Files

.azure_pipelines
.circleci
.ctags.d
.github
.jenkins
.vscode
android
aten
benchmarks
binaries
c10
caffe2
cmake
docker
docs
- caffe2
- cpp
- source
  - _static
  - _templates
  - community
  - elastic
  - notes
  - rpc
  - scripts
  - __config__.rst
  - amp.rst
  - autograd.rst
  - backends.rst
  - benchmark_utils.rst
  - bottleneck.rst
  - checkpoint.rst
  - complex_numbers.rst
  - conf.py
  - cpp_extension.rst
  - cpp_index.rst
  - cuda.rst
  - cudnn_persistent_rnn.rst
  - cudnn_rnn_determinism.rst
  - data.rst
  - ddp_comm_hooks.rst
  - distributed.algorithms.join.rst
  - distributed.elastic.rst
  - distributed.optim.rst
  - distributed.rst
  - distributions.rst
  - dlpack.rst
  - docutils.conf
  - fft.rst
  - futures.rst
  - fx.rst
  - hub.rst
  - index.rst
  - jit.rst
  - jit_builtin_functions.rst
  - jit_language_reference.rst
  - jit_language_reference_v2.rst
  - jit_python_reference.rst
  - jit_unsupported.rst
  - linalg.rst
  - math-quantizer-equation.png
  - mobile_optimizer.rst
  - model_zoo.rst
  - multiprocessing.rst
  - name_inference.rst
  - named_tensor.rst
  - nn.functional.rst
  - nn.init.rst
  - nn.rst
  - onnx.rst
  - optim.rst
  - package.rst
  - pipeline.rst
  - profiler.rst
  - quantization-support.rst
  - quantization.rst
  - random.rst
  - rpc.rst
  - sparse.rst
  - special.rst
  - storage.rst
  - tensor_attributes.rst
  - tensor_view.rst
  - tensorboard.rst
  - tensors.rst
  - testing.rst
  - torch.nn.intrinsic.qat.rst
  - torch.nn.intrinsic.quantized.rst
  - torch.nn.intrinsic.rst
  - torch.nn.qat.rst
  - torch.nn.quantized.dynamic.rst
  - torch.nn.quantized.rst
  - torch.overrides.rst
  - torch.quantization.rst
  - torch.rst
  - type_info.rst
- .gitignore
- Makefile
- README.md
- libtorch.rst
- make.bat
- requirements.txt
ios
modules
mypy_plugins
scripts
submodules
test
third_party
tools
torch
.bazelrc
.bazelversion
.clang-format
.clang-tidy
.cmakelintrc
.coveragerc
.dockerignore
.flake8
.gdbinit
.gitattributes
.gitignore
.gitmodules
.isort.cfg
BUILD.bazel
CITATION
CMakeLists.txt
CODEOWNERS
CODE_OF_CONDUCT.md
CONTRIBUTING.md
Dockerfile
GLOSSARY.md
LICENSE
MANIFEST.in
Makefile
NOTICE
README.md
RELEASE.md
SECURITY.md
WORKSPACE
aten.bzl
codecov.yml
docker.Makefile
mypy-strict.ini
mypy.ini
pytest.ini
requirements-flake8.txt
requirements.txt
setup.py
ubsan.supp
version.txt

torch.nn.intrinsic.quantized.rst

and

facebook-github-bot

Lint trailing newlines (pytorch#54737 )

Mar 30, 2021

5bcbbf5 · Mar 30, 2021

torch.nn.intrinsic.quantized

This module implements the quantized implementations of fused operations like conv + relu.

.. automodule:: torch.nn.intrinsic.quantized

ConvReLU2d

.. autoclass:: ConvReLU2d
    :members:

ConvReLU3d

.. autoclass:: ConvReLU3d
    :members:

LinearReLU

.. autoclass:: LinearReLU
    :members: