| # 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. |
| """Test packed function FFI.""" |
| import gc |
| |
| import numpy as np |
| |
| import tvm |
| from tvm import te |
| import tvm.testing |
| from tvm.script import tir as T |
| |
| |
| def test_get_global(): |
| targs = (10, 10.0, "hello") |
| |
| # register into global function table |
| @tvm.register_global_func |
| def my_packed_func(*args): |
| assert tuple(args) == targs |
| return 10 |
| |
| # get it out from global function table |
| f = tvm.get_global_func("my_packed_func") |
| assert isinstance(f, tvm.runtime.PackedFunc) |
| y = f(*targs) |
| assert y == 10 |
| |
| |
| def test_get_callback_with_node(): |
| x = T.int32(10) |
| |
| def test(y): |
| return y |
| |
| f2 = tvm.runtime.convert(test) |
| |
| # register into global function table |
| @tvm.register_global_func |
| def my_callback_with_node(y, f): |
| assert y == x |
| return f(y) |
| |
| # get it out from global function table |
| f = tvm.get_global_func("my_callback_with_node") |
| assert isinstance(f, tvm.runtime.PackedFunc) |
| y = f(x, f2) |
| assert y.value == 10 |
| |
| |
| def test_return_func(): |
| def addy(y): |
| def add(x): |
| return tvm.runtime.convert(x + y) |
| |
| return add |
| |
| myf = tvm.runtime.convert(addy) |
| f = myf(10) |
| assert f(11) == 21 |
| |
| |
| def test_convert(): |
| # convert a function to tvm function |
| targs = (10, 10.0, "hello", 10) |
| |
| def myfunc(*args): |
| assert tuple(args) == targs |
| |
| f = tvm.runtime.convert(myfunc) |
| assert isinstance(f, tvm.runtime.PackedFunc) |
| |
| |
| def test_byte_array(): |
| s = "hello" |
| a = bytearray(s, encoding="ascii") |
| |
| def myfunc(ss): |
| assert ss == a |
| |
| f = tvm.runtime.convert(myfunc) |
| f(a) |
| |
| |
| def test_empty_array(): |
| def myfunc(ss): |
| assert tuple(ss) == () |
| |
| x = tvm.runtime.convert(()) |
| tvm.runtime.convert(myfunc)(x) |
| |
| |
| def test_device(): |
| def test_device_func(dev): |
| assert tvm.cuda(7) == dev |
| return tvm.cpu(0) |
| |
| x = test_device_func(tvm.cuda(7)) |
| assert x == tvm.cpu(0) |
| x = tvm.opencl(10) |
| x = tvm.testing.device_test(x, x.dlpack_device_type(), x.index) |
| assert x == tvm.opencl(10) |
| |
| |
| def test_numpy_scalar(): |
| maxint = (1 << 63) - 1 |
| assert tvm.testing.echo(np.int64(maxint)) == maxint |
| |
| |
| def test_tensor_args(): |
| def check(arr): |
| assert tvm.testing.object_use_count(arr) == 2 |
| |
| fcheck = tvm.runtime.convert(check) |
| x = tvm.runtime.tensor([1, 2, 3]) |
| fcheck(x) |
| assert tvm.testing.object_use_count(x) == 1 |
| |
| |
| def test_dict_function_value_type(): |
| from tvm import tir # pylint: disable=import-outside-toplevel |
| |
| te_func_dict = {"add": lambda a, b: a + b} |
| |
| converted_dict = tvm.runtime.convert(te_func_dict) |
| f = converted_dict["add"] |
| a = tir.Var("a", "float32") |
| b = tir.Var("b", "float32") |
| tvm.ir.assert_structural_equal(f(a, b), tir.Add(a, b)) |
| |
| |
| if __name__ == "__main__": |
| test_tensor_args() |
| test_numpy_scalar() |
| test_rvalue_ref() |
| test_empty_array() |
| test_get_global() |
| test_get_callback_with_node() |
| test_convert() |
| test_return_func() |
| test_byte_array() |
| test_device() |
| test_dict_function_value_type() |