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optimum-neuron-cache
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{
  "_class_name": "UNet2DConditionModel",
  "_commit_hash": null,
  "_diffusers_version": "0.28.2",
  "_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--echarlaix--tiny-random-latent-consistency/snapshots/ea16e1fcf89fe667eef6639bfd14ac8701bff7b9/unet",
  "act_fn": "silu",
  "addition_embed_type": null,
  "addition_embed_type_num_heads": 64,
  "addition_time_embed_dim": null,
  "attention_head_dim": 8,
  "attention_type": "default",
  "block_out_channels": [
    4,
    8
  ],
  "center_input_sample": false,
  "class_embed_type": null,
  "class_embeddings_concat": false,
  "conv_in_kernel": 3,
  "conv_out_kernel": 3,
  "cross_attention_dim": 32,
  "cross_attention_norm": null,
  "down_block_types": [
    "DownBlock2D",
    "CrossAttnDownBlock2D"
  ],
  "downsample_padding": 1,
  "dropout": 0.0,
  "dual_cross_attention": false,
  "encoder_hid_dim": null,
  "encoder_hid_dim_type": null,
  "flip_sin_to_cos": true,
  "freq_shift": 0,
  "in_channels": 4,
  "layers_per_block": 1,
  "mid_block_only_cross_attention": null,
  "mid_block_scale_factor": 1,
  "mid_block_type": "UNetMidBlock2DCrossAttn",
  "neuron": {
    "compiler_type": "neuronx-cc",
    "compiler_version": "2.15.128.0+56dc5a86",
    "dynamic_batch_size": false,
    "inline_weights_to_neff": true,
    "input_names": [
      "sample",
      "timestep",
      "encoder_hidden_states",
      "timestep_cond"
    ],
    "model_type": "unet",
    "optlevel": "2",
    "output_attentions": false,
    "output_hidden_states": false,
    "output_names": [
      "sample"
    ],
    "static_batch_size": 4,
    "static_height": 32,
    "static_num_channels": 4,
    "static_sequence_length": 77,
    "static_vae_scale_factor": 2,
    "static_width": 32
  },
  "norm_eps": 1e-05,
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  "num_attention_heads": null,
  "num_class_embeds": null,
  "only_cross_attention": false,
  "out_channels": 4,
  "projection_class_embeddings_input_dim": null,
  "resnet_out_scale_factor": 1.0,
  "resnet_skip_time_act": false,
  "resnet_time_scale_shift": "default",
  "reverse_transformer_layers_per_block": null,
  "sample_size": 32,
  "task": "semantic-segmentation",
  "time_cond_proj_dim": 32,
  "time_embedding_act_fn": null,
  "time_embedding_dim": null,
  "time_embedding_type": "positional",
  "timestep_post_act": null,
  "transformer_layers_per_block": 1,
  "transformers_version": null,
  "up_block_types": [
    "CrossAttnUpBlock2D",
    "UpBlock2D"
  ],
  "upcast_attention": false,
  "use_linear_projection": false
}