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flake.nix : rewrite (ggerganov#4605)
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* flake.lock: update to hotfix CUDA::cuda_driver

Required to support ggerganov#4606

* flake.nix: rewrite

1. Split into separate files per output.

2. Added overlays, so that this flake can be integrated into others.
   The names in the overlay are `llama-cpp`, `llama-cpp-opencl`,
   `llama-cpp-cuda`, and `llama-cpp-rocm` so that they fit into the
   broader set of Nix packages from [nixpkgs](https://github.com/nixos/nixpkgs).

3. Use [callPackage](https://summer.nixos.org/blog/callpackage-a-tool-for-the-lazy/)
   rather than `with pkgs;` so that there's dependency injection rather
   than dependency lookup.

4. Add a description and meta information for each package.
   The description includes a bit about what's trying to accelerate each one.

5. Use specific CUDA packages instead of cudatoolkit on the advice of SomeoneSerge.

6. Format with `serokell/nixfmt` for a consistent style.

7. Update `flake.lock` with the latest goods.

* flake.nix: use finalPackage instead of passing it manually

* nix: unclutter darwin support

* nix: pass most darwin frameworks unconditionally

...for simplicity

* *.nix: nixfmt

nix shell github:piegamesde/nixfmt/rfc101-style --command \
    nixfmt flake.nix .devops/nix/*.nix

* flake.nix: add maintainers

* nix: move meta down to follow Nixpkgs style more closely

* nix: add missing meta attributes

nix: clarify the interpretation of meta.maintainers

nix: clarify the meaning of "broken" and "badPlatforms"

nix: passthru: expose the use* flags for inspection

E.g.:

```
❯ nix eval .#cuda.useCuda
true
```

* flake.nix: avoid re-evaluating nixpkgs too many times

* flake.nix: use flake-parts

* nix: migrate to pname+version

* flake.nix: overlay: expose both the namespace and the default attribute

* ci: add the (Nix) flakestry workflow

* nix: cmakeFlags: explicit OFF bools

* nix: cuda: reduce runtime closure

* nix: fewer rebuilds

* nix: respect config.cudaCapabilities

* nix: add the impure driver's location to the DT_RUNPATHs

* nix: clean sources more thoroughly

...this way outPaths change less frequently,
and so there are fewer rebuilds

* nix: explicit mpi support

* nix: explicit jetson support

* flake.nix: darwin: only expose the default

---------

Co-authored-by: Someone Serge <sergei.kozlukov@aalto.fi>
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philiptaron and SomeoneSerge authored Dec 29, 2023
1 parent 97bbca6 commit 68eccbd
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22 changes: 22 additions & 0 deletions .devops/nix/apps.nix
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{
perSystem =
{ config, lib, ... }:
{
apps =
let
inherit (config.packages) default;
binaries = [
"llama"
"llama-embedding"
"llama-server"
"quantize"
"train-text-from-scratch"
];
mkApp = name: {
type = "app";
program = "${default}/bin/${name}";
};
in
lib.genAttrs binaries mkApp;
};
}
13 changes: 13 additions & 0 deletions .devops/nix/devshells.nix
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{
perSystem =
{ config, lib, ... }:
{
devShells =
lib.concatMapAttrs
(name: package: {
${name} = package.passthru.shell;
${name + "-extra"} = package.passthru.shell-extra;
})
config.packages;
};
}
32 changes: 32 additions & 0 deletions .devops/nix/jetson-support.nix
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{ inputs, ... }:
{
perSystem =
{
config,
system,
lib,
pkgsCuda,
...
}:
lib.optionalAttrs (system == "aarch64-linux") {
packages =
let
caps.jetson-xavier = "7.2";
caps.jetson-orin = "8.7";
caps.jetson-nano = "5.3";

pkgsFor =
cap:
import inputs.nixpkgs {
inherit system;
config = {
cudaSupport = true;
cudaCapabilities = [ cap ];
cudaEnableForwardCompat = false;
inherit (pkgsCuda.config) allowUnfreePredicate;
};
};
in
builtins.mapAttrs (name: cap: ((pkgsFor cap).callPackage ./scope.nix { }).llama-cpp) caps;
};
}
35 changes: 35 additions & 0 deletions .devops/nix/nixpkgs-instances.nix
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{ inputs, ... }:
{
# The _module.args definitions are passed on to modules as arguments. E.g.
# the module `{ pkgs ... }: { /* config */ }` implicitly uses
# `_module.args.pkgs` (defined in this case by flake-parts).
perSystem =
{ system, ... }:
{
_module.args = {
pkgsCuda = import inputs.nixpkgs {
inherit system;
# Ensure dependencies use CUDA consistently (e.g. that openmpi, ucc,
# and ucx are built with CUDA support)
config.cudaSupport = true;
config.allowUnfreePredicate =
p:
builtins.all
(
license:
license.free
|| builtins.elem license.shortName [
"CUDA EULA"
"cuDNN EULA"
]
)
(p.meta.licenses or [ p.meta.license ]);
};
# Ensure dependencies use ROCm consistently
pkgsRocm = import inputs.nixpkgs {
inherit system;
config.rocmSupport = true;
};
};
};
}
265 changes: 265 additions & 0 deletions .devops/nix/package.nix
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{
lib,
config,
stdenv,
mkShell,
cmake,
ninja,
pkg-config,
git,
python3,
mpi,
openblas, # TODO: Use the generic `blas` so users could switch betwen alternative implementations
cudaPackages,
darwin,
rocmPackages,
clblast,
useBlas ? builtins.all (x: !x) [
useCuda
useMetalKit
useOpenCL
useRocm
],
useCuda ? config.cudaSupport,
useMetalKit ? stdenv.isAarch64 && stdenv.isDarwin && !useOpenCL,
useMpi ? false, # Increases the runtime closure size by ~700M
useOpenCL ? false,
useRocm ? config.rocmSupport,
llamaVersion ? "0.0.0", # Arbitrary version, substituted by the flake
}@inputs:

