Training_and_Evaluation_Overview error

[akiva-skolnik]

Training_and_Evaluation_Overview error:

Successfully loaded training round 1 for worker 0: Iterations: 1, Training episodes: 19, Evaluation episodes: 0
Successfully loaded training round 1 for worker 1: Iterations: 1, Training episodes: 19, Evaluation episodes: 0
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
File /usr/local/lib/python3.8/dist-packages/matplotlib/axis.py:1770, in Axis.convert_units(self, x)
   1769 try:
-> 1770     ret = self.converter.convert(x, self.units, self)
   1771 except Exception as e:

File /usr/local/lib/python3.8/dist-packages/matplotlib/category.py:57, in StrCategoryConverter.convert(value, unit, axis)
     56 # force an update so it also does type checking
---> 57 unit.update(values)
     58 return np.vectorize(unit._mapping.__getitem__, otypes=[float])(values)

File /usr/local/lib/python3.8/dist-packages/matplotlib/category.py:216, in UnitData.update(self, data)
    214 for val in OrderedDict.fromkeys(data):
    215     # OrderedDict just iterates over unique values in data.
--> 216     _api.check_isinstance((str, bytes), value=val)
    217     if convertible:
    218         # this will only be called so long as convertible is True.

File /usr/local/lib/python3.8/dist-packages/matplotlib/_api/__init__.py:93, in check_isinstance(_types, **kwargs)
     92     names.append("None")
---> 93 raise TypeError(
     94     "{!r} must be an instance of {}, not a {}".format(
     95         k,
     96         ", ".join(names[:-1]) + " or " + names[-1]
     97         if len(names) > 1 else names[0],
     98         type_name(type(v))))

TypeError: 'value' must be an instance of str or bytes, not a float

The above exception was the direct cause of the following exception:

ConversionError                           Traceback (most recent call last)
File /usr/local/lib/python3.8/dist-packages/IPython/core/formatters.py:340, in BaseFormatter.__call__(self, obj)
    338     pass
    339 else:
--> 340     return printer(obj)
    341 # Finally look for special method names
    342 method = get_real_method(obj, self.print_method)

File /usr/local/lib/python3.8/dist-packages/IPython/core/pylabtools.py:152, in print_figure(fig, fmt, bbox_inches, base64, **kwargs)
    149     from matplotlib.backend_bases import FigureCanvasBase
    150     FigureCanvasBase(fig)
--> 152 fig.canvas.print_figure(bytes_io, **kw)
    153 data = bytes_io.getvalue()
    154 if fmt == 'svg':

File /usr/local/lib/python3.8/dist-packages/matplotlib/backend_bases.py:2342, in FigureCanvasBase.print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)
   2336     renderer = _get_renderer(
   2337         self.figure,
   2338         functools.partial(
   2339             print_method, orientation=orientation)
   2340     )
   2341     with getattr(renderer, "_draw_disabled", nullcontext)():
-> 2342         self.figure.draw(renderer)
   2344 if bbox_inches:
   2345     if bbox_inches == "tight":

File /usr/local/lib/python3.8/dist-packages/matplotlib/artist.py:95, in _finalize_rasterization.<locals>.draw_wrapper(artist, renderer, *args, **kwargs)
     93 @wraps(draw)
     94 def draw_wrapper(artist, renderer, *args, **kwargs):
---> 95     result = draw(artist, renderer, *args, **kwargs)
     96     if renderer._rasterizing:
     97         renderer.stop_rasterizing()

File /usr/local/lib/python3.8/dist-packages/matplotlib/artist.py:72, in allow_rasterization.<locals>.draw_wrapper(artist, renderer)
     69     if artist.get_agg_filter() is not None:
     70         renderer.start_filter()
---> 72     return draw(artist, renderer)
     73 finally:
     74     if artist.get_agg_filter() is not None:

File /usr/local/lib/python3.8/dist-packages/matplotlib/figure.py:3175, in Figure.draw(self, renderer)
   3172         # ValueError can occur when resizing a window.
   3174 self.patch.draw(renderer)
-> 3175 mimage._draw_list_compositing_images(
   3176     renderer, self, artists, self.suppressComposite)
   3178 for sfig in self.subfigs:
   3179     sfig.draw(renderer)

