ERROR in mssa.fit(df_tr)

[ashi24lion]

Constructing trajectory matrix
Trajectory matrix shape: (1600, 801)
Decomposing trajectory covariance matrix with SVD
Constructing components

ValueError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\numba\errors.py in new_error_context(fmt_, *args, **kwargs)
490 try:
--> 491 yield
492 except NumbaError as e:

~\Anaconda3\lib\site-packages\numba\lowering.py in lower_block(self, block)
215 loc=self.loc, errcls_=defaulterrcls):
--> 216 self.lower_inst(inst)
217

~\Anaconda3\lib\site-packages\numba\lowering.py in lower_inst(self, inst)
264 ty = self.typeof(inst.target.name)
--> 265 val = self.lower_assign(ty, inst)
266 self.storevar(val, inst.target.name)

~\Anaconda3\lib\site-packages\numba\lowering.py in lower_assign(self, ty, inst)
410 elif isinstance(value, ir.Expr):
--> 411 return self.lower_expr(ty, value)
412

~\Anaconda3\lib\site-packages\numba\lowering.py in lower_expr(self, resty, expr)
742 elif expr.op == 'call':
--> 743 res = self.lower_call(resty, expr)
744 return res

~\Anaconda3\lib\site-packages\numba\lowering.py in lower_call(self, resty, expr)
708
--> 709 res = impl(self.builder, argvals)
710

~\Anaconda3\lib\site-packages\numba\targets\base.py in call(self, builder, args)
1042 def call(self, builder, args):
-> 1043 return self._imp(self._context, builder, self._sig, args)
1044

~\Anaconda3\lib\site-packages\numba\targets\arrayobj.py in numpy_zeros_nd(context, builder, sig, args)
3260 arrtype, shapes = _parse_empty_args(context, builder, sig, args)
-> 3261 ary = _empty_nd_impl(context, builder, arrtype, shapes)
3262 _zero_fill_array(context, builder, ary)

~\Anaconda3\lib\site-packages\numba\targets\arrayobj.py in _empty_nd_impl(context, builder, arrtype, shapes)
3147 for s in shapes:
-> 3148 arrlen = builder.mul(arrlen, s)
3149

~\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(df_tr)

~\python_stuff_my_module\pymssa\mssa.py in fit(self, timeseries)
546 self.P_,
547 self.N_,
--> 548 self.L_
549 )
550

~\Anaconda3\lib\site-packages\numba\dispatcher.py in _compile_for_args(self, *args, **kws)
358 e.patch_message(''.join(e.args) + help_msg)
359 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 360 raise e
361
362 def inspect_llvm(self, signature=None):

~\Anaconda3\lib\site-packages\numba\dispatcher.py in _compile_for_args(self, *args, **kws)
309 argtypes.append(self.typeof_pyval(a))
310 try:
--> 311 return self.compile(tuple(argtypes))
312 except errors.TypingError as e:
313 # Intercept typing error that may be due to an argument

~\Anaconda3\lib\site-packages\numba\dispatcher.py in compile(self, sig)
616
617 self._cache_misses[sig] += 1
--> 618 cres = self._compiler.compile(args, return_type)
619 self.add_overload(cres)
620 self._cache.save_overload(sig, cres)

~\Anaconda3\lib\site-packages\numba\dispatcher.py in compile(self, args, return_type)
81 args=args, return_type=return_type,
82 flags=flags, locals=self.locals,
---> 83 pipeline_class=self.pipeline_class)
84 # Check typing error if object mode is used
85 if cres.typing_error is not None and not flags.enable_pyobject:

~\Anaconda3\lib\site-packages\numba\compiler.py in compile_extra(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)
869 pipeline = pipeline_class(typingctx, targetctx, library,
870 args, return_type, flags, locals)
--> 871 return pipeline.compile_extra(func)
872
873

~\Anaconda3\lib\site-packages\numba\compiler.py in compile_extra(self, func)
363 self.lifted = ()
364 self.lifted_from = None
--> 365 return self._compile_bytecode()
366
367 def compile_ir(self, func_ir, lifted=(), lifted_from=None):

~\Anaconda3\lib\site-packages\numba\compiler.py in _compile_bytecode(self)
800 """
801 assert self.func_ir is None
--> 802 return self._compile_core()
803
804 def _compile_ir(self):

