mirror of
https://github.com/LostRuins/koboldcpp.git
synced 2025-09-11 09:34:37 +00:00
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:
Aaron Teo
GitHub
parent
d3248d9b65
commit
ff27f80a74
15 changed files with 9265 additions and 102 deletions
|
|
@ -76,6 +76,23 @@ cmake --build build --config Release -j $(nproc)
|
|||
cmake --build build --config Release -j $(nproc)
|
||||
```
|
||||
|
||||
## IBM zDNN Accelerator
|
||||
|
||||
This provides acceleration using the IBM zAIU co-processor located in the Telum I and Telum II processors. Make sure to have the [IBM zDNN library](https://github.com/IBM/zDNN) installed.
|
||||
|
||||
#### Compile from source from IBM
|
||||
|
||||
You may find the official build instructions here: [Building and Installing zDNN](https://github.com/IBM/zDNN?tab=readme-ov-file#building-and-installing-zdnn)
|
||||
|
||||
### Compilation
|
||||
|
||||
```bash
|
||||
cmake -S . -B build \
|
||||
-DCMAKE_BUILD_TYPE=Release \
|
||||
-DGGML_ZDNN=ON
|
||||
cmake --build build --config Release -j$(nproc)
|
||||
```
|
||||
|
||||
## Getting GGUF Models
|
||||
|
||||
All models need to be converted to Big-Endian. You can achieve this in three cases:
|
||||
|
|
@ -145,15 +162,15 @@ All models need to be converted to Big-Endian. You can achieve this in three cas
|
|||
|
||||
### 1. SIMD Acceleration
|
||||
|
||||
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.
|
||||
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.
|
||||
|
||||
### 2. NNPA Vector Intrinsics Acceleration
|
||||
|
||||
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.
|
||||
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.
|
||||
|
||||
### 3. zDNN Accelerator
|
||||
### 3. zDNN Accelerator (WIP)
|
||||
|
||||
_Only available in IBM z16 / LinuxONE 4 or later system. No support currently available._
|
||||
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.
|
||||
|
||||
### 4. Spyre Accelerator
|
||||
|
||||
|
|
@ -229,11 +246,12 @@ IBM VXE/VXE2 SIMD acceleration depends on the BLAS implementation. It is strongl
|
|||
|
||||
## Appendix A: Hardware Support Matrix
|
||||
|
||||
| | Support | Minimum Compiler Version |
|
||||
| ------- | ------- | ------------------------ |
|
||||
| IBM z15 | ✅ | |
|
||||
| IBM z16 | ✅ | |
|
||||
| IBM z17 | ✅ | GCC 15.1.0 |
|
||||
| | Support | Minimum Compiler Version |
|
||||
| -------- | ------- | ------------------------ |
|
||||
| IBM z15 | ✅ | |
|
||||
| IBM z16 | ✅ | |
|
||||
| IBM z17 | ✅ | GCC 15.1.0 |
|
||||
| IBM zDNN | ✅ | |
|
||||
|
||||
- ✅ - supported and verified to run as intended
|
||||
- 🚫 - unsupported, we are unlikely able to provide support
|
||||
|
|
@ -242,7 +260,7 @@ IBM VXE/VXE2 SIMD acceleration depends on the BLAS implementation. It is strongl
|
|||
|
||||
| | VX/VXE/VXE2 | NNPA | zDNN | Spyre |
|
||||
| ---------- | ----------- | ---- | ---- | ----- |
|
||||
| FP32 | ✅ | ✅ | ❓ | ❓ |
|
||||
| FP32 | ✅ | ✅ | ✅ | ❓ |
|
||||
| FP16 | ✅ | ✅ | ❓ | ❓ |
|
||||
| BF16 | 🚫 | 🚫 | ❓ | ❓ |
|
||||
| Q4_0 | ✅ | ✅ | ❓ | ❓ |
|
||||
|
|
@ -273,4 +291,4 @@ IBM VXE/VXE2 SIMD acceleration depends on the BLAS implementation. It is strongl
|
|||
- 🚫 - acceleration unavailable, will still run using scalar implementation
|
||||
- ❓ - acceleration unknown, please contribute if you can test it yourself
|
||||
|
||||
Last Updated by **Aaron Teo (aaron.teo1@ibm.com)** on July 25, 2025.
|
||||
Last Updated by **Aaron Teo (aaron.teo1@ibm.com)** on July 31, 2025.
