I am done

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

@@ -0,0 +1,20 @@
+# flake8: noqa: F401
+r"""QAT Modules.
+
+This package is in the process of being deprecated.
+Please, use `torch.ao.nn.qat.modules` instead.
+"""
+from torch.ao.nn.qat.modules.conv import Conv1d, Conv2d, Conv3d
+from torch.ao.nn.qat.modules.embedding_ops import Embedding, EmbeddingBag
+from torch.ao.nn.qat.modules.linear import Linear
+from torch.nn.qat.modules import conv, embedding_ops, linear
+
+
+__all__ = [
+    "Linear",
+    "Conv1d",
+    "Conv2d",
+    "Conv3d",
+    "Embedding",
+    "EmbeddingBag",
+]

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

@@ -0,0 +1,11 @@
+# flake8: noqa: F401
+r"""QAT Modules.
+
+This file is in the process of migration to `torch/ao/nn/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/qat/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.qat.modules.conv import Conv1d, Conv2d, Conv3d

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

@@ -0,0 +1,14 @@
+# flake8: noqa: F401
+r"""QAT Modules.
+
+This file is in the process of migration to `torch/ao/nn/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/qat/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.qat.modules.embedding_ops import Embedding, EmbeddingBag
+
+
+__all__ = ["Embedding", "EmbeddingBag"]

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

@@ -0,0 +1,10 @@
+# flake8: noqa: F401
+r"""QAT Modules.
+
+This file is in the process of migration to `torch/ao/nn/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/qat/modules`,
+while adding an import statement here.
+"""
+from torch.ao.nn.qat.modules.linear import Linear