{ // softplus: The calculation follows the expression ln(1 + exp(steepness * x)) / steepness.
  "tests": [
    {
      "name": "softplus float32 1D constant tensor default options", // default options: {steepness: 1}
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          "type": "float32",
          "constant": true
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      },
      "expected": {
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        "type": "float32"
     }
    },
    {
      "name": "softplus float32 1D tensor default options", // default options: {steepness: 1}
      "inputs": {
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          "type": "float32"
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      },
      "expected": {
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        "shape": [24],
        "data": [
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        "type": "float32"
     }
    },
    {
      "name": "softplus float32 2D tensor default options",
      "inputs": {
        "x": {
          "shape": [4, 6],
          "data": [
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          "type": "float32"
        }
      },
      "expected": {
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        "shape": [4, 6],
        "data": [
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        "type": "float32"
     }
    },
    {
      "name": "softplus float32 3D tensor default options",
      "inputs": {
        "x": {
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          "data": [
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          "type": "float32"
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      },
      "expected": {
        "name": "output",
        "shape": [2, 3, 4],
        "data": [
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        "type": "float32"
     }
    },
    {
      "name": "softplus float32 4D tensor default options",
      "inputs": {
        "x": {
          "shape": [1, 2, 3, 4],
          "data": [
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          "type": "float32"
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      },
      "expected": {
        "name": "output",
        "shape": [1, 2, 3, 4],
        "data": [
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    },
    {
      "name": "softplus float32 5D tensor default options",
      "inputs": {
        "x": {
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      "expected": {
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        "shape": [1, 2, 1, 3, 4],
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    {
      "name": "softplus both positive float32 4D tensor and options.steepness",
      "inputs": {
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    {
      "name": "softplus both negative float32 4D tensor and options.steepness",
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}