Skip tests for old pytorch versions

tests/brevitas/quant_tensor/test_quant_tensor.py

@@ -2,15 +2,15 @@
 # SPDX-License-Identifier: BSD-3-Clause
 from enum import Enum
 
+from packaging import version
 import pytest
 import torch
 
-from brevitas.inject.enum import QuantType
+from brevitas import torch_version
 from brevitas.nn import QuantIdentity
 from brevitas.quant.experimental.float_quant_ocp import Fp8e5m2OCPActPerTensorFloat
 from brevitas.quant_tensor import FloatQuantTensor
 from brevitas.quant_tensor import IntQuantTensor
-from brevitas.quant_tensor import QuantTensor
 
 
 class Operator(Enum):
@@ -49,6 +49,10 @@ def test_quant_tensor_init():
     'op', [Operator.ADD, Operator.SUBTRACT, Operator.DIVIDE, Operator.MULTIPLY, Operator.MATMUL])
 @pytest.mark.parametrize('quant_fn', [to_quant_tensor, to_float_quant_tensor])
 def test_quant_tensor_operators(op, quant_fn):
+
+    if quant_fn == to_float_quant_tensor and torch_version < version.parse('1.13'):
+        pytest.skip("Torch 1.13 is required for JIT to be compatible with FloatQuantTensor")
+
     # Avoid 0 values
     x = 1 + torch.rand(4, 4)