{ // linear: Calculate a linear function y = alpha * x + beta on the input tensor.
  "tests": [
    {
      "name": "linear float32 1D constant tensor default options", // default options: {alpha: 1, beta: 0}
      "inputs": {
        "x": {
          "shape": [24],
          "data": [
            -1.1225161816883542,
            -6.605223195131225,
            -1.9555539248683687,
            -4.598548331438281,
            4.234208072658522,
            3.097542121236385,
            3.7465923873418348,
            -4.487029772637743,
            6.407402114982858,
            -4.354544013606705,
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            3.7214346452179328,
            -6.330114110872294,
            8.580595073862398,
            -6.764922344398516,
            6.433565829855674,
            -9.708685944356201,
            2.6431380232113746,
            5.214088864824586,
            9.658617012096975,
            -8.72174939837989,
            -0.4533396492565025,
            9.992619953447026,
            -6.469674921617137
          ],
          "type": "float32",
          "constant": true
        }
      },
      "expected": {
        "name": "output",
        "shape": [24],
        "data": [
          -1.12251615524292,
          -6.605223178863525,
          -1.9555538892745972,
          -4.598548412322998,
          4.234208106994629,
          3.0975420475006104,
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          -5.819092750549316,
          3.7214345932006836,
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          8.580595016479492,
          -6.764922142028809,
          6.433565616607666,
          -9.708685874938965,
          2.6431379318237305,
          5.2140889167785645,
          9.65861701965332,
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          9.992619514465332,
          -6.469675064086914
        ],
        "type": "float32"
      }
    },
    {
      "name": "linear float32 1D tensor default options", // default options: {alpha: 1, beta: 0}
      "inputs": {
        "x": {
          "shape": [24],
          "data": [
            -1.1225161816883542,
            -6.605223195131225,
            -1.9555539248683687,
            -4.598548331438281,
            4.234208072658522,
            3.097542121236385,
            3.7465923873418348,
            -4.487029772637743,
            6.407402114982858,
            -4.354544013606705,
            -5.8190925441357955,
            3.7214346452179328,
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            8.580595073862398,
            -6.764922344398516,
            6.433565829855674,
            -9.708685944356201,
            2.6431380232113746,
            5.214088864824586,
            9.658617012096975,
            -8.72174939837989,
            -0.4533396492565025,
            9.992619953447026,
            -6.469674921617137
          ],
          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "shape": [24],
        "data": [
          -1.12251615524292,
          -6.605223178863525,
          -1.9555538892745972,
          -4.598548412322998,
          4.234208106994629,
          3.0975420475006104,
          3.7465922832489014,
          -4.487029552459717,
          6.407402038574219,
          -4.354544162750244,
          -5.819092750549316,
          3.7214345932006836,
          -6.330113887786865,
          8.580595016479492,
          -6.764922142028809,
          6.433565616607666,
          -9.708685874938965,
          2.6431379318237305,
          5.2140889167785645,
          9.65861701965332,
          -8.721749305725098,
          -0.4533396363258362,
          9.992619514465332,
          -6.469675064086914
        ],
        "type": "float32"
      }
    },
    {
      "name": "linear float32 2D tensor default options",
      "inputs": {
        "x": {
          "shape": [4, 6],
          "data": [
            -1.1225161816883542,
            -6.605223195131225,
            -1.9555539248683687,
            -4.598548331438281,
            4.234208072658522,
            3.097542121236385,
            3.7465923873418348,
            -4.487029772637743,
            6.407402114982858,
            -4.354544013606705,
            -5.8190925441357955,
            3.7214346452179328,
            -6.330114110872294,
            8.580595073862398,
            -6.764922344398516,
            6.433565829855674,
            -9.708685944356201,
            2.6431380232113746,
            5.214088864824586,
            9.658617012096975,
            -8.72174939837989,
            -0.4533396492565025,
            9.992619953447026,
            -6.469674921617137
          ],
          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "shape": [4, 6],
        "data": [
          -1.12251615524292,
          -6.605223178863525,
          -1.9555538892745972,
          -4.598548412322998,
          4.234208106994629,
          3.0975420475006104,
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          -6.469675064086914
        ],
        "type": "float32"
      }
    },
    {
      "name": "linear float32 3D tensor default options",
      "inputs": {
        "x": {
          "shape": [2, 3, 4],
          "data": [
            -1.1225161816883542,
            -6.605223195131225,
            -1.9555539248683687,
            -4.598548331438281,
            4.234208072658522,
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            6.433565829855674,
            -9.708685944356201,
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            5.214088864824586,
            9.658617012096975,
            -8.72174939837989,
            -0.4533396492565025,
            9.992619953447026,
            -6.469674921617137
          ],
          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "shape": [2, 3, 4],
        "data": [
          -1.12251615524292,
          -6.605223178863525,
          -1.9555538892745972,
          -4.598548412322998,
          4.234208106994629,
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        ],
        "type": "float32"
      }
    },
    {
      "name": "linear float32 4D tensor default options",
      "inputs": {
        "x": {
          "shape": [2, 2, 2, 3],
          "data": [
            -1.1225161816883542,
            -6.605223195131225,
            -1.9555539248683687,
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            -0.4533396492565025,
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            -6.469674921617137
          ],
          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "shape": [2, 2, 2, 3],
        "data": [
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        ],
        "type": "float32"
      }
    },
    {
      "name": "linear float32 5D tensor default options",
      "inputs": {
        "x": {
          "shape": [2, 1, 4, 1, 3],
          "data": [
            -1.1225161816883542,
            -6.605223195131225,
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          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "shape": [2, 1, 4, 1, 3],
        "data": [
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    },
    {
      "name": "linear float32 4D tensor specified options.alpha and default options.beta",
      "inputs": {
        "x": {
         "shape": [2, 2, 2, 3],
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      },
      "options": {
        "alpha": 7.398793812746618
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      "expected": {
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        "shape": [2, 2, 2, 3],
        "data": [
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    },
    {
      "name": "linear float32 positive 4D tensor specified positive options.beta and default options.alpha",
      "inputs": {
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    {
      "name": "linear float32 negative 4D tensor specified negative options.beta and default options.alpha",
      "inputs": {
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    {
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    {
      "name": "linear float32 positive 4D tensor all options (negative options.alpha and negative options.beta)",
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