ggml : add OpenVINO backend (#15307)
* Update build doc * Add cgraph tensor output name to OV op name * Update openvino build instructions * Add initial NPU support * draft NPU support version 2: prefill + kvcache * NPU support version 2: prefill + kvcache * Change due to ggml cgraph changes, not correct yet * Change due to ggml cgraph changes, llama-3.2 CPU work * Add AMD64 to CMakeLists * Change due to ggml cgraph changes, all device work * Refactor: clean, fix warning * Update clang-format * Statful transformation for CPU GPU * Add SwiGLU * Fuse to SDPA * Replace Concat with Broadcast in MulMat for GQA * Pull out indices creation for kv cache update * Refactor: remove past_token_len from extra_inputs * Fix Phi3 SwiGLU and SoftMax * Pull out sin cos from rope * Reduce memory: free ov weights node after graph conversion * Fix CPY due to cgraph change * Added OpenVINO CI/CD. Updated docs * Fix llama-cli * Fix Phi3 ROPE; Add test-backend-ops * Fix NPU * Fix llama-bench; Clang-format * Fix llama-perplexity * temp. changes for mark decomp * matmul in fp32 * mulmat input conversion fix * mulmat type conversion update * add mark decomp pass * Revert changes in fuse_to_sdpa * Update build.md * Fix test-backend-ops * Skip test-thread-safety; Run ctest only in ci/run.sh * Use CiD for NPU * Optimize tensor conversion, improve TTFT * Support op SET_ROWS * Fix NPU * Remove CPY * Fix test-backend-ops * Minor updates for raising PR * Perf: RMS fused to OV internal RMS op * Fix after rebasing - Layout of cache k and cache v are unified: [seq, n_head, head_size] - Add CPY and FLASH_ATTN_EXT, flash attn is not used yet - Skip test-backend-ops due to flash attn test crash - Add mutex around graph conversion to avoid test-thread-safety fali in the future - Update NPU config - Update GPU config to disable SDPA opt to make phi-3 run * Change openvino device_type to GPU; Enable flash_attn * Update supports_buft and supports_op for quantized models * Add quant weight conversion functions from genai gguf reader * Quant models run with accuracy issue * Fix accuracy: disable cpu_repack * Fix CI; Disable test-backend-ops * Fix Q4_1 * Fix test-backend-ops: Treat quantized tensors as weights * Add NPU Q4_0 support * NPU perf: eliminate zp * Dequantize q4_1 q4_k q6_k for NPU * Add custom quant type: q8_1_c, q4_0_128 * Set m_is_static=false as default in decoder * Simpilfy translation of get_rows * Fix after rebasing * Improve debug util; Eliminate nop ReshapeReshape * STYLE: make get_types_to_requant a function * Support BF16 model * Fix NPU compile * WA for npu 1st token acc issue * Apply EliminateZP only for npu * Add GeGLU * Fix Hunyuan * Support iSWA * Fix NPU accuracy * Fix ROPE accuracy when freq_scale != 1 * Minor: not add attention_size_swa for non-swa model * Minor refactor * Add Q5_K to support phi-3-q4_k_m * Requantize Q6_K (gs16) to gs32 on GPU * Fix after rebasing * Always apply Eliminate_ZP to fix GPU compile issue on some platforms * kvcachefusion support * env variable GGML_OPENVINO_DISABLE_SDPA_OPTIMIZATION added * Fix for Phi3 * Fix llama-cli (need to run with --no-warmup) * Fix add_sliced_mask; Revert mulmat, softmax; Remove input attention_size, iSWA model not working * fix after rebasing * Fix llama-3-8b and phi3-mini q4_0 NPU * Update to OV-2025.3 and CMakeLists.txt * Add OV CI cache * Apply CISC review and update CI to OV2025.3 * Update CI to run OV dep install before build * Update OV dockerfile to use OV2025.3 and update build docs * Style: use switch in supports_ops * Style: middle ptr and ref align, omit optional struct keyword * NPU Unify PD (#14) * Stateless. Fix llama-cli llama-server * Simplify broadcast op in attention * Replace get_output_tensor+memcpy with set_output_tensor * NPU unify PD. Unify dynamic and static dims * Clean placeholders in ggml-openvino.cpp * NPU unify PD (handled internally) * change graph to 4d, support multi sequences * Fix llama-bench * Fix NPU * Update ggml-decoder.cpp Hitting error while compiling on windows: error C3861: 'unsetenv': identifier not found Reason: unsetenv() is a POSIX function; it doesn’t exist on Windows. Visual Studio (MSVC) won’t recognize it. Proposed fix: Use _putenv_s() (Windows equivalent) This is supported by MSVC and achieves the same effect: it removes the environment variable from the process environment. This keeps cross-platform compatibility. * Update ggml-decoder.cpp * Update ggml-decoder.cpp * Update ggml-decoder.cpp * Update ggml-decoder.cpp * Update ggml-decoder.cpp * Remove the second decoder for node. Moving the function into the model decoder * Fix error for naive * NPU prefill chunking * NPU fix llama-bench * fallback naive run with accuracy issue * NPU support llma-perplexity -b 512 --no-warmup * Refactor: split ov_graph_compute for dynamic and static * remove unused API GgmlOvDecoder::get_output_stride(const std::string & name) * minor update due to ov 2025.4 * remove unused API GgmlOvDecoder::get_output_names() * remove unused API get_output_shape(const std::string & name) * Modified API GgmlOvDecoder::get_output_type(const std::string & name) * Removed API GgmlOvDecoder::get_output_op_params(const std::string & name) * Removed API get_output_ggml_tensor(const std::string & name) * Removed API m_outputs * Removed m_output_names * Removed API GgmlOvDecoder::get_input_names() * Removed API GgmlOvDecoder::get_input_stride(const std::string& name) * Removed API get_input_type * Removed API get_input_type * Removed API GgmlOvDecoder::get_input_shape(const std::string & name) * Removed API GgmlOvDecoder::get_input_op_params(const std::string & name) * Fix error for decoder cache * Reuse cached decoder * GPU remove Q6_K requantization * NPU fix wrong model output shape * NPU fix q4 perf regression * Remove unused variable nodes * Fix decoder can_reuse for llama-bench * Update build.md for Windows * backend buffer: allocate on host * Use shared_buffer for GPU NPU; Refactor * Add ov_backend_host_buffer; Use cached remote context * Put kvcache on GPU * Use ggml_aligned_malloc * only use remote tensor for kvcache * only use remote tensor for kvcache for GPU * FIX: use remote tensor