add IntxUnpackedToInt8Tensor to safetensors

test/prototype/safetensors/test_safetensors_support.py

@@ -20,6 +20,8 @@
 from torchao.quantization.quant_api import (
     Float8DynamicActivationFloat8WeightConfig,
     Int4WeightOnlyConfig,
+    Int8DynamicActivationIntxWeightConfig,
+    IntxWeightOnlyConfig,
 )
 from torchao.utils import is_sm_at_least_89
 
@@ -46,6 +48,8 @@ class TestSafeTensors(TestCase):
             (Int4WeightOnlyConfig(), False),
             (Int4WeightOnlyConfig(), True),
             (Int4WeightOnlyConfig(int4_packing_format="tile_packed_to_4d"), False),
+            (IntxWeightOnlyConfig(), False),
+            (Int8DynamicActivationIntxWeightConfig(), False),
         ],
     )
     def test_safetensors(self, config, act_pre_scale=False):

torchao/prototype/safetensors/safetensors_utils.py

@@ -10,6 +10,7 @@
     Float8Tensor,
     Int4Tensor,
     Int4TilePackedTo4dTensor,
+    IntxUnpackedToInt8Tensor,
 )
 from torchao.quantization.quantize_.common import KernelPreference
 from torchao.quantization.quantize_.workflows import QuantizeTensorToFloat8Kwargs
@@ -18,6 +19,7 @@
     "Float8Tensor": Float8Tensor,
     "Int4Tensor": Int4Tensor,
     "Int4TilePackedTo4dTensor": Int4TilePackedTo4dTensor,
+    "IntxUnpackedToInt8Tensor": IntxUnpackedToInt8Tensor,
     "Float8MMConfig": torchao.float8.inference.Float8MMConfig,
     "QuantizeTensorToFloat8Kwargs": QuantizeTensorToFloat8Kwargs,
     "PerRow": torchao.quantization.PerRow,
@@ -29,6 +31,7 @@
     "Float8Tensor",
     "Int4Tensor",
     "Int4TilePackedTo4dTensor",
+    "IntxUnpackedToInt8Tensor",
 ]
 
 __all__ = [