def METHOD_NAME():
    # Try without depth transformation
    # 3DCNN  workloads
    verify_conv3d_ncdhw(1, 61, 20, 120, 3, 3, 1, 0)
    verify_conv3d_ncdhw(1, 61, 20, 120, 1, 3, 1, 0)
    verify_conv3d_ncdhw(1, 61, 20, 120, 5, 3, 1, 0)
    verify_conv3d_ncdhw(1, 61, 20, 120, 5, 5, 1, 2)
    verify_conv3d_ncdhw(1, 61, 20, 120, 1, 5, 1, 2)
    verify_conv3d_ncdhw(1, 61, 20, 120, 7, 7, 1, 3)
    verify_conv3d_ncdhw(1, 128, 12, 256, 3, 3, 1, 1)
    verify_conv3d_ncdhw(1, 64, 12, 128, 3, 3, 1, 1)
    # bias, relu
    verify_conv3d_ncdhw(1, 64, 12, 128, 3, 3, 1, 1, add_relu=True)
    verify_conv3d_ncdhw(1, 64, 12, 128, 3, 3, 1, 1, add_relu=True, add_bias=True)
    verify_conv3d_ncdhw(1, 64, 12, 128, 1, 3, 1, 1, add_relu=True, add_bias=True)
    # dilation = 2
    verify_conv3d_ncdhw(1, 16, 12, 16, 3, 3, 1, "VALID", dilation=2)
    verify_conv3d_ncdhw(1, 16, 12, 16, 1, 3, 1, "VALID", dilation=2)
    # batch size
    verify_conv3d_ncdhw(4, 32, 12, 64, 3, 3, 1, 1)
    verify_conv3d_ncdhw(4, 32, 12, 64, 1, 3, 1, 1)
    # weird workloads
    verify_conv3d_ncdhw(2, 2, 2, 2, 3, 3, 1, 2)
    verify_conv3d_ncdhw(3, 3, 3, 3, 3, 3, 1, 3)