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Sharp-webgpu

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Sharp
ONNX
Transformers.js
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Sharp-webgpu
File size: 1,769 Bytes
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{
  "version": 1,
  "opset": 17,
  "precision": "mixed",
  "internal_resolution": 1536,
  "output_resolution": 768,
  "stages": [
    {
      "name": "stage-1",
      "file": "sharp_stage_1.onnx",
      "inputs": [
        "image",
        "disparity_factor"
      ],
      "outputs": [
        "depth",
        "encoder_feature_0",
        "encoder_feature_1",
        "encoder_feature_2",
        "encoder_feature_3",
        "encoder_feature_4"
      ]
    },
    {
      "name": "stage-2",
      "file": "sharp_stage_2.onnx",
      "inputs": [
        "image",
        "depth"
      ],
      "outputs": [
        "feature_input",
        "base_mean_x_ndc",
        "base_mean_y_ndc",
        "base_mean_inverse_z_ndc",
        "base_scales",
        "base_quaternions",
        "base_colors",
        "base_opacities",
        "global_scale"
      ]
    },
    {
      "name": "stage-3",
      "file": "sharp_stage_3.onnx",
      "inputs": [
        "feature_input",
        "encoder_feature_0",
        "encoder_feature_1",
        "encoder_feature_2",
        "encoder_feature_3",
        "encoder_feature_4"
      ],
      "outputs": [
        "delta"
      ]
    },
    {
      "name": "stage-4",
      "file": "sharp_stage_4.onnx",
      "inputs": [
        "delta",
        "base_mean_x_ndc",
        "base_mean_y_ndc",
        "base_mean_inverse_z_ndc",
        "base_scales",
        "base_quaternions",
        "base_colors",
        "base_opacities",
        "global_scale"
      ],
      "outputs": [
        "mean_vectors",
        "singular_values",
        "quaternions",
        "colors",
        "opacities"
      ]
    }
  ],
  "ort_compatibility_patch": {
    "stage-1": "removed Cast(to=DOUBLE)->IsInf adapters emitted by torch.nan_to_num"
  }
}