mul: remove opmath cast sequence

test/test_operations_hlo.py

@@ -67,6 +67,22 @@ def test_dropout_by_u8_mask(self):
     hlo_text = torch_xla._XLAC._get_xla_tensors_hlo([b])
     assert 'u8' in hlo_text
 
+  def test_bfloat16_mul_not_upcast(self):
+    a = torch.rand(5, 5, dtype=torch.bfloat16).to('xla')
+    b = torch.rand(5, 5, dtype=torch.bfloat16).to('xla')
+    c = a * b
+    hlo_text = torch_xla._XLAC._get_xla_tensors_hlo([c])
+    # Check that the output is not upcasted to float32
+    assert 'f32' not in hlo_text
+
+  def test_bfloat16_float32_mul_upcast(self):
+    a = torch.rand(5, 5, dtype=torch.bfloat16).to('xla')
+    b = torch.rand(5, 5, dtype=torch.float32).to('xla')
+    c = a * b
+    hlo_text = torch_xla._XLAC._get_xla_tensors_hlo([c])
+    # Check that the output is upcasted to float32
+    assert 'f32' in hlo_text
+
 
 if __name__ == '__main__':
   torch.set_default_dtype(torch.float32)

torch_xla/csrc/aten_xla_type.cpp

@@ -2535,7 +2535,6 @@ at::Tensor XLANativeFunctions::mul(const at::Tensor& self,
       .add_input(self)
       .add_input(other)
       .cast_inputs_to_common_dtype()
-      .use_opmathtype_for_compute()
       .run();
 }