blob: 204784f031f14274cfe1c738551191a9629cf967 [file]
# 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.
# ruff: noqa: F401, F841
"""Test cross compilation"""
import os
import struct
import numpy as np
import tvm
import tvm.testing
from tvm import rpc
from tvm.script import ir as I
from tvm.script import tirx as T
from tvm.support import cc, utils
@I.ir_module(s_tir=True)
class AddModule:
@T.prim_func(s_tir=True)
def main(
A: T.Buffer((1024,), "float32"),
B: T.Buffer((1024,), "float32"),
C: T.Buffer((1024,), "float32"),
):
T.func_attr({"tirx.noalias": True})
for i0_0 in T.parallel(256):
for i0_1 in T.vectorized(4):
with T.sblock("C"):
v_i0 = T.axis.spatial(1024, i0_0 * 4 + i0_1)
T.reads(A[v_i0], B[v_i0])
T.writes(C[v_i0])
C[v_i0] = A[v_i0] + B[v_i0]
@tvm.testing.requires_llvm
def test_llvm_add_pipeline():
nn = 1024
def verify_elf(path, e_machine):
with open(path, "rb") as fi:
arr = fi.read(20)
assert struct.unpack("ccc", arr[1:4]) == (b"E", b"L", b"F")
endian = struct.unpack("b", arr[0x5:0x6])[0]
endian = "<" if endian == 1 else ">"
assert struct.unpack(endian + "h", arr[0x12:0x14])[0] == e_machine
def build_arm():
target = {"kind": "llvm", "mtriple": "armv7-none-linux-gnueabihf"}
if not tvm.runtime.enabled("llvm"):
print(f"Skip because {target} is not enabled..")
return
temp = utils.tempdir()
f = tvm.tirx.build(AddModule, target=target)
path = temp.relpath("myadd.o")
f.write_to_file(path)
verify_elf(path, 0x28)
asm_path = temp.relpath("myadd.asm")
f.write_to_file(asm_path)
# Do a RPC verification, launch kernel on Arm Board if available.
host = os.environ.get("TVM_RPC_ARM_HOST", None)
remote = None
if host:
port = int(os.environ["TVM_RPC_ARM_PORT"])
try:
remote = rpc.connect(host, port)
except RuntimeError as e:
pass
if remote:
remote.upload(path)
farm = remote.load_module("myadd.o")
dev = remote.cpu(0)
n = nn
a = tvm.runtime.tensor(np.random.uniform(size=n).astype("float32"), dev)
b = tvm.runtime.tensor(np.random.uniform(size=n).astype("float32"), dev)
c = tvm.runtime.tensor(np.zeros(n, dtype="float32"), dev)
farm(a, b, c)
tvm.testing.assert_allclose(c.numpy(), a.numpy() + b.numpy())
print("Verification finish on remote..")
build_arm()
if __name__ == "__main__":
test_llvm_add_pipeline()