Roshrini commented on a change in pull request #11213: [MXNET-533] MXNet-ONNX export URL: https://github.com/apache/incubator-mxnet/pull/11213#discussion_r195810088
########## File path: python/mxnet/contrib/onnx/_export/export_model.py ########## @@ -0,0 +1,89 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +# coding: utf-8 +#pylint: disable-msg=too-many-arguments + +"""export function""" +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function +from __future__ import unicode_literals +import logging +import numpy as np + +from ....base import string_types +from .export_onnx import MXNetGraph +from .export_helper import load_module + + +def export_model(model, weights, input_shape, input_type=np.float32, + onnx_file_path='model.onnx', log=False): + """Exports the MXNet model file, passed as a parameter, into ONNX model. + Accepts both symbol,parameter objects as well as json and params filepaths as input. + Operator support and coverage - https://cwiki.apache.org/confluence/display/MXNET/ONNX + + Parameters + ---------- + model : str or symbol object + Path to the json file or Symbol object + weights : str or symbol object + Path to the params file or Params object. (Including both arg_params and aux_params) + input_shape : List of tuple + Input shape of the model e.g (1,3,224,224) + input_type : + Input data type e.g. np.float32 + onnx_file_path : str + Path where to save the generated onnx file + log : Boolean + If true will print logs of the model conversion + + Returns + ------- + onnx_file_path : str + Onnx file path + """ + + try: + from onnx import helper, mapping + except ImportError: + raise ImportError("Onnx and protobuf need to be installed. " + + "Instructions to install - https://github.com/onnx/onnx";) + + converter = MXNetGraph() + + data_format = np.dtype(input_type) + if isinstance(model, string_types) and isinstance(weights, string_types): + logging.info("Converting json and params file to sym and weights") + sym, params = load_module(model, weights, input_shape) + onnx_graph = converter.create_onnx_graph_proto(sym, params, input_shape, + mapping.NP_TYPE_TO_TENSOR_TYPE[data_format], + log=log) + else: Review comment: https://github.com/apache/incubator-mxnet/issues/11305 ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
