TestSparseCompressedCUDA.test_print_SparseBSC_cuda.expect

########## torch.float32/torch.int32/size=()+(3, 4)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([0, 2, 4]),
       row_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[ 1., 11.]],

                      [[ 2., 12.]],

                      [[ 3., 13.]],

                      [[ 4., 14.]]]), device='cuda:0', size=(3, 4), nnz=4,
       layout=torch.sparse_bsc)
# _ccol_indices
tensor([0, 2, 4], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([0, 1, 0, 2], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[ 1., 11.]],

        [[ 2., 12.]],

        [[ 3., 13.]],

        [[ 4., 14.]]], device='cuda:0')

########## torch.float32/torch.int32/size=()+(0, 0)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([0]),
       row_indices=tensor([], size=(0,)),
       values=tensor([], size=(0, 1, 2)), device='cuda:0', size=(0, 0), nnz=0,
       layout=torch.sparse_bsc)
# _ccol_indices
tensor([0], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([], device='cuda:0', dtype=torch.int32)
# _values
tensor([], device='cuda:0', size=(0, 1, 2))

########## torch.float32/torch.int32/size=(2,)+(6, 2)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([[0, 2, 4],
                            [0, 3, 4]]),
       row_indices=tensor([[0, 1, 0, 1],
                           [0, 1, 2, 0]]),
       values=tensor([[[[1.],
                        [2.]],

                       [[2.],
                        [3.]],

                       [[3.],
                        [4.]],

                       [[4.],
                        [5.]]],


                      [[[5.],
                        [6.]],

                       [[6.],
                        [7.]],

                       [[7.],
                        [8.]],

                       [[8.],
                        [9.]]]]), device='cuda:0', size=(2, 6, 2), nnz=4,
       layout=torch.sparse_bsc)
# _ccol_indices
tensor([[0, 2, 4],
        [0, 3, 4]], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([[0, 1, 0, 1],
        [0, 1, 2, 0]], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[1.],
          [2.]],

         [[2.],
          [3.]],

         [[3.],
          [4.]],

         [[4.],
          [5.]]],


        [[[5.],
          [6.]],

         [[6.],
          [7.]],

         [[7.],
          [8.]],

         [[8.],
          [9.]]]], device='cuda:0')

########## torch.float32/torch.int32/size=(2, 3)+(9, 4)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([[[0, 2, 4],
                             [0, 3, 4],
                             [0, 1, 4]],

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       row_indices=tensor([[[0, 1, 0, 1],
                            [0, 1, 2, 0],
                            [0, 0, 1, 2]],

                           [[1, 0, 1, 2],
                            [0, 2, 0, 1],
                            [0, 1, 2, 1]]]),
       values=tensor([[[[[ 1., 11.],
                         [ 2., 12.],
                         [ 3., 13.]],

                        [[ 2., 12.],
                         [ 3., 13.],
                         [ 4., 14.]],

                        [[ 3., 13.],
                         [ 4., 14.],
                         [ 5., 15.]],

                        [[ 4., 14.],
                         [ 5., 15.],
                         [ 6., 16.]]],


                       [[[ 5., 15.],
                         [ 6., 16.],
                         [ 7., 17.]],

                        [[ 6., 16.],
                         [ 7., 17.],
                         [ 8., 18.]],

                        [[ 7., 17.],
                         [ 8., 18.],
                         [ 9., 19.]],

                        [[ 8., 18.],
                         [ 9., 19.],
                         [10., 20.]]],


                       [[[ 9., 19.],
                         [10., 20.],
                         [11., 21.]],

                        [[10., 20.],
                         [11., 21.],
                         [12., 22.]],

                        [[11., 21.],
                         [12., 22.],
                         [13., 23.]],

                        [[12., 22.],
                         [13., 23.],
                         [14., 24.]]]],



                      [[[[13., 23.],
                         [14., 24.],
                         [15., 25.]],

                        [[14., 24.],
                         [15., 25.],
                         [16., 26.]],

                        [[15., 25.],
                         [16., 26.],
                         [17., 27.]],

                        [[16., 26.],
                         [17., 27.],
                         [18., 28.]]],


                       [[[17., 27.],
                         [18., 28.],
                         [19., 29.]],

                        [[18., 28.],
                         [19., 29.],
                         [20., 30.]],

                        [[19., 29.],
                         [20., 30.],
                         [21., 31.]],

                        [[20., 30.],
                         [21., 31.],
                         [22., 32.]]],


                       [[[21., 31.],
                         [22., 32.],
                         [23., 33.]],

                        [[22., 32.],
                         [23., 33.],
                         [24., 34.]],

                        [[23., 33.],
                         [24., 34.],
                         [25., 35.]],

                        [[24., 34.],
                         [25., 35.],
                         [26., 36.]]]]]), device='cuda:0', size=(2, 3, 9, 4),
       nnz=4, layout=torch.sparse_bsc)
# _ccol_indices
tensor([[[0, 2, 4],
         [0, 3, 4],
         [0, 1, 4]],

        [[0, 1, 4],
         [0, 2, 4],
         [0, 3, 4]]], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([[[0, 1, 0, 1],
         [0, 1, 2, 0],
         [0, 0, 1, 2]],

        [[1, 0, 1, 2],
         [0, 2, 0, 1],
         [0, 1, 2, 1]]], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[[ 1., 11.],
           [ 2., 12.],
           [ 3., 13.]],

