Update 040_INSTALL_DOCKER.md

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Millun Atluri 2023-11-14 12:22:46 +11:00 committed by GitHub
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@ -30,7 +30,7 @@ methodology for details on why running applications in such a stateless fashion
The container is configured for CUDA by default, but can be built to support AMD GPUs The container is configured for CUDA by default, but can be built to support AMD GPUs
by setting the `GPU_DRIVER=rocm` environment variable at Docker image build time. by setting the `GPU_DRIVER=rocm` environment variable at Docker image build time.
Developers on Apple silicon (M1/M2): You Developers on Apple silicon (M1/M2/M3): You
[can't access your GPU cores from Docker containers](https://github.com/pytorch/pytorch/issues/81224) [can't access your GPU cores from Docker containers](https://github.com/pytorch/pytorch/issues/81224)
and performance is reduced compared with running it directly on macOS but for and performance is reduced compared with running it directly on macOS but for
development purposes it's fine. Once you're done with development tasks on your development purposes it's fine. Once you're done with development tasks on your