When fattn-wmma was ported over to warp64 various bits that also touch fattn-vec where converted to
selectable warp size, however the fattn-vec kernels dont work with 64 wide warps for now, so we need
to avoid launching them with parameters for warp64
refactor mmqv to unify the calculation of nwarps and rows per block between host and device code.
---------
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
This patch nudges the llama.cpp a bit to be supported on PoCL which
doesn't support OpenCL C CL2.0. The issue is solved by querying the
device for the supported OpenCL C versions and using the highest one
available.
This commit updates the compilation of default.metallib to skip the
intermediate .air (Apple Intermediate Representation) file.
The motivation for this change is to simplify the custom command a
little and avoid generating and then removing the .air file.
* ggml_compute_forward_concat() for arbitrary tensor type
* Check that tensors' type match
* ggml-cpu.c: check type of source tensors
* ggml-cpu.c: move tensor type check to ggml_compute_forward_concat()
* ggml.c: check concatenated tensor type
* Remove tensor type check from ggml_compute_forward_concat() in ggml-cpu.c
..., as it was moved to ggml.c.
* metal : refactor im2col parameters into a struct
* metal: Change im2col offset types from int32_t to uint64_t to support larger memory offsets
* metal : refactor sum_rows parameters into a struct
* metal : refactor soft_max parameters into a struct
* metal : refactor diag_mask_inf parameters into a struct
* metal : refactor ssm_conv parameters into a struct
* metal : refactor ssm_scan parameters into a struct
* metal : refactor get_rows parameters into a struct
* metal : refactor group_norm parameters into a struct
* metal : refactor conv_transpose_1d parameters into a struct
* metal : refactor upscale parameters into a struct
* metal : refactor pad parameters into a struct
* metal : refactor pad_reflect_1d parameters into a struct
* metal : refactor arange parameters into a struct
* metal : refactor timestep_embedding parameters into a struct
* metal : refactor argsort parameters into a struct
* metal : refactor leaky_relu parameters into a struct
* metal : refactor pool_2d parameters into a struct
* metal : fix trailing whitespace
---------
Co-authored-by: alexju <alexju@tencent.com>
This commit updates the custom command to build the default.metallib
file to use the correct path to ../ggml-common.h by using the variable
METALLIB_COMMON.
The motivation for this change is that currently when building and
specifying GGML_METAL_EMBED_LIBRARY=OFF the following error is
generated:
```console
[ 11%] Linking CXX shared library ../../bin/libggml.dylib
[ 11%] Built target ggml
make[2]: *** No rule to make target `ggml/src/ggml-metal/ggml-common.h', needed by `bin/default.metallib'. Stop.
make[1]: *** [ggml/src/ggml-metal/CMakeFiles/ggml-metal-lib.dir/all] Error 2
```
With the above change the build could progress but there was a follow
on error about not being able to find the ggml-common.h file in
ggml-metal.metal where is was included as a relative path:
```console
[ 11%] Compiling Metal kernels
/Users/danbev/work/llama.cpp/build/bin/ggml-metal.metal:6:10: error: '../ggml-common.h' file not found, did you mean 'ggml-common.h'?
^~~~~~~~~~~~~~~~~~
"ggml-common.h"
1 error generated.
```
Removing the relative path then allowed the build to complete
successfully.
Fix the following error:
```
ggml-alloc.c:99: not enough space in the buffer
ggml_tallocr_alloc: not enough space in the buffer to allocate blk.17.ffn_down.weight (needed 27525120, available 27521024)
```
which occurs when `ggml_backend_opencl_context::alignment` is larger
than `cl_ptr_base` (hard-coded to `0x1000`).
Also, fix `ggml_backend_opencl_context::alignment` was set to
`CL_DEVICE_MEM_BASE_ADDR_ALIGN` which was treated as bytes but the
value is reported in bits.
* ggml-cpu: Faster IQ1 mul_mat_vec on AVX2 using BMI2 instructions
* cmake: Add GGML_BMI2 build option
* ggml: enable BMI2 on relevant CPU variants
* ggml-cpu: include BMI2 in backend score
* ggml-cpu: register BMI2 in ggml_backend_cpu_get_features
* ggml-cpu: add __BMI2__ define when using MSVC
-- it might happen if ggml is loaded from 2 separate libraries since each one of them will expose the class. This is more of a guard since we want to use only Metal as embedded library and don't care about the other case.
* Add include files for std::min/max and std::toupper/tolower
* win32: move _USE_MATH_DEFINES before includes to ensure M_PI is defined
* Use GGML_RESTRICT instead of "restrict" keyword everywhere, and use "__restrict" in MSVC plain C mode
* win32: only use __restrict in MSVC if C11/C17 support is not enabled
---------
Co-authored-by: Marcus Groeber <Marcus.Groeber@cerence.com>
Adds GGML_HIP_ROCWMMA_FATTN and rocwmma header check
Adds rocWMMA support to fattn-wmma-f16
---
Signed-off-by: Carl Klemm <carl@uvos.xyz>
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
Co-authored-by: Ben Jackson <ben@ben.com>
* Support fp16 unary operations in the CUDA backend
* cpu: increase fp16 support for unary operators in the CPU backend
* cuda: increase fp16 support for unary operators in the CUDA backend
* Add test cases for fp16 unary operators
* metal: update supports_op for unary operators that don't support fp16, to prevent test-backend-ops from failing
* metal: fix PR comments for unary op support after fp16 unary tests
* Support float16-to-float16 add/sub/mul/div operations in the CUDA backend
* Add fp16 support for add/sub/mul/div on the CPU backend
* Add test cases for fp16 add/sub/mul/div
* Upgrade init_tensor API to return a ggml_status
To prepare for an 'abort-free' ggml
(ggml not to abort on OOMs but return a OOM status),
as agreeed with Diego in the ggml repo,
upgrade the init_tensor() and view_init() APIs
to return a ggml_status.
* misc fixes
---------
Co-authored-by: slaren <slarengh@gmail.com>
* vulkan: implement specialized MMV kernels for IQ2 quantizations
* vulkan: add MMV kernels for IQ3 quants
* vulkan: Increase MMV batch size and unroll IQ LUT setup
* vulkan: fix init_iq_shmem for WG sizes larger than tables
* vulkan: common batch size for all I-quants
* Added SVE Support for Q2_K Quantized Models
* Use 4-space indentation in the switch cases
* removed comments lines
* Remove the loop Retain the curly bracess for better understanding of code
* Remove the comment like added for q3_k_q8_k kernel
---------
Co-authored-by: vithulep <p.m.vithule1517@gmail.com>
* Fix dependencies between ggml and backends
ggml backends link only to ggml-base and ggml links to all backends.
* Fix installation of ggml backends
Set up GNUInstallDirs before setting the installation directory of ggml backends
