{
  "tests": [
    {
      "name": "reduceLogSumExp float32 1D constant tensor all positive default options", // default options: {axes: null, keepDimensions: false}
      "inputs": {
        "input": {
          "shape": [24],
          "data": [
            0.7974132976078829,
            5.046889970229296,
            8.520371090961714,
            1.4063042363728728,
            0.11882661415275164,
            0.285854490277071,
            1.9325640291685864,
            3.7939957856803797,
            2.6040233063490925,
            4.937509735746763,
            4.571482286709769,
            0.7865120436262685,
            0.21018670996660216,
            9.063042370844672,
            4.099809553408898,
            4.596248815627706,
            0.2549232349678032,
            1.1594801326588255,
            6.802876838759606,
            5.23432518570901,
            8.914905562420849,
            9.166799240859705,
            5.71750713886038,
            0.3255050658627967
          ],
          "type": "float32",
          "constant": true
        }
      },
      "expected": {
        "name": "output",
        "data": 10.39477825164795,
        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 1D tensor all positive default options", // default options: {axes: null, keepDimensions: false}
      "inputs": {
        "input": {
          "shape": [24],
          "data": [
            0.7974132976078829,
            5.046889970229296,
            8.520371090961714,
            1.4063042363728728,
            0.11882661415275164,
            0.285854490277071,
            1.9325640291685864,
            3.7939957856803797,
            2.6040233063490925,
            4.937509735746763,
            4.571482286709769,
            0.7865120436262685,
            0.21018670996660216,
            9.063042370844672,
            4.099809553408898,
            4.596248815627706,
            0.2549232349678032,
            1.1594801326588255,
            6.802876838759606,
            5.23432518570901,
            8.914905562420849,
            9.166799240859705,
            5.71750713886038,
            0.3255050658627967
          ],
          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "data": 10.39477825164795,
        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 1D tensor all negative default options",
      "inputs": {
        "input": {
          "shape": [24],
          "data": [
            -4.025670276125137,
            -9.44434807349057,
            -3.1193981742372,
            -5.943697868896303,
            -0.37018045102283637,
            -4.3971262954406605,
            -6.6059682563332744,
            -5.534277354031625,
            -7.361471172291552,
            -1.9987547534811796,
            -9.093968158437377,
            -8.693618799659165,
            -8.416788434713155,
            -1.010741070662755,
            -9.814584506221344,
            -9.725259665431539,
            -9.157071010493805,
            -0.0016988189527857855,
            -9.963414768875285,
            -5.991659641614526,
            -6.180599892028498,
            -1.2336505614624649,
            -0.44234340543470196,
            -6.990072309054243
          ],
          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "data": 1.1666961908340454,
        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 1D tensor all positive integers default options", // test with float32 values which are equivalent to integers
      "inputs": {
        "input": {
          "shape": [24],
          "data": [
            1,
            5,
            7,
            5,
            7,
            5,
            4,
            2,
            1,
            5,
            8,
            2,
            4,
            1,
            4,
            5,
            4,
            8,
            6,
            2,
            7,
            7,
            8,
            5
          ],
          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "data": 9.607237815856934,
        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 1D tensor all negative integers default options", // test with float32 values which are equivalent to integers
      "inputs": {
        "input": {
          "shape": [24],
          "data": [
            -6,
            -3,
            -5,
            -1,
            -9,
            -5,
            -1,
            -2,
            -10,
            -1,
            -5,
            -7,
            -7,
            -3,
            -10,
            -10,
            -8,
            -6,
            -2,
            -6,
            -1,
            -9,
            -5,
            -2
          ],
          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "data": 0.7001367211341858,
        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 2D tensor default options",
      "inputs": {
        "input": {
          "shape": [4, 6],
          "data": [
            0.7974132976078829,
            5.046889970229296,
            8.520371090961714,
            1.4063042363728728,
            0.11882661415275164,
            0.285854490277071,
            1.9325640291685864,
            3.7939957856803797,
            2.6040233063490925,
            4.937509735746763,
            4.571482286709769,
            0.7865120436262685,
            0.21018670996660216,
            9.063042370844672,
            4.099809553408898,
            4.596248815627706,
            0.2549232349678032,
            1.1594801326588255,
            6.802876838759606,
            5.23432518570901,
            8.914905562420849,
            9.166799240859705,
            5.71750713886038,
            0.3255050658627967
          ],
          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "data": 10.39477825164795,
        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 3D tensor default options",
      "inputs": {
        "input": {
          "shape": [2, 3, 4],
          "data": [
            0.7974132976078829,
            5.046889970229296,
            8.520371090961714,
            1.4063042363728728,
            0.11882661415275164,
            0.285854490277071,
            1.9325640291685864,
            3.7939957856803797,
            2.6040233063490925,
            4.937509735746763,
            4.571482286709769,
            0.7865120436262685,
            0.21018670996660216,
            9.063042370844672,
            4.099809553408898,
            4.596248815627706,
            0.2549232349678032,
            1.1594801326588255,
            6.802876838759606,
            5.23432518570901,
            8.914905562420849,
            9.166799240859705,
            5.71750713886038,
            0.3255050658627967
          ],
          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "data": 10.39477825164795,
        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 4D tensor default options",
      "inputs": {
        "input": {
          "shape": [2, 2, 2, 3],
          "data": [
            0.7974132976078829,
            5.046889970229296,
            8.520371090961714,
            1.4063042363728728,
            0.11882661415275164,
            0.285854490277071,
            1.9325640291685864,
            3.7939957856803797,
            2.6040233063490925,
            4.937509735746763,
            4.571482286709769,
