* Add power management utilities to NPU device context and update DCVS settings
* Update DCVS settings in power_utils to use v3 API and enhance power management
* wip
* Enhance dequantization functions by adding load_dequant_table support and updating signatures for improved performance
* use lut
* wip
* fix test failure
* wip
* Refactor load_qual_block_generic to improve block handling and optimize vector operations
* Enhance load_dual_block_generic and load_qual_block_generic to accept a mask parameter for improved block handling
* Refactor flash_attn_impl to optimize mask l2 prefetch
* wip
* wip
* wip
* wip
* add log
* link against shared libraries instead of static ones
* fix swiglu
* wip
* refactor expf_fix to handle overflow for different data types
* enhance is_glu_op_supported to validate shapes for multiple sources
* wip
* refactor logging macros to use hexagon namespace and improve formatting
* fix printf format error
* wip
* refactor: update static_assert messages for block size validation and add HVX_VectorPred_x3 type alias
* rename
* feat: enhance fa with mask
* wip
* wip
* refactor: replace instances of Q6_V_vzero() with kZeroV for consistency
* wip
* wip
* wip
* fix: improve address alignment check in HVX_Vector handling
* refactor: streamline vector dot product implementations for improved readability
* refactor: q4k add hvx intrinsic impl
* refactor: enhance dequantize_row_q4_K for clarity and performance
* refactor: optimize scale mask usage in dequantization functions for improved performance
* refactor: optimize dequantize_row_q4_K for intrinsic usage and performance improvements
* refactor: move GLU operation implementation into separated file
* sync after swiglu
* wip
* wip
* wip
* feat: increase prc main thread stack size
* fix: replace hardcoded stack size with NPU_THREAD_STACK_SIZE constant
* wip
* feat: add optimized vector operations for exponential and division with overflow handling
* wip
* feat: refactor exponential function to handle overflow and underflow with improved logic
* wip
* wip
* feat: add vector loading and scaling functions for improved performance in block processing
* wip
* feat: optimize block loading by refactoring scale index handling for improved performance
* use Q6_Vb_vlut32_VbVbR_nomatch instead
* feat: enhance scale loading by adding static assertion and restructuring block handling
* wip
* feat: refactor vec_dot_product_mixed_impl for improved clarity and performance
* wip
* feat: simplify vector loading functions and improve alignment handling
* wip
* feat: enhance scale loading mask with quantization block size validation
* wip
* feat: implement make_scale_load_mask function and refactor vector handling in vec_ops
* feat: enhance load_dual_block_generic to include scale indices for improved vector loading
* revert q8 dequant
* wip
* feat: optimize dequantization functions by removing unnecessary masking and updating lookup methods
* wip
* wip
* add qurt_mutex
* Add DMA transfer class and integrate into thread pool
* Enhance DMA transfer functionality by adding support for multiple descriptors and initiating transfers in parallel
* fix dma crash
* fix failed unit tests
* wip
* use alignas
* Improve DMA transfer error handling and update descriptor completion check
* Fix VTCM cache size calculation in element-wise operations
* Add cache clean operations before DMA transfers in element-wise operations
* reduce cache clean operations
* Refactor DMA transfer functions to support 1D operations and rename for clarity
* Enhance DMA transfer functionality by adding 2D submission support and improving descriptor initialization
* Update read buffer method to support forced invalidation and remove unnecessary invalidation calls in element-wise operations
* wip
* Improve DMA transfer handling in mul_mat_gemv_impl by replacing memcpy with initiate_dma_row_transfer and adding wait_for_dma logic
* fix 2d dma
* feat: add DMA plane cache
* rename
* wip
* use memcpy for debug
* fix cache plane calc
* refactor: remove debug logging from mul_mat_impl and optimize cache handling
* rename
* fix 2d dma type
* refactor: enhance DMA transfer handling in mul_mat_gemv_impl and wait functions
* refactor: optimize DMA transfer handling in mul_mat_gemv_impl and wait functions
* wip
* wip
* move op impl into sub dir
* add log
* fix: correct pointer usage in mul_mat_gemv_impl for next plane access
* fix: improve DMA transfer error handling in mul_mat_impl and mul_mat_gemv_impl
* fix: fix crash by using the entire row bytes
* wip
* wip
* fix: prevent parallelization for scalar src1 in is_mul_mat_supported
* fix: add dimension checks for 2D DMA transfers and fallback to 1D if necessary
* wip
* fix: enable thread barrier for mul multiplication operations
* feat: add synchronization checks for tensor operations and update related functions
* wip
* fix: remove invalidation flag from get_read_buffer calls in element-wise and matrix multiplication operations
* Revert "fix: remove invalidation flag from get_read_buffer calls in element-wise and matrix multiplication operations"
This reverts commit af3441e67e706b2e5122369dc160353796867dd3.
