ERROR in mssa.fit(df_tr)

ashi24lion commented 5 years ago

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_errorcontext(fmt, *args, **kwargs) 490 try: --> 491 yield 492 except NumbaError as e:

~\Anaconda3\lib\site-packages\numba\lowering.py in lowerblock(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!