File /usr/local/lib/python3.8/dist-packages/matplotlib/image.py:131, in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    129 if not_composite or not has_images:
    130     for a in artists:
--> 131         a.draw(renderer)
    132 else:
    133     # Composite any adjacent images together
    134     image_group = []

File /usr/local/lib/python3.8/dist-packages/matplotlib/artist.py:72, in allow_rasterization.<locals>.draw_wrapper(artist, renderer)
     69     if artist.get_agg_filter() is not None:
     70         renderer.start_filter()
---> 72     return draw(artist, renderer)
     73 finally:
     74     if artist.get_agg_filter() is not None:

File /usr/local/lib/python3.8/dist-packages/matplotlib/axes/_base.py:3064, in _AxesBase.draw(self, renderer)
   3061 if artists_rasterized:
   3062     _draw_rasterized(self.figure, artists_rasterized, renderer)
-> 3064 mimage._draw_list_compositing_images(
   3065     renderer, self, artists, self.figure.suppressComposite)
   3067 renderer.close_group('axes')
   3068 self.stale = False

File /usr/local/lib/python3.8/dist-packages/matplotlib/image.py:131, in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    129 if not_composite or not has_images:
    130     for a in artists:
--> 131         a.draw(renderer)
    132 else:
    133     # Composite any adjacent images together
    134     image_group = []

File /usr/local/lib/python3.8/dist-packages/matplotlib/artist.py:72, in allow_rasterization.<locals>.draw_wrapper(artist, renderer)
     69     if artist.get_agg_filter() is not None:
     70         renderer.start_filter()
---> 72     return draw(artist, renderer)
     73 finally:
     74     if artist.get_agg_filter() is not None:

File /usr/local/lib/python3.8/dist-packages/matplotlib/collections.py:972, in _CollectionWithSizes.draw(self, renderer)
    969 @artist.allow_rasterization
    970 def draw(self, renderer):
    971     self.set_sizes(self._sizes, self.figure.dpi)
--> 972     super().draw(renderer)

File /usr/local/lib/python3.8/dist-packages/matplotlib/artist.py:72, in allow_rasterization.<locals>.draw_wrapper(artist, renderer)
     69     if artist.get_agg_filter() is not None:
     70         renderer.start_filter()
---> 72     return draw(artist, renderer)
     73 finally:
     74     if artist.get_agg_filter() is not None:

File /usr/local/lib/python3.8/dist-packages/matplotlib/collections.py:351, in Collection.draw(self, renderer)
    347 renderer.open_group(self.__class__.__name__, self.get_gid())
    349 self.update_scalarmappable()
--> 351 transform, offset_trf, offsets, paths = self._prepare_points()
    353 gc = renderer.new_gc()
    354 self._set_gc_clip(gc)

File /usr/local/lib/python3.8/dist-packages/matplotlib/collections.py:323, in Collection._prepare_points(self)
    321     ys = self.convert_yunits(ys)
    322     paths.append(mpath.Path(np.column_stack([xs, ys]), path.codes))
--> 323 xs = self.convert_xunits(offsets[:, 0])
    324 ys = self.convert_yunits(offsets[:, 1])
    325 offsets = np.ma.column_stack([xs, ys])

File /usr/local/lib/python3.8/dist-packages/matplotlib/artist.py:281, in Artist.convert_xunits(self, x)
    279 if ax is None or ax.xaxis is None:
    280     return x
--> 281 return ax.xaxis.convert_units(x)

File /usr/local/lib/python3.8/dist-packages/matplotlib/axis.py:1772, in Axis.convert_units(self, x)
   1770     ret = self.converter.convert(x, self.units, self)
   1771 except Exception as e:
-> 1772     raise munits.ConversionError('Failed to convert value(s) to axis '
   1773                                  f'units: {x!r}') from e
   1774 return ret

ConversionError: Failed to convert value(s) to axis units: masked_array(data=[--],
             mask=[ True],
       fill_value=1e+20,
            dtype=float64)

[MarkRoss-Eviden]

I don't have this error myself, are you running the latest version of the code from main and can you provide screenshots?

[MarkRoss-Eviden]

No response, assumed fixed, can reopen if not.

[akiva-skolnik]

sorry for the late response.
I am using the latest version

[akiva-skolnik]

BTW @MarkRoss-Eviden I cannot re-open.