LoweringError: Failed in nopython mode pipeline (step: nopython mode backend) Operands must be the same type, got (i64, i32)

[taltekte]

I am trying to run this lib on Anaconda on Windows 10.
After I am run code, it stoped on
mssa.fit(wine_tr.to_numpy()[:500])

LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Operands must be the same type, got (i64, i32)

File "..........\ProgramData\Anaconda3\lib\site-packages\pymssa-0.1.0-py3.7.egg\pymssa\optimized.py", line 226:
def incremental_component_reconstruction(trajectory_matrix,

components = np.zeros((P, N, rank))
^

[1] During: lowering "$0.7 = call $0.2($0.6, func=$0.2, args=[Var($0.6, C:\ProgramData\Anaconda3\lib\site-packages\pymssa-0.1.0-py3.7.egg\pymssa\optimized.py (226))], kws=(), vararg=None)" at C:\ProgramData\Anaconda3\lib\site-packages\pymssa-0.1.0-py3.7.egg\pymssa\optimized.py (226)

This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.45.1.

Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new

If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba

Thanks in advance for your help in improving Numba!

[taltekte]

All messege was

Constructing trajectory matrix
Trajectory matrix shape: (1250, 251)
Decomposing trajectory covariance matrix with SVD
Constructing components
C:\ProgramData\Anaconda3\lib\site-packages\pymssa-0.1.0-py3.7.egg\pymssa\optimized.py:233: NumbaPerformanceWarning: np.dot() is faster on contiguous arrays, called on (array(float64, 2d, A), array(float64, 2d, A))
L

ValueError Traceback (most recent call last)
C:\ProgramData\Anaconda3\lib\site-packages\numba\errors.py in new_error_context(fmt_, *args, **kwargs)
661 try:
--> 662 yield
663 except NumbaError as e:

C:\ProgramData\Anaconda3\lib\site-packages\numba\lowering.py in lower_block(self, block)
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259

C:\ProgramData\Anaconda3\lib\site-packages\numba\lowering.py in lower_inst(self, inst)
300 ty = self.typeof(inst.target.name)
--> 301 val = self.lower_assign(ty, inst)
302 self.storevar(val, inst.target.name)

C:\ProgramData\Anaconda3\lib\site-packages\numba\lowering.py in lower_assign(self, ty, inst)
458 elif isinstance(value, ir.Expr):
--> 459 return self.lower_expr(ty, value)
460

C:\ProgramData\Anaconda3\lib\site-packages\numba\lowering.py in lower_expr(self, resty, expr)
918 elif expr.op == 'call':
--> 919 res = self.lower_call(resty, expr)
920 return res

C:\ProgramData\Anaconda3\lib\site-packages\numba\lowering.py in lower_call(self, resty, expr)
710 else:
--> 711 res = self._lower_call_normal(fnty, expr, signature)
712

C:\ProgramData\Anaconda3\lib\site-packages\numba\lowering.py in _lower_call_normal(self, fnty, expr, signature)
889
--> 890 res = impl(self.builder, argvals, self.loc)
891 return res

C:\ProgramData\Anaconda3\lib\site-packages\numba\targets\base.py in call(self, builder, args, loc)
1131 def call(self, builder, args, loc=None):
-> 1132 res = self._imp(self._context, builder, self._sig, args, loc=loc)
1133 self._context.add_linking_libs(getattr(self, 'libs', ()))

C:\ProgramData\Anaconda3\lib\site-packages\numba\targets\base.py in wrapper(*args, **kwargs)
1156 kwargs.pop('loc') # drop unused loc
-> 1157 return fn(*args, **kwargs)
1158

C:\ProgramData\Anaconda3\lib\site-packages\numba\targets\arrayobj.py in numpy_zeros_nd(context, builder, sig, args)
3373 arrtype, shapes = _parse_empty_args(context, builder, sig, args)
-> 3374 ary = _empty_nd_impl(context, builder, arrtype, shapes)
3375 _zero_fill_array(context, builder, ary)

C:\ProgramData\Anaconda3\lib\site-packages\numba\targets\arrayobj.py in _empty_nd_impl(context, builder, arrtype, shapes)
3260 for s in shapes:
-> 3261 arrlen = builder.mul(arrlen, s)
3262

