Support BF16 training for sharding and dp #46846
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sneaxiy
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Oct 14, 2022
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GhostScreaming
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* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result is wrong. * support pure bfloat16 * support bf16 linear * update PR to pass CI * tiny fix where_grad_kernel.cu * Support bfloat16 type for reducer and sharding. * Fix some bug. * Polish code. * Polise code. * Add bfloat16 datatype in fill_grad kernels. Co-authored-by: sneaxiy <[email protected]>
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Oct 21, 2022
This reverts commit 6adbed6.
GhostScreaming
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* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result is wrong. * support pure bfloat16 * support bf16 linear * update PR to pass CI * tiny fix where_grad_kernel.cu * Support bfloat16 type for reducer and sharding. * Fix some bug. * Polish code. * Polise code. * Add bfloat16 datatype in fill_grad kernels. Co-authored-by: sneaxiy <[email protected]>
XiaoguangHu01
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Oct 24, 2022
* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result is wrong. * support pure bfloat16 * support bf16 linear * update PR to pass CI * tiny fix where_grad_kernel.cu * Support bfloat16 type for reducer and sharding. * Fix some bug. * Polish code. * Polise code. * Add bfloat16 datatype in fill_grad kernels. Co-authored-by: sneaxiy <[email protected]> Co-authored-by: sneaxiy <[email protected]>
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Support bfloat16 datatype for reducer operator, fill kernel and sharding strategy.