Rename qnnpack quantizer to xnnpack quantizer

Summary:
X-link: pytorch/pytorch#105551

att

Reviewed By: andrewor14

Differential Revision: D47422894

fbshipit-source-id: 937a8d9422b2e81b976c68fd3e2dd5d148799c3e

backends/xnnpack/test/test_xnnpack_utils.py

@@ -66,7 +66,7 @@
     convert_pt2e,
     get_symmetric_quantization_config,
     prepare_pt2e,
-    QNNPackQuantizer,
+    XNNPACKQuantizer,
 )
 
 from torch.testing import FileCheck
@@ -307,7 +307,7 @@ def quantize_and_test_model_with_quantizer(
         captured_program = exir.capture(module, example_inputs, config=capture_config)
         m = captured_program.graph_module
 
-        quantizer = QNNPackQuantizer()
+        quantizer = XNNPACKQuantizer()
         quantization_config = get_symmetric_quantization_config()
         quantizer.set_global(quantization_config)
         prepared = prepare_pt2e(m, quantizer)

exir/tests/test_quantization.py

@@ -16,12 +16,12 @@
     get_qnnpack_pt2e_backend_config,
 )
 
-from torch.ao.quantization.pt2e.quantizer import QNNPackQuantizer
-from torch.ao.quantization.pt2e.quantizer.qnnpack_quantizer import (
+from torch.ao.quantization.pt2e.quantizer import XNNPACKQuantizer
+from torch.ao.quantization.pt2e.quantizer.xnnpack_quantizer import (
     get_symmetric_quantization_config,
 )
 from torch.ao.quantization.quantize_fx import convert_to_reference_fx, prepare_fx
-from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e_quantizer
+from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e
 from torch.testing import FileCheck
 from torch.testing._internal.common_quantization import skipIfNoQNNPACK
 from torch.testing._internal.common_quantized import override_quantized_engine
@@ -60,10 +60,10 @@ def test_resnet(self) -> None:
                 exir.EdgeCompileConfig(_check_ir_validity=False)
             ).graph_module
 
-            quantizer = QNNPackQuantizer()
+            quantizer = XNNPACKQuantizer()
             operator_config = get_symmetric_quantization_config(is_per_channel=True)
             quantizer.set_global(operator_config)
-            m = prepare_pt2e_quantizer(m, quantizer)
+            m = prepare_pt2e(m, quantizer)
             self.assertEqual(
                 id(m.activation_post_process_3), id(m.activation_post_process_2)
             )