[FEAT]-[Module]: [return_loss_text]: Add [return_loss_text] function …

…for enhanced loss computation readability

[FEAT]-[Module]: [calc_z_loss]: Introduce [calc_z_loss] function to calculate Z loss in model training
[FEAT]-[Module]: [max_neg_value]: Implement [max_neg_value] function for negative value handling in computations
[FEAT]-[Module]: [TextTokenEmbedding]: Deploy [TextTokenEmbedding] for improved text token embedding functionality
[FEAT]-[Module]: [dropout_seq]: Add [dropout_seq] function for sequence dropout in neural network layers
[FEAT]-[Module]: [transformer_generate]: Introduce [transformer_generate] function for efficient transformer text generation
[FEAT]-[Module]: [vit_output_head]: Add [vit_output_head] for Vision Transformer model output handling
[FEAT]-[Module]: [patch_linear_flatten]: Implement [patch_linear_flatten] for streamlined linear patch flattening in ViT
[FEAT]-[Module]: [ScalableImgSelfAttention]: Introduce [ScalableImgSelfAttention] for scalable image self-attention mechanism
]

zeta scale

clean up

attention export

clean up

push attention config