Traceback (most recent call last):


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/errors.py", line 744, in new_error_context

yield


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/lowering.py", line 230, in lower_block

self.lower_inst(inst)


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/lowering.py", line 443, in lower_inst

func(self, inst)


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/parfors/parfor_lowering.py", line 259, in _lower_parfor_parallel

exp_name_to_tuple_var) = _create_gufunc_for_parfor_body(


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/parfors/parfor_lowering.py", line 1361, in _create_gufunc_for_parfor_body

kernel_func = compiler.compile_ir(


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/compiler.py", line 665, in compile_ir

return pipeline.compile_ir(func_ir=func_ir, lifted=lifted,


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/compiler.py", line 362, in compile_ir

return self._compile_ir()


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/compiler.py", line 421, in _compile_ir

return self._compile_core()


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/compiler.py", line 394, in _compile_core

raise e


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/compiler.py", line 385, in _compile_core

pm.run(self.state)


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/compiler_machinery.py", line 339, in run

raise patched_exception


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/compiler_machinery.py", line 330, in run

self._runPass(idx, pass_inst, state)


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/compiler_lock.py", line 32, in _acquire_compile_lock

return func(*args, **kwargs)


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/compiler_machinery.py", line 289, in _runPass

mutated |= check(pss.run_pass, internal_state)


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/compiler_machinery.py", line 262, in check

mangled = func(compiler_state)


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/typed_passes.py", line 449, in run_pass

NativeLowering().run_pass(state)


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/typed_passes.py", line 373, in run_pass

lower.lower()


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/lowering.py", line 174, in lower

self.library.add_ir_module(self.module)


 "/home/auderson/miniconda3/lib/python3.8/site-packages/numba/core/codegen.py", line 648, in add_ir_module

ll_module = ll.parse_assembly(ir)


 "/home/auderson/miniconda3/lib/python3.8/site-packages/llvmlite/binding/module.py", line 25, in parse_assembly

raise RuntimeError("LLVM IR parsing error\n{0}".format(errmsg))
RuntimeError: Failed in nopython mode pipeline (step: nopython mode backend)

Traceback (most recent call last):


 "demo.py", line 63, in <module>

stylized_img = p_wct.transform(cont_img, styl_img, cont_seg, styl_seg)


 "/home/paperspace/style/FastPhotoStyle/photo_wct.py", line 41, in transform

csF4 = self.__feature_wct(cF4, sF4, cont_seg, styl_seg)


 "/home/paperspace/style/FastPhotoStyle/photo_wct.py", line 119, in __feature_wct

tmp_target_feature = self.__wct_core(cont_feat_view, styl_feat_view)


 "/home/paperspace/style/FastPhotoStyle/photo_wct.py", line 148, in __wct_core

c_mean = c_mean.unsqueeze(1).expand_as(cont_feat)


 "/home/paperspace/anaconda3/envs/style/lib/python2.7/site-packages/torch/tensor.py", line 215, in expand_as

return self.expand(tensor.size())
RuntimeError: the number of sizes provided
must be greater or equal to the number of dimensions in the tensor at /opt/conda/conda-bld/pytorch_1501972792122/work/pytorch-0.1.12/torch/lib/THC/generic/THCTensor.c:299