          [[ 2., 12.],
           [ 3., 13.],
           [ 4., 14.]],

          [[ 3., 13.],
           [ 4., 14.],
           [ 5., 15.]],

          [[ 4., 14.],
           [ 5., 15.],
           [ 6., 16.]]],


         [[[ 5., 15.],
           [ 6., 16.],
           [ 7., 17.]],

          [[ 6., 16.],
           [ 7., 17.],
           [ 8., 18.]],

          [[ 7., 17.],
           [ 8., 18.],
           [ 9., 19.]],

          [[ 8., 18.],
           [ 9., 19.],
           [10., 20.]]],


         [[[ 9., 19.],
           [10., 20.],
           [11., 21.]],

          [[10., 20.],
           [11., 21.],
           [12., 22.]],

          [[11., 21.],
           [12., 22.],
           [13., 23.]],

          [[12., 22.],
           [13., 23.],
           [14., 24.]]]],



        [[[[13., 23.],
           [14., 24.],
           [15., 25.]],

          [[14., 24.],
           [15., 25.],
           [16., 26.]],

          [[15., 25.],
           [16., 26.],
           [17., 27.]],

          [[16., 26.],
           [17., 27.],
           [18., 28.]]],


         [[[17., 27.],
           [18., 28.],
           [19., 29.]],

          [[18., 28.],
           [19., 29.],
           [20., 30.]],

          [[19., 29.],
           [20., 30.],
           [21., 31.]],

          [[20., 30.],
           [21., 31.],
           [22., 32.]]],


         [[[21., 31.],
           [22., 32.],
           [23., 33.]],

          [[22., 32.],
           [23., 33.],
           [24., 34.]],

          [[23., 33.],
           [24., 34.],
           [25., 35.]],

          [[24., 34.],
           [25., 35.],
           [26., 36.]]]]], device='cuda:0')


########## torch.float64/torch.int32/size=()+(3, 4)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([0, 2, 4]),
       row_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[ 1., 11.]],

                      [[ 2., 12.]],

                      [[ 3., 13.]],

                      [[ 4., 14.]]]), device='cuda:0', size=(3, 4), nnz=4,
       dtype=torch.float64, layout=torch.sparse_bsc)
# _ccol_indices
tensor([0, 2, 4], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([0, 1, 0, 2], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[ 1., 11.]],

        [[ 2., 12.]],

        [[ 3., 13.]],

        [[ 4., 14.]]], device='cuda:0', dtype=torch.float64)

########## torch.float64/torch.int32/size=()+(0, 0)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([0]),
       row_indices=tensor([], size=(0,)),
       values=tensor([], size=(0, 1, 2)), device='cuda:0', size=(0, 0), nnz=0,
       dtype=torch.float64, layout=torch.sparse_bsc)
# _ccol_indices
tensor([0], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([], device='cuda:0', dtype=torch.int32)
# _values
tensor([], device='cuda:0', size=(0, 1, 2), dtype=torch.float64)

########## torch.float64/torch.int32/size=(2,)+(6, 2)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([[0, 2, 4],
                            [0, 3, 4]]),
       row_indices=tensor([[0, 1, 0, 1],
                           [0, 1, 2, 0]]),
       values=tensor([[[[1.],
                        [2.]],

                       [[2.],
                        [3.]],

                       [[3.],
                        [4.]],

                       [[4.],
                        [5.]]],


                      [[[5.],
                        [6.]],

                       [[6.],
                        [7.]],

                       [[7.],
                        [8.]],

                       [[8.],
                        [9.]]]]), device='cuda:0', size=(2, 6, 2), nnz=4,
       dtype=torch.float64, layout=torch.sparse_bsc)
# _ccol_indices
tensor([[0, 2, 4],
        [0, 3, 4]], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([[0, 1, 0, 1],
        [0, 1, 2, 0]], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[1.],
          [2.]],

         [[2.],
          [3.]],

         [[3.],
          [4.]],

         [[4.],
          [5.]]],


        [[[5.],
          [6.]],

         [[6.],
          [7.]],

         [[7.],
          [8.]],

         [[8.],
          [9.]]]], device='cuda:0', dtype=torch.float64)

########## torch.float64/torch.int32/size=(2, 3)+(9, 4)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([[[0, 2, 4],
                             [0, 3, 4],
                             [0, 1, 4]],

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       row_indices=tensor([[[0, 1, 0, 1],
                            [0, 1, 2, 0],
                            [0, 0, 1, 2]],

                           [[1, 0, 1, 2],
                            [0, 2, 0, 1],
                            [0, 1, 2, 1]]]),
       values=tensor([[[[[ 1., 11.],
                         [ 2., 12.],
                         [ 3., 13.]],

                        [[ 2., 12.],
                         [ 3., 13.],
                         [ 4., 14.]],

                        [[ 3., 13.],
                         [ 4., 14.],
                         [ 5., 15.]],

                        [[ 4., 14.],
                         [ 5., 15.],
                         [ 6., 16.]]],


                       [[[ 5., 15.],
                         [ 6., 16.],
                         [ 7., 17.]],

                        [[ 6., 16.],
                         [ 7., 17.],
                         [ 8., 18.]],

                        [[ 7., 17.],
                         [ 8., 18.],
                         [ 9., 19.]],

