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path: root/res/TensorFlowLiteRecipes/Quantize_001/test.recipe
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operand {
  name: "ifm"
  type: FLOAT32
  shape { dim: 1 dim: 3 dim: 3 dim: 2  }
}
operand {
  name: "ker"
  type: FLOAT32
  shape { dim: 1 dim: 1 dim: 1 dim: 2 }
  filler {
    tag: "gaussian"
    arg: "0.0"
    arg: "1.0"
  }
}
operand {
  name: "bias"
  type: FLOAT32
  shape { dim: 1 }
  filler {
    tag: "gaussian"
    arg: "0.0"
    arg: "1.0"
  }
}
operand {
  name: "ofm_c"
  type: FLOAT32
  shape { dim: 1 dim: 3 dim: 3 dim: 1 }
}
operation {
  type: "Conv2D"
  conv2d_options {
    padding: VALID
    stride_w: 1
    stride_h: 1
  }
  input: "ifm"
  input: "ker"
  input: "bias"
  output: "ofm_c"
}
operand {
  name: "ofm_q"
  type: UINT8
  shape { dim: 1 dim: 3 dim: 3 dim: 1 }
  quant { min: 0 max: 255 scale: 1.0 zero_point: 0 }
}
operation {
  type: "Quantize"
  input: "ofm_c"
  output: "ofm_q"
}
operand {
  name: "ofm"
  type: INT16
  shape { dim: 1 dim: 3 dim: 3 dim: 1 }
  quant { min: -255 max: 255 scale: 1.0 zero_point: 0 }
}
operation {
  type: "Quantize"
  input: "ofm_q"
  output: "ofm"
}
input: "ifm"
output: "ofm"