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DISCONTINUATION OF PROJECT

This project will no longer be maintained by Intel.

Intel has ceased development and contributions including, but not limited to, maintenance, bug fixes, new releases, or updates, to this project.

Intel no longer accepts patches to this project.

If you have an ongoing need to use this project, are interested in independently developing it, or would like to maintain patches for the open source software community, please create your own fork of this project.

Contact: [email protected]

Intel® Neural Networks GPU HAL

Introduction

The Intel® Neural Network GPU Hardware Abstraction Layer (NN HAL) provides the GPU hardware acceleration for Android Neural Networks (NN) API. Intel Neural Networks GPU HAL takes the advantage of the Intel GEN Graphics engine, enables high performance and low power implementation of Neural Networks API.
For the first version, Intel® Neural Network GPU HAL utilizes Intel® OpenGL Driver Compute Shader for TensorFlow Operations acceleration. Plan to switch to utilize Intel® Vulkan Driver in the next stage.

Supported Operations

Intel MKL-DNN Neural Networks HAL supports essential Android Neural Networks Operations. Below are the operations supported by Intel Neural Networks GPU HAL:

  • ANEURALNETWORKS_ADD
  • ANEURALNETWORKS_MUL
  • ANEURALNETWORKS_LOGISTIC
  • ANEURALNETWORKS_CONV_2D
  • ANEURALNETWORKS_DEPTHWISE_CONV_2D
  • ANEURALNETWORKS_AVERAGE_POOL_2D
  • ANEURALNETWORKS_MAX_POOL_2D
  • ANEURALNETWORKS_SOFTMAX
  • ANEURALNETWORKS_RESHAPE
  • ANEURALNETWORKS_CONCATENATION
  • ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION

Prerequisite

Intel® Mesa Driver

Validated Models

TBD

Known Issues

Only support TENSOR_FLOAT32 type Operands.

License

Intel® Neural Networks GPU HAL is distributed under the Apache License, Version 2.0 You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0

How to provide feedback

By default, please submit an issue using native github.com interface: https://github.com/projectceladon/nn_gpu/issues

How to contribute

Create a pull request on github.com with your patch. Make sure your change is cleanly building and passing ULTs. A maintainer will contact you if there are questions or concerns.

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