Comments (5)
There are several reasons:
- TensorFlow relies on LLVM.
- MSVC does not have good support for compiling CUDA, unlike clang.
- MSVC compiler updates at a slower rate than clang so features have to be held back
- MSVC compiler error are harder to parse, they're more opaque
- Compiling TF GPU with MSVC for releases took up to 12 hours, compared to clang which has reasonable time
- Google uses clang to compile everything so it does not make sense to have people learn a new compiler
from tensorflow.
There are several reasons:
- TensorFlow relies on LLVM.
- MSVC does not have good support for compiling CUDA, unlike clang.
- MSVC compiler updates at a slower rate than clang so features have to be held back
- MSVC compiler error are harder to parse, they're more opaque
- Compiling TF GPU with MSVC for releases took up to 12 hours, compared to clang which has reasonable time
- Google uses clang to compile everything so it does not make sense to have people learn a new compiler
Thank you very much
from tensorflow.
This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.
from tensorflow.
This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.
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