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

@@ -0,0 +1,97 @@
+r"""Quantized Modules.
+
+Note::
+    The `torch.nn.quantized` namespace is in the process of being deprecated.
+    Please, use `torch.ao.nn.quantized` instead.
+"""
+
+# The following imports are needed in case the user decides
+# to import the files directly,
+# s.a. `from torch.nn.quantized.modules.conv import ...`.
+# No need to add them to the `__all__`.
+from torch.ao.nn.quantized.modules import (
+    activation,
+    batchnorm,
+    conv,
+    DeQuantize,
+    dropout,
+    embedding_ops,
+    functional_modules,
+    linear,
+    MaxPool2d,
+    normalization,
+    Quantize,
+    rnn,
+    utils,
+)
+from torch.ao.nn.quantized.modules.activation import (
+    ELU,
+    Hardswish,
+    LeakyReLU,
+    MultiheadAttention,
+    PReLU,
+    ReLU6,
+    Sigmoid,
+    Softmax,
+)
+from torch.ao.nn.quantized.modules.batchnorm import BatchNorm2d, BatchNorm3d
+from torch.ao.nn.quantized.modules.conv import (
+    Conv1d,
+    Conv2d,
+    Conv3d,
+    ConvTranspose1d,
+    ConvTranspose2d,
+    ConvTranspose3d,
+)
+from torch.ao.nn.quantized.modules.dropout import Dropout
+from torch.ao.nn.quantized.modules.embedding_ops import Embedding, EmbeddingBag
+from torch.ao.nn.quantized.modules.functional_modules import (
+    FloatFunctional,
+    FXFloatFunctional,
+    QFunctional,
+)
+from torch.ao.nn.quantized.modules.linear import Linear
+from torch.ao.nn.quantized.modules.normalization import (
+    GroupNorm,
+    InstanceNorm1d,
+    InstanceNorm2d,
+    InstanceNorm3d,
+    LayerNorm,
+)
+from torch.ao.nn.quantized.modules.rnn import LSTM
+
+
+__all__ = [
+    "BatchNorm2d",
+    "BatchNorm3d",
+    "Conv1d",
+    "Conv2d",
+    "Conv3d",
+    "ConvTranspose1d",
+    "ConvTranspose2d",
+    "ConvTranspose3d",
+    "DeQuantize",
+    "ELU",
+    "Embedding",
+    "EmbeddingBag",
+    "GroupNorm",
+    "Hardswish",
+    "InstanceNorm1d",
+    "InstanceNorm2d",
+    "InstanceNorm3d",
+    "LayerNorm",
+    "LeakyReLU",
+    "Linear",
+    "LSTM",
+    "MultiheadAttention",
+    "Quantize",
+    "ReLU6",
+    "Sigmoid",
+    "Softmax",
+    "Dropout",
+    "PReLU",
+    # Wrapper modules
+    "FloatFunctional",
+    "FXFloatFunctional",
+    "QFunctional",
+]

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

@@ -0,0 +1,20 @@
+# flake8: noqa: F401
+r"""Quantized Modules.
+
+This file is in the process of migration to `torch/ao/nn/quantized`, 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/quantized/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.quantized.modules.activation import (
+    ELU,
+    Hardswish,
+    LeakyReLU,
+    MultiheadAttention,
+    PReLU,
+    ReLU6,
+    Sigmoid,
+    Softmax,
+)

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

@@ -0,0 +1,11 @@
+# flake8: noqa: F401
+r"""Quantized Modules.
+
+This file is in the process of migration to `torch/ao/nn/quantized`, 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/quantized/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.quantized.modules.batchnorm import BatchNorm2d, BatchNorm3d

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

@@ -0,0 +1,29 @@
+# flake8: noqa: F401
+r"""Quantized Modules.
+
+This file is in the process of migration to `torch/ao/nn/quantized`, 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/quantized/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.quantized.modules.conv import (
+    _reverse_repeat_padding,
+    Conv1d,
+    Conv2d,
+    Conv3d,
+    ConvTranspose1d,
+    ConvTranspose2d,
+    ConvTranspose3d,
+)
+
+
+__all__ = [
+    "Conv1d",
+    "Conv2d",
+    "Conv3d",
+    "ConvTranspose1d",
+    "ConvTranspose2d",
+    "ConvTranspose3d",
+]

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

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

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

@@ -0,0 +1,18 @@
+# flake8: noqa: F401
+r"""Quantized Modules.
+
+This file is in the process of migration to `torch/ao/nn/quantized`, 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/quantized/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.quantized.modules.embedding_ops import (
+    Embedding,
+    EmbeddingBag,
+    EmbeddingPackedParams,
+)
+
+
+__all__ = ["EmbeddingPackedParams", "Embedding", "EmbeddingBag"]

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

@@ -0,0 +1,18 @@
+# flake8: noqa: F401
+r"""Quantized Modules.
+
+This file is in the process of migration to `torch/ao/nn/quantized`, 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/quantized/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.quantized.modules.functional_modules import (
+    FloatFunctional,
+    FXFloatFunctional,
+    QFunctional,
+)
+
+
+__all__ = ["FloatFunctional", "FXFloatFunctional", "QFunctional"]

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

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

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

@@ -0,0 +1,26 @@
+# flake8: noqa: F401
+r"""Quantized Modules.
+
+This file is in the process of migration to `torch/ao/nn/quantized`, 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/quantized/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.quantized.modules.normalization import (
+    GroupNorm,
+    InstanceNorm1d,
+    InstanceNorm2d,
+    InstanceNorm3d,
+    LayerNorm,
+)
+
+
+__all__ = [
+    "LayerNorm",
+    "GroupNorm",
+    "InstanceNorm1d",
+    "InstanceNorm2d",
+    "InstanceNorm3d",
+]

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

@@ -0,0 +1,11 @@
+# flake8: noqa: F401
+r"""Quantized Modules.
+
+This file is in the process of migration to `torch/ao/nn/quantized`, 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/quantized/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.quantized.modules.rnn import LSTM

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

@@ -0,0 +1,17 @@
+# flake8: noqa: F401
+r"""Quantized Modules.
+
+This file is in the process of migration to `torch/ao/nn/quantized`, 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/quantized/modules`,
+while adding an import statement here.
+"""
+
+from torch.ao.nn.quantized.modules.utils import (
+    _hide_packed_params_repr,
+    _ntuple_from_first,
+    _pair_from_first,
+    _quantize_weight,
+    WeightedQuantizedModule,
+)