + 0x19e755 [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x55920027070b] + 0x19870b [0x559200276755] + 0x19e755 [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x559200270d7b] _PyFunction_FastCallDict + 0x11b [0x5592001e6f5f] _PyObject_FastCallDict + 0x26f [0x5592001eba03] _PyObject_Call_Prepend + 0x63 [0x5592001e699e] PyObject_Call + 0x3e [0x55920024302b] + 0x16b02b [0x5592002769b7] + 0x19e9b7 [0x5592001e6d7b] _PyObject_FastCallDict + 0x8b [0x5592002767ce] + 0x19e7ce [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x55920027070b] + 0x19870b [0x559200276755] + 0x19e755 [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x55920027070b] + 0x19870b [0x559200276755] + 0x19e755 [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x55920027070b] + 0x19870b [0x559200276755] + 0x19e755 [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x55920026fa94] + 0x197a94 [0x559200270941] + 0x198941 [0x559200276755] + 0x19e755 [0x559200299a7a] _PyEval_EvalFrameDefault + 0x10ba [0x55920027070b] + 0x19870b [0x559200276755] + 0x19e755 [0x559200298cba] _PyEval_EvalFrameDefault + 0x2fa [0x559200271459] PyEval_EvalCodeEx + 0x329 [0x5592002721ec] PyEval_EvalCode + 0x1c [0x5592002ec9a4] + 0x2149a4 [0x5592002ecda1] PyRun_FileExFlags + 0xa1 [0x5592002ecfa4] PyRun_SimpleFileExFlags + 0x1c4 [0x5592002f0a9e] Py_Main + 0x63e [0x5592001b84be] main + 0xee [0x7ff461639830] libc_start_main + 0xf0 [0x55920029f773] + 0x1c7773

[lawlict]

Em... I get it. I directly clone it down instead of using command "git lfs clone https://github.com/staplesinLA/denoising_DIHARD18.git".