blob: a0553cfe0211e7abaddc7c9178d32cfe5e123a22 [file] [log] [blame]
# 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.
"""
Get Started with TVM Go
=======================
"""
from __future__ import absolute_import, print_function
import tvm
from tvm import te
import numpy as np
# Global declarations of environment.
tgt_host = "llvm"
tgt = "llvm"
######################################################################
# Describe the Computation
# ------------------------
n = te.var("n")
A = te.placeholder((n,), name="A")
B = te.placeholder((n,), name="B")
C = te.compute(A.shape, lambda i: A[i] + B[i], name="C")
######################################################################
# Schedule the Computation
# ------------------------
s = te.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"])