ggml: initial IBM zDNN backend (#14975)
* ggml-zdnn: inital backend impl Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> ggml-zdnn: temp change z17 to arch15 Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> ggml-zdnn: fix build bugs Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: tensor->extra logging check Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> ggml-zdnn: add layout name mapping, ztensor information Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> ggml-zdnn: separate logging into its own line Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> ggml-zdnn: add shape comparison Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> ggml-zdnn: add ggml_tensor shape log Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> ggml-zdnn: fix incorrect shape logging Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add output buffer check Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: run compute and store into tensor->extra Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add set_tensor Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add more loggers Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: update set_tensor logging to check only for matmul Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: last working matmul version Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add comments to prevent accidentally deleting lines Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: support op out_prod Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: update op out_prod to use tensor->extra Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: rewrite the backend implementation Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: bugfix new impl Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix compiler warnings and bugfixes Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: test ztensor finding in init_tensor Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: implement at least 1 op to test Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: assign tensor->extra to buffer Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add check for view tensors to prevent init_tensor Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: rework init_tensor to create new buffers Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: switch to std vector instead of array Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: switch buffers back and set to arbitrary number Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: impl init_tensor Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: update supports_op matmul matrix Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix incorrect ztensor shape, reduce memory padding Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: code clean up Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: impl matmul Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix compiler error missing type Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix missing data transform call Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add bias init_tensor Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: tighten memory usage, change string allocation Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add bias ztensor and data free Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add bias data transform Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add more debug info for extra buffer transform Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add logger to check if mat mul ops go through set_tensor Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: activate bias transform in matmul Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: move weights transform into mulmat Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add more safeguards in matmul Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix sequencing of transforms Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: bugfix transform ztensor vs origtensor Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: figure out why sigtrap is happening Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix sigsegv Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: move everything back to local declaration Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: move bias data to local also Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: bring back working matmul Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: rewrite into mre Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix missing vector import Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix missing vector import in header Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: attempt to fix sigsegv Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix missing load tensor Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix invalid ztensor buffer release Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add logging to debug free buffer Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: remove free_buffer debug info Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add parmblkformat detections Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add nnpa installed detection Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add zdnn_init call for static libs Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add init_tensor Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: attempt at fixing invalid buffer Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: switch to using deque to fix pointer deref problem Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add weights logging to check Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: attempt to use unique ptr Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add tensor to pre_tfm_desc logging Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add inputs logging Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: disable op_none initialisation for testing Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix missing return from init_tensor Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: load ztensors in cgraph exec Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: work on moving output ztensor as well Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: disable logging and breakpoints for full test Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: attempt at manually changing the layout Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: attempt at using default nwhc format instead Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: disable global load ztensor for now Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix errorenous output load tensor Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: add guards to prevent loading ztensor if transformed Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: code cleanup Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: bring load ztensor back to init routine Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: code clean up Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix ztensor deallocation abort stabilise ggml <-> zdnn api Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: clean up matmul selection Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: clean up project structure Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: update documentation, prepare for upstream Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * chore: add codeowners Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: disable batched matmul Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: attempt at fixing tensor views during matmul Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: deny all view tensors directly Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix pr comments Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * docs: update ops docs for zdnn Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: redo test-backend-ops for ops.md Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * ggml-zdnn: fix typo in build-s390x.md Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * codeowners: remove taronaeo for now Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * Revert "codeowners: remove taronaeo for now" This reverts commit 411ea4ed78d08778967bd0bd33a6538cfcbe082f. * ggml-zdnn: remove unused ggml_zdnn macro Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> --------- Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
This commit is contained in:
@@ -76,6 +76,23 @@ cmake --build build --config Release -j $(nproc)
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cmake --build build --config Release -j $(nproc)
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```
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## IBM zDNN Accelerator
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This provides acceleration using the IBM zAIU co-processor located in the Telum I and Telum II processors. Make sure to have the [IBM zDNN library](https://github.com/IBM/zDNN) installed.
