Open Achhhe opened 6 years ago
Hi, it's probably a broadcasted multiplication. Sadly, I didn't add this type of elementwise operation.
This converter was done for specific networks in mind (Resnext architecture). Now MxNet supports ONNX format so you should use it for transition between frameworks.
if name == 'main': parser = argparse.ArgumentParser() parser.add_argument('--mx_prefix',default='/home/xxx/anaconda2/envs/mobilefacenet/insightface_root/insightface/models/model-y1-arcface', help='Prefix of pretrained mxnet model (with path)') parser.add_argument('--tf_prefix',default='/home/xxx/anaconda2/envs/mobilefacenet/mxnet2tf-master', help='Name of TensorFlow model to save to (will be saved as binary protobuf)') parser.add_argument('--input_size', help='Size of network input', type=int, default=112) args = parser.parse_args() main(args.mx_prefix, args.tf_prefix, args.input_size)
hi, I change the mx_prefix and tf_prefix, and run the code, but there is an error KeyError: u'_mulscalar0' i use tensorflow 1.10.1 and mxnet-cu80 1.3.0 could you please give me some advice?