let
inherit (lib)
cmakeBool
cmakeFeature
optionals
strings
versionOlder
;

# It's necessary to consistently use backendStdenv when building with CUDA support,
# otherwise we get libstdc++ errors downstream.
stdenv = throw "Use effectiveStdenv instead";
effectiveStdenv = if useCuda then cudaPackages.backendStdenv else inputs.stdenv;

suffices =
lib.optionals useBlas [ "BLAS" ]
++ lib.optionals useCuda [ "CUDA" ]
++ lib.optionals useMetalKit [ "MetalKit" ]
++ lib.optionals useMpi [ "MPI" ]
++ lib.optionals useOpenCL [ "OpenCL" ]
++ lib.optionals useRocm [ "ROCm" ];

pnameSuffix =
strings.optionalString (suffices != [ ])
"-${strings.concatMapStringsSep "-" strings.toLower suffices}";
descriptionSuffix =
strings.optionalString (suffices != [ ])
", accelerated with ${strings.concatStringsSep ", " suffices}";

# TODO: package the Python in this repository in a Nix-like way.
# It'd be nice to migrate to buildPythonPackage, as well as ensure this repo
# is PEP 517-compatible, and ensure the correct .dist-info is generated.
# https://peps.python.org/pep-0517/
llama-python = python3.withPackages (
ps: [
ps.numpy
ps.sentencepiece
]
);

# TODO(Green-Sky): find a better way to opt-into the heavy ml python runtime
llama-python-extra = python3.withPackages (
ps: [
ps.numpy
ps.sentencepiece
ps.torchWithoutCuda
ps.transformers
]
);

# apple_sdk is supposed to choose sane defaults, no need to handle isAarch64
# separately
darwinBuildInputs =
with darwin.apple_sdk.frameworks;
[
Accelerate
CoreVideo
CoreGraphics
]
++ optionals useMetalKit [ MetalKit ];

cudaBuildInputs = with cudaPackages; [
cuda_cccl.dev # <nv/target>

# A temporary hack for reducing the closure size, remove once cudaPackages
# have stopped using lndir: https://github.com/NixOS/nixpkgs/issues/271792
cuda_cudart.dev
cuda_cudart.lib
cuda_cudart.static
libcublas.dev
libcublas.lib
libcublas.static
];

rocmBuildInputs = with rocmPackages; [
clr
hipblas
rocblas
];
in

effectiveStdenv.mkDerivation (
finalAttrs: {
pname = "llama-cpp${pnameSuffix}";
version = llamaVersion;

src = lib.cleanSourceWith {
filter =
name: type:
!(builtins.any (_: _) [
(lib.hasSuffix ".nix" name) # Ignore *.nix files when computing outPaths
(name == "README.md") # Ignore *.md changes whe computing outPaths
(lib.hasPrefix "." name) # Skip hidden files and directories
]);
src = lib.cleanSource ../../.;
};

postPatch = ''
substituteInPlace ./ggml-metal.m \
--replace '[bundle pathForResource:@"ggml-metal" ofType:@"metal"];' "@\"$out/bin/ggml-metal.metal\";"
# TODO: Package up each Python script or service appropriately.
# If we were to migrate to buildPythonPackage and prepare the `pyproject.toml`,
# we could make those *.py into setuptools' entrypoints
substituteInPlace ./*.py --replace "/usr/bin/env python" "${llama-python}/bin/python"
'';

nativeBuildInputs =
[
cmake
ninja
pkg-config
git
]
++ optionals useCuda [
cudaPackages.cuda_nvcc

