name: "face_warp"
backend: "python" 
max_batch_size: 16

input [
  {
    name: "input"
    data_type: TYPE_FP32
    dims: [3, 160, 160]
  },
  {
    name: "score"
    data_type: TYPE_FP32
    dims: [1]
  },
  {
    name: "landmarks"
    data_type: TYPE_FP32
    dims: [5, 2]
  }

]

output [
  {
    name: "output"
    data_type: TYPE_FP32
    dims: [512]
  }
]

# Python backend usually runs on CPU; you *can* pin to GPU but OpenCV warp here is CPU.
instance_group [
  {
    kind: KIND_CPU
    count: 1
  }
]

# Batch; keep same policy style as your other models.
dynamic_batching {
}

# Optional: default per‑sample zoom factor when `scale` input not provided.
parameters: {
  key: "scale_factor"
  value: { string_value: "1.0" }
}