* update oneapi to 2025.2, use deep-learning-essentials to replace base-tool
* update to 2025.2 use deeplearn essi to replace base toolkit
* add missed dll
* add deep learning essentials
* add sycl-ls
---------
Co-authored-by: Zhang Jianyu <zhang.jianyu@outlook.com>
* CI: Properly install rocwmma for hip builds
on windows we now windows install rocwmma from ubuntu pacakges
* CI: update linux rocm docker build to use rocm 7.0
* rocm.Dockerfile: added gfx1200,gfx1201 architectures to support AMD Radeon RX 9000 series
https://rocm.docs.amd.com/projects/install-on-linux/en/docs-6.4.1/reference/system-requirements.html#rdna-os
states the Radeon RX 9000 series is supported support from Ubuntu 24.04.2, and the dockerfile is using 24.04 which is ROCm 6.4.
This fixed the `ROCm error: invalid device function` I was getting when trying to use the rocm container.
* Revert "devops : fix compile bug when the BASE_CUDA_DEV_CONTAINER is based on Ubuntu 24.04 (#15005)"
This reverts commit e4e915912c.
* devops: Allow pip to modify externally-managed python environment (system installation)
- Updated pip install commands to include the --break-system-packages
flag, ensuring compatibility when working with system-managed Python
environments (PEP 668).
- Note: The --break-system-packages option was introduced in 2023.
Ensure pip is updated to a recent version before using this flag.
fixes [#15004](https://github.com/danchev/llama.cpp/issues/15004)
* Changed the CI file to hw
* Changed the CI file to hw
* Added to sudoers for apt
* Removed the clone command and used checkout
* Added libcurl
* Added gcc-14
* Checking gcc --version
* added gcc-14 symlink
* added CC and C++ variables
* Added the gguf weight
* Changed the weights path
* Added system specification
* Removed white spaces
* ci: Replace Jenkins riscv native build Cloud-V pipeline with GitHub Actions workflow
Removed the legacy .devops/cloud-v-pipeline Jenkins CI configuration and introduced .github/workflows/build-riscv-native.yml for native RISC-V builds using GitHub Actions.
* removed trailing whitespaces
---------
Co-authored-by: Akif Ejaz <akifejaz40@gmail.com>
This commit adds support for MFMA instructions to MMQ. CDNA1/GFX908 CDNA2/GFX90a and CDNA3/GFX942 are supported by the MFMA-enabled code path added by this commit. The code path and stream-k is only enabled on CDNA3 for now as it fails to outperform blas in all cases on the other devices.
Blas is currently only consistently outperformed on CDNA3 due to issues in the amd-provided blas libraries.
This commit also improves the awareness of MMQ towards different warp sizes and as a side effect improves the performance of all quant formats besides q4_0 and q4_1, which regress slightly, on GCN gpus.
* musa: apply mublas API changes
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: update musa version to 4.2.0
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: restore MUSA graph settings in CMakeLists.txt
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: disable mudnnMemcpyAsync by default
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: switch back to non-mudnn images
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* minor changes
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: restore rc in docker image tag
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
---------
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: fix build warning (unused parameter)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: upgrade MUSA SDK version to rc4.0.1
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: use mudnn::Unary::IDENTITY op to accelerate D2D memory copy
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* Update ggml/src/ggml-cuda/cpy.cu
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
* musa: remove MUDNN_CHECK_GEN and use CUDA_CHECK_GEN instead in MUDNN_CHECK
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
---------
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
* [CANN] Support ELU and CONV_TRANSPOSE_1D
* [CANN]Modification review comments
* [CANN]Modification review comments
* [CANN]name adjustment
* [CANN]remove lambda used in template
* [CANN]Use std::func instead of template
* [CANN]Modify the code according to the review comments
---------
Signed-off-by: noemotiovon <noemotiovon@gmail.com>
* musa: Update MUSA SDK version to rc3.1.1
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: Remove workaround in PR #10042
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
---------
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* server : replace behave with pytest
* fix test on windows
* misc
* add more tests
* more tests
* styling
* log less, fix embd test
* added all sequential tests
* fix coding style
* fix save slot test
* add parallel completion test
* fix parallel test
* remove feature files
* update test docs
* no cache_prompt for some tests
* add test_cache_vs_nocache_prompt
Aaron Teo
Yuannan
Neo Zhang Jianyu
uvos
R0CKSTAR
Diego Devesa
Adam
Dobri Danchev
simevo
Christian Kastner
Ali Tariq
diannao
deepsek
Wroclaw
Vedran Miletić
Svetlozar Georgiev
Alberto Cabrera Pérez
Xuan-Son Nguyen
Rudi Servo
Chenguang Li
Georgi Gerganov
R0CKSTAR
Xuan-Son Nguyen
Nuno
Evgeny Kurnevsky
Corentin REGAL
Johannes Gäßler
Romain Biessy
Chenguang Li