|
| 1 | +from enum import Enum |
| 2 | + |
| 3 | +from hypothesis import given, strategies as st |
| 4 | +from . import _array_module as xp |
| 5 | +from . import pytest_helpers as ph |
| 6 | +from . import hypothesis_helpers as hh |
| 7 | + |
| 8 | +# dlpack Enum values, |
| 9 | +# https://data-apis.org/array-api/latest/API_specification/generated/array_api.array.__dlpack_device__.html |
| 10 | + |
| 11 | +class DLPackDeviceEnum(Enum): |
| 12 | + CPU = 1 |
| 13 | + CUDA = 2 |
| 14 | + CPU_PINNED = 3 |
| 15 | + OPENCL = 4 |
| 16 | + VULKAN = 7 |
| 17 | + METAL = 8 |
| 18 | + VPI = 9 |
| 19 | + ROCM = 10 |
| 20 | + CUDA_MANAGED = 13 |
| 21 | + ONE_API = 14 |
| 22 | + |
| 23 | + |
| 24 | +def _compatible_devices(devices): |
| 25 | + """Given a list of devices, filter out dlpack-incompatible ones.""" |
| 26 | + # XXX: there seems to be no better way than try-catch for __dlpack_device__() |
| 27 | + |
| 28 | + # XXX: this process actually fails with CuPy because CuPy ignores the device= argument |
| 29 | + # cf https://github.com/data-apis/array-api-compat/issues/337 and |
| 30 | + # https://github.com/cupy/cupy/issues/9848 |
| 31 | + # Luckily, CuPy only supports CUDA devices, and they are all compatible. |
| 32 | + compatible_ = [] |
| 33 | + for device in devices: |
| 34 | + x = xp.empty(2, device=device) |
| 35 | + try: |
| 36 | + x.__dlpack_device__() |
| 37 | + except: |
| 38 | + # case in point: torch.device(type="meta") raises |
| 39 | + # ValueError: Unknown device type meta for Dlpack |
| 40 | + pass |
| 41 | + else: |
| 42 | + # no exception => device is compatible |
| 43 | + compatible_.append(device) |
| 44 | + return compatible_ |
| 45 | + |
| 46 | + |
| 47 | +@given(dtype=hh.all_dtypes, data=st.data()) |
| 48 | +def test_dlpack_device(dtype, data): |
| 49 | + """Test the array object __dlpack_device__ method.""" |
| 50 | + # TODO: 1. generate inputs on non-default devices |
| 51 | + x = xp.empty(3, dtype=dtype) |
| 52 | + device_type, device_id = x.__dlpack_device__() |
| 53 | + |
| 54 | + assert DLPackDeviceEnum(int(device_type)) |
| 55 | + assert isinstance(device_id, int) |
| 56 | + |
| 57 | + |
| 58 | +@given( |
| 59 | + x=hh.arrays(dtype=hh.all_dtypes, shape=hh.shapes(min_dims=1, max_side=2)), |
| 60 | + copy_kw=hh.kwargs( |
| 61 | + copy=st.booleans() | st.none() |
| 62 | + ), |
| 63 | + max_version_kw=hh.kwargs( |
| 64 | + max_version=st.tuples( |
| 65 | + st.integers(min_value=0, max_value=2), |
| 66 | + st.integers(min_value=0, max_value=0) |
| 67 | + ) |
| 68 | + ), |
| 69 | + dl_device_kw=hh.kwargs( |
| 70 | + dl_device=st.tuples( # XXX: the 2023.12 standard only mandates ... kDLCPU ? |
| 71 | + st.just(DLPackDeviceEnum.CPU.value), |
| 72 | + st.just(0) |
| 73 | + ) |
| 74 | + ), |
| 75 | + data=st.data() |
| 76 | +) |
| 77 | +def test_dunder_dlpack(x, copy_kw, max_version_kw, dl_device_kw, data): |
| 78 | + repro_snippet = ph.format_snippet( |
| 79 | + f"x.__dlpack__ with {copy_kw = }, {max_version_kw = } and {dl_device_kw = }" |
| 80 | + ) |
| 81 | + |
| 82 | + try: |
| 83 | + x.__dlpack__(**copy_kw, **max_version_kw, **dl_device_kw) |
| 84 | + # apparently, we cannot do anything with the DLPack capsule from python |
| 85 | + except Exception as exc: |
| 86 | + ph.add_note(exc, repro_snippet) |
| 87 | + raise |
| 88 | + |
| 89 | + |
| 90 | +@given( |
| 91 | + x=hh.arrays(dtype=hh.all_dtypes, shape=hh.shapes(min_dims=1, max_side=2)), |
| 92 | + copy_kw=hh.kwargs(copy=st.booleans()), |
| 93 | + data=st.data() |
| 94 | +) |
| 95 | +def test_from_dlpack(x, copy_kw, data): |
| 96 | + # TODO: 1. test copy; 2. generate inputs on non-default devices; |
| 97 | + # 3. test for copy=False cross-device transfers |
| 98 | + # 4. test 0D arrays / numpy scalars (the latter do not support dlpack ATM) |
| 99 | + |
| 100 | + copy = copy_kw["copy"] if copy_kw else None |
| 101 | + if copy is False: |
| 102 | + # XXX there is no way to tell if a no-copy cross-device transfer is meant to succeed |
| 103 | + devices = [x.device] |
| 104 | + else: |
| 105 | + devices = xp.__array_namespace_info__().devices() |
| 106 | + devices = _compatible_devices(devices) |
| 107 | + |
| 108 | + tgt_device_kw = data.draw( |
| 109 | + hh.kwargs(device=st.sampled_from(devices) | st.none()) |
| 110 | + ) |
| 111 | + tgt_device = tgt_device_kw['device'] if tgt_device_kw else None |
| 112 | + |
| 113 | + repro_snippet = ph.format_snippet( |
| 114 | + f"y = from_dlpack({x!r}, **tgt_device_kw, **copy_kw) with {tgt_device_kw=} and {copy_kw=}" |
| 115 | + ) |
| 116 | + try: |
| 117 | + y = xp.from_dlpack(x, **tgt_device_kw, **copy_kw) |
| 118 | + |
| 119 | + if tgt_device is None: |
| 120 | + assert y.device == x.device |
| 121 | + assert xp.all(y == x) |
| 122 | + else: |
| 123 | + assert y.device == tgt_device |
| 124 | + |
| 125 | + except Exception as exc: |
| 126 | + ph.add_note(exc, repro_snippet) |
| 127 | + raise |
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