• Model-Pivot
• • Requirments
  • How to deploy visualization on Web
  • Model
  • Test for Tensorflow and PyTorch

Model-Pivot

Model-Pivot is a model conversion and visualization tool to help users inter-operate among different deep learning frameworks. Convert models between PyTorch and Tensorflow.
IR is based on the National Information Technology Standardization ```Neural Network Representation and Model Compression Part 1: Convolution Neural Network``.

Requirments

• tensorflow==1.8.0
• pytorch==0.4.0
• torchvision==0.2.0
• protobuf>=3.6.1
• python>=3.6
• flask

How to deploy visualization on Web

If you want to access the deployed web page from an external network, you should first modify the host and port for the ./visualization/app.py file.

You can deploy it on Web by running:

python app.py

Model

Framework	ResNet50	Inception V3	ShuffleNet	FCN	LSTM
TensorFlow	√	√	√	√	√
PyTorch	√	√	√	√	√

Test for Tensorflow and PyTorch

CUDA_VSIBLE_DEVICES=0 python test.py