Few docs fixes (#2703)
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@ -5,7 +5,7 @@ Install from Source
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This page gives instructions on how to build and install the tvm package from
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scratch on various systems. It consists of two steps:
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1. First build the shared library from the C++ codes (`libtvm.so` for linux/osx and `libtvm.dll` for windows).
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1. First build the shared library from the C++ codes (`libtvm.so` for linux, `libtvm.dylib` for macOS and `libtvm.dll` for windows).
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2. Setup for the language packages (e.g. Python Package).
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To get started, clone tvm repo from github. It is important to clone the submodules along, with ``--recursive`` option.
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@ -28,7 +28,7 @@ Build the Shared Library
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Our goal is to build the shared libraries:
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- On Linux the target library are `libtvm.so, libtvm_topi.so`
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- On OSX the target library are `libtvm.dylib, libtvm_topi.dylib`
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- On macOS the target library are `libtvm.dylib, libtvm_topi.dylib`
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- On Windows the target library are `libtvm.dll, libtvm_topi.dll`
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@ -60,7 +60,7 @@ The configuration of tvm can be modified by `config.cmake`.
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- Edit ``build/config.cmake`` to customize the compilation options
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- On macOS, for some versions of XCode, you need to add ``-lc++abi`` in the LDFLAGS or you'll get link errors.
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- On macOS, for some versions of Xcode, you need to add ``-lc++abi`` in the LDFLAGS or you'll get link errors.
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- Change ``set(USE_CUDA OFF)`` to ``set(USE_CUDA ON)`` to enable CUDA backend. So do other backends and libraries
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(OpenCL, RCOM, METAL, VULKAN, ...).
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