fix(onnxruntime): correct patch context for v1.24.2 (port-version 5)#129
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The patch in tetherto#126 was generated against the upstream main branch where the surrounding code uses SetRawDataInTensorProto(). In v1.24.2 the actual code uses result.set_raw_data(). Fix the context lines and line numbers so the patch applies cleanly. Made-with: Cursor
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Updates the qvac-fabric port to upstream tag v8189.0.1 (commit 739b309ae, the SSH-resigned tip of temp-8189). Refreshes the source tarball SHA512, resets port-version to 0, and bumps the baseline plus per-version manifest. The portfile bug-fix for BUILD_LLAMA=OFF introduced in tetherto#136 (port-version 1) is preserved. What's new in v8189.0.1 over v8189.0.0: - Inject enable_thinking into the Jinja template context so models like Qwen 3.5 and Gemma 4 actually emit reasoning content (tetherto/qvac-fabric-llm.cpp#128). - Add GGML_OP_DELTA_NET_AR Vulkan compute shader + dispatch path (tetherto#129) so Vulkan no longer falls back to CPU per token on Qwen 3.5 / DeltaNet decode. - vulkan: Force f32 src1 through the strided cpy path to fix an embedding-model crash (tetherto#130). Co-authored-by: Cursor <cursoragent@cursor.com>
jpgaribotti
pushed a commit
that referenced
this pull request
May 8, 2026
Updates the qvac-fabric port to upstream tag v8189.0.1 (commit 739b309ae, the SSH-resigned tip of temp-8189). Refreshes the source tarball SHA512, resets port-version to 0, and bumps the baseline plus per-version manifest. The portfile bug-fix for BUILD_LLAMA=OFF introduced in #136 (port-version 1) is preserved. What's new in v8189.0.1 over v8189.0.0: - Inject enable_thinking into the Jinja template context so models like Qwen 3.5 and Gemma 4 actually emit reasoning content (tetherto/qvac-fabric-llm.cpp#128). - Add GGML_OP_DELTA_NET_AR Vulkan compute shader + dispatch path (#129) so Vulkan no longer falls back to CPU per token on Qwen 3.5 / DeltaNet decode. - vulkan: Force f32 src1 through the strided cpy path to fix an embedding-model crash (#130).
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The patch in #126 was generated against the upstream main branch where the surrounding code uses SetRawDataInTensorProto(). In v1.24.2 the actual code uses result.set_raw_data(). Fix the context lines and line numbers so the patch applies cleanly.