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api/go1.14.txt
pkg syscall (freebsd-arm64), const AF_INET6 = 28 pkg syscall (freebsd-arm64), const AF_INET6_SDP = 42 pkg syscall (freebsd-arm64), const AF_INET6_SDP ideal-int pkg syscall (freebsd-arm64), const AF_IPX = 23 pkg syscall (freebsd-arm64), const AF_IPX ideal-int pkg syscall (freebsd-arm64), const AF_ISDN = 26 pkg syscall (freebsd-arm64), const AF_ISDN ideal-int pkg syscall (freebsd-arm64), const AF_ISO = 7
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CHANGELOG/CHANGELOG-1.19.md
- [Dependencies](#dependencies-23) - [Added](#added-23) - [Changed](#changed-23) - [Removed](#removed-23) - [v1.19.0-beta.0](#v1190-beta0) - [Downloads for v1.19.0-beta.0](#downloads-for-v1190-beta0) - [Source Code](#source-code-23) - [Client binaries](#client-binaries-23) - [Server binaries](#server-binaries-23) - [Node binaries](#node-binaries-23)
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api/go1.20.txt
pkg syscall (freebsd-riscv64), const AF_INET_SDP = 40 #53466 pkg syscall (freebsd-riscv64), const AF_INET_SDP ideal-int #53466 pkg syscall (freebsd-riscv64), const AF_IPX = 23 #53466 pkg syscall (freebsd-riscv64), const AF_IPX ideal-int #53466 pkg syscall (freebsd-riscv64), const AF_ISDN = 26 #53466 pkg syscall (freebsd-riscv64), const AF_ISDN ideal-int #53466
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RELEASE.md
including matmuls and convolutions, due to the use of [TensorFloat-32](https://blogs.nvidia.com/blog/2020/05/14/tensorfloat-32-precision-format/). Specifically, inputs to such ops are rounded from 23 bits of precision to 10 bits of precision. This is unlikely to cause issues in practice for deep learning models. In some cases, TensorFloat-32 is also used for
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