                        [[ 8., 18.],
                         [ 9., 19.],
                         [10., 20.]]],


                       [[[ 9., 19.],
                         [10., 20.],
                         [11., 21.]],

                        [[10., 20.],
                         [11., 21.],
                         [12., 22.]],

                        [[11., 21.],
                         [12., 22.],
                         [13., 23.]],

                        [[12., 22.],
                         [13., 23.],
                         [14., 24.]]]],



                      [[[[13., 23.],
                         [14., 24.],
                         [15., 25.]],

                        [[14., 24.],
                         [15., 25.],
                         [16., 26.]],

                        [[15., 25.],
                         [16., 26.],
                         [17., 27.]],

                        [[16., 26.],
                         [17., 27.],
                         [18., 28.]]],


                       [[[17., 27.],
                         [18., 28.],
                         [19., 29.]],

                        [[18., 28.],
                         [19., 29.],
                         [20., 30.]],

                        [[19., 29.],
                         [20., 30.],
                         [21., 31.]],

                        [[20., 30.],
                         [21., 31.],
                         [22., 32.]]],


                       [[[21., 31.],
                         [22., 32.],
                         [23., 33.]],

                        [[22., 32.],
                         [23., 33.],
                         [24., 34.]],

                        [[23., 33.],
                         [24., 34.],
                         [25., 35.]],

                        [[24., 34.],
                         [25., 35.],
                         [26., 36.]]]]]), device='cuda:0', size=(2, 3, 9, 4),
       nnz=4, dtype=torch.float64, layout=torch.sparse_bsc)
# _ccol_indices
tensor([[[0, 2, 4],
         [0, 3, 4],
         [0, 1, 4]],

        [[0, 1, 4],
         [0, 2, 4],
         [0, 3, 4]]], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([[[0, 1, 0, 1],
         [0, 1, 2, 0],
         [0, 0, 1, 2]],

        [[1, 0, 1, 2],
         [0, 2, 0, 1],
         [0, 1, 2, 1]]], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[[ 1., 11.],
           [ 2., 12.],
           [ 3., 13.]],

          [[ 2., 12.],
           [ 3., 13.],
           [ 4., 14.]],

          [[ 3., 13.],
           [ 4., 14.],
           [ 5., 15.]],

          [[ 4., 14.],
           [ 5., 15.],
           [ 6., 16.]]],


         [[[ 5., 15.],
           [ 6., 16.],
           [ 7., 17.]],

          [[ 6., 16.],
           [ 7., 17.],
           [ 8., 18.]],

          [[ 7., 17.],
           [ 8., 18.],
           [ 9., 19.]],

          [[ 8., 18.],
           [ 9., 19.],
           [10., 20.]]],


         [[[ 9., 19.],
           [10., 20.],
           [11., 21.]],

          [[10., 20.],
           [11., 21.],
           [12., 22.]],

          [[11., 21.],
           [12., 22.],
           [13., 23.]],

          [[12., 22.],
           [13., 23.],
           [14., 24.]]]],



        [[[[13., 23.],
           [14., 24.],
           [15., 25.]],

          [[14., 24.],
           [15., 25.],
           [16., 26.]],

          [[15., 25.],
           [16., 26.],
           [17., 27.]],

          [[16., 26.],
           [17., 27.],
           [18., 28.]]],


         [[[17., 27.],
           [18., 28.],
           [19., 29.]],

          [[18., 28.],
           [19., 29.],
           [20., 30.]],

          [[19., 29.],
           [20., 30.],
           [21., 31.]],

          [[20., 30.],
           [21., 31.],
           [22., 32.]]],


         [[[21., 31.],
           [22., 32.],
           [23., 33.]],

          [[22., 32.],
           [23., 33.],
           [24., 34.]],

          [[23., 33.],
           [24., 34.],
           [25., 35.]],

          [[24., 34.],
           [25., 35.],
           [26., 36.]]]]], device='cuda:0', dtype=torch.float64)


########## torch.float32/torch.int64/size=()+(3, 4)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([0, 2, 4]),
       row_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[ 1., 11.]],

                      [[ 2., 12.]],

                      [[ 3., 13.]],

                      [[ 4., 14.]]]), device='cuda:0', size=(3, 4), nnz=4,
       layout=torch.sparse_bsc)
# _ccol_indices
tensor([0, 2, 4], device='cuda:0')
# _row_indices
tensor([0, 1, 0, 2], device='cuda:0')
# _values
tensor([[[ 1., 11.]],

        [[ 2., 12.]],

        [[ 3., 13.]],

        [[ 4., 14.]]], device='cuda:0')

########## torch.float32/torch.int64/size=()+(0, 0)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([0]),
       row_indices=tensor([], size=(0,)),
       values=tensor([], size=(0, 1, 2)), device='cuda:0', size=(0, 0), nnz=0,
       layout=torch.sparse_bsc)
# _ccol_indices
tensor([0], device='cuda:0')
# _row_indices
tensor([], device='cuda:0', dtype=torch.int64)
# _values
tensor([], device='cuda:0', size=(0, 1, 2))

########## torch.float32/torch.int64/size=(2,)+(6, 2)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([[0, 2, 4],
                            [0, 3, 4]]),
       row_indices=tensor([[0, 1, 0, 1],
                           [0, 1, 2, 0]]),
       values=tensor([[[[1.],
                        [2.]],

                       [[2.],
                        [3.]],

                       [[3.],
                        [4.]],

                       [[4.],
                        [5.]]],


                      [[[5.],
                        [6.]],

                       [[6.],
                        [7.]],

                       [[7.],
                        [8.]],

                       [[8.],
                        [9.]]]]), device='cuda:0', size=(2, 6, 2), nnz=4,
       layout=torch.sparse_bsc)
# _ccol_indices
tensor([[0, 2, 4],
        [0, 3, 4]], device='cuda:0')
# _row_indices
tensor([[0, 1, 0, 1],
        [0, 1, 2, 0]], device='cuda:0')
# _values
tensor([[[[1.],
          [2.]],

         [[2.],
          [3.]],

         [[3.],
          [4.]],

         [[4.],
          [5.]]],


        [[[5.],
          [6.]],

         [[6.],
          [7.]],

         [[7.],
          [8.]],

         [[8.],
          [9.]]]], device='cuda:0')

########## torch.float32/torch.int64/size=(2, 3)+(9, 4)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([[[0, 2, 4],
                             [0, 3, 4],
                             [0, 1, 4]],

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       row_indices=tensor([[[0, 1, 0, 1],
                            [0, 1, 2, 0],
                            [0, 0, 1, 2]],

                           [[1, 0, 1, 2],
                            [0, 2, 0, 1],
                            [0, 1, 2, 1]]]),
       values=tensor([[[[[ 1., 11.],
                         [ 2., 12.],
                         [ 3., 13.]],

                        [[ 2., 12.],
                         [ 3., 13.],
                         [ 4., 14.]],

                        [[ 3., 13.],
                         [ 4., 14.],
                         [ 5., 15.]],

                        [[ 4., 14.],
                         [ 5., 15.],
                         [ 6., 16.]]],


                       [[[ 5., 15.],
                         [ 6., 16.],
                         [ 7., 17.]],

                        [[ 6., 16.],
                         [ 7., 17.],
                         [ 8., 18.]],

                        [[ 7., 17.],
                         [ 8., 18.],
                         [ 9., 19.]],

                        [[ 8., 18.],
                         [ 9., 19.],
                         [10., 20.]]],


                       [[[ 9., 19.],
                         [10., 20.],
                         [11., 21.]],

                        [[10., 20.],
                         [11., 21.],
                         [12., 22.]],

                        [[11., 21.],
                         [12., 22.],
                         [13., 23.]],

                        [[12., 22.],
                         [13., 23.],
                         [14., 24.]]]],



                      [[[[13., 23.],
                         [14., 24.],
                         [15., 25.]],

                        [[14., 24.],
                         [15., 25.],
                         [16., 26.]],

                        [[15., 25.],
                         [16., 26.],
                         [17., 27.]],

                        [[16., 26.],
                         [17., 27.],
                         [18., 28.]]],


                       [[[17., 27.],
                         [18., 28.],
                         [19., 29.]],

                        [[18., 28.],
                         [19., 29.],
                         [20., 30.]],

                        [[19., 29.],
                         [20., 30.],
                         [21., 31.]],

                        [[20., 30.],
                         [21., 31.],
                         [22., 32.]]],


                       [[[21., 31.],
                         [22., 32.],
                         [23., 33.]],

                        [[22., 32.],
                         [23., 33.],
                         [24., 34.]],

                        [[23., 33.],
                         [24., 34.],
                         [25., 35.]],

                        [[24., 34.],
                         [25., 35.],
                         [26., 36.]]]]]), device='cuda:0', size=(2, 3, 9, 4),
       nnz=4, layout=torch.sparse_bsc)
# _ccol_indices
tensor([[[0, 2, 4],
         [0, 3, 4],
         [0, 1, 4]],

        [[0, 1, 4],
         [0, 2, 4],
         [0, 3, 4]]], device='cuda:0')
# _row_indices
tensor([[[0, 1, 0, 1],
         [0, 1, 2, 0],
         [0, 0, 1, 2]],

        [[1, 0, 1, 2],
         [0, 2, 0, 1],
         [0, 1, 2, 1]]], device='cuda:0')
# _values
tensor([[[[[ 1., 11.],
           [ 2., 12.],
           [ 3., 13.]],

          [[ 2., 12.],
           [ 3., 13.],
           [ 4., 14.]],

          [[ 3., 13.],
           [ 4., 14.],
           [ 5., 15.]],

          [[ 4., 14.],
           [ 5., 15.],
           [ 6., 16.]]],


         [[[ 5., 15.],
           [ 6., 16.],
           [ 7., 17.]],

          [[ 6., 16.],
           [ 7., 17.],
           [ 8., 18.]],

          [[ 7., 17.],
           [ 8., 18.],
           [ 9., 19.]],

          [[ 8., 18.],
           [ 9., 19.],
           [10., 20.]]],


         [[[ 9., 19.],
           [10., 20.],
           [11., 21.]],

          [[10., 20.],
           [11., 21.],
           [12., 22.]],

          [[11., 21.],
           [12., 22.],
           [13., 23.]],

          [[12., 22.],
           [13., 23.],
           [14., 24.]]]],



        [[[[13., 23.],
           [14., 24.],
           [15., 25.]],

          [[14., 24.],
           [15., 25.],
           [16., 26.]],

          [[15., 25.],
           [16., 26.],
           [17., 27.]],

          [[16., 26.],
           [17., 27.],
           [18., 28.]]],


         [[[17., 27.],
           [18., 28.],
           [19., 29.]],

          [[18., 28.],
           [19., 29.],
           [20., 30.]],

          [[19., 29.],
           [20., 30.],
           [21., 31.]],

          [[20., 30.],
           [21., 31.],
           [22., 32.]]],


         [[[21., 31.],
           [22., 32.],
           [23., 33.]],

          [[22., 32.],
           [23., 33.],
           [24., 34.]],

          [[23., 33.],
           [24., 34.],
           [25., 35.]],

          [[24., 34.],
           [25., 35.],
           [26., 36.]]]]], device='cuda:0')