from singleton * Update build.md to include OpenCL * NPU always requant to q4_0_128 * Optimize symmetric quant weight extraction: use single zp * Use Q8_0_C in token embd, lm_head, and for 5 and 6 bits quant * Update build.md * Support -ctk f32 * Initial stateful graph support * Update ggml/src/ggml-openvino/ggml-decoder.cpp Co-authored-by: Yamini Nimmagadda <yamini.nimmagadda@intel.com> * code cleanup * npu perf fix * requant to f16 for Q6 embed on NPU * Update ggml/src/ggml-openvino/ggml-decoder.cpp * Update ggml/src/ggml-openvino/ggml-openvino-extra.cpp * Create OPENVINO.md in llama.cpp backend docs * Update OPENVINO.md * Update OPENVINO.md * Update OPENVINO.md * Update build.md * Update OPENVINO.md * Update OPENVINO.md * Update OPENVINO.md * kq_mask naming fix * Syntax correction for workflows build file * Change ov backend buffer is_host to false * Fix llama-bench -p -n where p<=256 * Fix --direct-io 0 * Don't put kvcache on GPU in stateful mode * Remove hardcode names * Fix stateful shapes * Simplification for stateful and update output shape processing * Remove hardcode names * Avoid re-compilation in llama-bench * Extract zp directly instead of bias * Refactor weight tensor processing * create_weight_node accept non-ov backend buffer * remove changes in llama-graph.cpp * stateful masking fix (#38) Fix for stateful accuracy issues and cl_out_of_resources error in stateful GPU with larger context sizes. * Fix test-backend-ops crash glu, get_rows, scale, rms_norm, add * hardcoded name handling for rope_freqs.weight * Suppress logging and add error handling to allow test-backend-ops to complete * Fix MUL_MAT with broadcast; Add unsupported MUL_MAT FLASH_ATTN cases * Use bias instead of zp in test-backend-ops * Update OV in CI, Add OV CI Tests in GH Actions * Temp fix for multithreading bug * Update OV CI, fix review suggestions. * fix editorconfig-checker, update docs * Fix tabs to spaces for editorconfig-checker * fix editorconfig-checker * Update docs * updated model link to be GGUF model links * Remove GGML_CPU_REPACK=OFF * Skip permuted ADD and MUL * Removed static variables from utils.cpp * Removed initializing non-existing variable * Remove unused structs * Fix test-backend-ops for OV GPU * unify api calling * Update utils.cpp * When the dim is dynamic, throw an error, need to is stastic forst * Add interface compute_model_outputs(), which get the model output through computing the node use count & status in the cgraph to avoid the flag using * No need to return * Fix test-backend-ops for OV GPU LNL * Fix test-thread-safety * use the shape from infer request of output tensor create to avoid issue * fix dynamic output shape issue * fix issue for the unused node in tests * Remove unused lock * Add comment * Update openvino docs * update to OV release version 2026.0 * add ci ov-gpu self hosted runner * fix editorconfig * Fix perplexity * Rewrite the model inputs finding mechanism (#54) * Rewrite the model inputs finding logistic * Put stateful shape handle in get input shape * Put the iteration logistic in func * Added ggml-ci-intel-openvino-gpu and doc update * .hpp files converted to .h * fix ggml-ci-x64-intel-openvino-gpu * Fix for stateful execution bug in llama-bench * Minor updates after stateful llama-bench fix * Update ggml/src/ggml-openvino/utils.cpp Co-authored-by: Yamini Nimmagadda <yamini.nimmagadda@intel.com> * Remove multiple get_shape calls * Bring back mutex into compute * Fix VIEW op, which slice the input node * Added token_len_per_seq existence check before slicing masks and moved node retrieval inside guarded block to prevent missing-key access * Temp. fix for test requant errors * Update to OV ggml-ci to low-perf * ci : temporary disable "test-llama-archs" * ci : cache v4 -> v5, checkout v4 -> v6, fix runner tag * docs : update url * Fix OV link in docker and Update docs --------- Co-authored-by: Ravi Panchumarthy <ravi.panchumarthy@intel.com> Co-authored-by: Cavus Mustafa <mustafa.cavus@intel.com> Co-authored-by: Arshath <arshath.ramzan@intel.com> Co-authored-by: XuejunZhai <Xuejun.Zhai@intel.com> Co-authored-by: Yamini Nimmagadda <yamini.nimmagadda@intel.com> Co-authored-by: Xuejun Zhai <Xuejun.Zhai@intel> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
@@ -0,0 +1,25 @@
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name: "Linux - Setup OpenVINO Toolkit"
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description: "Setup OpenVINO Toolkit for Linux"
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inputs:
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path:
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description: "Installation path"
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required: true
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version_major:
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description: "OpenVINO major version (e.g., 2025.3)"
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required: true
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version_full:
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description: "OpenVINO full version (e.g., 2025.3.0.19807.44526285f24)"
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required: true
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runs:
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using: "composite"
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steps:
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- name: Setup OpenVINO Toolkit
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id: setup
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uses: ./.github/actions/unarchive-tar
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with:
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url: https://storage.openvinotoolkit.org/repositories/openvino/packages/${{ inputs.version_major }}/linux/openvino_toolkit_ubuntu24_${{ inputs.version_full }}_x86_64.tgz
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path: ${{ inputs.path }}
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type: z
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strip: 1
