mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2026-03-17 16:44:07 +00:00
* 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>
228 lines
11 KiB
YAML
228 lines
11 KiB
YAML
# This workflow uses actions that are not certified by GitHub.
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# They are provided by a third-party and are governed by
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# separate terms of service, privacy policy, and support
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# documentation.
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# GitHub recommends pinning actions to a commit SHA.
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# To get a newer version, you will need to update the SHA.
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# You can also reference a tag or branch, but the action may change without warning.
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name: Publish Docker image
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on:
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workflow_dispatch: # allows manual triggering
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schedule:
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# Rebuild daily rather than on every push because it is expensive
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- cron: '12 4 * * *'
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concurrency:
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group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
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cancel-in-progress: true
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# Fine-grant permission
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# https://docs.github.com/en/actions/security-for-github-actions/security-guides/automatic-token-authentication#modifying-the-permissions-for-the-github_token
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permissions:
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packages: write
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jobs:
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push_to_registry:
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name: Push Docker image to Docker Hub
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runs-on: ${{ matrix.config.runs_on }}
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env:
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COMMIT_SHA: ${{ github.sha }}
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strategy:
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fail-fast: false
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matrix:
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config:
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# Multi-stage build
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# Note: the arm64 images are failing, which prevents the amd64 images from being built
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# https://github.com/ggml-org/llama.cpp/issues/11888
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#- { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/amd64,linux/arm64", full: true, light: true, server: true, free_disk_space: false }
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- { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-22.04" }
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- { tag: "cuda cuda12", dockerfile: ".devops/cuda.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true, runs_on: "ubuntu-22.04", cuda_version: "12.4.0", ubuntu_version: "22.04" }
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- { tag: "cuda13", dockerfile: ".devops/cuda-new.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true, runs_on: "ubuntu-22.04", cuda_version: "13.1.0", ubuntu_version: "24.04" }
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- { tag: "musa", dockerfile: ".devops/musa.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true, runs_on: "ubuntu-22.04" }
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- { tag: "intel", dockerfile: ".devops/intel.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true, runs_on: "ubuntu-22.04" }
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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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with:
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fetch-depth: 0 # preserve git history, so we can determine the build number
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- name: Set up QEMU
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if: ${{ matrix.config.tag != 's390x' }}
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uses: docker/setup-qemu-action@v3
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with:
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image: tonistiigi/binfmt:qemu-v7.0.0-28
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Log in to Docker Hub
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uses: docker/login-action@v3
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with:
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registry: ghcr.io
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username: ${{ github.repository_owner }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Determine source tag name
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id: srctag
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uses: ./.github/actions/get-tag-name
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env:
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BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
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- name: Determine image tag name
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id: tag
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shell: bash
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run: |
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REPO_OWNER="${GITHUB_REPOSITORY_OWNER@L}" # to lower case
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REPO_NAME="${{ github.event.repository.name }}"
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PREFIX="ghcr.io/${REPO_OWNER}/${REPO_NAME}:"
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# list all tags possible
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tags="${{ matrix.config.tag }}"
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for tag in $tags; do
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if [[ "$tag" == "cpu" ]]; then
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TYPE=""
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else
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TYPE="-$tag"
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fi
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CACHETAGS="${PREFIX}buildcache${TYPE}"
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FULLTAGS="${FULLTAGS:+$FULLTAGS,}${PREFIX}full${TYPE},${PREFIX}full${TYPE}-${{ steps.srctag.outputs.name }}"
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LIGHTTAGS="${LIGHTTAGS:+$LIGHTTAGS,}${PREFIX}light${TYPE},${PREFIX}light${TYPE}-${{ steps.srctag.outputs.name }}"
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SERVERTAGS="${SERVERTAGS:+$SERVERTAGS,}${PREFIX}server${TYPE},${PREFIX}server${TYPE}-${{ steps.srctag.outputs.name }}"
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done
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echo "cache_output_tags=$CACHETAGS" >> $GITHUB_OUTPUT
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echo "full_output_tags=$FULLTAGS" >> $GITHUB_OUTPUT
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echo "light_output_tags=$LIGHTTAGS" >> $GITHUB_OUTPUT
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echo "server_output_tags=$SERVERTAGS" >> $GITHUB_OUTPUT
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echo "cache_output_tags=$CACHETAGS" # print out for debugging
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echo "full_output_tags=$FULLTAGS" # print out for debugging
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echo "light_output_tags=$LIGHTTAGS" # print out for debugging
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echo "server_output_tags=$SERVERTAGS" # print out for debugging
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env:
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GITHUB_REPOSITORY_OWNER: '${{ github.repository_owner }}'
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- name: Free Disk Space (Ubuntu)
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if: ${{ matrix.config.free_disk_space == true }}
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uses: ggml-org/free-disk-space@v1.3.1
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with:
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# this might remove tools that are actually needed,
