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optimum-neuron-cache
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{
  "_class_name": "AutoencoderKL",
  "_commit_hash": null,
  "_diffusers_version": "0.27.2",
  "_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--hf-internal-testing--tiny-stable-diffusion-torch/snapshots/a88cdfbd91f96ec7f61eb7484b652ff0f4ee701d/vae",
  "_use_default_values": [
    "latents_mean",
    "force_upcast",
    "scaling_factor",
    "latents_std"
  ],
  "act_fn": "silu",
  "block_out_channels": [
    32,
    64
  ],
  "down_block_types": [
    "DownEncoderBlock2D",
    "DownEncoderBlock2D"
  ],
  "force_upcast": true,
  "in_channels": 3,
  "latent_channels": 4,
  "latents_mean": null,
  "latents_std": null,
  "layers_per_block": 1,
  "neuron": {
    "auto_cast": "matmul",
    "auto_cast_type": "bf16",
    "compiler_type": "neuronx-cc",
    "compiler_version": "2.13.66.0+6dfecc895",
    "dynamic_batch_size": false,
    "inline_weights_to_neff": false,
    "input_names": [
      "sample"
    ],
    "model_type": "vae-encoder",
    "optlevel": "2",
    "output_attentions": false,
    "output_hidden_states": false,
    "output_names": [
      "latent_sample"
    ],
    "static_batch_size": 1,
    "static_height": 64,
    "static_num_channels": 3,
    "static_width": 64
  },
  "norm_num_groups": 32,
  "out_channels": 3,
  "sample_size": 128,
  "scaling_factor": 0.18215,
  "task": "semantic-segmentation",
  "transformers_version": null,
  "up_block_types": [
    "UpDecoderBlock2D",
    "UpDecoderBlock2D"
  ]
}