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@@ -63,6 +63,34 @@ jobs:
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path: ./spacemit_toolchain
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version: ${{ env.SPACEMIT_IME_TOOLCHAIN_VERSION }}
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ubuntu-24-openvino-cache:
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runs-on: ubuntu-24.04
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env:
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# Sync versions in build.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
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OPENVINO_VERSION_MAJOR: "2026.0"
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OPENVINO_VERSION_FULL: "2026.0.0.20965.c6d6a13a886"
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steps:
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- name: Clone
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id: checkout
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uses: actions/checkout@v6
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- name: Setup Cache
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uses: actions/cache@v5
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id: cache-openvino
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with:
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path: ./openvino_toolkit
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key: openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }}
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- name: Setup OpenVINO Toolkit
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if: steps.cache-openvino.outputs.cache-hit != 'true'
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uses: ./.github/actions/linux-setup-openvino
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with:
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path: ./openvino_toolkit
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version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
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version_full: ${{ env.OPENVINO_VERSION_FULL }}
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windows-2022-rocm-cache:
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runs-on: windows-2022
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@@ -744,6 +744,83 @@ jobs:
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-DGGML_SYCL_F16=ON
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cmake --build build --config Release -j $(nproc)
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ubuntu-24-cmake-openvino:
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name: ubuntu-24-cmake-openvino-${{ matrix.openvino_device }}
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strategy:
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matrix:
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include:
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- variant: cpu
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runner: '"ubuntu-24.04"'
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openvino_device: "CPU"
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- variant: gpu
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runner: '["self-hosted","Linux","X64","Intel"]'
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openvino_device: "GPU"
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runs-on: ${{ fromJSON(matrix.runner) }}
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env:
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# Sync versions in build.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
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OPENVINO_VERSION_MAJOR: "2026.0"
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OPENVINO_VERSION_FULL: "2026.0.0.20965.c6d6a13a886"
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steps:
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- name: Clone
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id: checkout
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uses: actions/checkout@v6
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- name: ccache
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uses: ggml-org/ccache-action@v1.2.16
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with:
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key: ubuntu-24-cmake-openvino-${{ matrix.variant }}-no-preset-v1
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evict-old-files: 1d
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- name: Dependencies
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id: depends
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run: |
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sudo apt-get update
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sudo apt-get install -y build-essential libssl-dev libtbb12 cmake ninja-build python3-pip
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sudo apt-get install -y ocl-icd-opencl-dev opencl-headers opencl-clhpp-headers intel-opencl-icd
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- name: Use OpenVINO Toolkit Cache
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uses: actions/cache@v5
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id: cache-openvino
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with:
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path: ./openvino_toolkit
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key: openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }}
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- name: Setup OpenVINO Toolkit
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if: steps.cache-openvino.outputs.cache-hit != 'true'
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uses: ./.github/actions/linux-setup-openvino
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with:
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path: ./openvino_toolkit
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version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
