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|
torch.nn.quantized
------------------
This module implements the quantized versions of the nn layers such as
~`torch.nn.Conv2d` and `torch.nn.ReLU`.
Functional interface
~~~~~~~~~~~~~~~~~~~~
.. automodule:: torch.nn.quantized.functional
.. autofunction:: relu
.. autofunction:: linear
.. autofunction:: conv1d
.. autofunction:: conv2d
.. autofunction:: conv3d
.. autofunction:: max_pool2d
.. autofunction:: adaptive_avg_pool2d
.. autofunction:: avg_pool2d
.. autofunction:: interpolate
.. autofunction:: hardswish
.. autofunction:: upsample
.. autofunction:: upsample_bilinear
.. autofunction:: upsample_nearest
.. automodule:: torch.nn.quantized
ReLU
~~~~~~~~~~~~~~~
.. autoclass:: ReLU
:members:
ReLU6
~~~~~~~~~~~~~~~
.. autoclass:: ReLU6
:members:
ELU
~~~~~~~~~~~~~~~
.. autoclass:: ELU
:members:
Hardswish
~~~~~~~~~~~~~~~
.. autoclass:: Hardswish
:members:
Conv1d
~~~~~~~~~~~~~~~
.. autoclass:: Conv1d
:members:
Conv2d
~~~~~~~~~~~~~~~
.. autoclass:: Conv2d
:members:
Conv3d
~~~~~~~~~~~~~~~
.. autoclass:: Conv3d
:members:
FloatFunctional
~~~~~~~~~~~~~~~
.. autoclass:: FloatFunctional
:members:
QFunctional
~~~~~~~~~~~~~~~
.. autoclass:: QFunctional
:members:
Quantize
~~~~~~~~~~~~~~~
.. autoclass:: Quantize
:members:
DeQuantize
~~~~~~~~~~~~~~~
.. autoclass:: DeQuantize
:members:
Linear
~~~~~~~~~~~~~~~
.. autoclass:: Linear
:members:
BatchNorm2d
~~~~~~~~~~~~~~~
.. autoclass:: BatchNorm2d
:members:
BatchNorm3d
~~~~~~~~~~~~~~~
.. autoclass:: BatchNorm3d
:members:
LayerNorm
~~~~~~~~~~~~~~~
.. autoclass:: LayerNorm
:members:
GroupNorm
~~~~~~~~~~~~~~~
.. autoclass:: GroupNorm
:members:
InstanceNorm1d
~~~~~~~~~~~~~~~
.. autoclass:: InstanceNorm1d
:members:
InstanceNorm2d
~~~~~~~~~~~~~~~
.. autoclass:: InstanceNorm2d
:members:
InstanceNorm3d
~~~~~~~~~~~~~~~
.. autoclass:: InstanceNorm3d
:members:
|