########## torch.float64/torch.int64/size=()+(3, 4)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([0, 2, 4]),
       row_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[ 1., 11.]],

                      [[ 2., 12.]],

                      [[ 3., 13.]],

                      [[ 4., 14.]]]), device='cuda:0', size=(3, 4), nnz=4,
       dtype=torch.float64, layout=torch.sparse_bsc)
# _ccol_indices
tensor([0, 2, 4], device='cuda:0')
# _row_indices
tensor([0, 1, 0, 2], device='cuda:0')
# _values
tensor([[[ 1., 11.]],

        [[ 2., 12.]],

        [[ 3., 13.]],

        [[ 4., 14.]]], device='cuda:0', dtype=torch.float64)

########## torch.float64/torch.int64/size=()+(0, 0)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([0]),
       row_indices=tensor([], size=(0,)),
       values=tensor([], size=(0, 1, 2)), device='cuda:0', size=(0, 0), nnz=0,
       dtype=torch.float64, layout=torch.sparse_bsc)
# _ccol_indices
tensor([0], device='cuda:0')
# _row_indices
tensor([], device='cuda:0', dtype=torch.int64)
# _values
tensor([], device='cuda:0', size=(0, 1, 2), dtype=torch.float64)

########## torch.float64/torch.int64/size=(2,)+(6, 2)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([[0, 2, 4],
                            [0, 3, 4]]),
       row_indices=tensor([[0, 1, 0, 1],
                           [0, 1, 2, 0]]),
       values=tensor([[[[1.],
                        [2.]],

                       [[2.],
                        [3.]],

                       [[3.],
                        [4.]],

                       [[4.],
                        [5.]]],


                      [[[5.],
                        [6.]],

                       [[6.],
                        [7.]],

                       [[7.],
                        [8.]],

                       [[8.],
                        [9.]]]]), device='cuda:0', size=(2, 6, 2), nnz=4,
       dtype=torch.float64, layout=torch.sparse_bsc)
# _ccol_indices
tensor([[0, 2, 4],
        [0, 3, 4]], device='cuda:0')
# _row_indices
tensor([[0, 1, 0, 1],
        [0, 1, 2, 0]], device='cuda:0')
# _values
tensor([[[[1.],
          [2.]],

         [[2.],
          [3.]],

         [[3.],
          [4.]],

         [[4.],
          [5.]]],


        [[[5.],
          [6.]],

         [[6.],
          [7.]],

         [[7.],
          [8.]],

         [[8.],
          [9.]]]], device='cuda:0', dtype=torch.float64)

########## torch.float64/torch.int64/size=(2, 3)+(9, 4)+() ##########
# sparse tensor
tensor(ccol_indices=tensor([[[0, 2, 4],
                             [0, 3, 4],
                             [0, 1, 4]],

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       row_indices=tensor([[[0, 1, 0, 1],
                            [0, 1, 2, 0],
                            [0, 0, 1, 2]],

                           [[1, 0, 1, 2],
                            [0, 2, 0, 1],
                            [0, 1, 2, 1]]]),
       values=tensor([[[[[ 1., 11.],
                         [ 2., 12.],
                         [ 3., 13.]],

                        [[ 2., 12.],
                         [ 3., 13.],
                         [ 4., 14.]],

                        [[ 3., 13.],
                         [ 4., 14.],
                         [ 5., 15.]],

                        [[ 4., 14.],
                         [ 5., 15.],
                         [ 6., 16.]]],


                       [[[ 5., 15.],
                         [ 6., 16.],
                         [ 7., 17.]],

                        [[ 6., 16.],
                         [ 7., 17.],
                         [ 8., 18.]],

                        [[ 7., 17.],
                         [ 8., 18.],
                         [ 9., 19.]],

                        [[ 8., 18.],
                         [ 9., 19.],
                         [10., 20.]]],


                       [[[ 9., 19.],
                         [10., 20.],
                         [11., 21.]],

                        [[10., 20.],
                         [11., 21.],
                         [12., 22.]],

                        [[11., 21.],
                         [12., 22.],
                         [13., 23.]],

                        [[12., 22.],
                         [13., 23.],
                         [14., 24.]]]],



                      [[[[13., 23.],
                         [14., 24.],
                         [15., 25.]],

                        [[14., 24.],
                         [15., 25.],
                         [16., 26.]],

                        [[15., 25.],
                         [16., 26.],
                         [17., 27.]],

                        [[16., 26.],
                         [17., 27.],
                         [18., 28.]]],


                       [[[17., 27.],
                         [18., 28.],
                         [19., 29.]],

                        [[18., 28.],
                         [19., 29.],
                         [20., 30.]],