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version_full: ${{ env.OPENVINO_VERSION_FULL }}
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- name: Install OpenVINO dependencies
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run: |
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cd ./openvino_toolkit
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chmod +x ./install_dependencies/install_openvino_dependencies.sh
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echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh
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- name: Build
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id: cmake_build
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run: |
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source ./openvino_toolkit/setupvars.sh
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cmake -B build/ReleaseOV -G Ninja \
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-DCMAKE_BUILD_TYPE=Release \
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-DGGML_OPENVINO=ON
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cmake --build build/ReleaseOV --config Release -j $(nproc)
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- name: Test
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id: cmake_test
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# TODO: fix and re-enable the `test-llama-archs` test below
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run: |
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cd ${{ github.workspace }}
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if [ "${{ matrix.openvino_device }}" = "GPU" ]; then
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export GGML_OPENVINO_DEVICE=GPU
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fi
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ctest --test-dir build/ReleaseOV -L main -E "test-llama-archs" --verbose --timeout 2000
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build-linux-cross:
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uses: ./.github/workflows/build-linux-cross.yml
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@@ -1769,6 +1846,46 @@ jobs:
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run: |
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GG_BUILD_KLEIDIAI=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
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ggml-ci-x64-intel-openvino-gpu-low-perf:
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runs-on: [self-hosted, Linux, X64, Intel, OpenVINO]
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env:
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# Sync versions in build.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
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OPENVINO_VERSION_MAJOR: "2026.0"
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OPENVINO_VERSION_FULL: "2026.0.0.20965.c6d6a13a886"
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steps:
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- name: Clone
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id: checkout
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uses: actions/checkout@v6
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|
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- name: Use OpenVINO Toolkit Cache
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uses: actions/cache@v5
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id: cache-openvino
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with:
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path: ./openvino_toolkit
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key: openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }}
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- name: Setup OpenVINO Toolkit
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if: steps.cache-openvino.outputs.cache-hit != 'true'
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uses: ./.github/actions/linux-setup-openvino
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with:
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path: ./openvino_toolkit
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version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
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version_full: ${{ env.OPENVINO_VERSION_FULL }}
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- name: Install OpenVINO dependencies
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run: |
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cd ./openvino_toolkit
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chmod +x ./install_dependencies/install_openvino_dependencies.sh
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echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh
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- name: Test
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id: ggml-ci
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run: |
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source ./openvino_toolkit/setupvars.sh
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GG_BUILD_OPENVINO=1 GGML_OPENVINO_DEVICE=GPU GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt
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ubuntu-cpu-cmake-riscv64-native:
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runs-on: RISCV64
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|
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@@ -47,6 +47,7 @@ jobs:
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- { tag: "vulkan", dockerfile: ".devops/vulkan.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04" }
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- { tag: "s390x", dockerfile: ".devops/s390x.Dockerfile", platforms: "linux/s390x", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04-s390x" }
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- { tag: "rocm", dockerfile: ".devops/rocm.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true, runs_on: "ubuntu-22.04" }
