File: torch.nn.intrinsic.quantized.rst

package info (click to toggle)
pytorch 1.7.1-7
  • links: PTS, VCS
  • area: main
  • in suites: bullseye
  • size: 80,340 kB
  • sloc: cpp: 670,830; python: 343,991; ansic: 67,845; asm: 5,503; sh: 2,924; java: 2,888; xml: 266; makefile: 244; ruby: 148; yacc: 144; objc: 51; lex: 44
file content (23 lines) | stat: -rw-r--r-- 412 bytes parent folder | download 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
 
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: