From 48d399d676feecee4befc322aedb85783ddcb08b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=8D=9A=E6=83=9F?= Date: Wed, 28 Jan 2026 18:09:39 +0800 Subject: [PATCH 1/3] ci(docker): add DeepSeek-V3 kernels and modernize tooling Enhance Docker image with DeepSeek-V3 optimization packages (FlashMLA, DeepGEMM, DeepEP, flash-linear-attention) to enable MoE training with optimal performance on Hopper GPUs. Also modernize development tooling and resolve dependency conflicts. Dockerfile changes: - Add FlashMLA, DeepGEMM, DeepEP, flash-linear-attention for DeepSeek-V3 - Replace nvm with fnm (Fast Node Manager) for faster Node.js setup - Move Node.js/npm tooling to STAGE 2.5 after CUDA compilation - Add AI coding tools: opencode, @openai/codex, @google/gemini-cli Dependency changes: - Add torchao>=0.15.0 for PyTorch quantization and optimization - Add claude-agent-sdk for Claude Agent SDK integration - Replace litellm + litellm-proxy-extras with litellm[proxy]>=1.81.3 to resolve uvicorn version conflict - Add openai and soundfile to override-dependencies Validation and documentation: - Add DeepSeek-V3 package tests to validate_docker_installation.py - Document GPU requirements (SM90+ for FlashMLA/DeepGEMM, SM80+ for DeepEP) --- Dockerfile | 59 ++- areal/tools/validate_docker_installation.py | 99 +++++ docs/tutorial/installation.md | 27 ++ pyproject.toml | 81 ++-- uv.lock | 403 +++++++++++++++++--- 5 files changed, 567 insertions(+), 102 deletions(-) diff --git a/Dockerfile b/Dockerfile index 8e820742d9..ef80f6ec2f 100644 --- a/Dockerfile +++ b/Dockerfile @@ -8,6 +8,7 @@ ENV DEBIAN_FRONTEND=noninteractive RUN apt-get update && apt-get install -y --no-install-recommends \ ca-certificates \ net-tools \ + unzip \ kmod \ ccache \ cmake \ @@ -53,18 +54,6 @@ ENV MAX_JOBS=32 # Set VIRTUAL_ENV so uv pip install targets the venv created below ENV VIRTUAL_ENV=/AReaL/.venv -# Install Node.js via nvm and Claude Code -ENV NVM_DIR=/root/.nvm -ENV NODE_VERSION=22 -RUN curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.1/install.sh | bash \ - && . "$NVM_DIR/nvm.sh" \ - && nvm install $NODE_VERSION \ - && nvm use $NODE_VERSION \ - && nvm alias default $NODE_VERSION \ - && npm install -g npm@latest \ - && curl -fsSL https://claude.ai/install.sh | bash -ENV PATH="$NVM_DIR/versions/node/v$NODE_VERSION/bin:/root/.local/bin:$PATH" - ############################################################## # STAGE 1: Install base torch FIRST # Torch rarely changes and is needed for C++ compilation @@ -112,6 +101,52 @@ RUN git clone https://github.com/Dao-AILab/flash-attention -b v2.8.3 /flash-atte && touch $VIRTUAL_ENV/lib/python3.12/site-packages/flash_attn_3/__init__.py \ && rm -rf /flash-attention +# FlashMLA (Multi-head Latent Attention for DeepSeek-V3) +RUN git clone https://github.com/deepseek-ai/FlashMLA.git /flash-mla \ + && cd /flash-mla \ + && git submodule update --init --recursive \ + && uv pip install -v . --no-build-isolation \ + && rm -rf /flash-mla + +# DeepGEMM (FP8 GEMM library for DeepSeek-V3) +RUN git clone https://github.com/deepseek-ai/DeepGEMM /DeepGEMM \ + && cd /DeepGEMM \ + && git submodule update --init --recursive \ + && uv pip install . --no-build-isolation \ + && rm -rf /DeepGEMM + +# DeepEP (Expert Parallelism communication library for MoE) +# Note: TORCH_CUDA_ARCH_LIST="9.0" enables SM90 features and aggressive PTX instructions +# The NVSHMEM path is auto-detected from nvidia.nvshmem module installed above +RUN git clone https://github.com/deepseek-ai/DeepEP /DeepEP \ + && cd /DeepEP \ + && TORCH_CUDA_ARCH_LIST="9.0 9.0a" uv pip install -v . --no-build-isolation \ + && rm -rf /DeepEP + +# flash-linear-attention (pure Triton kernels, no CUDA extensions) +RUN git clone https://github.com/fla-org/flash-linear-attention /flash-linear-attention \ + && cd /flash-linear-attention \ + && uv pip install -v . \ + && rm -rf /flash-linear-attention + +############################################################## +# STAGE 2.5: Install Node.js and npm-based tools +############################################################## + +# Install Node.js via fnm and Claude Code +ENV FNM_DIR=/root/.fnm +ENV NODE_VERSION=24.13.0 +ENV PATH="$FNM_DIR/aliases/default/bin:/root/.local/bin:$PATH" +RUN curl -fsSL https://fnm.vercel.app/install | bash -s -- --install-dir "$FNM_DIR" --skip-shell \ + && eval "$($FNM_DIR/fnm env --shell bash)" \ + && $FNM_DIR/fnm install $NODE_VERSION \ + && $FNM_DIR/fnm default $NODE_VERSION \ + && npm install -g npm@latest \ + && curl -fsSL https://claude.ai/install.sh | bash \ + && curl -fsSL https://opencode.ai/install | bash \ + && npm install -g @openai/codex \ + && npm install -g @google/gemini-cli + ############################################################## # STAGE 3: Install project dependencies from pyproject.toml # Changes to pyproject.toml/uv.lock will invalidate from here diff --git a/areal/tools/validate_docker_installation.py b/areal/tools/validate_docker_installation.py index 0b34491122..1c20e141a2 100755 --- a/areal/tools/validate_docker_installation.py +++ b/areal/tools/validate_docker_installation.py @@ -5,6 +5,13 @@ This script validates dependencies in the Docker environment, which includes additional packages (grouped_gemm, apex, transformer_engine, flash_attn_3) and flash-attn version 2.8.1 (installed separately in Dockerfile). + +Also validates DeepSeek-V3 related packages: +- FlashMLA: Multi-head Latent Attention (requires SM90+ GPU) +- DeepGEMM: FP8 GEMM library (requires SM90+ GPU) +- DeepEP: Expert Parallelism communication (requires SM80+ GPU) +- flash-linear-attention (fla): Linear attention with Triton kernels +- NVSHMEM: Required for DeepEP internode features """ import sys @@ -29,6 +36,12 @@ class DockerInstallationValidator(BaseInstallationValidator): "megatron.core.parallel_state", "megatron.core.tensor_parallel", ], + # DeepSeek-V3 related packages + "flash_mla": ["flash_mla"], + "deep_gemm": ["deep_gemm"], + "deep_ep": ["deep_ep"], + "fla": ["fla.ops", "fla.layers", "fla.modules"], + "nvidia-nvshmem-cu12": ["nvidia.nvshmem"], } # Add Docker-specific packages to critical list @@ -42,6 +55,8 @@ class DockerInstallationValidator(BaseInstallationValidator): "sglang", "megatron-core", "mbridge", + # DeepSeek-V3 related packages (fla is critical as it works on all GPUs) + "fla", } def __init__(self, pyproject_path: Path | None = None): @@ -67,6 +82,17 @@ def parse_pyproject(self): self.add_additional_package("megatron-core", "==0.13.1", required=True) self.add_additional_package("mbridge", "==0.13.0", required=True) + # Add DeepSeek-V3 related packages (installed in Dockerfile, not pyproject.toml) + self.add_additional_package("flash_mla", required=False) # SM90+ only + self.add_additional_package("deep_gemm", required=False) # SM90+ only + self.add_additional_package("deep_ep", required=False) # SM80+ only + self.add_additional_package( + "fla", required=True + ) # Pure Triton, works everywhere + self.add_additional_package( + "nvidia-nvshmem-cu12", required=False + ) # DeepEP internode + def test_cuda_functionality(self): """Run CUDA functionality tests including Docker-specific packages.""" super().test_cuda_functionality() @@ -148,6 +174,79 @@ def test_cuda_functionality(self): except Exception as e: print(f"⚠ Grouped GEMM test failed: {e}") + print("\n=== DeepSeek-V3 Package Tests ===") + + # Test FlashMLA (requires SM90+ GPU) + try: + from flash_mla import flash_mla_with_kvcache, get_mla_metadata # noqa: F401 + + print( + "✓ FlashMLA imported