LewsTherin511 edited a comment on issue #14875:
URL:
https://github.com/apache/incubator-mxnet/issues/14875#issuecomment-778132510
I'm encountering the same issue.
I fine-tuned an SSD model on a custom dataset (everything working properly),
and I'm trying to export it to ONNX in order to run it on Android.
This is what I'm doing I adapted PR #14942 to my case:
`
from os import path as osp
import numpy as np
import mxnet as mx
import gluoncv as gcv
from mxnet.contrib import onnx as onnx_mxnet
from mxnet import gluon
from gluoncv import model_zoo, data, utils
ctx = mx.cpu(0)
OUTPUT = 'oxnn/'
DATA = "./friends.png"
# SIZE = 320
MODEL = "CML_exported"
INPUT_SHAPE = ((1,3,512,683))
CML_classes = ["CML_mug"]
net = gcv.model_zoo.get_model('ssd_512_mobilenet1.0_custom',
classes=CML_classes, pretrained_base=False, ctx=ctx)
net.load_parameters("saved_weights/CML_mobilenet_mug_00/ep_035.params",
ctx=ctx)
net.hybridize()
# pass an img to trigger init after hybridize
x, _ = data.transforms.presets.yolo.load_test(DATA, short=512)
_ = net(x)
net.export(osp.join(OUTPUT, MODEL))
sym = osp.join(OUTPUT, MODEL + "-symbol.json")
params = osp.join(OUTPUT, MODEL + "-0000.params")
onnx_file = osp.join(OUTPUT, MODEL + ".onnx")
converted_model_path = onnx_mxnet.export_model(sym, params, [INPUT_SHAPE],
np.float32, onnx_file, verbose=True)`
I'm getting the usual:
`File
".../anaconda3/envs/gluon/lib/python3.7/site-packages/mxnet/contrib/onnx/mx2onnx/export_onnx.py",
line 92, in convert_layer
return convert_func(node, **kwargs)
File
"/home/lews/anaconda3/envs/gluon/lib/python3.7/site-packages/mxnet/contrib/onnx/mx2onnx/_op_translations.py",
line 1502, in convert_slice_axis
ends = int(attrs.get("end", None))
ValueError: invalid literal for int() with base 10: 'None'`
Any updates since last year? Was this somehow fixed?
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