[
  {
    "name": "ConvTranspose without bias addition A",
    "operator": "ConvTranspose",
    "attributes": [{ "name": "kernel_shape", "data": [2, 2], "type": "ints" }],
    "cases": [
      {
        "name": "T[0]",
        "inputs": [
          {
            "data": [10, 20, 30, 40],
            "dims": [1, 1, 2, 2],
            "type": "float32"
          },
          {
            "data": [1, 2, 3, 4],
            "dims": [1, 1, 2, 2],
            "type": "float32"
          }
        ],
        "outputs": [
          {
            "data": [10, 40, 40, 60, 200, 160, 90, 240, 160],
            "dims": [1, 1, 3, 3],
            "type": "float32"
          }
        ]
      }
    ]
  },
  {
    "name": "ConvTranspose without bias addition B",
    "operator": "ConvTranspose",
    "attributes": [{ "name": "kernel_shape", "data": [2, 2], "type": "ints" }],
    "cases": [
      {
        "name": "T[0]",
        "inputs": [
          {
            "data": [10, 20, 30, 40, 50, 60, 70, 80],
            "dims": [1, 2, 2, 2],
            "type": "float32"
          },
          {
            "data": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],
            "dims": [2, 2, 2, 2],
            "type": "float32"
          }
        ],
        "outputs": [
          {
            "data": [
              400, 940, 560, 1080, 2520, 1480, 760, 1740, 1000, 640, 1500, 880, 1720, 3960, 2280, 1160, 2620, 1480
            ],
            "dims": [1, 2, 3, 3],
            "type": "float32"
          }
        ]
      }
    ]
  },
  {
    "name": "ConvTranspose with bias addition A",
    "operator": "ConvTranspose",
    "attributes": [{ "name": "kernel_shape", "data": [2, 2], "type": "ints" }],
    "cases": [
      {
        "name": "T[0]",
        "inputs": [
          {
            "data": [10, 20, 30, 40],
            "dims": [1, 4, 1, 1],
            "type": "float32"
          },
          {
            "data": [
              1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
              1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
            ],
            "dims": [4, 4, 2, 2],
            "type": "float32"
          },
          {
            "data": [0.1, 0.2, 0.3, 0.4],
            "dims": [4],
            "type": "float32"
          }
        ],
        "outputs": [
          {
            "data": [
              100.0999984741211, 100.0999984741211, 100.0999984741211, 100.0999984741211, 100.19999694824219,
              100.19999694824219, 100.19999694824219, 100.19999694824219, 100.30000305175781, 100.30000305175781,
              100.30000305175781, 100.30000305175781, 100.4000015258789, 100.4000015258789, 100.4000015258789,
              100.4000015258789
            ],
            "dims": [1, 4, 2, 2],
            "type": "float32"
          }
        ]
      }
    ]
  },
  {
    "name": "ConvTranspose with bias addition B",
    "operator": "ConvTranspose",
    "attributes": [{ "name": "kernel_shape", "data": [2, 2], "type": "ints" }],
    "cases": [
      {
        "name": "T[0]",
        "inputs": [
          {
            "data": [6, 8, 7, 9, 15, 11, 8, 12, 9],
            "dims": [1, 1, 3, 3],
            "type": "float32"
          },
          {
            "data": [1, 1, 1, 1],
            "dims": [1, 1, 2, 2],
            "type": "float32"
          },
          {
            "data": [5],
            "dims": [1],
            "type": "float32"
          }
        ],
        "outputs": [
          {
            "data": [11, 19, 20, 12, 20, 43, 46, 23, 22, 49, 52, 25, 13, 25, 26, 14],
            "dims": [1, 1, 4, 4],
            "type": "float32"
          }
        ]
      }
    ]
  },
  {
    "name": "ConvTranspose- group - A",
    "operator": "ConvTranspose",
    "attributes": [
      { "name": "kernel_shape", "data": [1, 1], "type": "ints" },
      { "name": "group", "data": 2, "type": "int" }
    ],
    "cases": [
      {
        "name": "T[0]",
        "inputs": [
          {
            "data": [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 18.0, 20.0, 22.0, 24.0, 26.0, 28.0, 30.0, 32.0, 34.0],
            "dims": [1, 2, 3, 3],
            "type": "float32"
          },
          {
            "data": [1.0, 2.0],
            "dims": [2, 1, 1, 1],
            "type": "float32"
          }
        ],
        "outputs": [
          {
            "data": [0, 1, 2, 3, 4, 5, 6, 7, 8, 36, 40, 44, 48, 52, 56, 60, 64, 68],
            "dims": [1, 2, 3, 3],
            "type": "float32"
          }
        ]
      }
    ]
  },
  {
    "name": "ConvTranspose- group - B",
    "operator": "ConvTranspose",
    "attributes": [
      { "name": "kernel_shape", "data": [2, 2], "type": "ints" },
      { "name": "group", "data": 3, "type": "int" }
    ],
    "cases": [
      {
        "name": "T[0]",
        "inputs": [
          {
            "data": [
              0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0,
              19.0, 20.0, 21.0, 22.0, 23.0, 0, 0, 0
            ],
            "dims": [1, 3, 3, 3],
            "type": "float32"
          },
          {
            "data": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0],
            "dims": [3, 1, 2, 2],
            "type": "float32"
          },
          {
            "data": [0.125, 0.25, 0.375],
            "dims": [3],
            "type": "float32"
          }
        ],
        "outputs": [
          {
            "data": [
              0.125, 1.125, 4.125, 4.125, 3.125, 13.125, 23.125, 18.125, 15.125, 43.125, 53.125, 36.125, 18.125, 45.125,
              52.125, 32.125, 45.25, 104.25, 115.25, 66.25, 123.25, 279.25, 305.25, 172.25, 159.25, 357.25, 383.25,
              214.25, 105.25, 232.25, 247.25, 136.25, 162.375, 351.375, 370.375, 200.375, 387.375, 833.375, 875.375,
              470.375, 231.375, 494.375, 517.375, 276.375, 0.375, 0.375, 0.375, 0.375
            ],
            "dims": [1, 3, 4, 4],
            "type": "float32"
          }
        ]
      }
    ]
  },
  {
    "name": "ConvTranspose- group - C",
    "operator": "ConvTranspose",
    "attributes": [
      { "name": "kernel_shape", "data": [2, 2], "type": "ints" },
      { "name": "group", "data": 3, "type": "int" }
    ],
    "cases": [
      {
        "name": "T[0]",
        "inputs": [
          {
            "data": [
              0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0,
              19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0
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            "dims": [1, 3, 3, 4],
            "type": "float32"
          },
          {
            "data": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0],
            "dims": [3, 1, 2, 2],
            "type": "float32"
          }
        ],
        "outputs": [
          {
            "data": [
              0, 1, 4, 7, 6, 4, 16, 26, 36, 26, 20, 56, 66, 76, 50, 24, 59, 66, 73, 44, 60, 137, 148, 159, 90, 164, 368,
              394, 420, 234, 212, 472, 498, 524, 290, 140, 307, 322, 337, 184, 216, 465, 484, 503, 270, 516, 1104, 1146,
              1188, 634, 596, 1272, 1314, 1356, 722, 352, 747, 770, 793, 420
            ],
            "dims": [1, 3, 4, 5],
            "type": "float32"
          }
        ]
      }
    ]
  },

  {
    "name": "ConvTranspose- pointwise",
    "operator": "ConvTranspose",
    "attributes": [{ "name": "kernel_shape", "data": [1, 1], "type": "ints" }],
    "cases": [
      {
        "name": "T[0]",
        "inputs": [
          {
            "data": [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0],
            "dims": [1, 2, 2, 2],
            "type": "float32"
          },
          {
            "data": [0.0, 1.0, 2.0, 3.0],
            "dims": [2, 2, 1, 1],
            "type": "float32"
          },
          {
            "data": [1, 2],
            "dims": [2],
            "type": "float32"
          }
        ],
        "outputs": [
          {
            "data": [9, 11, 13, 15, 14, 18, 22, 26],
            "dims": [1, 2, 2, 2],
            "type": "float32"
          }
        ]
      }
    ]
  }
]