successfully " + "(functions: get_mla_metadata, flash_mla_with_kvcache)" + ) + except ImportError: + print("⚠ FlashMLA not available (requires SM90+ GPU)") + except Exception as e: + print(f"⚠ FlashMLA import failed: {e}") + + # Test DeepGEMM (requires SM90+ GPU) + try: + import deep_gemm + + num_sms = deep_gemm.get_num_sms() + print(f"✓ DeepGEMM imported successfully (detected {num_sms} SMs)") + except ImportError: + print("⚠ DeepGEMM not available (requires SM90+ GPU)") + except Exception as e: + print(f"⚠ DeepGEMM test failed: {e}") + + # Test DeepEP (requires SM80+ GPU and NVSHMEM) + try: + from deep_ep import Buffer, EventOverlap # noqa: F401 + + print("✓ DeepEP imported successfully (classes: Buffer, EventOverlap)") + except ImportError: + print("⚠ DeepEP not available (requires SM80+ GPU and NVSHMEM)") + except Exception as e: + print(f"⚠ DeepEP import failed: {e}") + + # Test NVSHMEM (dependency for DeepEP internode features) + try: + import nvidia.nvshmem # noqa: F401 + + print("✓ NVSHMEM imported successfully") + except ImportError: + print("⚠ NVSHMEM not available (optional, for DeepEP internode features)") + except Exception as e: + print(f"⚠ NVSHMEM import failed: {e}") + + # Test flash-linear-attention (fla) with actual layer instantiation + try: + import fla # noqa: F401 + import torch + from fla.layers import MultiScaleRetention + + if torch.cuda.is_available(): + device, dtype = "cuda:0", torch.bfloat16 + retnet = MultiScaleRetention(hidden_size=1024, num_heads=4).to( + device=device, dtype=dtype + ) + x = torch.randn(1, 64, 1024, device=device, dtype=dtype) + y, *_ = retnet(x) + assert y.shape == x.shape, f"Shape mismatch: {y.shape} != {x.shape}" + print( + "✓ flash-linear-attention (fla) - MultiScaleRetention forward pass OK" + ) + else: + print( + "✓ flash-linear-attention (fla) imported successfully " + "(CUDA not available for layer test)" + ) + except ImportError: + print("⚠ flash-linear-attention (fla) not available") + except Exception as e: + print(f"⚠ flash-linear-attention (fla) test failed: {e}") + def get_validation_title(self) -> str: """Get the title for validation output.""" return "AReaL Docker Installation Validation" diff --git a/docs/tutorial/installation.md b/docs/tutorial/installation.md index 5ce2debfaf..b60ff1b12c 100644 --- a/docs/tutorial/installation.md +++ b/docs/tutorial/installation.md @@ -132,6 +132,33 @@ fused Adam kernel), install them manually after running `uv sync --extra cuda`: the already-installed PyTorch for CUDA compilation. Install PyTorch first via `uv sync --extra cuda` before attempting to install these packages. +### DeepSeek-V3 Optimization Packages (Optional) + +For running DeepSeek-V3 style MoE models with optimal performance, the Docker image also +includes the following packages. These packages have complex build requirements and GPU +architecture constraints. **Refer to the +[Dockerfile](https://github.com/inclusionAI/AReaL/blob/main/Dockerfile) for the exact +installation commands and environment variables.** + +| Package | Purpose | GPU Requirement | +| ---------------------- | ------------------------------------------- | --------------- | +| FlashMLA | Multi-head Latent Attention kernels | SM90+ (Hopper) | +| DeepGEMM | FP8 GEMM library for MoE | SM90+ (Hopper) | +| DeepEP | Expert Parallelism communication library | SM80+ (Ampere) | +| flash-linear-attention | Linear attention with Triton kernels | Any GPU | +| NVSHMEM | Required for DeepEP internode communication | Any GPU | + +**Notes**: + +- FlashMLA and DeepGEMM require Hopper (H100/H800) or newer GPUs. +- DeepEP requires NVSHMEM for internode and low-latency features. The Docker image + installs `nvidia-nvshmem-cu12` via pip, which DeepEP auto-detects. +- flash-linear-attention