                        [[19., 29.],
                         [20., 30.],
                         [21., 31.]],

                        [[20., 30.],
                         [21., 31.],
                         [22., 32.]]],


                       [[[21., 31.],
                         [22., 32.],
                         [23., 33.]],

                        [[22., 32.],
                         [23., 33.],
                         [24., 34.]],

                        [[23., 33.],
                         [24., 34.],
                         [25., 35.]],

                        [[24., 34.],
                         [25., 35.],
                         [26., 36.]]]]]), device='cuda:0', size=(2, 3, 9, 4),
       nnz=4, dtype=torch.float64, layout=torch.sparse_bsc)
# _ccol_indices
tensor([[[0, 2, 4],
         [0, 3, 4],
         [0, 1, 4]],

        [[0, 1, 4],
         [0, 2, 4],
         [0, 3, 4]]], device='cuda:0')
# _row_indices
tensor([[[0, 1, 0, 1],
         [0, 1, 2, 0],
         [0, 0, 1, 2]],

        [[1, 0, 1, 2],
         [0, 2, 0, 1],
         [0, 1, 2, 1]]], device='cuda:0')
# _values
tensor([[[[[ 1., 11.],
           [ 2., 12.],
           [ 3., 13.]],

          [[ 2., 12.],
           [ 3., 13.],
           [ 4., 14.]],

          [[ 3., 13.],
           [ 4., 14.],
           [ 5., 15.]],

          [[ 4., 14.],
           [ 5., 15.],
           [ 6., 16.]]],


         [[[ 5., 15.],
           [ 6., 16.],
           [ 7., 17.]],

          [[ 6., 16.],
           [ 7., 17.],
           [ 8., 18.]],

          [[ 7., 17.],
           [ 8., 18.],
           [ 9., 19.]],

          [[ 8., 18.],
           [ 9., 19.],
           [10., 20.]]],


         [[[ 9., 19.],
           [10., 20.],
           [11., 21.]],

          [[10., 20.],
           [11., 21.],
           [12., 22.]],

          [[11., 21.],
           [12., 22.],
           [13., 23.]],

          [[12., 22.],
           [13., 23.],
           [14., 24.]]]],



        [[[[13., 23.],
           [14., 24.],
           [15., 25.]],

          [[14., 24.],
           [15., 25.],
           [16., 26.]],

          [[15., 25.],
           [16., 26.],
           [17., 27.]],

          [[16., 26.],
           [17., 27.],
           [18., 28.]]],


         [[[17., 27.],
           [18., 28.],
           [19., 29.]],

          [[18., 28.],
           [19., 29.],
           [20., 30.]],

          [[19., 29.],
           [20., 30.],
           [21., 31.]],

          [[20., 30.],
           [21., 31.],
           [22., 32.]]],


         [[[21., 31.],
           [22., 32.],
           [23., 33.]],

          [[22., 32.],
           [23., 33.],
           [24., 34.]],

          [[23., 33.],
           [24., 34.],
           [25., 35.]],

          [[24., 34.],
           [25., 35.],
           [26., 36.]]]]], device='cuda:0', dtype=torch.float64)


########## torch.float32/torch.int32/size=()+(6, 6)+(2,) ##########
# sparse tensor
tensor(ccol_indices=tensor([0, 2, 4]),
       row_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[[  1., 101.],
                        [ 11., 111.],
                        [ 21., 121.]],

                       [[  2., 102.],
                        [ 12., 112.],
                        [ 22., 122.]]],


                      [[[  2., 102.],
                        [ 12., 112.],
                        [ 22., 122.]],

                       [[  3., 103.],
                        [ 13., 113.],
                        [ 23., 123.]]],


                      [[[  3., 103.],
                        [ 13., 113.],
                        [ 23., 123.]],

                       [[  4., 104.],
                        [ 14., 114.],
                        [ 24., 124.]]],


                      [[[  4., 104.],
                        [ 14., 114.],
                        [ 24., 124.]],

                       [[  5., 105.],
                        [ 15., 115.],
                        [ 25., 125.]]]]), device='cuda:0', size=(6, 6, 2),
       nnz=4, layout=torch.sparse_bsc)
# _ccol_indices
tensor([0, 2, 4], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([0, 1, 0, 2], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[  1., 101.],
          [ 11., 111.],
          [ 21., 121.]],

         [[  2., 102.],
          [ 12., 112.],
          [ 22., 122.]]],


        [[[  2., 102.],
          [ 12., 112.],
          [ 22., 122.]],

         [[  3., 103.],
          [ 13., 113.],
          [ 23., 123.]]],


        [[[  3., 103.],
          [ 13., 113.],
          [ 23., 123.]],

         [[  4., 104.],
          [ 14., 114.],
          [ 24., 124.]]],


        [[[  4., 104.],
          [ 14., 114.],
          [ 24., 124.]],

         [[  5., 105.],
          [ 15., 115.],
          [ 25., 125.]]]], device='cuda:0')

########## torch.float32/torch.int32/size=()+(9, 4)+(4, 2) ##########
# sparse tensor
tensor(ccol_indices=tensor([0, 2, 4]),
       row_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[[[1.0000e+00, 1.0010e+03],
                         [1.0100e+02, 1.1010e+03],
                         [2.0100e+02, 1.2010e+03],
                         [3.0100e+02, 1.3010e+03]],

