operators/tensor/depthwise_conv2d_1x1/depthwise_conv2d_1x1_ERRORIF_WrongInputList_1x2x4x5_bf16xbf16_accf32_st11_pad0000_dilat11/test.json

{
  version: {
    _major: 0,
    _minor: 60,
    _patch: 0,
    _draft: false
  },
  regions: [
    {
      name: "main",
      blocks: [
        {
          name: "main",
          operators: [
            {
              op: "CONST",
              attribute_type: "NONE",
              inputs: [

              ],
              outputs: [
                "const-1"
              ]
            },
            {
              op: "CONST",
              attribute_type: "NONE",
              inputs: [

              ],
              outputs: [
                "const-2"
              ]
            },
            {
              op: "DEPTHWISE_CONV2D",
              attribute_type: "ConvAttribute",
              attribute: {
                pad: [
                  0,
                  0,
                  0,
                  0
                ],
                stride: [
                  1,
                  1
                ],
                dilation: [
                  1,
                  1
                ],
                input_zp: 0,
                weight_zp: 0
              },
              inputs: [
                "input-0",
                "const-1",
                "const-2",
                "eiDummyInput"
              ],
              outputs: [
                "result-0"
              ]
            }
          ],
          tensors: [
            {
              name: "input-0",
              shape: [
                1,
                2,
                4,
                5
              ],
              type: "BF16"
            },
            {
              name: "const-1",
              shape: [
                1,
                1,
                5,
                2
              ],
              type: "BF16",
              data: [
                0,
                0,
                171,
                62,
                0,
                0,
                41,
                62,
                0,
                0,
                230,
                62,
                0,
                0,
                206,
                62,
                0,
                0,
                68,
                63,
                0,
                0,
                100,
                63,
                0,
                0,
                39,
                63,
                0,
                0,
                254,
                61,
                0,
                0,
                151,
                62,
                0,
                0,
                105,
                63
              ]
            },
            {
              name: "const-2",
              shape: [
                10
              ],
              type: "FP32",
              data: [
                110,
                186,
                181,
                61,
                105,
                79,
                208,
                62,
                252,
                71,
                113,
                63,
                197,
                94,
                115,
                63,
                57,
                137,
                210,
                62,
                134,
                218,
                42,
                63,
                143,
                218,
                233,
                62,
                202,
                226,
                64,
                63,
                109,
                91,
                1,
                61,
                239,
                157,
                19,
                62
              ]
            },
            {
              name: "result-0",
              shape: [
                1,
                2,
                4,
                10
              ],
              type: "FP32"
            }
          ],
          inputs: [
            "input-0"
          ],
          outputs: [
            "result-0"
          ]
        }
      ]
    }
  ]
}