chore: import upstream snapshot with attribution
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# ruff: noqa: F401, F841
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"""Test cross compilation"""
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import os
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import struct
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import numpy as np
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import pytest
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import tvm
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import tvm.testing
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from tvm import rpc
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from tvm.script import ir as I
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from tvm.script import tirx as T
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from tvm.support import cc, utils
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from tvm.testing import env
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@I.ir_module(s_tir=True)
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class AddModule:
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@T.prim_func(s_tir=True)
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def main(
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A: T.Buffer((1024,), "float32"),
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B: T.Buffer((1024,), "float32"),
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C: T.Buffer((1024,), "float32"),
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):
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T.func_attr({"tirx.noalias": True})
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for i0_0 in T.parallel(256):
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for i0_1 in T.vectorized(4):
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with T.sblock("C"):
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v_i0 = T.axis.spatial(1024, i0_0 * 4 + i0_1)
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T.reads(A[v_i0], B[v_i0])
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T.writes(C[v_i0])
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C[v_i0] = A[v_i0] + B[v_i0]
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@pytest.mark.skipif(not env.has_llvm(), reason="need llvm")
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def test_llvm_add_pipeline():
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nn = 1024
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def verify_elf(path, e_machine):
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with open(path, "rb") as fi:
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arr = fi.read(20)
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assert struct.unpack("ccc", arr[1:4]) == (b"E", b"L", b"F")
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endian = struct.unpack("b", arr[0x5:0x6])[0]
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endian = "<" if endian == 1 else ">"
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assert struct.unpack(endian + "h", arr[0x12:0x14])[0] == e_machine
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def build_arm():
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target = {"kind": "llvm", "mtriple": "armv7-none-linux-gnueabihf"}
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if not tvm.runtime.enabled("llvm"):
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print(f"Skip because {target} is not enabled..")
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return
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temp = utils.tempdir()
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f = tvm.tirx.build(AddModule, target=target)
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path = temp.relpath("myadd.o")
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f.write_to_file(path)
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verify_elf(path, 0x28)
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asm_path = temp.relpath("myadd.asm")
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f.write_to_file(asm_path)
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# Do a RPC verification, launch kernel on Arm Board if available.
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host = os.environ.get("TVM_RPC_ARM_HOST", None)
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remote = None
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if host:
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port = int(os.environ["TVM_RPC_ARM_PORT"])
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try:
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remote = rpc.connect(host, port)
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except RuntimeError as e:
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pass
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if remote:
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remote.upload(path)
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farm = remote.load_module("myadd.o")
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dev = remote.cpu(0)
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n = nn
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a = tvm.runtime.tensor(np.random.uniform(size=n).astype("float32"), dev)
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b = tvm.runtime.tensor(np.random.uniform(size=n).astype("float32"), dev)
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c = tvm.runtime.tensor(np.zeros(n, dtype="float32"), dev)
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farm(a, b, c)
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tvm.testing.assert_allclose(c.numpy(), a.numpy() + b.numpy())
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print("Verification finish on remote..")
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build_arm()
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if __name__ == "__main__":
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test_llvm_add_pipeline()
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