Mojo module

normalization

Functions

• ​block_reduce:
• ​layer_norm:
• ​layer_norm_cpu: Computes layernorm(elementwise_fn(x)) across the last dimension of x, where layernorm is defined as $(x-mean(x))/(sqrt(var(x)+eps)*gamma_fn + beta$.
• ​layer_norm_gpu:
• ​layer_norm_gpu_block:
• ​layer_norm_gpu_warp_tiling:
• ​layer_norm_reshape:
• ​layer_norm_shape: Compute the output shape of a layer_norm operation.
• ​rms_norm:
• ​rms_norm_cpu:
• ​rms_norm_gpu:
• ​rms_norm_gpu_block:
• ​rms_norm_gpu_warp_tiling:
• ​rms_norm_shape:
• ​welford_block_all_reduce:
• ​welford_combine:
• ​welford_update:
• ​welford_warp_all_reduce:
• ​welford_warp_reduce:

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