                        [[1.1000e+01, 1.0110e+03],
                         [1.1100e+02, 1.1110e+03],
                         [2.1100e+02, 1.2110e+03],
                         [3.1100e+02, 1.3110e+03]]],


                       [[[2.0000e+00, 1.0020e+03],
                         [1.0200e+02, 1.1020e+03],
                         [2.0200e+02, 1.2020e+03],
                         [3.0200e+02, 1.3020e+03]],

                        [[1.2000e+01, 1.0120e+03],
                         [1.1200e+02, 1.1120e+03],
                         [2.1200e+02, 1.2120e+03],
                         [3.1200e+02, 1.3120e+03]]],


                       [[[3.0000e+00, 1.0030e+03],
                         [1.0300e+02, 1.1030e+03],
                         [2.0300e+02, 1.2030e+03],
                         [3.0300e+02, 1.3030e+03]],

                        [[1.3000e+01, 1.0130e+03],
                         [1.1300e+02, 1.1130e+03],
                         [2.1300e+02, 1.2130e+03],
                         [3.1300e+02, 1.3130e+03]]]],



                      [[[[2.0000e+00, 1.0020e+03],
                         [1.0200e+02, 1.1020e+03],
                         [2.0200e+02, 1.2020e+03],
                         [3.0200e+02, 1.3020e+03]],

                        [[1.2000e+01, 1.0120e+03],
                         [1.1200e+02, 1.1120e+03],
                         [2.1200e+02, 1.2120e+03],
                         [3.1200e+02, 1.3120e+03]]],


                       [[[3.0000e+00, 1.0030e+03],
                         [1.0300e+02, 1.1030e+03],
                         [2.0300e+02, 1.2030e+03],
                         [3.0300e+02, 1.3030e+03]],

                        [[1.3000e+01, 1.0130e+03],
                         [1.1300e+02, 1.1130e+03],
                         [2.1300e+02, 1.2130e+03],
                         [3.1300e+02, 1.3130e+03]]],


                       [[[4.0000e+00, 1.0040e+03],
                         [1.0400e+02, 1.1040e+03],
                         [2.0400e+02, 1.2040e+03],
                         [3.0400e+02, 1.3040e+03]],

                        [[1.4000e+01, 1.0140e+03],
                         [1.1400e+02, 1.1140e+03],
                         [2.1400e+02, 1.2140e+03],
                         [3.1400e+02, 1.3140e+03]]]],



                      [[[[3.0000e+00, 1.0030e+03],
                         [1.0300e+02, 1.1030e+03],
                         [2.0300e+02, 1.2030e+03],
                         [3.0300e+02, 1.3030e+03]],

                        [[1.3000e+01, 1.0130e+03],
                         [1.1300e+02, 1.1130e+03],
                         [2.1300e+02, 1.2130e+03],
                         [3.1300e+02, 1.3130e+03]]],


                       [[[4.0000e+00, 1.0040e+03],
                         [1.0400e+02, 1.1040e+03],
                         [2.0400e+02, 1.2040e+03],
                         [3.0400e+02, 1.3040e+03]],

                        [[1.4000e+01, 1.0140e+03],
                         [1.1400e+02, 1.1140e+03],
                         [2.1400e+02, 1.2140e+03],
                         [3.1400e+02, 1.3140e+03]]],


                       [[[5.0000e+00, 1.0050e+03],
                         [1.0500e+02, 1.1050e+03],
                         [2.0500e+02, 1.2050e+03],
                         [3.0500e+02, 1.3050e+03]],

                        [[1.5000e+01, 1.0150e+03],
                         [1.1500e+02, 1.1150e+03],
                         [2.1500e+02, 1.2150e+03],
                         [3.1500e+02, 1.3150e+03]]]],



                      [[[[4.0000e+00, 1.0040e+03],
                         [1.0400e+02, 1.1040e+03],
                         [2.0400e+02, 1.2040e+03],
                         [3.0400e+02, 1.3040e+03]],

                        [[1.4000e+01, 1.0140e+03],
                         [1.1400e+02, 1.1140e+03],
                         [2.1400e+02, 1.2140e+03],
                         [3.1400e+02, 1.3140e+03]]],


                       [[[5.0000e+00, 1.0050e+03],
                         [1.0500e+02, 1.1050e+03],
                         [2.0500e+02, 1.2050e+03],
                         [3.0500e+02, 1.3050e+03]],

                        [[1.5000e+01, 1.0150e+03],
                         [1.1500e+02, 1.1150e+03],
                         [2.1500e+02, 1.2150e+03],
                         [3.1500e+02, 1.3150e+03]]],


                       [[[6.0000e+00, 1.0060e+03],
                         [1.0600e+02, 1.1060e+03],
                         [2.0600e+02, 1.2060e+03],
                         [3.0600e+02, 1.3060e+03]],

                        [[1.6000e+01, 1.0160e+03],
                         [1.1600e+02, 1.1160e+03],
                         [2.1600e+02, 1.2160e+03],
                         [3.1600e+02, 1.3160e+03]]]]]), device='cuda:0',
       size=(9, 4, 4, 2), nnz=4, layout=torch.sparse_bsc)
# _ccol_indices
tensor([0, 2, 4], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([0, 1, 0, 2], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[[1.0000e+00, 1.0010e+03],
           [1.0100e+02, 1.1010e+03],
           [2.0100e+02, 1.2010e+03],
           [3.0100e+02, 1.3010e+03]],

