Add UInt16/32/64 support (#6626)

Co-authored-by: Siyuan Liu <[email protected]>
pytorch · Feb 28, 2024 · 0a2e5b5 · 0a2e5b5
1 parent 3c8c54e
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diff --git a/test/test_data_type.py b/test/test_data_type.py
@@ -55,6 +55,16 @@ def test_datatype_f32_div_f64(self):
     assert t2.dtype == torch.float
     assert 'f64' not in hlo_text
 
+  def test_datatype_U16_32_64(self):
+
+    def _dtype_round_trip(dtype):
+      t = torch.randint(0, 128, (2, 4), dtype=dtype).to(xm.xla_device())
+      return t.cpu().dtype
+
+    for dtype in [torch.uint16, torch.uint32, torch.uint64]:
+      dtype2 = _dtype_round_trip(dtype)
+      self.assertTrue(dtype == dtype2)
+
 
 if __name__ == '__main__':
   print(f'XLA_USE_BF16: {os.getenv("XLA_USE_BF16")}')

diff --git a/torch_xla/csrc/dtype.cpp b/torch_xla/csrc/dtype.cpp
@@ -127,10 +127,16 @@ xla::PrimitiveType XlaTypeFromTorchType(at::ScalarType scalar_type) {
       return xla::PrimitiveType::U8;
     case at::ScalarType::Char:
       return xla::PrimitiveType::S8;
+    case at::ScalarType::UInt16:
+      return xla::PrimitiveType::U16;
     case at::ScalarType::Short:
       return xla::PrimitiveType::S16;
+    case at::ScalarType::UInt32:
+      return xla::PrimitiveType::U32;
     case at::ScalarType::Int:
       return xla::PrimitiveType::S32;
+    case at::ScalarType::UInt64:
+      return xla::PrimitiveType::U64;
     case at::ScalarType::Long:
       return xla::PrimitiveType::S64;
     case at::ScalarType::ComplexFloat:

diff --git a/torch_xla/csrc/tensor_util.cpp b/torch_xla/csrc/tensor_util.cpp
@@ -517,10 +517,16 @@ at::Tensor XlaLiteralToTensorHelper(const xla::Literal& literal,
       return XlaLiteralToTensor<SType, uint8_t>(literal, dest_element_type);
     case at::ScalarType::Char:
       return XlaLiteralToTensor<SType, int8_t>(literal, dest_element_type);
+    case at::ScalarType::UInt16:
+      return XlaLiteralToTensor<SType, uint16_t>(literal, dest_element_type);
     case at::ScalarType::Short:
       return XlaLiteralToTensor<SType, int16_t>(literal, dest_element_type);
+    case at::ScalarType::UInt32:
+      return XlaLiteralToTensor<SType, uint32_t>(literal, dest_element_type);
     case at::ScalarType::Int:
       return XlaLiteralToTensor<SType, int32_t>(literal, dest_element_type);
+    case at::ScalarType::UInt64:
+      return XlaLiteralToTensor<SType, uint64_t>(literal, dest_element_type);
     case at::ScalarType::Long:
       return XlaLiteralToTensor<SType, int64_t>(literal, dest_element_type);
     case at::ScalarType::Float: