{ // softsign: The calculation follows the expression x / (1 + |x|).
  "tests": [
    {
      "name": "softsign positive float32 1D constant tensor",
      "inputs": {
        "x": {
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          "type": "float32",
          "constant": true
        }
      },
      "expected": {
        "name": "output",
        "shape": [24],
        "data": [
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        "type": "float32"
      }
    },
    {
      "name": "softsign positive float32 1D tensor",
      "inputs": {
        "x": {
          "shape": [24],
          "data": [
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          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "shape": [24],
        "data": [
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        "type": "float32"
      }
    },
    {
      "name": "softsign negative float32 1D tensor",
      "inputs": {
        "x": {
          "shape": [24],
          "data": [
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            -1.5911732471016933,
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          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "shape": [24],
        "data": [
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        "type": "float32"
      }
    },
    {
      "name": "softsign float32 2D tensor",
      "inputs": {
        "x": {
          "shape": [4, 6],
          "data": [
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          "type": "float32"
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      },
      "expected": {
        "name": "output",
        "shape": [4, 6],
        "data": [
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        "type": "float32"
      }
    },
    {
      "name": "softsign float32 3D tensor",
      "inputs": {
        "x": {
          "shape": [2, 3, 4],
          "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"
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    },
    {
      "name": "softsign float32 4D tensor",
      "inputs": {
        "x": {
          "shape": [1, 2, 3, 4],
          "data": [
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      "expected": {
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        "data": [
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    },
    {
      "name": "softsign float32 5D tensor",
      "inputs": {
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          "data": [
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      "expected": {
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}