Traceback (most recent call last):



 "<ipython-input-2-70a05a6f9469>", line 1, in <module>

mesh = meshio.read("HM25_MA.fem")



 "C:\Users\emile\anaconda3\lib\site-packages\meshio\_helpers.py", line 68, in read

return reader_map[file_format](filename)



 "C:\Users\emile\anaconda3\lib\site-packages\meshio\nastran\_nastran.py", line 51, in read

out = read_buffer(f)



 "C:\Users\emile\anaconda3\lib\site-packages\meshio\nastran\_nastran.py", line 168, in read_buffer

add_cell(cell, cell_type, cell_ref, keyword_prev)



 "C:\Users\emile\anaconda3\lib\site-packages\meshio\nastran\_nastran.py", line 77, in add_cell

cell = list(map(int, cell))

ValueError: invalid literal for int() with base 10: '82692.31'

`Traceback (most recent call last):


 "make_nsfw_model.py", line 273, in <module>

run_main()


 "make_nsfw_model.py", line 269, in run_main

app.run(main)


 "/Users/bill/lab/py/nsfw_model/venv/lib/python3.7/site-packages/absl/app.py", line 300, in run

_run_main(main, args)


 "/Users/bill/lab/py/nsfw_model/venv/lib/python3.7/site-packages/absl/app.py", line 251, in _run_main

sys.exit(main(argv))


 "make_nsfw_model.py", line 197, in main

FLAGS.tfhub_module, image_dir, hparams, FLAGS.image_size, FLAGS.saved_model_dir)


 "/Users/bill/lab/py/nsfw_model/training/make_nsfw_model_lib.py", line 427, in make_image_classifier

model.load_weights(existingWeightsPath)


 "/Users/bill/lab/py/nsfw_model/venv/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py", line 234, in load_weights

return super(Model, self).load_weights(filepath, by_name, skip_mismatch)


 "/Users/bill/lab/py/nsfw_model/venv/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/network.py", line 1222, in load_weights

hdf5_format.load_weights_from_hdf5_group(f, self.layers)


 "/Users/bill/lab/py/nsfw_model/venv/lib/python3.7/site-packages/tensorflow_core/python/keras/saving/hdf5_format.py", line 701, in load_weights_from_hdf5_group

str(len(weight_values)) + ' elements.')
ValueError: Layer #0 (named "keras_layer" in the current model) was found to correspond to layer keras_layer in the save file. However the new layer keras_layer expects 262 weights, but the saved weights have 260 elements.`
