class_docstr: Initialize the DeepSpeed Transformer Layer.
  Arguments:
      layer_id: The layer index starting from 0, e.g. if model has 24 transformer layers,
          layer_id will be 0,1,2...23 when each layer object is instantiated
      config: An object of DeepSpeedInferenceConfig
class_docstr_tok: ["Initialize","the","DeepSpeed","Transformer","Layer",".","Arguments",":","layer_id",":","The","layer","index","starting","from","0",",","e.g",".","if","model","has","24","transformer","layers",",","layer_id","will","be","0,1,2","...","23","when","each","layer","object","is","instantiated","config",":","An","object","of","DeepSpeedInferenceConfig"]
code: def forward(self, input, context=None, input_mask=None):
      if self.config.layer_id == 0:
          self.allocate_workspace(
              self.config.hidden_size,
              self.config.heads,
              input.size()[1],
              input.size()[0],
              DeepSpeedDiffusersAttention.layer_id,
              self.config.mp_size,
              False,
              0,
              self.config.max_out_tokens,
              self.config.min_out_tokens,
          )
      output = DeepSpeedDiffusersAttentionFunction.apply(
          input,
          context,
          input_mask,
          self.config,
          self.attn_qkvw,
          self.attn_qw,
          self.attn_kw,
          self.attn_vw,
          self.attn_qkvb,
          self.num_attention_heads_per_partition,
          self.norm_factor,
          self.hidden_size_per_partition,
          self.attn_ow,
          self.attn_ob,
          self.do_out_bias,
          self.score_context_func,
          self.linear_func,
          self.triton_flash_attn_kernel,
          self.config.rope_theta,
      )
  
      return output
  
file_path: DeepSpeed/deepspeed/ops/transformer/inference/diffusers_attention.py
imports: import math
  import torch
  from torch.autograd import Function
  import torch.nn
  from packaging import version
  from deepspeed.utils.logging import log_dist
  from deepspeed.accelerator import get_accelerator
  from deepspeed.ops.op_builder import InferenceBuilder
label_desc: Use image node_id 2 for calling the DeepSpeedDiffusersAttention obj's underlying member method code with example usage: obj.forward(input, context, input_mask) and returns: output