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#### Compile from source from IBM
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You may find the official build instructions here: [Building and Installing zDNN](https://github.com/IBM/zDNN?tab=readme-ov-file#building-and-installing-zdnn)
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### Compilation
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```bash
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cmake -S . -B build \
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-DCMAKE_BUILD_TYPE=Release \
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-DGGML_ZDNN=ON
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cmake --build build --config Release -j$(nproc)
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```
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## Getting GGUF Models
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All models need to be converted to Big-Endian. You can achieve this in three cases:
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@@ -145,15 +162,15 @@ All models need to be converted to Big-Endian. You can achieve this in three cas
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### 1. SIMD Acceleration
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Only available in IBM z15 or later system with the `-DGGML_VXE=ON` (turned on by default) compile flag. No hardware acceleration is possible with llama.cpp with older systems, such as IBM z14/arch12. In such systems, the APIs can still run but will use a scalar implementation.
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Only available in IBM z15/LinuxONE 3 or later system with the `-DGGML_VXE=ON` (turned on by default) compile flag. No hardware acceleration is possible with llama.cpp with older systems, such as IBM z14/arch12. In such systems, the APIs can still run but will use a scalar implementation.
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### 2. NNPA Vector Intrinsics Acceleration
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Only available in IBM z16 or later system with the `-DGGML_NNPA=ON` (turned off by default) compile flag. No hardware acceleration is possible with llama.cpp with older systems, such as IBM z15/arch13. In such systems, the APIs can still run but will use a scalar implementation.
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Only available in IBM z16/LinuxONE 4 or later system with the `-DGGML_NNPA=ON` (turned off by default) compile flag. No hardware acceleration is possible with llama.cpp with older systems, such as IBM z15/arch13. In such systems, the APIs can still run but will use a scalar implementation.
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### 3. zDNN Accelerator
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### 3. zDNN Accelerator (WIP)
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_Only available in IBM z16 / LinuxONE 4 or later system. No support currently available._
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Only available in IBM z17/LinuxONE 5 or later system with the `-DGGML_ZDNN=ON` compile flag. No hardware acceleration is possible with llama.cpp with older systems, such as IBM z15/arch13. In such systems, the APIs will default back to CPU routines.
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### 4. Spyre Accelerator
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@@ -229,11 +246,12 @@ IBM VXE/VXE2 SIMD acceleration depends on the BLAS implementation. It is strongl
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## Appendix A: Hardware Support Matrix
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| | Support | Minimum Compiler Version |
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| ------- | ------- | ------------------------ |
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| IBM z15 | ✅ | |
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| IBM z16 | ✅ | |
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| IBM z17 | ✅ | GCC 15.1.0 |
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| | Support | Minimum Compiler Version |
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| -------- | ------- | ------------------------ |
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| IBM z15 | ✅ | |
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| IBM z16 | ✅ | |
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| IBM z17 | ✅ | GCC 15.1.0 |
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| IBM zDNN | ✅ | |
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- ✅ - supported and verified to run as intended
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- 🚫 - unsupported, we are unlikely able to provide support
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@@ -242,7 +260,7 @@ IBM VXE/VXE2 SIMD acceleration depends on the BLAS implementation. It is strongl
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| | VX/VXE/VXE2 | NNPA | zDNN | Spyre |
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| ---------- | ----------- | ---- | ---- | ----- |
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| FP32 | ✅ | ✅ | ❓ | ❓ |
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| FP32 | ✅ | ✅ | ✅ | ❓ |
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| FP16 | ✅ | ✅ | ❓ | ❓ |
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| BF16 | 🚫 | 🚫 | ❓ | ❓ |
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| Q4_0 | ✅ | ✅ | ❓ | ❓ |
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@@ -273,4 +291,4 @@ IBM VXE/VXE2 SIMD acceleration depends on the BLAS implementation. It is strongl
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- 🚫 - acceleration unavailable, will still run using scalar implementation
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- ❓ - acceleration unknown, please contribute if you can test it yourself
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Last Updated by **Aaron Teo (aaron.teo1@ibm.com)** on July 25, 2025.
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Last Updated by **Aaron Teo (aaron.teo1@ibm.com)** on July 31, 2025.
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