()
| 35 | |
| 36 | |
| 37 | def test_echo() -> None: |
| 38 | fecho = tvm_ffi.get_global_func("testing.echo") |
| 39 | assert isinstance(fecho, tvm_ffi.Function) |
| 40 | # test each type |
| 41 | assert fecho(None) is None |
| 42 | |
| 43 | # test bool |
| 44 | bool_result = fecho(True) |
| 45 | assert isinstance(bool_result, bool) |
| 46 | assert bool_result is True |
| 47 | bool_result = fecho(False) |
| 48 | assert isinstance(bool_result, bool) |
| 49 | assert bool_result is False |
| 50 | |
| 51 | # test int/float |
| 52 | assert fecho(1) == 1 |
| 53 | assert fecho(1.2) == 1.2 |
| 54 | |
| 55 | # test str |
| 56 | str_result = fecho("hello") |
| 57 | assert isinstance(str_result, str) |
| 58 | assert str_result == "hello" |
| 59 | |
| 60 | # test bytes |
| 61 | bytes_result = fecho(b"abc") |
| 62 | assert isinstance(bytes_result, bytes) |
| 63 | assert bytes_result == b"abc" |
| 64 | |
| 65 | # test dtype |
| 66 | dtype_result = fecho(tvm_ffi.dtype("float32")) |
| 67 | assert isinstance(dtype_result, tvm_ffi.dtype) |
| 68 | assert dtype_result == tvm_ffi.dtype("float32") |
| 69 | |
| 70 | # test device |
| 71 | device_result = fecho(tvm_ffi.device("cuda:1")) |
| 72 | assert isinstance(device_result, tvm_ffi.Device) |
| 73 | assert device_result.dlpack_device_type() == tvm_ffi.DLDeviceType.kDLCUDA |
| 74 | assert device_result.index == 1 |
| 75 | assert str(device_result) == "cuda:1" |
| 76 | assert device_result.__repr__() == "device(type='cuda', index=1)" |
| 77 | |
| 78 | # test c_void_p |
| 79 | c_void_p_result = fecho(ctypes.c_void_p(0x12345678)) |
| 80 | assert isinstance(c_void_p_result, ctypes.c_void_p) |
| 81 | assert c_void_p_result.value == 0x12345678 |
| 82 | |
| 83 | # test c_void_p for nullptr |
| 84 | c_void_p_nullptr_result = fecho(ctypes.c_void_p(0)) |
| 85 | c_void_p_nullptr_result is None |
| 86 | |
| 87 | # test function: aka object |
| 88 | fadd = tvm_ffi.convert(lambda a, b: a + b) |
| 89 | fadd1 = fecho(fadd) |
| 90 | assert fadd1(1, 2) == 3 |
| 91 | assert fadd1.same_as(fadd) |
| 92 | |
| 93 | def check_tensor() -> None: |
| 94 | np_data = np.arange(10, dtype="int32") |
no test coverage detected