# TODO: Replace with autoAddDriverRunpath
# once https://github.com/NixOS/nixpkgs/pull/275241 has been merged
cudaPackages.autoAddOpenGLRunpathHook
];

buildInputs =
optionals effectiveStdenv.isDarwin darwinBuildInputs
++ optionals useCuda cudaBuildInputs
++ optionals useMpi [ mpi ]
++ optionals useOpenCL [ clblast ]
++ optionals useRocm rocmBuildInputs;

cmakeFlags =
[
(cmakeBool "LLAMA_NATIVE" true)
(cmakeBool "LLAMA_BUILD_SERVER" true)
(cmakeBool "BUILD_SHARED_LIBS" true)
(cmakeBool "CMAKE_SKIP_BUILD_RPATH" true)
(cmakeBool "LLAMA_BLAS" useBlas)
(cmakeBool "LLAMA_CLBLAST" useOpenCL)
(cmakeBool "LLAMA_CUBLAS" useCuda)
(cmakeBool "LLAMA_HIPBLAS" useRocm)
(cmakeBool "LLAMA_METAL" useMetalKit)
(cmakeBool "LLAMA_MPI" useMpi)
]
++ optionals useCuda [
(
with cudaPackages.flags;
cmakeFeature "CMAKE_CUDA_ARCHITECTURES" (
builtins.concatStringsSep ";" (map dropDot cudaCapabilities)
)
)
]
++ optionals useRocm [
(cmakeFeature "CMAKE_C_COMPILER" "hipcc")
(cmakeFeature "CMAKE_CXX_COMPILER" "hipcc")

# Build all targets supported by rocBLAS. When updating search for TARGET_LIST_ROCM
# in https://github.com/ROCmSoftwarePlatform/rocBLAS/blob/develop/CMakeLists.txt
# and select the line that matches the current nixpkgs version of rocBLAS.
# Should likely use `rocmPackages.clr.gpuTargets`.
"-DAMDGPU_TARGETS=gfx803;gfx900;gfx906:xnack-;gfx908:xnack-;gfx90a:xnack+;gfx90a:xnack-;gfx940;gfx941;gfx942;gfx1010;gfx1012;gfx1030;gfx1100;gfx1101;gfx1102"
]
++ optionals useMetalKit [ (lib.cmakeFeature "CMAKE_C_FLAGS" "-D__ARM_FEATURE_DOTPROD=1") ]
++ optionals useBlas [ (lib.cmakeFeature "LLAMA_BLAS_VENDOR" "OpenBLAS") ];

# TODO(SomeoneSerge): It's better to add proper install targets at the CMake level,
# if they haven't been added yet.
postInstall = ''
mv $out/bin/main $out/bin/llama
mv $out/bin/server $out/bin/llama-server
mkdir -p $out/include
cp $src/llama.h $out/include/
'';

# Define the shells here, but don't add in the inputsFrom to avoid recursion.
passthru = {
inherit
useBlas
useCuda
useMetalKit
useMpi
useOpenCL
useRocm
;

shell = mkShell {
name = "shell-${finalAttrs.finalPackage.name}";
description = "contains numpy and sentencepiece";
buildInputs = [ llama-python ];
inputsFrom = [ finalAttrs.finalPackage ];
};

shell-extra = mkShell {
name = "shell-extra-${finalAttrs.finalPackage.name}";
description = "contains numpy, sentencepiece, torchWithoutCuda, and transformers";
buildInputs = [ llama-python-extra ];
inputsFrom = [ finalAttrs.finalPackage ];
};
};

meta = {
# Configurations we don't want even the CI to evaluate. Results in the
# "unsupported platform" messages. This is mostly a no-op, because
# cudaPackages would've refused to evaluate anyway.
badPlatforms = optionals (useCuda || useOpenCL) lib.platforms.darwin;

# Configurations that are known to result in build failures. Can be
# overridden by importing Nixpkgs with `allowBroken = true`.
broken = (useMetalKit && !effectiveStdenv.isDarwin);

description = "Inference of LLaMA model in pure C/C++${descriptionSuffix}";
homepage = "https://github.com/ggerganov/llama.cpp/";
license = lib.licenses.mit;

# Accommodates `nix run` and `lib.getExe`
mainProgram = "llama";

# These people might respond, on the best effort basis, if you ping them
# in case of Nix-specific regressions or for reviewing Nix-specific PRs.
# Consider adding yourself to this list if you want to ensure this flake
# stays maintained and you're willing to invest your time. Do not add
# other people without their consent. Consider removing people after
# they've been unreachable for long periods of time.

# Note that lib.maintainers is defined in Nixpkgs, but you may just add
# an attrset following the same format as in
# https://github.com/NixOS/nixpkgs/blob/f36a80e54da29775c78d7eff0e628c2b4e34d1d7/maintainers/maintainer-list.nix
maintainers = with lib.maintainers; [
philiptaron
SomeoneSerge
];

# Extend `badPlatforms` instead
platforms = lib.platforms.all;
};
}
)
12 changes: 12 additions & 0 deletions .devops/nix/scope.nix
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{
lib,
newScope,
llamaVersion ? "0.0.0",
}:

lib.makeScope newScope (
self: {
inherit llamaVersion;
llama-cpp = self.callPackage ./package.nix { };
}
)
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