C:\ProgramData\Anaconda3\lib\site-packages\llvmlite\ir\builder.py in wrapped(self, lhs, rhs, name, flags)
23 raise ValueError("Operands must be the same type, got (%s, %s)"
---> 24 % (lhs.type, rhs.type))
25 instr = cls(self.block, lhs.type, opname, (lhs, rhs), name, flags)

ValueError: Operands must be the same type, got (i64, i32)

During handling of the above exception, another exception occurred:

LoweringError Traceback (most recent call last)
in
----> 1 mssa.fit(wine_tr.to_numpy()[:500])

C:\ProgramData\Anaconda3\lib\site-packages\pymssa-0.1.0-py3.7.egg\pymssa\mssa.py in fit(self, timeseries)
546 self.P_,
547 self.N_,
--> 548 self.L_
549 )
550

C:\ProgramData\Anaconda3\lib\site-packages\numba\dispatcher.py in _compile_for_args(self, *args, **kws)
393 e.patch_message(''.join(e.args) + help_msg)
394 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 395 raise e
396
397 def inspect_llvm(self, signature=None):

C:\ProgramData\Anaconda3\lib\site-packages\numba\dispatcher.py in _compile_for_args(self, *args, **kws)
350 argtypes.append(self.typeof_pyval(a))
351 try:
--> 352 return self.compile(tuple(argtypes))
353 except errors.TypingError as e:
354 # Intercept typing error that may be due to an argument

C:\ProgramData\Anaconda3\lib\site-packages\numba\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

C:\ProgramData\Anaconda3\lib\site-packages\numba\dispatcher.py in compile(self, sig)
691
692 self._cache_misses[sig] += 1
--> 693 cres = self._compiler.compile(args, return_type)
694 self.add_overload(cres)
695 self._cache.save_overload(sig, cres)

C:\ProgramData\Anaconda3\lib\site-packages\numba\dispatcher.py in compile(self, args, return_type)
74
75 def compile(self, args, return_type):
---> 76 status, retval = self._compile_cached(args, return_type)
77 if status:
78 return retval

C:\ProgramData\Anaconda3\lib\site-packages\numba\dispatcher.py in _compile_cached(self, args, return_type)
88
89 try:
---> 90 retval = self._compile_core(args, return_type)
91 except errors.TypingError as e:
92 self._failed_cache[key] = e

C:\ProgramData\Anaconda3\lib\site-packages\numba\dispatcher.py in _compile_core(self, args, return_type)
106 args=args, return_type=return_type,
107 flags=flags, locals=self.locals,
--> 108 pipeline_class=self.pipeline_class)
109 # Check typing error if object mode is used
110 if cres.typing_error is not None and not flags.enable_pyobject:

C:\ProgramData\Anaconda3\lib\site-packages\numba\compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
970 pipeline = pipeline_class(typingctx, targetctx, library,
971 args, return_type, flags, locals)
--> 972 return pipeline.compile_extra(func)
973
974

C:\ProgramData\Anaconda3\lib\site-packages\numba\compiler.py in compile_extra(self, func)
388 self.lifted = ()
389 self.lifted_from = None
--> 390 return self._compile_bytecode()
391
392 def compile_ir(self, func_ir, lifted=(), lifted_from=None):

C:\ProgramData\Anaconda3\lib\site-packages\numba\compiler.py in _compile_bytecode(self)
901 """
902 assert self.func_ir is None
--> 903 return self._compile_core()
904
905 def _compile_ir(self):

C:\ProgramData\Anaconda3\lib\site-packages\numba\compiler.py in _compile_core(self)
888 self.define_pipelines(pm)
889 pm.finalize()
--> 890 res = pm.run(self.status)
891 if res is not None:
892 # Early pipeline completion

C:\ProgramData\Anaconda3\lib\site-packages\numba\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

C:\ProgramData\Anaconda3\lib\site-packages\numba\compiler.py in run(self, status)
264 # No more fallback pipelines?
265 if is_final_pipeline:
--> 266 raise patched_exception
267 # Go to next fallback pipeline
268 else:

C:\ProgramData\Anaconda3\lib\site-packages\numba\compiler.py in run(self, status)
255 try:
256 event("-- %s" % stage_name)
--> 257 stage()
258 except _EarlyPipelineCompletion as e:
259 return e.result