~\Anaconda3\lib\site-packages\numba\compiler.py in _compile_core(self)
787 self.define_pipelines(pm)
788 pm.finalize()
--> 789 res = pm.run(self.status)
790 if res is not None:
791 # Early pipeline completion

~\Anaconda3\lib\site-packages\numba\compiler.py in run(self, status)
249 # No more fallback pipelines?
250 if is_final_pipeline:
--> 251 raise patched_exception
252 # Go to next fallback pipeline
253 else:

~\Anaconda3\lib\site-packages\numba\compiler.py in run(self, status)
241 try:
242 event(stage_name)
--> 243 stage()
244 except _EarlyPipelineCompletion as e:
245 return e.result

~\Anaconda3\lib\site-packages\numba\compiler.py in stage_nopython_backend(self)
674 """
675 lowerfn = self.backend_nopython_mode
--> 676 self._backend(lowerfn, objectmode=False)
677
678 def stage_compile_interp_mode(self):

~\Anaconda3\lib\site-packages\numba\compiler.py in _backend(self, lowerfn, objectmode)
624 self.library.enable_object_caching()
625
--> 626 lowered = lowerfn()
627 signature = typing.signature(self.return_type, *self.args)
628 self.cr = compile_result(

~\Anaconda3\lib\site-packages\numba\compiler.py in backend_nopython_mode(self)
611 self.return_type,
612 self.calltypes,
--> 613 self.flags)
614
615 def _backend(self, lowerfn, objectmode):

~\Anaconda3\lib\site-packages\numba\compiler.py in native_lowering_stage(targetctx, library, interp, typemap, restype, calltypes, flags)
988
989 lower = lowering.Lower(targetctx, library, fndesc, interp)
--> 990 lower.lower()
991 if not flags.no_cpython_wrapper:
992 lower.create_cpython_wrapper(flags.release_gil)

~\Anaconda3\lib\site-packages\numba\lowering.py in lower(self)
133 if self.generator_info is None:
134 self.genlower = None
--> 135 self.lower_normal_function(self.fndesc)
136 else:
137 self.genlower = self.GeneratorLower(self)

~\Anaconda3\lib\site-packages\numba\lowering.py in lower_normal_function(self, fndesc)
174 # Init argument values
175 self.extract_function_arguments()
--> 176 entry_block_tail = self.lower_function_body()
177
178 # Close tail of entry block

~\Anaconda3\lib\site-packages\numba\lowering.py in lower_function_body(self)
199 bb = self.blkmap[offset]
200 self.builder.position_at_end(bb)
--> 201 self.lower_block(block)
202
203 self.post_lower()

~\Anaconda3\lib\site-packages\numba\lowering.py in lower_block(self, block)
214 with new_error_context('lowering "{inst}" at {loc}', inst=inst,
215 loc=self.loc, errcls_=defaulterrcls):
--> 216 self.lower_inst(inst)
217
218 def create_cpython_wrapper(self, release_gil=False):

~\Anaconda3\lib\contextlib.py in exit(self, type, value, traceback)
97 value = type()
98 try:
---> 99 self.gen.throw(type, value, traceback)
100 except StopIteration as exc:
101 # Suppress StopIteration unless it's the same exception that

~\Anaconda3\lib\site-packages\numba\errors.py in new_error_context(fmt_, *args, **kwargs)
497 from numba import config
498 tb = sys.exc_info()[2] if config.FULL_TRACEBACKS else None
--> 499 six.reraise(type(newerr), newerr, tb)
500
501

~\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 at nopython (nopython mode backend)
Operands must be the same type, got (i64, i32)

File "....\python_stuff_my_module\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:\Users\devendra\python_stuff_my_module\pymssa\optimized.py (226))], kws=(), vararg=None)" at C:\Users\devendra\python_stuff_my_module\pymssa\optimized.py (226)

This should not have happened, a problem has occurred in Numba's internals.

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

If you need help writing a minimal reproducer please see:
http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports

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!

[henie5]

I 'm at the same position

[veager]

So do I. But how to deal with it?

[wieczorekmichal1]

Me too

[xialang2012]

so do I

[harveybc]

I have the same problem, using windows 10 and numba 0.45.1, any ideas on how to solve it?

[CoteDave]

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

Same error here ! Is there a a way to patch this ? Seem to come from the L_ parameter (Window size)

[RogerPallares]

I showed a solution that worked for me in another issue, hope it works for all of you as well.

#9 (comment)