| #!/usr/bin/env python3 |
| # 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. |
| |
| import numpy as np |
| import tvm |
| from PIL import Image |
| from tvm.contrib import graph_executor |
| |
| lib_path = "./outlib/graph.o.so" |
| param_path = "./outlib/graph.params" |
| json_path = "./outlib/graph.json" |
| img_path = "./data/img_10.jpg" |
| |
| loaded_lib = tvm.runtime.load_module(lib_path) |
| print(loaded_lib) |
| |
| dev = tvm.runtime.cpu() |
| with open(json_path) as jsonfile, open(param_path, "rb") as paramfile: |
| module = graph_executor.create(jsonfile.read(), loaded_lib, dev) |
| |
| loaded_param = bytearray(paramfile.read()) |
| module.load_params(loaded_param) |
| |
| # Resize it to 28X28 |
| resized_image = Image.open(img_path).resize((28, 28)) |
| img_data = np.asarray(resized_image).astype("float32") / 255 |
| img_data = np.reshape(img_data, (1, 1, 28, 28)) |
| |
| print(loaded_lib) |
| |
| module.set_input("Input3", img_data) |
| module.run() |
| |
| output_shape = (1, 10) |
| tvm_output = module.get_output(0, tvm.nd.empty(output_shape)).numpy() |
| |
| print(tvm_output) |