C:\ProgramData\Anaconda3\lib\site-packages\numba\compiler.py in stage_nopython_backend(self)
762 """
763 lowerfn = self.backend_nopython_mode
--> 764 self._backend(lowerfn, objectmode=False)
765
766 def stage_compile_interp_mode(self):

C:\ProgramData\Anaconda3\lib\site-packages\numba\compiler.py in _backend(self, lowerfn, objectmode)
701 self.library.enable_object_caching()
702
--> 703 lowered = lowerfn()
704 signature = typing.signature(self.return_type, *self.args)
705 self.cr = compile_result(

C:\ProgramData\Anaconda3\lib\site-packages\numba\compiler.py in backend_nopython_mode(self)
688 self.calltypes,
689 self.flags,
--> 690 self.metadata)
691
692 def _backend(self, lowerfn, objectmode):

C:\ProgramData\Anaconda3\lib\site-packages\numba\compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags, metadata)
1141 lower = lowering.Lower(targetctx, library, fndesc, interp,
1142 metadata=metadata)
-> 1143 lower.lower()
1144 if not flags.no_cpython_wrapper:
1145 lower.create_cpython_wrapper(flags.release_gil)

C:\ProgramData\Anaconda3\lib\site-packages\numba\lowering.py in lower(self)
175 if self.generator_info is None:
176 self.genlower = None
--> 177 self.lower_normal_function(self.fndesc)
178 else:
179 self.genlower = self.GeneratorLower(self)

C:\ProgramData\Anaconda3\lib\site-packages\numba\lowering.py in lower_normal_function(self, fndesc)
216 # Init argument values
217 self.extract_function_arguments()
--> 218 entry_block_tail = self.lower_function_body()
219
220 # Close tail of entry block

C:\ProgramData\Anaconda3\lib\site-packages\numba\lowering.py in lower_function_body(self)
241 bb = self.blkmap[offset]
242 self.builder.position_at_end(bb)
--> 243 self.lower_block(block)
244
245 self.post_lower()

C:\ProgramData\Anaconda3\lib\site-packages\numba\lowering.py in lower_block(self, block)
256 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
257 loc=self.loc, errcls_=defaulterrcls):
--> 258 self.lower_inst(inst)
259
260 def create_cpython_wrapper(self, release_gil=False):

C:\ProgramData\Anaconda3\lib\contextlib.py in exit(self, type, value, traceback)
128 value = type()
129 try:
--> 130 self.gen.throw(type, value, traceback)
131 except StopIteration as exc:
132 # Suppress StopIteration unless it's the same exception that

C:\ProgramData\Anaconda3\lib\site-packages\numba\errors.py in new_error_context(fmt_, *args, **kwargs)
668 from numba import config
669 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 670 six.reraise(type(newerr), newerr, tb)
671
672

C:\ProgramData\Anaconda3\lib\site-packages\numba\six.py in reraise(tp, value, tb)
657 if value.traceback is not tb:
658 raise value.with_traceback(tb)
--> 659 raise value
660
661 else:

LoweringError: Failed in nopython mode pipeline (step: nopython mode backend)
Operands must be the same type, got (i64, i32)

File "..........\ProgramData\Anaconda3\lib\site-packages\pymssa-0.1.0-py3.7.egg\pymssa\optimized.py", line 226:
def incremental_component_reconstruction(trajectory_matrix,

components = np.zeros((P, N, rank))
^

[1] During: lowering "$0.7 = call $0.2($0.6, func=$0.2, args=[Var($0.6, C:\ProgramData\Anaconda3\lib\site-packages\pymssa-0.1.0-py3.7.egg\pymssa\optimized.py (226))], kws=(), vararg=None)" at C:\ProgramData\Anaconda3\lib\site-packages\pymssa-0.1.0-py3.7.egg\pymssa\optimized.py (226)

This should not have happened, a problem has occurred in Numba's internals.
You are currently using Numba version 0.45.1.

Please report the error message and traceback, along with a minimal reproducer
at: https://github.com/numba/numba/issues/new

If more help is needed please feel free to speak to the Numba core developers
directly at: https://gitter.im/numba/numba

Thanks in advance for your help in improving Numba!

[zhangcy0169]

I have the same problem