* wip
* wip
* add comment
* fix: improve DMA transfer handling in mul_mat_gemv_impl for quantized source tensors
* add log
* try fix mulmat gemv
* wip
* fix: enhance DMA transfer handling in mul_mat_gemv_impl for quantized source tensors
* fix: optimize cache offset calculation and remove redundant swap in mul_mat_gemv_impl
* fix: refactor DMA transfer handling in mul_mat_gemv_impl for improved clarity and maintainability
* wip
* wip
* wip
* fix: enhance mul_mat_impl for improved cache handling and clarity
* fix: refactor tensor unflattening and DMA transfer initialization for improved clarity and type safety
* fix: improve cache handling of quant
* wip
* fix: improve cache handling in mul_mat_impl and mul_mat_gemv_impl for better memory efficiency
* rename
* add load_hexa_block_generic
* wip
* extract dequant block into separated function
* refactor: enhance dequantization functions with table parameter
* fix load_dual_block_generic
* refactor: rename dequantization functions for clarity and enhance block handling
* refactor: simplify dequantization logic by consolidating block handling and removing unused parameters
* wip
* wip
* feat: add make_qs_load_mask function and update load_dual_block_generic to use qs_indices
* fix load_dual_block_generic
* refactor: update load functions to use qs_indices for improved block loading
* wip
* fix: update loop indices and boundary checks to use size_t for better efficiency
* wip
* update make_scale_load_mask, to make it available for q8
* feat: add vec_dot_product_quant_impl for quantized dot product computation
* refactoring: move come quant func to dedicated file
* refactor: rename dequantization functions for clarity and consistency
* wip
* feat: enhance vec_dot_product_quant_impl with dual dequantization and improved assertions
* add vec_dot_product_vqf32_q40_f32
* wip
* wip
* wip
* wip
* implement vec_mpy_qf32_qf32_qf32 function and update vec_dot_product_vqf32_q40_f32 to use it
* wip
* add src0_plane_write_cache_offset
* wip
* enhance mul_mat_f32 to handle NPU_DATA_TYPE_Q4_0 for quantized matrix multiplication
* wip
* wip
* update test func
* refactor mul_mat_gemv_quant_impl to use get_nb for row stride and remove unused test function in init_f16_f32_table
* wip
* Add support for 4-block dequantization in vec_quant and update dot product implementation
* Refactor vec_dot_product_quant_impl to improve variable handling and enhance readability
* Refactor vec_dot_product_quant_impl to replace template function with inline vector operations
* use Q6_Vqf32_vmpy_VsfVsf instead of Q6_Vqf32_vmpy_Vqf32Vqf32
* Revert "use Q6_Vqf32_vmpy_VsfVsf instead of Q6_Vqf32_vmpy_Vqf32Vqf32"
This reverts commit 54839166fddbe40a0392adee5863c59070ccdbe4.
* wip
* improve log print in graph
* Refactor batched_row_dot to accept additional arguments and remove batched_row_dot_with_table
* Refactor synchronization functions to include previous operation and NE type parameters
* Refactor synchronization checks in several operations
* Update synchronization checks to include NPU_OP_COUNT in required conditions
* Add performance tracking to buffer management functions
* add memset
* add log
* fix: update backend device type from ACCEL to IGPU
* fix comment
* add get/set rows
* feat: implement row operation support checks in is_rows_supported
* feat: add support for I64 data type in rows operations
* feat: implement set_rows functionality for I32 and I64 data types
* wip
* fix set_rows
* feat: extend is_rows_supported to allow F32 data type in destination
* wip
* feat: rename set_rows function, add generic to its name
* disable q4_k
* move ops to separated file
* rename: op_impl -> op_registry
* refactor: update get_data_type struct to include output type for unary operations
* refactor: simplify vec_trans_impl by removing parameterized overload and using variadic templates
* add vec_trans_with_half_ret_impl
* add NPU_OP_CPY
* refactor: enhance is_unary_op_supported to handle non-continuous rows and add type support logging
* refactor: update vec_trans_with_half_ret_impl to use processed_bytes for clarity and accuracy
* wip
* refactor: optimize dequantize_vec_q40_qf32_4blocks by improving shuffling logic and reducing redundancy
* refactor: improve performance of vec_dot_product and dequantize functions by optimizing shuffling logic
* wip
* add dequantize_vec_q40_qf32_6blocks
* feat: add load_dequant_vec_q40_qf32_6blocks function for 6-block dequantization
* feat: enhance vec_dot_product_quant_impl with 6-element processing loop for improved performance
* Revert "feat: enhance vec_dot_product_quant_impl with 6-element processing loop for improved performance"
This reverts commit a5c8fa3e4d9a2d89c8c0821c936c0466e0af7869.
since there's a performance degradation
* fix: correct load_hexa_block_generic return type and update dequantization logic
* wip
* wip
* feat: add make_q40_qs_load_mask function and update vec_dot_product_vqf32_q40_f32
* fix dequant load
* add debug log
* wip
* wip
* fix shuffle index array
* refactor: simplify load mask generation and improve index shuffling for q4 blocks
* wip
* wip
* fix comment
* wip
* update ops.md
* update ops.md by create_ops_docs.py
# Conflicts:
# docs/ops.md
* vulkan: implement SSM scan operation
Add State Space Model scan operation to the Vulkan backend.
Signed-off-by: Giuseppe Scrivano <gscrivan@redhat.com>
* vulkan: implement SSM conv operation
Add State Space Model conv operation to the Vulkan backend.
