tests/python/codegen/test_target_codegen_cross_llvm.py

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"""Test cross compilation"""
import tvm
import tvm.testing
import os
import struct
from tvm import rpc
from tvm.contrib import utils, cc
from tvm.script import tir as T, ir as I
import numpy as np


@I.ir_module
class AddModule:
    @T.prim_func
    def main(
        A: T.Buffer((1024,), "float32"),
        B: T.Buffer((1024,), "float32"),
        C: T.Buffer((1024,), "float32"),
    ):
        T.func_attr({"tir.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("Skip because %s is not enabled.." % target)
            return
        temp = utils.tempdir()
        f = tvm.tir.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 tvm.error.TVMError 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()