Traceback (most recent call last):


 "/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/engine/train_loop.py", line 134, in train

self.run_step()


 "/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/engine/defaults.py", line 429, in run_step

self._trainer.run_step()


 "/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/engine/train_loop.py", line 228, in run_step

loss_dict = self.model(data)


 "/apps/eb/PyTorch/1.6.0-fosscuda-2019b-Python-3.7.4/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl

result = self.forward(*input, **kwargs)


 "/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 160, in forward

proposals, proposal_losses = self.proposal_generator(images, features, gt_instances)


 "/apps/eb/PyTorch/1.6.0-fosscuda-2019b-Python-3.7.4/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl

result = self.forward(*input, **kwargs)


 "/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 449, in forward

anchors, pred_objectness_logits, pred_anchor_deltas, images.image_sizes


 "/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/modeling/proposal_generator/rpn.py", line 482, in predict_proposals

self.training,


 "/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/modeling/proposal_generator/proposal_utils.py", line 116, in find_top_rpn_proposals

keep = batched_nms(boxes.tensor, scores_per_img, lvl, nms_thresh)


 "/apps/eb/Detectron2/0.3-fosscuda-2019b-Python-3.7.4-PyTorch-1.6.0/lib/python3.7/site-packages/detectron2/layers/nms.py", line 21, in batched_nms

return box_ops.batched_nms(boxes.float(), scores, idxs, iou_threshold)


 "/apps/eb/PyTorch/1.6.0-fosscuda-2019b-Python-3.7.4/lib/python3.7/site-packages/torch/jit/__init__.py", line 1600, in wrapper

return compiled_fn(*args, **kwargs)
RuntimeError: The following operation failed in the TorchScript interpreter.

Traceback (most recent call last):


 "lib/matplotlib/sphinxext/plot_directive.py", line 612, in render_figures

figman.canvas.figure.savefig(img.filename(fmt), dpi=dpi)


 "lib/matplotlib/figure.py", line 2203, in savefig

self.canvas.print_figure(fname, **kwargs)


 "lib/matplotlib/backend_bases.py", line 2105, in print_figure

**kwargs)


 "lib/matplotlib/backends/backend_pdf.py", line 2548, in print_pdf

self.figure.draw(renderer)


 "lib/matplotlib/artist.py", line 38, in draw_wrapper

return draw(artist, renderer, *args, **kwargs)


 "lib/matplotlib/figure.py", line 1736, in draw

renderer, self, artists, self.suppressComposite)


 "lib/matplotlib/image.py", line 137, in _draw_list_compositing_images

a.draw(renderer)


 "lib/matplotlib/artist.py", line 38, in draw_wrapper

return draw(artist, renderer, *args, **kwargs)


 "lib/matplotlib/axes/_base.py", line 2630, in draw

mimage._draw_list_compositing_images(renderer, self, artists)


 "lib/matplotlib/image.py", line 137, in _draw_list_compositing_images

a.draw(renderer)


 "lib/matplotlib/artist.py", line 38, in draw_wrapper

return draw(artist, renderer, *args, **kwargs)


 "lib/matplotlib/axis.py", line 1229, in draw

renderer)


 "lib/matplotlib/axis.py", line 1174, in _get_tick_bboxes

for tick in ticks if tick.label1.get_visible()],


 "lib/matplotlib/axis.py", line 1174, in <listcomp>

for tick in ticks if tick.label1.get_visible()],


 "lib/matplotlib/text.py", line 905, in get_window_extent

bbox, info, descent = self._get_layout(self._renderer)


 "lib/matplotlib/text.py", line 293, in _get_layout

ismath="TeX" if self.get_usetex() else False)


 "lib/matplotlib/backends/_backend_pdf_ps.py", line 62, in get_text_width_height_descent

font.set_text(s, 0.0, flags=ft2font.LOAD_NO_HINTING)
RuntimeError: In set_text: Could not load glyph (error code 0x14)