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- { tag: "openvino", dockerfile: ".devops/openvino.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04" }
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steps:
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- name: Check out the repo
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uses: actions/checkout@v6
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@@ -231,6 +231,86 @@ jobs:
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path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz
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name: llama-bin-ubuntu-vulkan-x64.tar.gz
|
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|
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ubuntu-24-openvino:
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runs-on: ubuntu-24.04
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|
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outputs:
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openvino_version: ${{ steps.openvino_version.outputs.value }}
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|
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env:
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# Sync versions in build.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
|
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OPENVINO_VERSION_MAJOR: "2026.0"
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OPENVINO_VERSION_FULL: "2026.0.0.20965.c6d6a13a886"
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steps:
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- name: Set OpenVINO version output
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id: openvino_version
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run: echo "value=${{ env.OPENVINO_VERSION_MAJOR }}" >> $GITHUB_OUTPUT
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- name: Clone
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id: checkout
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uses: actions/checkout@v6
|
||||
with:
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fetch-depth: 0
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|
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- name: ccache
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uses: ggml-org/ccache-action@v1.2.16
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||||
with:
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||||
key: ubuntu-24-cmake-openvino-release-no-preset-v1
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evict-old-files: 1d
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|
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- name: Dependencies
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run: |
|
||||
sudo apt-get update
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sudo apt-get install -y build-essential libssl-dev libtbb12 cmake ninja-build python3-pip
|
||||
sudo apt install ocl-icd-opencl-dev opencl-headers opencl-clhpp-headers intel-opencl-icd
|
||||
|
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- name: Use OpenVINO Toolkit Cache
|
||||
uses: actions/cache@v5
|
||||
id: cache-openvino
|
||||
with:
|
||||
path: ./openvino_toolkit
|
||||
key: openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }}
|
||||
|
||||
- name: Setup OpenVINO Toolkit
|
||||
if: steps.cache-openvino.outputs.cache-hit != 'true'
|
||||
uses: ./.github/actions/linux-setup-openvino
|
||||
with:
|
||||
path: ./openvino_toolkit
|
||||
version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
|
||||
version_full: ${{ env.OPENVINO_VERSION_FULL }}
|
||||
|
||||
- name: Install OpenVINO dependencies
|
||||
run: |
|
||||
cd ./openvino_toolkit
|
||||
chmod +x ./install_dependencies/install_openvino_dependencies.sh
|
||||
echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh
|
||||
|
||||
- name: Build
|
||||
id: cmake_build
|
||||
run: |
|
||||
source ./openvino_toolkit/setupvars.sh
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||||
cmake -B build/ReleaseOV -G Ninja \
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||||
-DCMAKE_BUILD_TYPE=Release \
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-DGGML_OPENVINO=ON
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||||
cmake --build build/ReleaseOV --config Release -j $(nproc)
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||||
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||||
- name: Determine tag name
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||||
id: tag
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||||
uses: ./.github/actions/get-tag-name
|
||||
|
||||
- name: Pack artifacts
|
||||
id: pack_artifacts
|
||||
run: |
|
||||
cp LICENSE ./build/ReleaseOV/bin/
|
||||
tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-${{ env.OPENVINO_VERSION_MAJOR }}-x64.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/ReleaseOV/bin .
|
||||
|
||||
- name: Upload artifacts
|
||||
uses: actions/upload-artifact@v6
|
||||
with:
|
||||
path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-${{ env.OPENVINO_VERSION_MAJOR }}-x64.tar.gz
|
||||
name: llama-bin-ubuntu-openvino-${{ env.OPENVINO_VERSION_MAJOR }}-x64.tar.gz
|
||||
|
||||
windows-cpu:
|
||||
runs-on: windows-2025
|
||||
|
||||
@@ -883,6 +963,7 @@ jobs:
|
||||
- ubuntu-22-rocm
|
||||
- ubuntu-22-cpu
|
||||
- ubuntu-22-vulkan
|
||||
- ubuntu-24-openvino
|
||||
- macOS-arm64
|
||||
- macOS-x64
|
||||
- ios-xcode-build
|
||||
@@ -967,6 +1048,7 @@ jobs:
|
||||
- [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz)
|
||||
- [Ubuntu x64 (ROCm 7.2)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-7.2-x64.tar.gz)
|
||||
- [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-s390x.tar.gz)
|
||||
- [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-${{ needs.ubuntu-24-openvino.outputs.openvino_version }}-x64.tar.gz)
|
||||
|
||||
**Windows:**
|
||||
- [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cpu-x64.zip)
|
||||
|
||||
Reference in New Issue
Block a user