Update Dockerfile to work with DGX Spark#1624

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yeldarby wants to merge 34 commits intomainfrom

dgx-spark-docker-build

Commits on Oct 15, 2025

Backup: WIP CUDA 13 docker build with uv, xformers, and flash-attention
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Fix ONNX Runtime build: disable unit tests to avoid C++ ABI compilation errors
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Use system Eigen to avoid download failures during ONNX Runtime build
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Add eigen_path parameter for preinstalled eigen
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Upgrade to ONNX Runtime 1.21.0 and remove system Eigen to fix compatibility issues
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Use ONNX Runtime main branch for latest CUDA 13 and prototype hardware fixes
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Upgrade to CUDA 13.0.1, PyTorch 2.9.0 with cu130, and fix uv symlink issue
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Fix CUDA 13 build: add -Wno-psabi, use Ninja generator, proper compute capability for DGX Spark
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Add CUDA include path to fix missing cuda/std/utility header
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Fix CUDA fp4 unused parameter warnings by adding -Wno-unused-parameter
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Use CPATH env var to ensure CUDA headers are found by all compilers
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Simplify build config: remove CPATH, NHWC ops, use binskim flags like working CUDA 13 example
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Commits on Oct 16, 2025

Use Release config instead of RelWithDebInfo to avoid NVCC optimization flag conflicts
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Add back enable_cuda_nhwc_ops and NVCC relaxed flags for CUDA compilation
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Use exact working CUDA 13 build config from GitHub PR, only changing paths and compute capability
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Fix CUDA 13 CCCL header paths for CUTLASS compilation
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Install CCCL headers directly from NVIDIA repository
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Fix CCCL installation for CUDA 13.0 base image
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Fix CUTLASS cuda/std header dependencies
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Fix PEP 668 externally-managed-environment error
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Remove invalid --system flag from pip commands
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Add --force-reinstall to pip upgrade command
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Skip pip upgrade to avoid Debian package conflict
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Replace uv pip with standard pip throughout Dockerfile
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Restore uv in builder stage, keep regular pip in runtime stage
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Remove references to non-existent CLI and SDK wheels
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Add CLI and SDK wheel building and installation
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Commits on Oct 19, 2025