TestOperators.test_batchnorm_1d.expect

ir_version: 7
producer_name: "pytorch"
producer_version: "CURRENT_VERSION"
graph {
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    input: "input"
    input: "weight"
    input: "bias"
    input: "running_mean"
    input: "running_var"
    output: "6"
    name: "BatchNormalization_0"
    op_type: "BatchNormalization"
    attribute {
      name: "epsilon"
      f: 1e-05
      type: FLOAT
    }
    attribute {
      name: "momentum"
      f: 0.9
      type: FLOAT
    }
  }
  name: "torch_jit"
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    dims: 2
    data_type: 1
    name: "weight"
    raw_data: "\000\000\200?\000\000\200?"
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  initializer {
    dims: 2
    data_type: 1
    name: "bias"
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    dims: 2
    data_type: 1
    name: "running_var"
    raw_data: "\000\000\200?\000\000\200?"
  }
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    name: "input"
    type {
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        shape {
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          dim {
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          }
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    type {
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        shape {
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        shape {
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  input {
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    type {
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        shape {
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    type {
      tensor_type {
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        shape {
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      }
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  }
  output {
    name: "6"
    type {
      tensor_type {
        elem_type: 1
        shape {
          dim {
            dim_value: 2
          }
          dim {
            dim_value: 2
          }
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    }
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}
opset_import {
  version: 13
}