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simple bitcast 2 (#1445)

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* simple bitcast 2

* bc 2

* empty

* Revert "empty"

This reverts commit d8ee083655.
This commit is contained in:
George Hotz
2023-08-06 00:30:50 -07:00
committed by GitHub
parent 943b227cb1
commit d67e248d9b
13 changed files with 55 additions and 24 deletions
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20
test/test_dtype.py
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@@ -27,6 +27,7 @@ def _assert_eq(tensor:Tensor, target_dtype:DType, target):
def _test_op(fxn, target_dtype:DType, target): _assert_eq(fxn(), target_dtype, target)
def _test_cast(a:Tensor, target_dtype:DType, target): _test_op(lambda: a.cast(target_dtype), target_dtype, target)
def _test_bitcast(a:Tensor, target_dtype:DType, target): _test_op(lambda: a.bitcast(target_dtype), target_dtype, target)
# tests no-op casts from source_dtype to target_dtypes
def _test_casts_from(tensor_contents:List, source_dtype:DType, target_dtypes:List[DType], target_contents:Optional[List]=None):
@@ -110,6 +111,25 @@ class TestInt8Dtype(unittest.TestCase):
def test_uint8_to_int8_overflow(self): _test_op(lambda: Tensor([255, 254, 253, 252], dtype=dtypes.uint8).cast(dtypes.int8), dtypes.int8, [-1, -2, -3, -4])
@unittest.skipIf(Device.DEFAULT not in {"CPU", "TORCH"}, "only bitcast in CPU and TORCH")
class TestBitCast(unittest.TestCase):
def test_float32_bitcast_to_int32(self): _test_bitcast(Tensor([1,2,3,4], dtype=dtypes.float32), dtypes.int32, [1065353216, 1073741824, 1077936128, 1082130432])
@unittest.skipIf(Device.DEFAULT == "TORCH", "no uint32 in torch")
def test_float32_bitcast_to_uint32(self): _test_bitcast(Tensor([1,2,3,4], dtype=dtypes.float32), dtypes.uint32, [1065353216, 1073741824, 1077936128, 1082130432])
def test_int32_bitcast_to_float32(self): _test_bitcast(Tensor([1065353216, 1073741824, 1077936128, 1082130432], dtype=dtypes.int32), dtypes.float32, [1.0, 2.0, 3.0, 4.0])
# NOTE: these are the same as normal casts
def test_int8_bitcast_to_uint8(self): _test_bitcast(Tensor([-1, -2, -3, -4], dtype=dtypes.int8), dtypes.uint8, [255, 254, 253, 252])
def test_uint8_bitcast_to_int8(self): _test_bitcast(Tensor([255, 254, 253, 252], dtype=dtypes.uint8), dtypes.int8, [-1, -2, -3, -4])
@unittest.skipIf(Device.DEFAULT == "TORCH", "no uint64 in torch")
def test_int64_bitcast_to_uint64(self): _test_bitcast(Tensor([-1, -2, -3, -4], dtype=dtypes.int64), dtypes.uint64, [18446744073709551615, 18446744073709551614, 18446744073709551613, 18446744073709551612])
@unittest.skipIf(Device.DEFAULT == "TORCH", "no uint64 in torch")
def test_uint64_bitcast_to_int64(self): _test_bitcast(Tensor([18446744073709551615, 18446744073709551614, 18446744073709551613, 18446744073709551612], dtype=dtypes.uint64), dtypes.int64, [-1, -2, -3, -4])
def test_shape_change_bitcast(self):
with self.assertRaises(AssertionError):
_test_bitcast(Tensor([100000], dtype=dtypes.float32), dtypes.uint8, [100000])
class TestInt32Dtype(unittest.TestCase):
def test_int32_to_np(self): _test_to_np(Tensor([1,2,3,4], dtype=dtypes.int32), np.int32, [1,2,3,4])