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https://github.com/clearml/clearml
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Add report_matplotlib_figure(..., report_interactive=False) allowing to upload a matplotlib as a non-interactive (high quality png) plot
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@ -264,7 +264,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
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series=series,
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figure=figure,
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iter=iter,
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force_save_as_image=force_save_as_image,
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force_save_as_image=force_save_as_image if not isinstance(force_save_as_image, str) else False,
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report_as_debug_sample=force_save_as_image if isinstance(force_save_as_image, str) else False,
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reporter=self,
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logger=logger,
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)
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@ -27,7 +27,7 @@ class PatchedMatplotlib:
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_global_image_counter_limit = None
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_last_iteration_plot_titles = {}
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_current_task = None
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_support_image_plot = False
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_support_image_plot = None
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_matplotlylib = None
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_plotly_renderer = None
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_lock_renderer = threading.RLock()
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@ -124,13 +124,19 @@ class PatchedMatplotlib:
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pass
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# update api version
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from ..backend_api import Session
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PatchedMatplotlib._support_image_plot = Session.check_min_api_version('2.2')
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PatchedMatplotlib._update_matplotlib_image_support()
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# load plotly
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PatchedMatplotlib._update_plotly_renderers()
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return True
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@staticmethod
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def _update_matplotlib_image_support():
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if PatchedMatplotlib._support_image_plot is None:
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from ..backend_api import Session
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PatchedMatplotlib._support_image_plot = Session.check_min_api_version('2.2')
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@staticmethod
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def _update_matplotlib_version():
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if PatchedMatplotlib._matplot_major_version:
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@ -152,6 +158,9 @@ class PatchedMatplotlib:
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except Exception:
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pass
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# check backend support
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PatchedMatplotlib._update_matplotlib_image_support()
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@staticmethod
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def _update_plotly_renderers():
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if PatchedMatplotlib._matplotlylib and PatchedMatplotlib._plotly_renderer:
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@ -280,9 +289,11 @@ class PatchedMatplotlib:
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return ret
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@staticmethod
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def report_figure(title, series, figure, iter, force_save_as_image=False, reporter=None, logger=None):
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def report_figure(title, series, figure, iter,
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force_save_as_image=False, report_as_debug_sample=False, reporter=None, logger=None):
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PatchedMatplotlib._report_figure(
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force_save_as_image=force_save_as_image,
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report_as_debug_sample=report_as_debug_sample,
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specific_fig=figure.gcf() if hasattr(figure, 'gcf') else figure,
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title=title,
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series=series,
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@ -294,6 +305,7 @@ class PatchedMatplotlib:
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@staticmethod
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def _report_figure(
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force_save_as_image=False,
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report_as_debug_sample=False,
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stored_figure=None,
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set_active=True,
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specific_fig=None,
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@ -336,7 +348,7 @@ class PatchedMatplotlib:
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if getattr(stored_figure, '_trains_is_imshow', None) is not None:
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# flag will be cleared when calling clf() (object will be replaced)
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stored_figure._trains_is_imshow = max(0, stored_figure._trains_is_imshow - 1)
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force_save_as_image = True
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report_as_debug_sample = True
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# get current figure
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mpl_fig = stored_figure.canvas.figure # plt.gcf()
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else:
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@ -354,9 +366,11 @@ class PatchedMatplotlib:
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plotly_dict = None
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image_format = 'jpeg'
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fig_dpi = 300
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if force_save_as_image:
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if force_save_as_image or report_as_debug_sample:
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# if this is an image, store as is.
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fig_dpi = None
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fig_dpi = None if report_as_debug_sample else 300
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force_save_as_image = force_save_as_image \
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if force_save_as_image and isinstance(force_save_as_image, str) else 'png'
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if isinstance(force_save_as_image, str):
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image_format = force_save_as_image
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else:
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@ -487,8 +501,8 @@ class PatchedMatplotlib:
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last_iteration = iter if iter is not None else PatchedMatplotlib._get_last_iteration()
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report_as_debug_sample = not plotly_dict and (
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force_save_as_image or not PatchedMatplotlib._support_image_plot)
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report_as_debug_sample = report_as_debug_sample or (
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not plotly_dict and not PatchedMatplotlib._support_image_plot)
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if not title:
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if mpl_fig.texts:
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@ -987,6 +987,7 @@ class Logger(object):
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figure, # type: Union[MatplotlibFigure, pyplot]
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iteration=None, # type: Optional[int]
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report_image=False, # type: bool
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report_interactive=True, # type: bool
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):
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"""
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Report a ``matplotlib`` figure / plot directly
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@ -999,6 +1000,9 @@ class Logger(object):
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:param MatplotlibFigure figure: A ``matplotlib`` Figure object
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:param report_image: Default False. If True the plot will be uploaded as a debug sample (png image),
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and will appear under the debug samples tab (instead of the Plots tab).
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:param report_interactive: If True (default) it will try to convert the matplotlib into interactive
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plot in the UI. If False the matplotlib is saved as is and will
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be non-interactive (with the exception of zooming in/out)
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"""
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# if task was not started, we have to start it
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self._start_task_if_needed()
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@ -1010,7 +1014,7 @@ class Logger(object):
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figure=figure,
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iter=iteration or 0,
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logger=self,
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force_save_as_image='png' if report_image else False,
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force_save_as_image=False if report_interactive else ('png' if report_image else True),
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)
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def set_default_upload_destination(self, uri):
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