Signed-off-by: Giuseppe Scrivano <gscrivan@redhat.com>
---------
Signed-off-by: Giuseppe Scrivano <gscrivan@redhat.com>
* CPU: Add support for FLOOR,CEIL,ROUND and TRUNC unary operators
- Added the operators to unary op enum
- Implemented API functions
- Implemented forward and unary-op logic in CPU backend
- Updated ggml_get_n_tasks
- Updated operators names array and static_assert
- Updated docs and enabled automatic tests
* docs: add documentation for ggml_trunc and ggml_trunc_inplace in ggml.h
* chore: remove trailing whitespace from ggml.h
* Remove unresolved merge markers
* Apply review suggestions: cleanup formatting, enum order and leftover artifacts
* Regenerate ops.md using create_ops_docs.py
* fix/refactor OP argsort, pad
* fix count-equal op
* update SYCL OP list
* fix format issue
---------
Co-authored-by: Zhang Jianyu <zhang.jianyu@outlook.com>
* 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>
Since the prefill length is not fixed, graphs constructed for the
prefill stage cannot be reused. For this reason, ACL graph
execution is disabled by default during prefill.
* CANN: implement LRU cache for ACL graphs in CANN backend
- Introduce ggml_cann_graph_lru_cache to store multiple ggml_cann_graph objects.
- Graphs are loaded on demand and evicted using LRU policy when capacity is exceeded.
- Updated push, move_to_front, and clear methods to manage cached graphs efficiently.
- Ensures reuse of graphs, reducing graph reconstruction overhead in CANN backend.
* fix typo
* The LRU cache capacity can be configured via an env variable
Signed-off-by: noemotiovon <757486878@qq.com>
* refactory acl graph
* refactory && fix review comments
Signed-off-by: noemotiovon <757486878@qq.com>
---------
Signed-off-by: noemotiovon <757486878@qq.com>
* [CANN] Support eager execution mode under ACL graph compilation
Add support for running operators in eager mode while ACL graph
compilation is enabled. This allows bypassing graph execution
and directly submitting ops, which is useful for debugging and
reducing graph build overhead in certain scenarios.
Signed-off-by: noemotiovon <757486878@qq.com>
* fix typo
Signed-off-by: noemotiovon <757486878@qq.com>
* rename to acl_graph_mode
Signed-off-by: noemotiovon <757486878@qq.com>
---------
Signed-off-by: noemotiovon <757486878@qq.com>
* Fix MinicpmV model converter and clip to avoid using hardcode.
* Code update for pr/14750
* Remove unused field, update script path in docs.
* Add version 5 for fallback code.
---------
Co-authored-by: lzhang <zhanglei@modelbest.cn>
This patch updates the example in docs/development/HOWTO-add-model.md to
reflect recent changes after `TextModel` and `MmprojModel` were introduced.
It replaces the outdated `Model` base class with `TextModel` or `MmprojModel`
and updates the registration example accordingly.
Signed-off-by: Wook Song <wook16.song@samsung.com>
* 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>
* Documentation: Revised and further improved the Vulkan instructions for Linux users in build.md.
* Minor: Revise step 2 of the Vulkan instructions for Linux users in build.md
* Minimal setup of webgpu backend with dawn. Just prints out the adapter and segfaults
* Initialize webgpu device
* Making progress on setting up the backend
* Finish more boilerplate/utility functions
* Organize file and work on alloc buffer
* Add webgpu_context to prepare for actually running some shaders
* Work on memset and add shader loading
* Work on memset polyfill
* Implement set_tensor as webgpu WriteBuffer, remove host_buffer stubs since webgpu doesn't support it
* Implement get_tensor and buffer_clear
* Finish rest of setup
* Start work on compute graph
* Basic mat mul working
* Work on emscripten build
* Basic WebGPU backend instructions
* Use EMSCRIPTEN flag
* Work on passing ci, implement 4d tensor multiplication
* Pass thread safety test
* Implement permuting for mul_mat and cpy
* minor cleanups
* Address feedback
* Remove division by type size in cpy op
* Fix formatting and add github action workflows for vulkan and metal (m-series) webgpu backends
* Fix name
* Fix macos dawn prefix path
* Simplify the environment variable setting to specify the memory pool type.
* Adjust the GGML_CANN_ASYNC_MODE setting to accept yes, enable, 1, or on (case-insensitive) as valid options.
* update
* fix CI
* update
* delete whitespace
* fix according to review
* update CANN.md
* update CANN.md
nullname
Giuseppe Scrivano
safranowith
Neo Zhang Jianyu
alex-spacemit
R0CKSTAR
Aaron Teo
hipudding
Chenguang Li
Diego Devesa
ExtReMLapin
tc-mb
Johannes Gäßler
rainred
Xinpeng Dou
lhez
Xuan-Son Nguyen
Georgi Gerganov
Ruben Ortlam
Akarshan Biswas
Aman Gupta
wooksong
Pouya
rspOverflow
Reese Levine
Grzegorz Grasza
Anton Mitkov
David Chiu
Pepijn de Vos
ddpasa