make style

Author: a-r-r-o-w

tests/quantization/torchao/test_torchao.py

@@ -639,7 +639,7 @@ def test_quantization(self):
             ("int8wo", np.array([0.0505, 0.0742, 0.1367, 0.0429, 0.0585, 0.1386, 0.0585, 0.0703, 0.1367, 0.0566, 0.0703, 0.1464, 0.0546, 0.0703, 0.1425, 0.0546, 0.3535, 0.7578, 0.5000, 0.4062, 0.7656, 0.5117, 0.4121, 0.7656, 0.5117, 0.3984, 0.7578, 0.5234, 0.4023, 0.7382, 0.5390, 0.4570])),
             ("int8dq", np.array([0.0546, 0.0761, 0.1386, 0.0488, 0.0644, 0.1425, 0.0605, 0.0742, 0.1406, 0.0625, 0.0722, 0.1523, 0.0625, 0.0742, 0.1503, 0.0605, 0.3886, 0.7968, 0.5507, 0.4492, 0.7890, 0.5351, 0.4316, 0.8007, 0.5390, 0.4179, 0.8281, 0.5820, 0.4531, 0.7812, 0.5703, 0.4921])),
         ]
- 
+
         if TorchAoConfig._is_cuda_capability_atleast_8_9():
             QUANTIZATION_TYPES_TO_TEST.extend([
                 ("float8wo_e4m3", np.array([0.0546, 0.0722, 0.1328, 0.0468, 0.0585, 0.1367, 0.0605, 0.0703, 0.1328, 0.0625, 0.0703, 0.1445, 0.0585, 0.0703, 0.1406, 0.0605, 0.3496, 0.7109, 0.4843, 0.4042, 0.7226, 0.5000, 0.4160, 0.7031, 0.4824, 0.3886, 0.6757, 0.4667, 0.3710, 0.6679, 0.4902, 0.4238])),
@@ -680,7 +680,7 @@ def test_serialization(self):
 
         loaded_output = loaded_pipe(**inputs)[0].flatten()
         self.assertTrue(np.allclose(output, loaded_output, atol=1e-3, rtol=1e-3))
-    
+
     def test_memory_footprint_int4wo(self):
         # The original checkpoints are in bf16 and about 24 GB
         expected_memory_in_gb = 6.0
@@ -693,7 +693,7 @@ def test_memory_footprint_int4wo(self):
         )
         int4wo_memory_in_gb = get_model_size_in_bytes(transformer) / 1024**3
         self.assertTrue(int4wo_memory_in_gb < expected_memory_in_gb)
-    
+
     def test_memory_footprint_int8wo(self):
         # The original checkpoints are in bf16 and about 24 GB
         expected_memory_in_gb = 12.0