uses pure Triton kernels and works on any GPU. +- These packages are cloned from GitHub and compiled during Docker build. For manual + installation, ensure git submodules are initialized + (`git submodule update --init --recursive`) for FlashMLA and DeepGEMM as they depend + on CUTLASS. + 5. Validate your AReaL installation: We provide a script to validate your AReaL installation. Simply run: diff --git a/pyproject.toml b/pyproject.toml index 971f89a857..73c1278805 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -40,6 +40,7 @@ classifiers = [ dependencies = [ # Core ML/AI libraries "torch>=2.9.1,<2.10", + "torchao>=0.15.0", "torchaudio", "torchvision", "torchdata", @@ -50,8 +51,8 @@ dependencies = [ "qwen_agent", "openai-agents", "anthropic", - "litellm", - "litellm-proxy-extras", + "claude-agent-sdk", + "litellm[proxy]>=1.81.3", "openhands", # Visualization @@ -113,7 +114,7 @@ dependencies = [ # Web frameworks "fastapi>=0.115.12", - "uvicorn>=0.34.2", + "uvicorn", "uvloop>=0.21.0", "flask", "tenacity", @@ -132,24 +133,19 @@ dependencies = [ sglang = [ "sglang[tracing]==0.5.7; sys_platform == 'linux' and platform_machine == 'x86_64'", ] - vllm = [ "vllm==0.14.0; sys_platform == 'linux' and platform_machine == 'x86_64'", ] - tms = [ "torch_memory_saver==0.0.9; sys_platform == 'linux'", ] - flash-attn = [ "flash-attn==2.8.1; sys_platform == 'linux' and platform_machine == 'x86_64'", ] - megatron = [ "megatron-core==0.13.1; sys_platform == 'linux' and platform_machine == 'x86_64'", "mbridge==0.13.0; sys_platform == 'linux' and platform_machine == 'x86_64'", ] - # Convenience extra for all CUDA packages (requires Linux x86_64 with CUDA) cuda = [ "areal[vllm]", @@ -158,7 +154,6 @@ cuda = [ "areal[megatron]", "areal[flash-attn]", ] - # 'all' extra - kept for compatibility, CUDA packages skipped on non-Linux via markers all = [ "areal[cuda]", @@ -170,8 +165,28 @@ all = [ "Documentation" = "https://inclusionai.github.io/AReaL/intro.html" "Bug Tracker" = "https://github.com/inclusionAI/AReaL/issues" -[tool.uv.extra-build-dependencies] -flash-attn = ["torch>=2.9.1,<2.10"] +[dependency-groups] +dev = [ + "pytest", + "pytest-asyncio", + "ipython", + "ruff==0.14.9", + "clang-format==19.1.7", + "sh", + "mdformat==0.7.17", + "mdformat-gfm", + "mdformat-tables", + "mdformat-frontmatter", + "plotly", + "pre-commit", + "sphinx", + "sphinx-nefertiti", + "jupyter-book<2", +] + +# ============================================================================= +# Tool configurations: setuptools +# ============================================================================= [tool.setuptools.dynamic] version = {attr = "areal.__version__"} @@ -181,6 +196,10 @@ where = ["."] include = ["areal*"] exclude = ["tests*", "docs*", "examples*", "evaluation*"] +# ============================================================================= +# Tool configurations: uv +# ============================================================================= + [tool.uv] # Restrict lock file resolution to supported environments # This prevents uv from failing when CUDA-only packages don't have wheels for macOS @@ -190,8 +209,10 @@ environments = [ "sys_platform == 'darwin' and platform_machine == 'arm64'", "sys_platform == 'darwin' and platform_machine == 'x86_64'", ] - -override-dependencies=[ +override-dependencies = [ + "torchao>=0.15.0", + "openai>2.6.1", + "soundfile>=0.12.1,<0.13.0", "outlines-core==0.1.26", "grpcio>=1.76.0", "grpcio-reflection>=1.76.0", @@ -199,24 +220,12 @@ override-dependencies=[ "llguidance >= 1.3.0, < 1.4.0; platform_machine == 'x86_64' or platform_machine == 'arm64' or platform_machine == 'aarch64' or platform_machine == 's390x' or platform_machine == 'ppc64le'", ] -[dependency-groups] -dev = [ - "pytest", - "pytest-asyncio", - "ipython", - "ruff==0.14.9", - "clang-format==19.1.7", - "sh", - "mdformat==0.7.17", - "mdformat-gfm", - "mdformat-tables", - "mdformat-frontmatter", - "plotly", - "pre-commit", - "sphinx", - "sphinx-nefertiti", - "jupyter-book<2", -] +[tool.uv.extra-build-dependencies] +flash-attn = ["torch>=2.9.1,<2.10"] + +# ============================================================================= +# Tool configurations: pytest +# ============================================================================= [tool.pytest.ini_options] pythonpath = ["."] @@ -234,6 +243,10 @@ markers = [ "multi_gpu: mark test that uses more than one GPU", ] +# ============================================================================= +# Tool configurations: ruff +# ============================================================================= + [tool.ruff] line-length = 88 target-version = "py312" @@ -250,9 +263,6 @@ ignore = [ "E501", # E501 Line too long ] -[tool.ruff.lint.isort.sections] -"areal" = ["areal"] - [tool.ruff.lint.isort] section-order = [ "future", @@ -263,3 +273,6 @@ section-order = [ "local-folder", ] from-first = false + +[tool.ruff.lint.isort.sections] +"areal" = ["areal"] diff --git a/uv.lock b/uv.lock index 0d9e1eb5f0..aeac2f563e 100644 --- a/uv.lock +++ b/uv.lock @@ -19,7 +19,10 @@ overrides = [ { name = "grpcio", specifier = ">=1.76.0" }, { name = "grpcio-reflection", specifier = ">=1.76.0" }, { name = "llguidance", marker = "platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'ppc64le' or platform_machine == 's390x' or platform_machine == 'x86_64'", specifier = ">=1.3.0,<1.4.0" }, + { name = "openai", specifier = ">2.6.1" }, { name = "outlines-core", specifier = "==0.1.26" }, + { name = "soundfile", specifier = ">=0.12.1,<0.13.0" }, + { name = "torchao", specifier = ">=0.15.0" }, { name = "xgrammar", marker = "platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'ppc64le' or platform_machine == 's390x' or platform_machine == 'x86_64'", specifier = "==0.1.29" }, ] @@ -227,6 +230,18 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/81/29/5ecc3a15d5a33e31b26c11426c45c501e439cb865d0bff96315d86443b78/appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c", size = 4321, upload-time = "2024-02-06T09:43:09.663Z" }, ] +[[package]] +name = "apscheduler" +version = "3.11.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "tzlocal", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/07/12/3e4389e5920b4c1763390c6d371162f3784f86f85cd6d6c1bfe68eef14e2/apscheduler-3.11.2.tar.gz", hash = "sha256:2a9966b052ec805f020c8c4c3ae6e6a06e24b1bf19f2e11d91d8cca0473eef41", size = 108683, upload-time = "2025-12-22T00:39:34.884Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9f/64/2e54428beba8d9992aa478bb8f6de9e4ecaa5f8f513bcfd567ed7fb0262d/apscheduler-3.11.2-py3-none-any.whl", hash = "sha256:ce005177f741409db4e4dd40a7431b76feb856b9dd69d57e0da49d6715bfd26d", size = 64439, upload-time = "2025-12-22T00:39:33.303Z" }, +] + [[package]] name = "areal" source = { editable = "." } @@ -236,6 +251,7 @@ dependencies = [ { name = "anthropic", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "blosc", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "build", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "claude-agent-sdk", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "colorama", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "colorlog", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "cookiecutter", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, @@ -251,8 +267,7 @@ dependencies = [ { name = "hydra-core", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "json5", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "lark", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "litellm", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "litellm-proxy-extras", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "litellm", extra = ["proxy"], marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "math-verify", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "mathruler", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "matplotlib", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, @@ -294,6 +309,7 @@ dependencies = [ { name = "tensorboardx", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "timeout-decorator", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "torch", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torchao", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "torchaudio", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, 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a/areal/tools/validate_docker_installation.py b/areal/tools/validate_docker_installation.py index 1c20e141a2..8fa0050b9a 100755 --- a/areal/tools/validate_docker_installation.py +++ b/areal/tools/validate_docker_installation.py @@ -11,7 +11,6 @@ - DeepGEMM: FP8 GEMM library (requires SM90+ GPU) - DeepEP: Expert Parallelism communication (requires SM80+ GPU) - flash-linear-attention (fla): Linear attention with Triton kernels -- NVSHMEM: Required for DeepEP internode features """ import sys @@ -41,7 +40,6 @@ class DockerInstallationValidator(BaseInstallationValidator): "deep_gemm": ["deep_gemm"], "deep_ep": ["deep_ep"], "fla": ["fla.ops", "fla.layers", "fla.modules"], - "nvidia-nvshmem-cu12": ["nvidia.nvshmem"], } # Add Docker-specific packages to critical list @@ -89,9 +87,6 @@ def parse_pyproject(self): self.add_additional_package( "fla", required=True ) # Pure Triton, works everywhere - self.add_additional_package( - "nvidia-nvshmem-cu12", required=False - ) # DeepEP internode def test_cuda_functionality(self): """Run CUDA functionality tests including Docker-specific packages.""" @@ -210,16 +205,6 @@ def test_cuda_functionality(self): except Exception as e: print(f"⚠ DeepEP import failed: {e}") - # Test NVSHMEM (dependency for DeepEP internode features) - try: - import nvidia.nvshmem # noqa: F401 - - print("✓ NVSHMEM imported successfully") - except ImportError: - print("⚠ NVSHMEM not available (optional, for DeepEP internode features)") - except Exception as e: - print(f"⚠ NVSHMEM import failed: {e}") - # Test flash-linear-attention (fla) with actual layer instantiation try: import fla # noqa: F401 From 9a0a43f270979adab84447de9677d49525cc5540 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=8D=9A=E6=83=9F?= Date: Thu, 29 Jan 2026 00:48:39 +0800 Subject: [PATCH 3/3] fix fla version validation --- areal/tools/validate_docker_installation.py | 2 -- areal/tools/validation_base.py | 2 ++ 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/areal/tools/validate_docker_installation.py b/areal/tools/validate_docker_installation.py index 8fa0050b9a..52873f28d0 100755 --- a/areal/tools/validate_docker_installation.py +++ b/areal/tools/validate_docker_installation.py @@ -53,8 +53,6 @@ class DockerInstallationValidator(BaseInstallationValidator): "sglang", "megatron-core", "mbridge", - # DeepSeek-V3 related packages (fla is critical as it works on all GPUs) - "fla", } def __init__(self, pyproject_path: Path | None = None): diff --git a/areal/tools/validation_base.py b/areal/tools/validation_base.py index 4f53a74c76..a2842eead6 100644 --- a/areal/tools/validation_base.py +++ b/areal/tools/validation_base.py @@ -197,6 +197,8 @@ def get_installed_version(self, pkg_name: str) -> str | None: pkg_name.replace("-", "_"), pkg_name.replace("_", "-"), ] + if pkg_name.lower() == "fla": + variants.append("flash-linear-attention") for variant in variants: try: