operators/tensor/depthwise_conv2d_1x1/depthwise_conv2d_1x1_1x11x33x4_i16xi8_acci48_st11_pad0001_dilat77/test.json

{
  version: {
    _major: 0,
    _minor: 50,
    _patch: 0,
    _draft: false
  },
  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,
              1
            ],
            stride: [
              1,
              1
            ],
            dilation: [
              7,
              7
            ],
            input_zp: 0,
            weight_zp: 7,
            accum_dtype: "INT48"
          },
          inputs: [
            "input-0",
            "const-1",
            "const-2"
          ],
          outputs: [
            "result-0"
          ]
        }
      ],
      tensors: [
        {
          name: "input-0",
          shape: [
            1,
            11,
            33,
            4
          ],
          type: "INT16"
        },
        {
          name: "const-1",
          shape: [
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            1,
            4,
            2
          ],
          type: "INT8",
          data: [
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            190,
            151,
            197,
            100,
            236,
            188,
            195
          ]
        },
        {
          name: "const-2",
          shape: [
            8
          ],
          type: "INT48",
          data: [
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            13,
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            179,
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        },
        {
          name: "result-0",
          shape: [
            1,
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            34,
            8
          ],
          type: "INT48"
        }
      ],
      inputs: [
        "input-0"
      ],
      outputs: [
        "result-0"
      ]
    }
  ]
}