|
||||
|
|
|
|||
177
docs/ops.md
177
docs/ops.md
|
|
@ -12,91 +12,92 @@ Legend:
|
|||
- 🟡 Partially supported by this backend
|
||||
- ❌ Not supported by this backend
|
||||
|
||||
| Operation | BLAS | CANN | CPU | CUDA | Metal | OpenCL | SYCL | Vulkan |
|
||||
|-----------|------|------|------|------|------|------|------|------|
|
||||
| ABS | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ |
|
||||
| ACC | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
|
||||
| ADD | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ |
|
||||
| ADD1 | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ |
|
||||
| ARANGE | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
|
||||
| ARGMAX | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
|
||||
| ARGSORT | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| CLAMP | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 |
|
||||
| CONCAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ |
|
||||
| CONT | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | 🟡 |
|
||||
| CONV_2D | ❌ | ❌ | ✅ | ❌ | ❌ | ✅ | ❌ | ✅ |
|
||||
| CONV_2D_DW | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ |
|
||||
| CONV_TRANSPOSE_1D | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
|
||||
| CONV_TRANSPOSE_2D | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
|
||||
| COS | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 |
|
||||
| COUNT_EQUAL | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ |
|
||||
| CPY | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
|
||||
| CROSS_ENTROPY_LOSS | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
|
||||
| CROSS_ENTROPY_LOSS_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
|
||||
| DIAG_MASK_INF | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ |
|
||||
| DIV | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ |
|
||||
| DUP | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 |
|
||||
| ELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ |
|
||||
| EXP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ |
|
||||
| FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | ❌ | ❌ | 🟡 |
|
||||
| GATED_LINEAR_ATTN | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ |
|
||||
| GEGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 |
|
||||
| GEGLU_ERF | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 |
|
||||
| GEGLU_QUICK | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 |
|
||||
| GELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
|
||||
| GELU_ERF | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
|
||||
| GELU_QUICK | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
|
||||
| GET_ROWS | ❌ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 |
|
||||
| GET_ROWS_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ❌ |
|
||||
| GROUP_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| HARDSIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ |
|
||||
| HARDSWISH | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ |
|
||||
| IM2COL | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ |
|
||||
| L2_NORM | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
|
||||
| LEAKY_RELU | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
|
||||
| LOG | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ |
|
||||
| MEAN | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
|
||||
| MUL | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ |
|
||||
| MUL_MAT | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
|
||||
| MUL_MAT_ID | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ |
|
||||
| NEG | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ |
|
||||
| NORM | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 |
|
||||
| OPT_STEP_ADAMW | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ |
|
||||
| OUT_PROD | 🟡 | ❌ | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ❌ |
|
||||
| PAD | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| PAD_REFLECT_1D | ❌ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ |
|
||||
| POOL_2D | ❌ | 🟡 | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
|
||||
| REGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 |
|
||||
| RELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
|
||||
| REPEAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 |
|
||||
| REPEAT_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ |
|
||||
| RMS_NORM | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ |
|
||||
| RMS_NORM_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ |
|
||||
| RMS_NORM_MUL_ADD | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| ROLL | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ |
|
||||
| ROPE | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| ROPE_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ |
|
||||
| RWKV_WKV6 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
|
||||
| RWKV_WKV7 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
|
||||
| SCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| SET | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ |
|
||||
| SET_ROWS | ❌ | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
|
||||
| SGN | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ |
|
||||
| SIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
|
||||
| SILU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
|
||||
| SILU_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ |
|
||||
| SIN | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 |
|
||||
| SOFT_MAX | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | 🟡 | ✅ |
|
||||
| SOFT_MAX_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ✅ |
|
||||
| SQR | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 |
|
||||
| SQRT | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | ❌ |
|
||||
| SSM_CONV | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
|
||||
| SSM_SCAN | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
|
||||
| STEP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ |
|
||||
| SUB | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ |
|
||||
| SUM | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ |
|
||||
| SUM_ROWS | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| SWIGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 |
|
||||
| TANH | ❌ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | 🟡 |
|
||||
| TIMESTEP_EMBEDDING | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
||||
| UPSCALE | ❌ | 🟡 | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ |
|
||||
| Operation | BLAS | CANN | CPU | CUDA | Metal | OpenCL | SYCL | Vulkan | zDNN |
|
||||
|-----------|------|------|------|------|------|------|------|------|------|
