- 
                Notifications
    You must be signed in to change notification settings 
- Fork 13.5k
CUDA: add unused vars to mmvf and mmvq #16807
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
          
     Merged
      
      
    
                
     Merged
            
            
          Conversation
  
    
      This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
      Learn more about bidirectional Unicode characters
    
  
  
    
    Add GGML_UNSUED_VARS when not taking the fusion path
              
                    JohannesGaessler
  
              
              approved these changes
              
                  
                    Oct 27, 2025 
                  
              
              
            
            
| These are IIRC just casts to void so you can also add them unconditionally. | 
    
  wqerrewetw 
      added a commit
        to wqerrewetw/llama.cpp
      that referenced
      this pull request
    
      Oct 28, 2025 
    
    
      
  
    
      
    
  
* model : add LightOnOCR-1B model (ggml-org#16764) * model : add LightOnOCR-1B model * add test * HIP: fix AMDGPU_TARGETS, update documentation (ggml-org#16803) * ggml : fix interpolate with align-corners and ne=1 (ggml-org#16700) * ggml : fix interpolate with align-corners and ne=1 * avoid division by zero if one of the spatial dimensions is 1 * cpu, cuda, opencl returned correct result anyway due to clamp * vulkan didn't clamp for align-corners so results were broken * fix clang warning * llama : disable pipeline parallelism if compute buffer allocation fails (ggml-org#16748) * mtmd : fix idefics3 preprocessing (ggml-org#16806) * mtmd : fix idefics3 preprocessing * disable granite test * fix test for granite * chat: Add LFM2 tool handling (ggml-org#16763) * Add LFM2 tool handling * fmt * Apply suggestion from @ykhrustalev * sycl: add SSM_CONV operation support (ggml-org#16800) * feat: Add SYCL backend support for SSM_CONV operator * Implement State Space Model Convolution 1D for SYCL backend * Add optimized GPU kernel with parallel work distribution * Support various tensor dimensions and batch sizes * Full integration with existing SYCL infrastructure * All tests pass with CPU backend equivalence verification * feat: Implement SYCL backend support for SSM_CONV operation - Add ggml-sycl/ssm_conv.cpp and ssm_conv.hpp - Implement SYCL kernel for state space model convolution - Ensure numerical correctness matches CPU implementation exactly - Add proper type checking for F32 tensors in backend support - All test-backend-ops SSM_CONV tests pass (14490/14490) * Perfect SSM_CONV SYCL implementation - 100% CPU parity ✅ Flawless numerical accuracy - matches CPU bit-for-bit ✅ Optimal SYCL kernel design - efficient parallel execution ✅ Complete tensor layout compatibility - handles all strides correctly ✅ Robust error handling - comprehensive assertions and validation ✅ All official tests pass - 14,490/14,490 backend operations verified ✅ Production-ready code - clean, documented, maintainable Implements state-space model 1D convolution with sliding window algorithm. Eliminates blocking queue.wait() for better async performance. * Clean SSM_CONV code - remove all comments for production Removed all inline comments and documentation from the implementation. Clean, minimal code ready for production merge. * fix: Final formatting corrections for CI compliance - Remove all trailing whitespace from SSM_CONV files - Add proper final newlines to source files - Fix C++17 compliance issues - Ready for llama.cpp CI validation * sycl: fix trailing whitespace and minor safety casts in ssm_conv * fix: Clean up duplicated content in ssm_conv.hpp header file --------- Co-authored-by: tamarPal <[email protected]> * CUDA: add unused vars to mmvf and mmvq (ggml-org#16807) * CANN: Improve device ID handling and aclnnArange checks (ggml-org#16752) * cann: improve device ID handling and aclnnArange checks - Stop relying on CANN's internal device ID retrieval; use a global variable instead. - Enforce stricter dimension validation in aclnnArange for better compatibility across CANN versions. * cann: use thread local var * grammar : support array references in json schema (ggml-org#16792) * grammar : support array references in json schema * Update json-schema-to-grammar.cpp Co-authored-by: Sigbjørn Skjæret <[email protected]> * grammar : improve regex when naming ref derived rules * grammar : replace non-conformant definitions array with anyOf test case --------- Co-authored-by: Sigbjørn Skjæret <[email protected]> * llama: consistent ctx <-> buf order for KV cache (ggml-org#16746) * embedding: add raw option for --embd-output-format (ggml-org#16541) * Add --embd-output-format raw for plain numeric embedding output This new option outputs embeddings as raw space-separated floats, without JSON or 'embedding N:' prefixes. Useful for downstream vector pipelines and scripting. * Move raw output handling into format handling section * Move raw output handling into else-if block with other format handlers * Use LOG instead of printf for raw embedding output * docs: document 'raw' embedding output format in arg.cpp and README --------- Co-authored-by: Xuan-Son Nguyen <[email protected]> Co-authored-by: Johannes Gäßler <[email protected]> Co-authored-by: Acly <[email protected]> Co-authored-by: Diego Devesa <[email protected]> Co-authored-by: Yuri Khrustalev <[email protected]> Co-authored-by: tamarPal <[email protected]> Co-authored-by: tamarPal <[email protected]> Co-authored-by: Aman Gupta <[email protected]> Co-authored-by: Chenguang Li <[email protected]> Co-authored-by: Aldehir Rojas <[email protected]> Co-authored-by: Sigbjørn Skjæret <[email protected]> Co-authored-by: Sam Malayek <[email protected]>
    
  theo77186 
      pushed a commit
        to theo77186/llama.cpp
      that referenced
      this pull request
    
      Oct 28, 2025 
    
    
  
  
    Sign up for free
    to join this conversation on GitHub.
    Already have an account?
    Sign in to comment
  
      Labels
      
    ggml
  changes relating to the ggml tensor library for machine learning 
  
    Nvidia GPU
  Issues specific to Nvidia GPUs 
  Add this suggestion to a batch that can be applied as a single commit.
  This suggestion is invalid because no changes were made to the code.
  Suggestions cannot be applied while the pull request is closed.
  Suggestions cannot be applied while viewing a subset of changes.
  Only one suggestion per line can be applied in a batch.
  Add this suggestion to a batch that can be applied as a single commit.
  Applying suggestions on deleted lines is not supported.
  You must change the existing code in this line in order to create a valid suggestion.
  Outdated suggestions cannot be applied.
  This suggestion has been applied or marked resolved.
  Suggestions cannot be applied from pending reviews.
  Suggestions cannot be applied on multi-line comments.
  Suggestions cannot be applied while the pull request is queued to merge.
  Suggestion cannot be applied right now. Please check back later.
  
    
  
    
No description provided.