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default install cuda on linux (#2462)
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11
README.md
11
README.md
@ -75,16 +75,11 @@ macOS, run:
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pip install mlx
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```
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To install the CUDA backend on Linux, run:
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On Linux, the same command (``pip install mlx``) will install the CUDA backend
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by default. To install a CPU-only Linux package, run:
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```bash
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pip install "mlx[cuda]"
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```
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To install a CPU-only Linux package, run:
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```bash
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pip install "mlx[cpu]"
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pip install mlx[cpu]
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```
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Checkout the
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@ -30,7 +30,7 @@ MLX has a CUDA backend which you can install with:
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.. code-block:: shell
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pip install "mlx[cuda]"
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pip install mlx
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To install the CUDA package from PyPi your system must meet the following
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requirements:
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@ -49,7 +49,7 @@ For a CPU-only version of MLX that runs on Linux use:
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.. code-block:: shell
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pip install "mlx[cpu]"
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pip install mlx[cpu]
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To install the CPU-only package from PyPi your system must meet the following
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requirements:
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12
setup.py
12
setup.py
@ -274,11 +274,13 @@ if __name__ == "__main__":
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# - Package name is back-end specific, e.g mlx-metal
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if build_stage != 2:
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if build_stage == 1:
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install_requires.append(
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f'mlx-metal=={version}; platform_system == "Darwin"'
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)
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extras["cuda"] = [f'mlx-cuda=={version}; platform_system == "Linux"']
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extras["cpu"] = [f'mlx-cpu=={version}; platform_system == "Linux"']
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install_requires += [
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f'mlx-metal=={version}; platform_system == "Darwin"',
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f'mlx-cuda=={version}; extra != "cpu" and platform_system == "linux"',
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]
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extras["cpu"] = [
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f'mlx-cpu=={version}; extra == "cpu" and platform_system == "linux"'
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]
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_setup(
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name="mlx",
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