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# if set to "true" but frees about 6 GB
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tool-cache: false
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# all of these default to true, but feel free to set to
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# "false" if necessary for your workflow
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android: true
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dotnet: true
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haskell: true
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large-packages: true
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docker-images: true
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swap-storage: true
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- name: Build and push Full Docker image (tagged + versioned)
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if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.full == true }}
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uses: docker/build-push-action@v6
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with:
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context: .
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push: true
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platforms: ${{ matrix.config.platforms }}
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# tag list is generated from step above
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tags: ${{ steps.tag.outputs.full_output_tags }}
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file: ${{ matrix.config.dockerfile }}
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target: full
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provenance: false
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build-args: |
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${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
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${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
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# using github experimental cache
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#cache-from: type=gha
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#cache-to: type=gha,mode=max
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# return to this if the experimental github cache is having issues
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#cache-to: type=local,dest=/tmp/.buildx-cache
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#cache-from: type=local,src=/tmp/.buildx-cache
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# using registry cache (no storage limit)
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cache-from: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }}
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cache-to: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }},mode=max
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- name: Build and push Light Docker image (tagged + versioned)
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if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.light == true }}
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uses: docker/build-push-action@v6
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with:
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context: .
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push: true
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platforms: ${{ matrix.config.platforms }}
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# tag list is generated from step above
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tags: ${{ steps.tag.outputs.light_output_tags }}
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file: ${{ matrix.config.dockerfile }}
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target: light
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provenance: false
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build-args: |
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${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
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${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
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# using github experimental cache
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#cache-from: type=gha
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#cache-to: type=gha,mode=max
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# return to this if the experimental github cache is having issues
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#cache-to: type=local,dest=/tmp/.buildx-cache
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#cache-from: type=local,src=/tmp/.buildx-cache
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# using registry cache (no storage limit)
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cache-from: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }}
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cache-to: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }},mode=max
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- name: Build and push Server Docker image (tagged + versioned)
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if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.server == true }}
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uses: docker/build-push-action@v6
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with:
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context: .
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push: true
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platforms: ${{ matrix.config.platforms }}
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# tag list is generated from step above
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tags: ${{ steps.tag.outputs.server_output_tags }}
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file: ${{ matrix.config.dockerfile }}
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target: server
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provenance: false
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build-args: |
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${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
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${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
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# using github experimental cache
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#cache-from: type=gha
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#cache-to: type=gha,mode=max
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# return to this if the experimental github cache is having issues
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#cache-to: type=local,dest=/tmp/.buildx-cache
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#cache-from: type=local,src=/tmp/.buildx-cache
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# using registry cache (no storage limit)
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cache-from: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }}
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cache-to: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }},mode=max
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create_tag:
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name: Create and push git tag
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runs-on: ubuntu-22.04
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permissions:
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contents: write
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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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with:
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fetch-depth: 0
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- name: Determine source tag name
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id: srctag
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uses: ./.github/actions/get-tag-name
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env:
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BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
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- name: Create and push git tag
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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run: |
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git tag ${{ steps.srctag.outputs.name }} || exit 0
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git push origin ${{ steps.srctag.outputs.name }} || exit 0
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