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path: root/res/TensorFlowLiteRecipes/Net_Conv_Add_Mul_002/test.recipe
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operand {
  name: "ifm_conv"
  type: FLOAT32
  shape { dim: 1 dim: 64 dim: 64 dim: 32 }
}
operand {
  name: "filter"
  type: FLOAT32
  shape { dim: 64 dim: 1 dim: 1 dim: 32 }
  filler {
    tag: "gaussian"
    arg: "0.0"
    arg: "1.0"
  }
}
operand {
  name: "bias"
  type: FLOAT32
  shape { dim: 64 }
  filler {
    tag: "gaussian"
    arg: "0.0"
    arg: "1.0"
  }
}
operand {
  name: "ofm_conv"
  type: FLOAT32
  shape { dim: 1 dim: 32 dim: 32 dim: 64 }
}
operand {
  name: "mul_const"
  type: FLOAT32
  shape { dim: 1 dim: 1 dim: 1 dim: 64 }
  filler {
    tag: "gaussian"
    arg: "0.0"
    arg: "1.0"
  }
}
operand {
  name: "add_const"
  type: FLOAT32
  shape { dim: 1 dim: 1 dim: 1 dim: 64 }
  filler {
    tag: "gaussian"
    arg: "0.0"
    arg: "1.0"
  }
}
operand { 
  name: "ofm_mul"
  type: FLOAT32
  shape { dim: 1 dim: 32 dim: 32 dim: 64 }
}
operand {
  name: "ofm_add"
  type: FLOAT32
  shape { dim: 1 dim: 32 dim: 32 dim: 64 }
}
operation {
  type: "Conv2D"
  conv2d_options {
    padding: VALID
    stride_w: 2
    stride_h: 2
  }
  input: "ifm_conv"
  input: "filter"
  input: "bias"
  output: "ofm_conv"
}
operation {
  type: "Mul"
  input: "mul_const"
  input: "ofm_conv"
  output: "ofm_mul"
  mul_options {
    activation: NONE
  }
}
operation {
  type: "Add"
  input: "add_const"
  input: "ofm_mul"
  output: "ofm_add"
  add_options {
    activation: NONE
  }
}
input: "ifm_conv"
output: "ofm_add"