std::bfloat16_t:16 位浮点数,由 TensorFlow 和现代 TPU 支持,格式为 1 位符号位、8 位指数位和 7 位尾数位。它与 32 位浮点数的转换非常简单,且在机器学习中具有更高的性能。 std::float32_t、std::float64_t 和std::float128_t:分别对应 32 位、64 位和 128 位浮点数,遵循
std::bfloat16_t:16 位浮点数,由 TensorFlow 和现代 TPU 支持,格式为 1 位符号位、8 位指数位和 7 位尾数位。它与 32 位浮点数的转换非常简单,且在机器学习中具有更高的性能。 std::float32_t、std::float64_t和std::float128_t:分别对应 32 位、64 位和 128 位浮点数,遵循 IEEE 754 标准。 2...
In release 8.0.0, we support float16_t and bfloat16_t (thanks @dalle). We have reasonable testing and our code is based on an implementation publicly available since GCC 13 (thanks @jakubjelinek for providing support). However issues rem...
Ubuntu 20.04 CI (GCC 9, fast-math) readme updates for std::float16_t and std::bfloat16_t #43 Sign in to view logs Summary Jobs ubuntu-build Run details Usage Workflow file Triggered via push December 4, 2024 20:12 dalle pushed 87aae63 dalle/float16 Status Success Total d...
readme updates for std::float16_t and std::bfloat16_t #43 Sign in to view logs Summary Jobs ubuntu-build Run details Usage Workflow file Triggered via push December 4, 2024 20:12 dalle pushed 87aae63 dalle/float16 Status Success Total duration 58s Artifacts – ubuntu22.yml...