|
||||
| ABS | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ | ❌ |
|
||||
| ACC | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ |
|
||||
| ADD | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ |
|
||||
| ADD1 | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ |
|
||||
| ARANGE | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
|
||||
| ARGMAX | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ |
|
||||
| ARGSORT | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |
|
||||
| CLAMP | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ❌ |
|
||||
| CONCAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | 🟡 | ✅ | ❌ |
|
||||
| CONT | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ❌ |
|
||||
| CONV_2D | ❌ | ❌ | ✅ | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ |
|
||||
| CONV_2D_DW | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ |
|
||||
| CONV_TRANSPOSE_1D | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ |
|
||||
| CONV_TRANSPOSE_2D | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
|
||||
| COS | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ❌ |
|
||||
| COUNT_EQUAL | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ |
|
||||
| CPY | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ |
|
||||
| CROSS_ENTROPY_LOSS | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
|
||||
| CROSS_ENTROPY_LOSS_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
|
||||
| DIAG_MASK_INF | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ |
|
||||
| DIV | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ |
|
||||
| DUP | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ❌ |
|
||||
| ELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ | ❌ |
|
||||
| EXP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ | ❌ |
|
||||
| FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ❌ |
|
||||
| GATED_LINEAR_ATTN | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ |
|
||||
| GEGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ❌ |
|
||||
| GEGLU_ERF | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ❌ |
|
||||
| GEGLU_QUICK | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ❌ |
|
||||
| GELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ |
|
||||
| GELU_ERF | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ |
|
||||
| GELU_QUICK | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ |
|
||||
| GET_ROWS | ❌ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | ❌ |
|
||||
| GET_ROWS_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ❌ | ❌ |
|
||||
| GROUP_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |
|
||||
| HARDSIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ | ❌ |
|
||||
| HARDSWISH | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ | ❌ |
|
||||
| IM2COL | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ❌ |
|
||||
| L2_NORM | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ |
|
||||
| LEAKY_RELU | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ |
|
||||
| LOG | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ |
|
||||
| MEAN | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
|
||||
| MUL | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ |
|
||||
| MUL_MAT | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
|
||||
| MUL_MAT_ID | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ❌ |
|
||||
| NEG | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ | ❌ |
|
||||
| NORM | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ❌ |
|
||||
| OPT_STEP_ADAMW | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ |
|
||||
| OUT_PROD | 🟡 | ❌ | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ❌ | ❌ |
|
||||
| PAD | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |
|
||||
| PAD_REFLECT_1D | ❌ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ |
|
||||
| POOL_2D | ❌ | 🟡 | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ |
|
||||
| REGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ❌ |
|
||||
| RELU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ |
|
||||
| REPEAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | 🟡 | ❌ |
|
||||
| REPEAT_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ |
|
||||
| RMS_NORM | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ❌ |
|
||||
| RMS_NORM_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ |
|
||||
| RMS_NORM_MUL_ADD | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |
|
||||
| ROLL | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ | ❌ |
|
||||
| ROPE | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |
|
||||
| ROPE_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ |
|
||||
| RWKV_WKV6 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ |
|
||||
| RWKV_WKV7 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ |
|
||||
| SCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |
|
||||
| SET | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ |
|
||||
| SET_ROWS | ❌ | ❌ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ |
|
||||
| SGN | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ | ❌ |
|
||||
| SIGMOID | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ |
|
||||
| SILU | ❌ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ |
|
||||
| SILU_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ |
|
||||
| SIN | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ❌ |
|
||||
| SOFTCAP | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
|
||||
| SOFT_MAX | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | 🟡 | ✅ | ❌ |
|
||||
| SOFT_MAX_BACK | ❌ | ❌ | 🟡 | 🟡 | ❌ | ❌ | ❌ | ✅ | ❌ |
|
||||
| SQR | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ❌ |
|
||||
| SQRT | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | ❌ | ❌ |
|
||||
| SSM_CONV | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
|
||||
| SSM_SCAN | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
|
||||
| STEP | ❌ | ✅ | ✅ | 🟡 | 🟡 | ❌ | 🟡 | ❌ | ❌ |
|
||||
| SUB | ❌ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ |
|
||||
| SUM | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ |
|
||||
| SUM_ROWS | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |
|
||||
| SWIGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ❌ |
|
||||
| TANH | ❌ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | 🟡 | ❌ |
|
||||
| TIMESTEP_EMBEDDING | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |
|
||||
| UPSCALE | ❌ | 🟡 | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | ❌ |
|
||||
|
|
|
|||
8134
docs/ops/zDNN.csv
Normal file
8134
docs/ops/zDNN.csv
Normal file
File diff suppressed because it is too large
Load diff
Loading…
Add table
Add a link
Reference in a new issue