vulkan : add fp16 support for the conv_2d kernel (#14872)

* add f16 to conv_2d testing
* weaken conv2d test error threshold

vulkan: skip empty set_rows to avoid invalid API usage (#14860)

model : make rope_yarn_log_mul optional for deepseek2 (#14896)

* make rope_yarn_log_mul optional for deepseek2

* default rope_yarn_log_mul = 0.0f

llama : fix kq_scale for the attention layers of PLaMo2 (#14892)

* Fix dimensions for expand

* Change dimensions to copy states to cache

* Fix the default value for plamo2 conversion

* Fix scale given to build_attn

* Update src/llama-model.cpp

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Update src/llama-model.cpp

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Update src/llama-model.cpp

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

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Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

Docs: add instructions for adding backends (#14889)

HIP: Enable Matrix cores for MMQ Kernels, Enable stream-K for CDNA 3 (#…

…14624)

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.

CANN: Implement GLU ops (#14884)

Implement REGLU, GEGLU, SWIGLU ops according to #14158

musa: fix build warnings (unused variable) (#14869)

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

ggml-cpu : disable GGML_NNPA by default due to instability (#14880)

* docs: update s390x document for sentencepiece

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit e086c5e)

* docs: update huggingface links + reword

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 8410b08)

* ggml-cpu: disable ggml-nnpa compile flag by default

fixes #14877

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 412f4c7)

* docs: update s390x build docs to reflect nnpa disable

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit c1eeae1)

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Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

metal: SSM_SCAN performance (#14743)

* feat: Add s_off as a parameter in the args struct

This may not be necessary, but it more closely mirrors the CUDA kernel

Branch: GraniteFourPerf

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* perf: Parallelize mamba2 SSM_SCAN metal kernel over d_state

This is a first attempt at optimizing the metal kernel. The changes here
are:

- Launch the kernel with a thread group of size d_state
- Use simd groups and shared memory to do the summation for the y
  computation

When tested with G4 tiny preview, this shows roughly a 3x speedup on
prefill and 15% speedup on decode.

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Update logic to correctly do the multi-layer parallel sum

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Correctly size the shared memory bufer and assert expected size relationships

Branch: GraniteFourPerf

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refactor: Compute block offsets once rather than once per token

Branch: GraniteFourPerf

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Use local variable for state recursion

Branch: GraniteFourPerf

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Use a secondary simd_sum instead of a for loop

Branch: GraniteFourPerf

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Add assertion and comment about relationship between simd size and num simd groups

Branch: GraniteFourPerf

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Parallelize of d_state for mamba-1

Branch: GraniteFourPerf

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Parallel sum in SSM_CONV

Branch: GraniteFourPerf

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* Revert "feat: Parallel sum in SSM_CONV"

After discussion with @compilade, the size of the parallelism here is
not worth the cost in complexity or overhead of the parallel for.

#14743 (comment)

This reverts commit 16bc059.

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* refactor: Simplify shared memory sizing

Branch: GraniteFourPerf

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
Co-Authored-By: Georgi Gerganov <ggerganov@gmail.com>

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Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>