deploy.py 1.79 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
# 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.
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56
"""
Get Started with TVM Go
=======================
"""
from __future__ import absolute_import, print_function

import tvm
import numpy as np

# Global declarations of environment.

tgt_host="llvm"
tgt="llvm"

######################################################################
# Describe the Computation
# ------------------------
n = tvm.var("n")
A = tvm.placeholder((n,), name='A')
B = tvm.placeholder((n,), name='B')
C = tvm.compute(A.shape, lambda i: A[i] + B[i], name="C")

######################################################################
# Schedule the Computation
# ------------------------
s = tvm.create_schedule(C.op)

######################################################################
# Compilation
# -----------
fadd = tvm.build(s, [A, B, C], tgt, target_host=tgt_host, name="myadd")

######################################################################
# Save Compiled Module
# --------------------
from tvm.contrib import cc
from tvm.contrib import util

fadd.save("deploy.o")
cc.create_shared("deploy.so", ["deploy.o"])