# Avoid low depth Activations (Network examples)

Below are few examples in which the original graph can be modified to achieve better performance by fusing Conv ops to achieve higher depth:

1. The following network has 2 inputs and each goes to a separate Conv op

![../../_static/resources/htp_guidelines_fig_19.png](data:image/png;base64,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)

**Figure 1**

The Conv on the left has 1x1 filter and the Conv on the right has 2x2 filter and 2x2 stride.

It is possible to change the Conv with 2x2 stride and 2x2 filter to a Conv with 1x1 filter by applying 2x2
S2D (space to depth transformation) to its input. Once this is done, the 2 Convs can be concatenated into a
single convolution with number of output channels equal to the sum of the output channel sizes of the original convolutions.

The modified network is shown below

![../../_static/resources/htp_guidelines_fig_20.png](data:image/png;base64,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)

**Figure 2**

It is best to modify the graph before training without impacting training or inference results while also achieving best possible performance on QNN HTP.

2. Here is another example from a network where the output from the Conv at top fans out into a large number branches

![../../_static/resources/htp_guidelines_fig_21.png](data:image/png;base64,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)

**Figure 3**

In this example the outputs from last set of Convs have very low channel depth, which is inefficient.
Additionally, many of the these Conv ops share same activation function.

In these type of networks, the Convs can be grouped together based on the activation function (Relu, softmax, etc). Then these similar Convs can be concatenated to achieve more channels.

The modified network is shown below

![../../_static/resources/htp_guidelines_fig_22.png](data:image/png;base64,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)

**Figure 4**

The output, Out\_0 and Out\_7 is the combined (concatenated) outputs from 2 branches containing ‘Softmax’ activation.

Last Published: Jun 04, 2026

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