convert_data_pb.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 27 11:50:03 2019

@author: Macrobull
"""

import os, sys
import numpy as np
import onnx
import onnx.numpy_helper as numpy_helper

from collections import OrderedDict as Dict
from glob import glob


def make_var_name(name):
    """
    make a valid variable name in Python code
    """

    if name == '':
        return '_'
    if name[0].isdigit():
        return 'var_' + name
    for s in ' \\|/:-':  #
        name = name.replace(s, '_')
    if name.startswith('_'):
        name = 'var' + name
    return name


data_dir = os.path.dirname(sys.argv[1])
input_names = sys.argv[2].split(',')
output_names = sys.argv[3].split(',')
squeeze_data = len(sys.argv) > 4

# Load inputs
inputs = []
for fn in glob(os.path.join(data_dir, 'input_*.pb')):
    tensor = onnx.TensorProto()
    with open(fn, 'rb') as f:
        tensor.ParseFromString(f.read())
    tensor = numpy_helper.to_array(tensor)
    while squeeze_data and tensor.ndim > 4 and tensor.shape[0] == 1:
        tensor = tensor.squeeze(0)
    inputs.append(tensor)

# Load outputs
outputs = []
for fn in glob(os.path.join(data_dir, 'output_*.pb')):
    tensor = onnx.TensorProto()
    with open(fn, 'rb') as f:
        tensor.ParseFromString(f.read())
    tensor = numpy_helper.to_array(tensor)
    while squeeze_data and tensor.ndim > 2 and tensor.shape[0] == 1:
        tensor = tensor.squeeze(0)
    outputs.append(tensor)

inputs = Dict(zip(map(make_var_name, input_names), inputs))
outputs = Dict(zip(map(make_var_name, output_names), outputs))

np.savez(data_dir, inputs=inputs, outputs=outputs)