tensorflow/core/ops/compat/ops_history_v1/LogUniformCandidateSampler.pbtxt

op {
  name: "LogUniformCandidateSampler"
  input_arg {
    name: "true_classes"
    type: DT_INT64
  }
  output_arg {
    name: "sampled_candidates"
    type: DT_INT64
  }
  output_arg {
    name: "true_expected_count"
    type: DT_FLOAT
  }
  output_arg {
    name: "sampled_expected_count"
    type: DT_FLOAT
  }
  attr {
    name: "num_true"
    type: "int"
    has_minimum: true
    minimum: 1
  }
  attr {
    name: "num_sampled"
    type: "int"
    has_minimum: true
    minimum: 1
  }
  attr {
    name: "unique"
    type: "bool"
  }
  attr {
    name: "range_max"
    type: "int"
    has_minimum: true
    minimum: 1
  }
  attr {
    name: "seed"
    type: "int"
    default_value {
      i: 0
    }
  }
  attr {
    name: "seed2"
    type: "int"
    default_value {
      i: 0
    }
  }
}
op {
  name: "LogUniformCandidateSampler"
  input_arg {
    name: "true_classes"
    type: DT_INT64
  }
  output_arg {
    name: "sampled_candidates"
    type: DT_INT64
  }
  output_arg {
    name: "true_expected_count"
    type: DT_FLOAT
  }
  output_arg {
    name: "sampled_expected_count"
    type: DT_FLOAT
  }
  attr {
    name: "num_true"
    type: "int"
    has_minimum: true
    minimum: 1
  }
  attr {
    name: "num_sampled"
    type: "int"
    has_minimum: true
    minimum: 1
  }
  attr {
    name: "unique"
    type: "bool"
  }
  attr {
    name: "range_max"
    type: "int"
    has_minimum: true
    minimum: 1
  }
  attr {
    name: "seed"
    type: "int"
    default_value {
      i: 0
    }
  }
  attr {
    name: "seed2"
    type: "int"
    default_value {
      i: 0
    }
  }
  is_stateful: true
}