update go to 1.22 in other places (#2975)

This commit is contained in:
Jeffrey Morgan 2024-03-07 07:39:49 -08:00 committed by GitHub
parent 23ee633252
commit d481fb3cc8
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
3 changed files with 20 additions and 21 deletions

View file

@ -21,7 +21,7 @@ jobs:
- uses: actions/checkout@v4
- uses: actions/setup-go@v5
with:
go-version: '1.21'
go-version: '1.22'
cache: true
- run: go get ./...
- run: go generate -x ./...
@ -46,7 +46,7 @@ jobs:
- uses: actions/checkout@v4
- uses: actions/setup-go@v4
with:
go-version: '1.21'
go-version: '1.22'
cache: true
- run: go get ./...
- run: |
@ -76,7 +76,7 @@ jobs:
- uses: actions/checkout@v4
- uses: actions/setup-go@v4
with:
go-version: '1.21'
go-version: '1.22'
cache: true
- run: go get ./...
- run: |
@ -103,14 +103,14 @@ jobs:
runs-on: ${{ matrix.os }}
env:
GOARCH: ${{ matrix.arch }}
CGO_ENABLED: "1"
CGO_ENABLED: '1'
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-go@v5
with:
go-version: '1.21'
go-version: '1.22'
cache: false
- run: |
mkdir -p llm/llama.cpp/build/linux/${{ matrix.arch }}/stub/lib/
@ -140,14 +140,14 @@ jobs:
runs-on: ${{ matrix.os }}
env:
GOARCH: ${{ matrix.arch }}
CGO_ENABLED: "1"
CGO_ENABLED: '1'
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: actions/setup-go@v5
with:
go-version: '1.21'
go-version: '1.22'
cache: true
- run: go get
- uses: actions/download-artifact@v4

View file

@ -1,4 +1,4 @@
ARG GOLANG_VERSION=1.21.3
ARG GOLANG_VERSION=1.22.1
ARG CMAKE_VERSION=3.22.1
ARG CUDA_VERSION=11.3.1

View file

@ -3,7 +3,7 @@
Install required tools:
- cmake version 3.24 or higher
- go version 1.21 or higher
- go version 1.22 or higher
- gcc version 11.4.0 or higher
```bash
@ -42,7 +42,7 @@ Now you can run `ollama`:
#### Linux CUDA (NVIDIA)
*Your operating system distribution may already have packages for NVIDIA CUDA. Distro packages are often preferable, but instructions are distro-specific. Please consult distro-specific docs for dependencies if available!*
_Your operating system distribution may already have packages for NVIDIA CUDA. Distro packages are often preferable, but instructions are distro-specific. Please consult distro-specific docs for dependencies if available!_
Install `cmake` and `golang` as well as [NVIDIA CUDA](https://developer.nvidia.com/cuda-downloads)
development and runtime packages.
@ -50,7 +50,7 @@ development and runtime packages.
Typically the build scripts will auto-detect CUDA, however, if your Linux distro
or installation approach uses unusual paths, you can specify the location by
specifying an environment variable `CUDA_LIB_DIR` to the location of the shared
libraries, and `CUDACXX` to the location of the nvcc compiler. You can customize
libraries, and `CUDACXX` to the location of the nvcc compiler. You can customize
set set of target CUDA architectues by setting `CMAKE_CUDA_ARCHITECTURES` (e.g. "50;60;70")
Then generate dependencies:
@ -67,7 +67,7 @@ go build .
#### Linux ROCm (AMD)
*Your operating system distribution may already have packages for AMD ROCm and CLBlast. Distro packages are often preferable, but instructions are distro-specific. Please consult distro-specific docs for dependencies if available!*
_Your operating system distribution may already have packages for AMD ROCm and CLBlast. Distro packages are often preferable, but instructions are distro-specific. Please consult distro-specific docs for dependencies if available!_
Install [CLBlast](https://github.com/CNugteren/CLBlast/blob/master/doc/installation.md) and [ROCm](https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html) development packages first, as well as `cmake` and `golang`.
@ -75,7 +75,7 @@ Typically the build scripts will auto-detect ROCm, however, if your Linux distro
or installation approach uses unusual paths, you can specify the location by
specifying an environment variable `ROCM_PATH` to the location of the ROCm
install (typically `/opt/rocm`), and `CLBlast_DIR` to the location of the
CLBlast install (typically `/usr/lib/cmake/CLBlast`). You can also customize
CLBlast install (typically `/usr/lib/cmake/CLBlast`). You can also customize
the AMD GPU targets by setting AMDGPU_TARGETS (e.g. `AMDGPU_TARGETS="gfx1101;gfx1102"`)
```
@ -88,17 +88,17 @@ Then build the binary:
go build .
```
ROCm requires elevated privileges to access the GPU at runtime. On most distros you can add your user account to the `render` group, or run as root.
ROCm requires elevated privileges to access the GPU at runtime. On most distros you can add your user account to the `render` group, or run as root.
#### Advanced CPU Settings
By default, running `go generate ./...` will compile a few different variations
of the LLM library based on common CPU families and vector math capabilities,
including a lowest-common-denominator which should run on almost any 64 bit CPU
somewhat slowly. At runtime, Ollama will auto-detect the optimal variation to
load. If you would like to build a CPU-based build customized for your
somewhat slowly. At runtime, Ollama will auto-detect the optimal variation to
load. If you would like to build a CPU-based build customized for your
processor, you can set `OLLAMA_CUSTOM_CPU_DEFS` to the llama.cpp flags you would
like to use. For example, to compile an optimized binary for an Intel i9-9880H,
like to use. For example, to compile an optimized binary for an Intel i9-9880H,
you might use:
```
@ -108,8 +108,7 @@ go build .
#### Containerized Linux Build
If you have Docker available, you can build linux binaries with `./scripts/build_linux.sh` which has the CUDA and ROCm dependencies included. The resulting binary is placed in `./dist`
If you have Docker available, you can build linux binaries with `./scripts/build_linux.sh` which has the CUDA and ROCm dependencies included. The resulting binary is placed in `./dist`
### Windows
@ -118,7 +117,7 @@ Note: The windows build for Ollama is still under development.
Install required tools:
- MSVC toolchain - C/C++ and cmake as minimal requirements
- go version 1.21 or higher
- go version 1.22 or higher
- MinGW (pick one variant) with GCC.
- <https://www.mingw-w64.org/>
- <https://www.msys2.org/>