            0.7865120436262685,
            0.21018670996660216,
            9.063042370844672,
            4.099809553408898,
            4.596248815627706,
            0.2549232349678032,
            1.1594801326588255,
            6.802876838759606,
            5.23432518570901,
            8.914905562420849,
            9.166799240859705,
            5.71750713886038,
            0.3255050658627967
          ],
          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "data": 10.39477825164795,
        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 5D tensor default options",
      "inputs": {
        "input": {
          "shape": [2, 1, 4, 1, 3],
          "data": [
            0.7974132976078829,
            5.046889970229296,
            8.520371090961714,
            1.4063042363728728,
            0.11882661415275164,
            0.285854490277071,
            1.9325640291685864,
            3.7939957856803797,
            2.6040233063490925,
            4.937509735746763,
            4.571482286709769,
            0.7865120436262685,
            0.21018670996660216,
            9.063042370844672,
            4.099809553408898,
            4.596248815627706,
            0.2549232349678032,
            1.1594801326588255,
            6.802876838759606,
            5.23432518570901,
            8.914905562420849,
            9.166799240859705,
            5.71750713886038,
            0.3255050658627967
          ],
          "type": "float32"
        }
      },
      "expected": {
        "name": "output",
        "data": 10.39477825164795,
        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 3D tensor options.axes",
      "inputs": {
        "input": {
          "shape": [2, 3, 4],
          "data": [
            0.7974132976078829,
            5.046889970229296,
            8.520371090961714,
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            0.11882661415275164,
            0.285854490277071,
            1.9325640291685864,
            3.7939957856803797,
            2.6040233063490925,
            4.937509735746763,
            4.571482286709769,
            0.7865120436262685,
            0.21018670996660216,
            9.063042370844672,
            4.099809553408898,
            4.596248815627706,
            0.2549232349678032,
            1.1594801326588255,
            6.802876838759606,
            5.23432518570901,
            8.914905562420849,
            9.166799240859705,
            5.71750713886038,
            0.3255050658627967
          ],
          "type": "float32"
        }
      },
      "options": {
        "axes": [2]
      },
      "expected": {
        "name": "output",
        "shape": [2, 3],
        "data": [
          8.55212688446045,
          3.985233783721924,
          5.52872896194458,
          9.081488609313965,
          6.996237754821777,
          9.759706497192383
        ],
        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 4D tensor options.axes",
      "inputs": {
        "input": {
          "shape": [2, 2, 2, 3],
          "data": [
            0.7974132976078829,
            5.046889970229296,
            8.520371090961714,
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            0.11882661415275164,
            0.285854490277071,
            1.9325640291685864,
            3.7939957856803797,
            2.6040233063490925,
            4.937509735746763,
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            0.7865120436262685,
            0.21018670996660216,
            9.063042370844672,
            4.099809553408898,
            4.596248815627706,
            0.2549232349678032,
            1.1594801326588255,
            6.802876838759606,
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            8.914905562420849,
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            5.71750713886038,
            0.3255050658627967
          ],
          "type": "float32"
        }
      },
      "options": {
        "axes": [0, 2]
      },
      "expected": {
        "name": "output",
        "shape": [2, 3],
        "data": [
          4.66951847076416,
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        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 3D tensor options.keepDimensions=false",
      "inputs": {
        "input": {
          "shape": [2, 3, 4],
          "data": [
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          "type": "float32"
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      },
      "options": {
        "keepDimensions": false
      },
      "expected": {
        "name": "output",
        "data": 10.39477825164795,
        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 3D tensor options.keepDimensions=true",
      "inputs": {
        "input": {
          "shape": [2, 3, 4],
          "data": [
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          "type": "float32"
        }
      },
      "options": {
        "keepDimensions": true
      },
      "expected": {
        "name": "output",
        "shape": [1, 1, 1],
        "data": [
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        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 4D tensor options.keepDimensions=false",
      "inputs": {
        "input": {
          "shape": [2, 2, 2, 3],
          "data": [
            0.7974132976078829,
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          "type": "float32"
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      },
      "options": {
        "keepDimensions": false
      },
      "expected": {
        "name": "output",
        "data": 10.39477825164795,
        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 4D tensor options.keepDimensions=true",
      "inputs": {
        "input": {
          "shape": [2, 2, 2, 3],
          "data": [
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          "type": "float32"
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      },
      "options": {
        "keepDimensions": true
      },
      "expected": {
        "name": "output",
        "shape": [1, 1, 1, 1],
        "data": [
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        "type": "float32"
      }
    },
    {
      "name": "reduceLogSumExp float32 4D tensor options.axes with options.keepDimensions=false",
      "inputs": {
        "input": {
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          "type": "float32"
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      },
      "options": {
        "axes": [1, 3]
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      "expected": {
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        "shape": [2, 2],
        "data": [
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    {
      "name": "reduceLogSumExp float32 4D tensor options.axes with options.keepDimensions=true",
      "inputs": {
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          "type": "float32"
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      },
      "options": {
        "axes": [1, 3]
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      "expected": {
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        "shape": [1, 2, 2, 1],
        "data": [
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  ]
}