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Contents

Interpolate Fusion Patterns

Overview

oneDNN supports various Interpolate fusion patterns to optimize performance and reduce memory bandwidth requirements. This document describes the supported fusion patterns for Interpolate.

Pattern Structure

oneDNN defines floating-point Interpolate fusion patterns as follows. The blue nodes are required when defining an Interpolate fusion pattern while the brown nodes are optional.

1. Interpolate Operation : Performs interpolation for the src tensor at spatial dimensions. See the Interpolate operation in the Graph API for more details.

2. Epilogue Subgraph : Optional and can include the following operations:

   • Binary and Unary operations: refer to the Note in Fusion Patterns.

   Combination Rules:

   

   • 0 to 4 Binary or Unary operations are supported in the epilogue subgraph.

Data Types

oneDNN supports the following combinations of data types for src and dst:

src	dst
f32,bf16,f16	f32,bf16,f16

The definition of the data types and support status on different CPU and GPU platforms follow the general description in the Data Types Guide.

Implementation Limitations

1. The Interpolate operation only supports half_pixel coordinate_transformation_mode.

Unary Fusion Patterns Reduction Fusion Patterns