rename _quantize_pt2e to quantize_pt2e

Summary:
X-link: pytorch/pytorch#105377

att

Reviewed By: andrewor14

Differential Revision: D47234357

fbshipit-source-id: c5e433322f895b4753ffe283c63f07e8b7617019

Author: jerryzh168

backends/xnnpack/test/test_xnnpack_utils.py

@@ -41,13 +41,6 @@
     QConfigMapping,
 )
 
-from torch.ao.quantization._quantize_pt2e import (
-    convert_pt2e,
-    get_symmetric_quantization_config,
-    prepare_pt2e_quantizer,
-    QNNPackQuantizer,
-)
-
 from torch.ao.quantization.backend_config.executorch import (
     get_executorch_backend_config,
 )
@@ -67,6 +60,13 @@
     prepare_fx,
 )
 
+from torch.ao.quantization.quantize_pt2e import (
+    convert_pt2e,
+    get_symmetric_quantization_config,
+    prepare_pt2e_quantizer,
+    QNNPackQuantizer,
+)
+
 from torch.testing import FileCheck
 
 

exir/tests/test_quantization.py

@@ -12,15 +12,16 @@
 from torch.ao.ns.fx.utils import compute_sqnr
 from torch.ao.quantization import get_default_qconfig, QConfigMapping  # @manual
 
-from torch.ao.quantization._quantize_pt2e import convert_pt2e, prepare_pt2e_quantizer
 from torch.ao.quantization.backend_config._qnnpack_pt2e import (
     get_qnnpack_pt2e_backend_config,
 )
+
 from torch.ao.quantization.pt2e.quantizer import QNNPackQuantizer
 from torch.ao.quantization.pt2e.quantizer.qnnpack_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.testing import FileCheck
 from torch.testing._internal.common_quantization import skipIfNoQNNPACK
 from torch.testing._internal.common_quantized import override_quantized_engine