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# Licensed to the Apache Software Foundation (ASF) under one
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# 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.
# brief Example code on load and run TVM module.s
# file python_deploy.py
import tvm
from tvm import te
import numpy as np
def verify(mod, fname):
# Get the function from the module
f = mod.get_function(fname)
# Use tvm.nd.array to convert numpy ndarray to tvm
# NDArray type, so that function can be invoked normally
N = 10
x = tvm.nd.array(np.arange(N, dtype=np.float32))
y = tvm.nd.array(np.zeros(N, dtype=np.float32))
# Invoke the function
f(x, y)
np_x = x.asnumpy()
np_y = y.asnumpy()
# Verify correctness of function
assert np.all([xi + 1 == yi for xi, yi in zip(np_x, np_y)])
print("Finish verification...")
if __name__ == "__main__":
# The normal dynamic loading method for deployment
mod_dylib = tvm.runtime.load_module("lib/test_addone_dll.so")
print("Verify dynamic loading from test_addone_dll.so")
verify(mod_dylib, "addone")
# There might be methods to use the system lib way in
# python, but dynamic loading is good enough for now.