[
  {
    "name": "ConvTranspose without bias addition A",
    "operator": "ConvTranspose",
    "attributes": [{ "name": "kernel_shape", "data": [2, 2], "type": "ints" }],
    "cases": [
      {
        "name": "T[0]",
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            "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 A - NHWC",
    "inputShapeDefinitions": "rankOnly",
    "opset": { "domain": "", "version": 17 },
    "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": [
          {
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            "dims": [1, 2, 2, 2],
            "type": "float32"
          },
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            "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": [
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            "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": [
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            "type": "float32"
          },
          {
            "data": [65, 66, 67, 68],
            "dims": [4],
            "type": "float32"
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        ],
        "outputs": [
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            "data": [3365, 3465, 3565, 3665, 3766, 3866, 3966, 4066, 4167, 4267, 4367, 4467, 4568, 4668, 4768, 4868],
            "dims": [1, 4, 2, 2],
            "type": "float32"
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        ]
      }
    ]
  },
  {
    "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, 2, 3, 4],
            "dims": [1, 1, 2, 2],
            "type": "float32"
          },
          {
            "data": [5],
            "dims": [1],
            "type": "float32"
          }
        ],
        "outputs": [
          {
            "data": [11, 25, 28, 19, 32, 86, 99, 55, 40, 114, 131, 67, 29, 73, 80, 41],
            "dims": [1, 1, 4, 4],
            "type": "float32"
          }
        ]
      }
    ]
  },
  {
    "name": "ConvTranspose with bias addition B - NHWC",
    "operator": "ConvTranspose",
    "inputShapeDefinitions": "rankOnly",
    "opset": { "domain": "", "version": 17 },
    "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, 2, 3, 4],
            "dims": [1, 1, 2, 2],
            "type": "float32"
          },
          {
            "data": [5],
            "dims": [1],
            "type": "float32"
          }
        ],
        "outputs": [
          {
            "data": [11, 25, 28, 19, 32, 86, 99, 55, 40, 114, 131, 67, 29, 73, 80, 41],
            "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"
          }
        ]
      }
    ]
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    "name": "ConvTranspose- group - B",
    "operator": "ConvTranspose",
    "attributes": [
      { "name": "kernel_shape", "data": [2, 2], "type": "ints" },
      { "name": "group", "data": 3, "type": "int" }
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    "cases": [
      {
        "name": "T[0]",
        "inputs": [
          {
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            "type": "float32"
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          {
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            "dims": [3, 1, 2, 2],
            "type": "float32"
          },
          {
            "data": [0.125, 0.25, 0.375],
            "dims": [3],
            "type": "float32"
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        "outputs": [
          {
            "data": [
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    ]
  },
  {
    "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": [
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            "dims": [1, 3, 3, 4],
            "type": "float32"
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            "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"
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            "data": [
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            "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"
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          {
            "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"
          }
        ]
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    ]
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  {
    "name": "ConvTranspose with bias addition C",
    "operator": "ConvTranspose",
    "inputShapeDefinitions": "rankOnly",
    "opset": { "domain": "", "version": 17 },
    "attributes": [{ "name": "kernel_shape", "data": [1, 1], "type": "ints" }],
    "cases": [
      {
        "name": "T[0]",
        "inputs": [
          {
            "data": [
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            "dims": [1, 4, 4, 4],
            "type": "float32"
          },
          {
            "data": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16],
            "dims": [4, 4, 1, 1],
            "type": "float32"
          },
          {
            "data": [1, 2, 3, 4],
            "dims": [4],
            "type": "float32"
          }
        ],
        "outputs": [
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            "data": [
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            "dims": [1, 4, 4, 4],
            "type": "float32"
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  }
]