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Updated conda CI label from staging to main, INSTALL.md #3929

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Updated conda CI label from staging to main, INSTALL.md #3929

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16 changes: 8 additions & 8 deletions .github/workflows/build.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -178,7 +178,7 @@ jobs:
env:
ANACONDA_API_TOKEN: ${{ secrets.ANACONDA_API_TOKEN }}
with:
label: staging
label: main
linux-x86_64-GPU-packages-CUDA-11-4-4:
name: Linux x86_64 GPU packages (CUDA 11.4.4)
if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v')
Expand All @@ -197,7 +197,7 @@ jobs:
env:
ANACONDA_API_TOKEN: ${{ secrets.ANACONDA_API_TOKEN }}
with:
label: staging
label: main
cuda: "11.4.4"
linux-x86_64-GPU-RAFT-packages-CUDA11-8-0:
name: Linux x86_64 GPU w/ RAFT packages (CUDA 11.8.0)
Expand All @@ -216,7 +216,7 @@ jobs:
env:
ANACONDA_API_TOKEN: ${{ secrets.ANACONDA_API_TOKEN }}
with:
label: staging
label: main
raft: "ON"
cuda: "11.8.0"
linux-x86_64-GPU-packages-CUDA-12-1-1:
Expand All @@ -236,7 +236,7 @@ jobs:
env:
ANACONDA_API_TOKEN: ${{ secrets.ANACONDA_API_TOKEN }}
with:
label: staging
label: main
cuda: "12.1.1"
linux-x86_64-GPU-RAFT-packages-CUDA12-1-1:
name: Linux x86_64 GPU w/ RAFT packages (CUDA 12.1.1)
Expand All @@ -255,7 +255,7 @@ jobs:
env:
ANACONDA_API_TOKEN: ${{ secrets.ANACONDA_API_TOKEN }}
with:
label: staging
label: main
raft: "ON"
cuda: "12.1.1"
windows-x86_64-packages:
Expand All @@ -273,7 +273,7 @@ jobs:
env:
ANACONDA_API_TOKEN: ${{ secrets.ANACONDA_API_TOKEN }}
with:
label: staging
label: main
osx-arm64-packages:
name: OSX arm64 packages
if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v')
Expand All @@ -289,7 +289,7 @@ jobs:
env:
ANACONDA_API_TOKEN: ${{ secrets.ANACONDA_API_TOKEN }}
with:
label: staging
label: main
linux-arm64-packages:
name: Linux arm64 packages
if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v')
Expand All @@ -305,4 +305,4 @@ jobs:
env:
ANACONDA_API_TOKEN: ${{ secrets.ANACONDA_API_TOKEN }}
with:
label: staging
label: main
18 changes: 9 additions & 9 deletions INSTALL.md
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Original file line number Diff line number Diff line change
Expand Up @@ -4,21 +4,21 @@ The supported way to install Faiss is through [conda](https://docs.conda.io).
Stable releases are pushed regularly to the pytorch conda channel, as well as
pre-release nightly builds.

- The CPU-only faiss-cpu conda package is currently available on Linux (x86_64 and arm64), OSX (arm64 only), and Windows (x86_64)
- faiss-gpu, containing both CPU and GPU indices, is available on Linux (x86_64 only) for CUDA 11.4 and 12.1
- NEW: faiss-gpu-raft containing both CPU and GPU indices provided by NVIDIA RAFT, is available on Linux (x86_64 only) for CUDA 11.8 and 12.1.
- The CPU-only faiss-cpu conda package is currently available on Linux (x86-64 and aarch64), OSX (arm64 only), and Windows (x86-64)
- faiss-gpu, containing both CPU and GPU indices, is available on Linux (x86-64 only) for CUDA 11.4 and 12.1
- faiss-gpu-raft containing both CPU and GPU indices provided by NVIDIA RAFT, is available on Linux (x86-64 only) for CUDA 11.8 and 12.1.

To install the latest stable release:

``` shell
# CPU-only version
$ conda install -c pytorch faiss-cpu=1.8.0
$ conda install -c pytorch faiss-cpu=1.9.0

# GPU(+CPU) version
$ conda install -c pytorch -c nvidia faiss-gpu=1.8.0
$ conda install -c pytorch -c nvidia faiss-gpu=1.9.0

# GPU(+CPU) version with NVIDIA RAFT
$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge faiss-gpu-raft=1.8.0
$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge faiss-gpu-raft=1.9.0

# GPU(+CPU) version using AMD ROCm not yet available
```
Expand All @@ -35,10 +35,10 @@ Nightly pre-release packages can be installed as follows:
$ conda install -c pytorch/label/nightly faiss-cpu

# GPU(+CPU) version
$ conda install -c pytorch/label/nightly -c nvidia faiss-gpu=1.8.0
$ conda install -c pytorch/label/nightly -c nvidia faiss-gpu=1.9.0

# GPU(+CPU) version with NVIDIA RAFT
conda install -c pytorch -c nvidia -c rapidsai -c conda-forge faiss-gpu-raft=1.8.0 pytorch pytorch-cuda numpy
conda install -c pytorch -c nvidia -c rapidsai -c conda-forge faiss-gpu-raft=1.9.0 pytorch pytorch-cuda numpy

# GPU(+CPU) version using AMD ROCm not yet available
```
Expand Down Expand Up @@ -80,7 +80,7 @@ conda-forge package "feedstock".

Faiss can be built from source using CMake.

Faiss is supported on x86_64 machines on Linux, OSX, and Windows. It has been
Faiss is supported on x86-64 machines on Linux, OSX, and Windows. It has been
found to run on other platforms as well, see
[other platforms](https://github.com/facebookresearch/faiss/wiki/Related-projects#bindings-to-other-languages-and-porting-to-other-platforms).

Expand Down