This commit removes the empty `.gitmodules` file from the repository.
The motivation of this is that this file is currently empty and the
project does not use any submodules at this time. Removing it mainly to
reduce clutter in the repository and any confusion when seen the file
in repo.
This commit disables the publishing of the Java binding to the Maven
repository.
The motivation for this is that this job was disabled for some time and
recently it was re-enabled, but the publishing of the Java binding
caused the build to fail and needs to be investigated further.
Refs: https://github.com/ggml-org/whisper.cpp/issues/3079
* Update PATH for main/main-cuda container
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* Add Dockerfile for musa, .dockerignore and update CI
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* Add Moore Threads GPU Support in README.md and replace ./main with whisper-cli
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* Forward GGML_CUDA/GGML_MUSA to cmake in Makefile
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* Minor updates for PATH ENV in Dockerfiles
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* Address comments
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
---------
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* Lazy run TestBase.whisper
* Fix indentation
* Remove disused GGML_HIP_UMA from Ruby
* Add encoder_begin_callback
* Comment out existing abort mechanism
* Add test for encoder_begin_callback
* Add signatures for encoder_begin_callback related methods
* Update gem date
* tune matmul for gcn
* this one is more power efficient
* Update ggml/src/ggml-vulkan/ggml-vulkan.cpp
Co-authored-by: 0cc4m <picard12@live.de>
* disable this tune for the proprietary driver
---------
Co-authored-by: 0cc4m <picard12@live.de>
Add RPC_CMD_HELLO for getting the version of the protocol implemend by
the server. Follow the semantic versioning rules at https://semver.org
Hopefully this bring better user experience when we make breaking
changes at the protocol level and avoid issues like #12465
* graph : make mla compatible with FA
* metal : add exp FA kernels for DeepSeek models
ggml-ci
* llama : minor naming updates
ggml-ci
* ggml : disable FA for DS head sizes
* tests : add FA tests for MLA shapes
ggml-ci
Submit operators using asynchronous threads to improve performance.
Use the environment variable GGML_CANN_ASYNC_MODE to control whether
asynchronous submission is enabled. It is disabled by default.
Testing shows a 10%–20% performance improvement in scenarios with
small parameter sizes, especially in quantized models.
The grouped query attention optmization doesn't require a power of two ratio,
the only thing relying on it was the modulo operation written as bitwise &.
split_k need not depend on gqa_ratio - enable it any time there's only one
workgroup in the X dimension. The shader gets the split index from the x coord,
and multiple workgroups in the X dimension (pre-split) indicates a larger
FA operation that wouldn't need splitting.
Replace compile-time `GGML_HIP_UMA` with environment variable `GGML_CUDA_ENABLE_UNIFIED_MEMORY`. This unifies the usage on NVIDIA and AMD GPUs, and allows a single binary to be shared between integrated and dedicated GPUs.
Multiple optional memory pools are provided for CANN, including VMM,
priority queue-based, and traditional memory pools.
1.When the memory pool is available and GGML_CANN_DISABLE_VMM_POOL
is not defined, the VMM pool is selected by default.
2.Otherwise, if GGML_CANN_ENABLE_BUF_PRIO_POOL is defined,
the priority queue-based memory pool is used.
3.If neither condition is met, the default memory pool is used.
The current usage of the SYCL-Graph extension checks for
the `sycl_ext_oneapi_graph` device aspect. However, it is also
possible to support `sycl_ext_oneapi_limied_graph` devices that
don't support update
* SYCL: Add fp16 support to some elementwise OP kernels
* remove comment
ggml-ci
* Use static_cast directly
* remove not needed cast from tanh
* Use static cast and remove unneeded castings
* Adjust device_support_op for unary OPs
* Use cast_data and typed_data struct to deduplicate casting code
