Traceback (most recent call last):


 "test.py", line 114, in <module>

main()


 "test.py", line 63, in main

pytorchparser = PytorchParser(args.model_path, [3, 32, 32])


 "/data/liufang/2019_project/MMdnn/mmdnn/conversion/pytorch/pytorch_parser.py", line 88, in __init__

self.pytorch_graph.build(self.input_shape)


 "/data/liufang/2019_project/MMdnn/mmdnn/conversion/pytorch/pytorch_graph.py", line 132, in build

trace, output = torch.jit.get_trace_graph(self.model, (dummy_input, ))


 "/data/liufang/venv_dir/mmdnn_venv/lib/python3.5/site-packages/torch/jit/__init__.py", line 197, in get_trace_graph

return LegacyTracedModule(f, _force_outplace)(*args, **kwargs)


 "/data/liufang/venv_dir/mmdnn_venv/lib/python3.5/site-packages/torch/nn/modules/module.py", line 489, in __call__

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


 "/data/liufang/venv_dir/mmdnn_venv/lib/python3.5/site-packages/torch/jit/__init__.py", line 252, in forward

out = self.inner(*trace_inputs)


 "/data/liufang/venv_dir/mmdnn_venv/lib/python3.5/site-packages/torch/nn/modules/module.py", line 487, in __call__

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


 "/data/liufang/venv_dir/mmdnn_venv/lib/python3.5/site-packages/torch/nn/modules/module.py", line 477, in _slow_forward

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


 "/data/liufang/2019_project/darts-master/cnn/model.py", line 153, in forward

s0, s1 = s1, cell(s0, s1, self.drop_path_prob)


 "/data/liufang/venv_dir/mmdnn_venv/lib/python3.5/site-packages/torch/nn/modules/module.py", line 487, in __call__

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


 "/data/liufang/venv_dir/mmdnn_venv/lib/python3.5/site-packages/torch/nn/modules/module.py", line 464, in _slow_forward

input_vars = tuple(torch.autograd.function._iter_tensors(input))


 "/data/liufang/venv_dir/mmdnn_venv/lib/python3.5/site-packages/torch/autograd/function.py", line 284, in _iter

for var in _iter(o):


 "/data/liufang/venv_dir/mmdnn_venv/lib/python3.5/site-packages/torch/autograd/function.py", line 293, in _iter

if condition_msg else ""))
ValueError: Auto nesting doesn't know how to process an input object of type float. Accepted types: Tensors, or lists/tuples of them

Traceback (most recent call last):


 "mpl_plot.py", line 19, in <module>

show(mpl.to_bokeh())


 "/Users/tc9/lib/python3.6/site-packages/bokeh/core/compat/mpl.py", line 57, in to_bokeh

exporter.run(fig)


 "/Users/tc9/lib/python3.6/site-packages/bokeh/core/compat/mplexporter/exporter.py", line 51, in run

self.crawl_fig(fig)


 "/Users/tc9/lib/python3.6/site-packages/bokeh/core/compat/mplexporter/exporter.py", line 118, in crawl_fig

self.crawl_ax(ax)


 "/Users/tc9/lib/python3.6/site-packages/bokeh/core/compat/mplexporter/exporter.py", line 125, in crawl_ax

self.draw_line(ax, line)


 "/Users/tc9/lib/python3.6/site-packages/bokeh/core/compat/mplexporter/exporter.py", line 198, in draw_line

mplobj=line)


 "/Users/tc9/lib/python3.6/site-packages/bokeh/core/compat/mplexporter/renderers/base.py", line 155, in draw_marked_line

self.draw_line(data, coordinates, linestyle, label, mplobj)


 "/Users/tc9/lib/python3.6/site-packages/bokeh/core/compat/bokeh_renderer.py", line 201, in draw_line

line.line_dash = [] if style['dasharray'] is "none" else [int(i) for i in style['dasharray'].split(",")]
# str2list(int)


 "/Users/tc9/lib/python3.6/site-packages/bokeh/core/compat/bokeh_renderer.py", line 201, in <listcomp>

line.line_dash = [] if style['dasharray'] is "none" else [int(i) for i in style['dasharray'].split(",")]
# str2list(int)
ValueError: invalid literal for int() with base 10: '9.6'
