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* zdnn: initial matmul refactor Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: rm static from funcs Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: update ggml-zdnn.h Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: change header files to hpp Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: switch to common.hpp Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: move mulmat forward around Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: rm inline from utils Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: code cleanup Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * docs: add zDNN docs Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> --------- Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
62 lines
2.0 KiB
Markdown
62 lines
2.0 KiB
Markdown
# llama.cpp for IBM zDNN Accelerator
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## Background
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IBM zDNN (Z Deep Neural Network) is a hardware acceleration library designed specifically to leverage the IBM NNPA (Neural Network Processor Assist) accelerator located within IBM Telum I and II processors. It provides significant performance improvements for neural network inference operations.
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### Llama.cpp + IBM zDNN
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The llama.cpp zDNN backend is designed to enable llama.cpp on IBM z17 and later systems via the IBM zDNN hardware acceleration library.
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## Software & Hardware Support
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| Hardware Level | Status | Verified |
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| -------------------- | ------------- | -------------------------- |
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| IBM z17 / LinuxONE 5 | Supported | RHEL 9.6, IBM z17, 40 IFLs |
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| IBM z16 / LinuxONE 4 | Not Supported | |
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## Data Types Supported
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| Data Type | Status |
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| --------- | --------- |
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| F32 | Supported |
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| F16 | Supported |
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| BF16 | Supported |
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## CMake Options
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The IBM zDNN backend has the following CMake options that control the behaviour of the backend.
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| CMake Option | Default Value | Description |
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| ------------ | ------------- | ----------------------------------- |
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| `GGML_ZDNN` | `OFF` | Compile llama.cpp with zDNN support |
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| `ZDNN_ROOT` | `""` | Override zDNN library lookup |
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## 1. Install zDNN Library
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Note: Using the zDNN library provided via `apt` or `yum` may not work correctly as reported in [#15772](https://github.com/ggml-org/llama.cpp/issues/15772). It is preferred that you compile from source.
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```sh
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git clone --recurse-submodules https://github.com/IBM/zDNN
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cd zDNN
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autoreconf .
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./configure --prefix=/opt/zdnn-libs
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make build
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sudo make install
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```
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## 2. Build llama.cpp
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```sh
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git clone https://github.com/ggml-org/llama.cpp
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cd llama.cpp
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cmake -S . -G Ninja -B build \
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-DCMAKE_BUILD_TYPE=Release \
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-DGGML_ZDNN=ON \
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-DZDNN_ROOT=/opt/zdnn-libs
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cmake --build build --config Release -j$(nproc)
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```
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