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Describe the bug RapidsAI isnt working in ai-lab:20.03 or 20.06
To Reproduce import cudf
Expected behavior no error
Screenshots
import cudf --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-1-e13365c50bc4> in <module> ----> 1 import cudf /opt/conda/lib/python3.6/site-packages/cudf/__init__.py in <module> 3 import cupy 4 ----> 5 import rmm 6 7 from cudf import core, datasets /opt/conda/lib/python3.6/site-packages/rmm/__init__.py in <module> 15 import weakref 16 ---> 17 from rmm.rmm import ( 18 RMMError, 19 _finalize, /opt/conda/lib/python3.6/site-packages/rmm/rmm.py in <module> 17 18 import numpy as np ---> 19 from numba import cuda 20 21 import rmm._lib as librmm /opt/conda/lib/python3.6/site-packages/numba/__init__.py in <module> 296 297 # Initialize typed containers --> 298 import numba.typed /opt/conda/lib/python3.6/site-packages/numba/typed/__init__.py in <module> ----> 1 from .typeddict import Dict 2 from .typedlist import List /opt/conda/lib/python3.6/site-packages/numba/typed/typeddict.py in <module> 20 21 ---> 22 @njit 23 def _make_dict(keyty, valty): 24 return dictobject._as_meminfo(dictobject.new_dict(keyty, valty)) /opt/conda/lib/python3.6/site-packages/numba/core/decorators.py in njit(*args, **kws) 234 warnings.warn('forceobj is set for njit and is ignored', RuntimeWarning) 235 kws.update({'nopython': True}) --> 236 return jit(*args, **kws) 237 238 /opt/conda/lib/python3.6/site-packages/numba/core/decorators.py in jit(signature_or_function, locals, target, cache, pipeline_class, boundscheck, **options) 171 targetoptions=options, **dispatcher_args) 172 if pyfunc is not None: --> 173 return wrapper(pyfunc) 174 else: 175 return wrapper /opt/conda/lib/python3.6/site-packages/numba/core/decorators.py in wrapper(func) 187 disp = dispatcher(py_func=func, locals=locals, 188 targetoptions=targetoptions, --> 189 **dispatcher_args) 190 if cache: 191 disp.enable_caching() /opt/conda/lib/python3.6/site-packages/numba/core/dispatcher.py in __init__(self, py_func, locals, targetoptions, impl_kind, pipeline_class) 668 """ 669 self.typingctx = self.targetdescr.typing_context --> 670 self.targetctx = self.targetdescr.target_context 671 672 pysig = utils.pysignature(py_func) /opt/conda/lib/python3.6/site-packages/numba/core/registry.py in target_context(self) 45 return nested 46 else: ---> 47 return self._toplevel_target_context 48 49 @property /opt/conda/lib/python3.6/site-packages/numba/core/utils.py in __get__(self, instance, type) 329 if instance is None: 330 return self --> 331 res = instance.__dict__[self.name] = self.func(instance) 332 return res 333 /opt/conda/lib/python3.6/site-packages/numba/core/registry.py in _toplevel_target_context(self) 29 def _toplevel_target_context(self): 30 # Lazily-initialized top-level target context, for all threads ---> 31 return cpu.CPUContext(self.typing_context) 32 33 @utils.cached_property /opt/conda/lib/python3.6/site-packages/numba/core/base.py in __init__(self, typing_context) 257 258 # Initialize --> 259 self.init() 260 261 def init(self): /opt/conda/lib/python3.6/site-packages/numba/core/compiler_lock.py in _acquire_compile_lock(*args, **kwargs) 30 def _acquire_compile_lock(*args, **kwargs): 31 with self: ---> 32 return func(*args, **kwargs) 33 return _acquire_compile_lock 34 /opt/conda/lib/python3.6/site-packages/numba/core/cpu.py in init(self) 45 def init(self): 46 self.is32bit = (utils.MACHINE_BITS == 32) ---> 47 self._internal_codegen = codegen.JITCPUCodegen("numba.exec") 48 49 # Add ARM ABI functions from libgcc_s /opt/conda/lib/python3.6/site-packages/numba/core/codegen.py in __init__(self, module_name) 643 self._llvm_module.name = "global_codegen_module" 644 self._rtlinker = RuntimeLinker() --> 645 self._init(self._llvm_module) 646 647 def _init(self, llvm_module): /opt/conda/lib/python3.6/site-packages/numba/core/codegen.py in _init(self, llvm_module) 652 self._tm_features = self._customize_tm_features() 653 self._customize_tm_options(tm_options) --> 654 tm = target.create_target_machine(**tm_options) 655 engine = ll.create_mcjit_compiler(llvm_module, tm) 656 TypeError: create_target_machine() got an unexpected keyword argument 'jitdebug'
Client (please complete the following information):
Container Version 20.03 and 20.06
Additional context Add any other context about the problem here.
The text was updated successfully, but these errors were encountered:
tlkh
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Describe the bug
RapidsAI isnt working in ai-lab:20.03 or 20.06
To Reproduce
import cudf
Expected behavior
no error
Screenshots
Client (please complete the following information):
Container Version
20.03 and 20.06
Additional context
Add any other context about the problem here.
The text was updated successfully, but these errors were encountered: