I am done

rl/Lib/site-packages/torch/nn/intrinsic/__init__.py

@@ -0,0 +1,36 @@
+from torch.ao.nn.intrinsic import (
+    BNReLU2d,
+    BNReLU3d,
+    ConvBn1d,
+    ConvBn2d,
+    ConvBn3d,
+    ConvBnReLU1d,
+    ConvBnReLU2d,
+    ConvBnReLU3d,
+    ConvReLU1d,
+    ConvReLU2d,
+    ConvReLU3d,
+    LinearBn1d,
+    LinearReLU,
+)
+from torch.ao.nn.intrinsic.modules.fused import _FusedModule  # noqa: F401
+
+# Include the subpackages in case user imports from it directly
+from torch.nn.intrinsic import modules, qat, quantized  # noqa: F401
+
+
+__all__ = [
+    "ConvBn1d",
+    "ConvBn2d",
+    "ConvBn3d",
+    "ConvBnReLU1d",
+    "ConvBnReLU2d",
+    "ConvBnReLU3d",
+    "ConvReLU1d",
+    "ConvReLU2d",
+    "ConvReLU3d",
+    "LinearReLU",
+    "BNReLU2d",
+    "BNReLU3d",
+    "LinearBn1d",
+]

rl/Lib/site-packages/torch/nn/intrinsic/modules/__init__.py

@@ -0,0 +1,33 @@
+from torch.nn.intrinsic.modules.fused import (
+    _FusedModule,
+    BNReLU2d,
+    BNReLU3d,
+    ConvBn1d,
+    ConvBn2d,
+    ConvBn3d,
+    ConvBnReLU1d,
+    ConvBnReLU2d,
+    ConvBnReLU3d,
+    ConvReLU1d,
+    ConvReLU2d,
+    ConvReLU3d,
+    LinearBn1d,
+    LinearReLU,
+)
+
+
+__all__ = [
+    "BNReLU2d",
+    "BNReLU3d",
+    "ConvBn1d",
+    "ConvBn2d",
+    "ConvBn3d",
+    "ConvBnReLU1d",
+    "ConvBnReLU2d",
+    "ConvBnReLU3d",
+    "ConvReLU1d",
+    "ConvReLU2d",
+    "ConvReLU3d",
+    "LinearBn1d",
+    "LinearReLU",
+]

rl/Lib/site-packages/torch/nn/intrinsic/modules/fused.py

@@ -0,0 +1,33 @@
+from torch.ao.nn.intrinsic import (
+    BNReLU2d,
+    BNReLU3d,
+    ConvBn1d,
+    ConvBn2d,
+    ConvBn3d,
+    ConvBnReLU1d,
+    ConvBnReLU2d,
+    ConvBnReLU3d,
+    ConvReLU1d,
+    ConvReLU2d,
+    ConvReLU3d,
+    LinearBn1d,
+    LinearReLU,
+)
+from torch.ao.nn.intrinsic.modules.fused import _FusedModule  # noqa: F401
+
+
+__all__ = [
+    "BNReLU2d",
+    "BNReLU3d",
+    "ConvBn1d",
+    "ConvBn2d",
+    "ConvBn3d",
+    "ConvBnReLU1d",
+    "ConvBnReLU2d",
+    "ConvBnReLU3d",
+    "ConvReLU1d",
+    "ConvReLU2d",
+    "ConvReLU3d",
+    "LinearBn1d",
+    "LinearReLU",
+]

rl/Lib/site-packages/torch/nn/intrinsic/qat/__init__.py

@@ -0,0 +1 @@
+from torch.nn.intrinsic.qat.modules import *  # noqa: F403

rl/Lib/site-packages/torch/nn/intrinsic/qat/modules/__init__.py

@@ -0,0 +1,32 @@
+from torch.nn.intrinsic.qat.modules.conv_fused import (
+    ConvBn1d,
+    ConvBn2d,
+    ConvBn3d,
+    ConvBnReLU1d,
+    ConvBnReLU2d,
+    ConvBnReLU3d,
+    ConvReLU1d,
+    ConvReLU2d,
+    ConvReLU3d,
+    freeze_bn_stats,
+    update_bn_stats,
+)
+from torch.nn.intrinsic.qat.modules.linear_fused import LinearBn1d
+from torch.nn.intrinsic.qat.modules.linear_relu import LinearReLU
+
+
+__all__ = [
+    "LinearReLU",
+    "LinearBn1d",
+    "ConvReLU1d",
+    "ConvReLU2d",
+    "ConvReLU3d",
+    "ConvBn1d",
+    "ConvBn2d",
+    "ConvBn3d",
+    "ConvBnReLU1d",
+    "ConvBnReLU2d",
+    "ConvBnReLU3d",
+    "update_bn_stats",
+    "freeze_bn_stats",
+]

rl/Lib/site-packages/torch/nn/intrinsic/qat/modules/conv_fused.py

@@ -0,0 +1,40 @@
+# flake8: noqa: F401
+r"""Intrinsic QAT Modules.
+
+This file is in the process of migration to `torch/ao/nn/intrinsic/qat`, and
+is kept here for compatibility while the migration process is ongoing.
+If you are adding a new entry/functionality, please, add it to the
+appropriate file under the `torch/ao/nn/intrinsic/qat/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.intrinsic.qat import (
+    ConvBn1d,
+    ConvBn2d,
+    ConvBn3d,
+    ConvBnReLU1d,
+    ConvBnReLU2d,
+    ConvBnReLU3d,
+    ConvReLU1d,
+    ConvReLU2d,
+    ConvReLU3d,
+    freeze_bn_stats,
+    update_bn_stats,
+)
+
+
+__all__ = [
+    # Modules
+    "ConvBn1d",
+    "ConvBnReLU1d",
+    "ConvReLU1d",
+    "ConvBn2d",
+    "ConvBnReLU2d",
+    "ConvReLU2d",
+    "ConvBn3d",
+    "ConvBnReLU3d",
+    "ConvReLU3d",
+    # Utilities
+    "freeze_bn_stats",
+    "update_bn_stats",
+]

rl/Lib/site-packages/torch/nn/intrinsic/qat/modules/linear_fused.py

@@ -0,0 +1,16 @@
+# flake8: noqa: F401
+r"""Intrinsic QAT Modules.
+
+This file is in the process of migration to `torch/ao/nn/intrinsic/qat`, and
+is kept here for compatibility while the migration process is ongoing.
+If you are adding a new entry/functionality, please, add it to the
+appropriate file under the `torch/ao/nn/intrinsic/qat/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.intrinsic.qat import LinearBn1d
+
+
+__all__ = [
+    "LinearBn1d",
+]

rl/Lib/site-packages/torch/nn/intrinsic/qat/modules/linear_relu.py

@@ -0,0 +1,16 @@
+# flake8: noqa: F401
+r"""Intrinsic QAT Modules.
+
+This file is in the process of migration to `torch/ao/nn/intrinsic/qat`, and
+is kept here for compatibility while the migration process is ongoing.
+If you are adding a new entry/functionality, please, add it to the
+appropriate file under the `torch/ao/nn/intrinsic/qat/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.intrinsic.qat import LinearReLU
+
+
+__all__ = [
+    "LinearReLU",
+]

rl/Lib/site-packages/torch/nn/intrinsic/quantized/__init__.py

@@ -0,0 +1,14 @@
+# to ensure customers can use the module below
+# without importing it directly
+from torch.nn.intrinsic.quantized import dynamic, modules  # noqa: F401
+from torch.nn.intrinsic.quantized.modules import *  # noqa: F403
+
+
+__all__ = [
+    "BNReLU2d",
+    "BNReLU3d",
+    "ConvReLU1d",
+    "ConvReLU2d",
+    "ConvReLU3d",
+    "LinearReLU",
+]

rl/Lib/site-packages/torch/nn/intrinsic/quantized/dynamic/__init__.py

@@ -0,0 +1 @@
+from torch.nn.intrinsic.quantized.dynamic.modules import *  # noqa: F403

rl/Lib/site-packages/torch/nn/intrinsic/quantized/dynamic/modules/__init__.py

@@ -0,0 +1,6 @@
+from torch.nn.intrinsic.quantized.dynamic.modules.linear_relu import LinearReLU
+
+
+__all__ = [
+    "LinearReLU",
+]

rl/Lib/site-packages/torch/nn/intrinsic/quantized/dynamic/modules/linear_relu.py

@@ -0,0 +1,6 @@
+from torch.ao.nn.intrinsic.quantized.dynamic import LinearReLU
+
+
+__all__ = [
+    "LinearReLU",
+]

rl/Lib/site-packages/torch/nn/intrinsic/quantized/modules/__init__.py

@@ -0,0 +1,17 @@
+from torch.nn.intrinsic.quantized.modules.bn_relu import BNReLU2d, BNReLU3d
+from torch.nn.intrinsic.quantized.modules.conv_relu import (
+    ConvReLU1d,
+    ConvReLU2d,
+    ConvReLU3d,
+)
+from torch.nn.intrinsic.quantized.modules.linear_relu import LinearReLU
+
+
+__all__ = [
+    "LinearReLU",
+    "ConvReLU1d",
+    "ConvReLU2d",
+    "ConvReLU3d",
+    "BNReLU2d",
+    "BNReLU3d",
+]

rl/Lib/site-packages/torch/nn/intrinsic/quantized/modules/bn_relu.py

@@ -0,0 +1,7 @@
+from torch.ao.nn.intrinsic.quantized import BNReLU2d, BNReLU3d
+
+
+__all__ = [
+    "BNReLU2d",
+    "BNReLU3d",
+]

rl/Lib/site-packages/torch/nn/intrinsic/quantized/modules/conv_relu.py

@@ -0,0 +1,8 @@
+from torch.ao.nn.intrinsic.quantized import ConvReLU1d, ConvReLU2d, ConvReLU3d
+
+
+__all__ = [
+    "ConvReLU1d",
+    "ConvReLU2d",
+    "ConvReLU3d",
+]

rl/Lib/site-packages/torch/nn/intrinsic/quantized/modules/linear_relu.py

@@ -0,0 +1,6 @@
+from torch.ao.nn.intrinsic.quantized import LinearReLU
+
+
+__all__ = [
+    "LinearReLU",
+]