ngraph::pass::ConvToBinaryConv Class Reference

This transformation converts Convolution to BinaryConvolution under following conditions: More...

#include <conv_to_binary_conv.hpp>

Inheritance diagram for ngraph::pass::ConvToBinaryConv:

Data Fields
	NGRAPH_RTTI_DECLARATION

Detailed Description

This transformation converts Convolution to BinaryConvolution under following conditions:

• first input to Convolution is a FakeQuantize with levels==2 with output low,high being either (0, 1) or (-1, 1)
• second input (weights) is a constant with values -1 or 1 The transformation also converts weights to binary Constant (with 'u1' type) For example, when output_low is equal to 0 and output_high is equal to 1, following graph

      .... ....  out_low   out_high
        |    |      |         |
       +--------------------------+           +-------------------------------------+
       | FakeQuantize (levels==2) |           |               Constant              |
       |     (on activations)     |           | (weights containing -1 or 1 values) |
       +--------------------------+           +-------------------------------------+
                     |                                      |
                     |                                      |
                     -----------------    -------------------
                                     |    |
                                     v    v
                                +-------------+
                                | Convolution |
                                +-------------+
                                       |
                                       v
  

  is transformed to:

      .... ....  out_low   out_high
        |    |      |         |
       +--------------------------+           +---------------------------------+
       | FakeQuantize (levels==2) |           |     Constant (with u1 type)     |
       |     (on activations)     |           | (with u1 type - binary weights) |
       +--------------------------+           +---------------------------------+
                     |                                      |
                     |                                      |
                     -----------------    -------------------
                                     |    |
                                     v    v
                             +-------------------+
                             | BinaryConvolution |
                             +-------------------+
                                       |
                                       v
                                +------------+     +----------------------------------------------------+
                                |            |     |                   Constant                         |
                                |     Add    | <---|          (weights from original graph,             |
                                |            |     |  sum-reduced over [1,..., len(weights.shape)] axes |
                                +------------+     +----------------------------------------------------+
                                       |
                                       v
                                +------------+     +-----+
                                |  Multiply  | <---| 0.5 |
                                +------------+     +-----+
                                       |
                                       v
  

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The documentation for this class was generated from the following file:

• /home/jenkins/agent/workspace/openvino/documentation/upload_documentation/ovino_doc/build/_tmp_docs/openvino/inference-engine/src/transformations/include/transformations/common_optimizations/conv_to_binary_conv.hpp