Fix NaN in plotly plots (matplotlib conversion)

Add sdk.metrics.plot_max_num_digits to limit the number of digits in a plot (reduce plot sizes)

docs/trains.conf

@@ -36,6 +36,9 @@ sdk {
         # X images are stored in the upload destination for each matplotlib plot title.
         matplotlib_untitled_history_size: 100
 
+        # Limit the number of digits after the dot in plot reporting (reducing plot report size)
+        # plot_max_num_digits: 5
+
         # Settings for generated debug images
         images {
             format: JPEG

trains/backend_interface/metrics/reporter.py

@@ -1,4 +1,5 @@
 import json
+import math
 
 try:
     from collections.abc import Iterable
@@ -17,6 +18,7 @@ from ...utilities.plotly_reporter import create_2d_histogram_plot, create_value_
     create_image_plot, create_plotly_table
 from ...utilities.py3_interop import AbstractContextManager
 from .events import ScalarEvent, VectorEvent, ImageEvent, PlotEvent, ImageEventNoUpload, UploadEvent, MediaEvent
+from ...config import config
 
 
 class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncManagerMixin):
@@ -66,6 +68,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         self._storage_uri = value
 
     storage_uri = property(None, _set_storage_uri)
+    max_float_num_digits = config.get('metrics.plot_max_num_digits', None)
 
     @property
     def flush_threshold(self):
@@ -164,7 +167,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
                          iter=iter)
         self._report(ev)
 
-    def report_plot(self, title, series, plot, iter):
+    def report_plot(self, title, series, plot, iter, round_digits=None):
         """
         Report a Plotly chart
         :param title: Title (AKA metric)
@@ -174,8 +177,18 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         :param plot: A JSON describing a plotly chart (see https://help.plot.ly/json-chart-schema/)
         :type plot: str or dict
         :param iter: Iteration number
+        :param round_digits: number of digits after the dot to leave
         :type value: int
         """
+        def floatstr(o):
+            if o != o:
+                return 'nan'
+            elif o == math.inf:
+                return 'inf'
+            elif o == -math.inf:
+                return '-inf'
+            return round(o, ndigits=round_digits) if round_digits is not None else o
+
         # noinspection PyBroadException
         try:
             # Special json encoder for numpy types
@@ -183,18 +196,36 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
                 if isinstance(obj, (np.integer, np.int64)):
                     return int(obj)
                 elif isinstance(obj, np.floating):
-                    return float(obj)
+                    return float(round(obj, ndigits=round_digits) if round_digits is not None else obj)
                 elif isinstance(obj, np.ndarray):
-                    return obj.tolist()
+                    return obj.round(round_digits).tolist() if round_digits is not None else obj.tolist()
+
         except Exception:
             default = None
 
+        if round_digits is None:
+            round_digits = self.max_float_num_digits
+
+        if round_digits is False:
+            round_digits = None
+
         if isinstance(plot, dict):
+            if 'data' in plot:
+                for d in plot['data']:
+                    if not isinstance(d, dict):
+                        continue
+                    for k, v in d.items():
+                        if isinstance(v, list):
+                            d[k] = list(floatstr(s) if isinstance(s, float) else s for s in v)
+                        elif isinstance(v, tuple):
+                            d[k] = tuple(floatstr(s) if isinstance(s, float) else s for s in v)
+                        elif isinstance(v, float):
+                            d[k] = floatstr(v)
             plot = json.dumps(plot, default=default)
         elif not isinstance(plot, six.string_types):
             raise ValueError('Plot should be a string or a dict')
-        ev = PlotEvent(metric=self._normalize_name(title), variant=self._normalize_name(series), plot_str=plot,
-                       iter=iter)
+        ev = PlotEvent(metric=self._normalize_name(title), variant=self._normalize_name(series),
+                       plot_str=plot, iter=iter)
         self._report(ev)
 
     def report_image(self, title, series, src, iter):
@@ -367,6 +398,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             series=self._normalize_name(series),
             plot=table_output,
             iter=iteration,
+            round_digits=False,
         )
 
     def report_line_plot(self, title, series, iter, xtitle, ytitle, mode='lines', reverse_xaxis=False,

trains/config/default/sdk.conf

@@ -26,6 +26,9 @@
         # X images are stored in the upload destination for each matplotlib plot title.
         matplotlib_untitled_history_size: 100
 
+        # Limit the number of digits after the dot in plot reporting (reducing plot report size)
+        # plot_max_num_digits: 5
+
         # Settings for generated debug images
         images {
             format: JPEG