          [[1.1000e+01, 1.0110e+03],
           [1.1100e+02, 1.1110e+03],
           [2.1100e+02, 1.2110e+03],
           [3.1100e+02, 1.3110e+03]]],


         [[[2.0000e+00, 1.0020e+03],
           [1.0200e+02, 1.1020e+03],
           [2.0200e+02, 1.2020e+03],
           [3.0200e+02, 1.3020e+03]],

          [[1.2000e+01, 1.0120e+03],
           [1.1200e+02, 1.1120e+03],
           [2.1200e+02, 1.2120e+03],
           [3.1200e+02, 1.3120e+03]]],


         [[[3.0000e+00, 1.0030e+03],
           [1.0300e+02, 1.1030e+03],
           [2.0300e+02, 1.2030e+03],
           [3.0300e+02, 1.3030e+03]],

          [[1.3000e+01, 1.0130e+03],
           [1.1300e+02, 1.1130e+03],
           [2.1300e+02, 1.2130e+03],
           [3.1300e+02, 1.3130e+03]]]],



        [[[[2.0000e+00, 1.0020e+03],
           [1.0200e+02, 1.1020e+03],
           [2.0200e+02, 1.2020e+03],
           [3.0200e+02, 1.3020e+03]],

          [[1.2000e+01, 1.0120e+03],
           [1.1200e+02, 1.1120e+03],
           [2.1200e+02, 1.2120e+03],
           [3.1200e+02, 1.3120e+03]]],


         [[[3.0000e+00, 1.0030e+03],
           [1.0300e+02, 1.1030e+03],
           [2.0300e+02, 1.2030e+03],
           [3.0300e+02, 1.3030e+03]],

          [[1.3000e+01, 1.0130e+03],
           [1.1300e+02, 1.1130e+03],
           [2.1300e+02, 1.2130e+03],
           [3.1300e+02, 1.3130e+03]]],


         [[[4.0000e+00, 1.0040e+03],
           [1.0400e+02, 1.1040e+03],
           [2.0400e+02, 1.2040e+03],
           [3.0400e+02, 1.3040e+03]],

          [[1.4000e+01, 1.0140e+03],
           [1.1400e+02, 1.1140e+03],
           [2.1400e+02, 1.2140e+03],
           [3.1400e+02, 1.3140e+03]]]],



        [[[[3.0000e+00, 1.0030e+03],
           [1.0300e+02, 1.1030e+03],
           [2.0300e+02, 1.2030e+03],
           [3.0300e+02, 1.3030e+03]],

          [[1.3000e+01, 1.0130e+03],
           [1.1300e+02, 1.1130e+03],
           [2.1300e+02, 1.2130e+03],
           [3.1300e+02, 1.3130e+03]]],


         [[[4.0000e+00, 1.0040e+03],
           [1.0400e+02, 1.1040e+03],
           [2.0400e+02, 1.2040e+03],
           [3.0400e+02, 1.3040e+03]],

          [[1.4000e+01, 1.0140e+03],
           [1.1400e+02, 1.1140e+03],
           [2.1400e+02, 1.2140e+03],
           [3.1400e+02, 1.3140e+03]]],


         [[[5.0000e+00, 1.0050e+03],
           [1.0500e+02, 1.1050e+03],
           [2.0500e+02, 1.2050e+03],
           [3.0500e+02, 1.3050e+03]],

          [[1.5000e+01, 1.0150e+03],
           [1.1500e+02, 1.1150e+03],
           [2.1500e+02, 1.2150e+03],
           [3.1500e+02, 1.3150e+03]]]],



        [[[[4.0000e+00, 1.0040e+03],
           [1.0400e+02, 1.1040e+03],
           [2.0400e+02, 1.2040e+03],
           [3.0400e+02, 1.3040e+03]],

          [[1.4000e+01, 1.0140e+03],
           [1.1400e+02, 1.1140e+03],
           [2.1400e+02, 1.2140e+03],
           [3.1400e+02, 1.3140e+03]]],


         [[[5.0000e+00, 1.0050e+03],
           [1.0500e+02, 1.1050e+03],
           [2.0500e+02, 1.2050e+03],
           [3.0500e+02, 1.3050e+03]],

          [[1.5000e+01, 1.0150e+03],
           [1.1500e+02, 1.1150e+03],
           [2.1500e+02, 1.2150e+03],
           [3.1500e+02, 1.3150e+03]]],


         [[[6.0000e+00, 1.0060e+03],
           [1.0600e+02, 1.1060e+03],
           [2.0600e+02, 1.2060e+03],
           [3.0600e+02, 1.3060e+03]],

          [[1.6000e+01, 1.0160e+03],
           [1.1600e+02, 1.1160e+03],
           [2.1600e+02, 1.2160e+03],
           [3.1600e+02, 1.3160e+03]]]]], device='cuda:0')

########## torch.float32/torch.int32/size=(2, 3)+(6, 6)+(2, 1) ##########
# sparse tensor
tensor(ccol_indices=tensor([[[0, 2, 4],
                             [0, 3, 4],
                             [0, 1, 4]],

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       row_indices=tensor([[[0, 1, 0, 1],
                            [0, 1, 2, 0],
                            [0, 0, 1, 2]],

                           [[1, 0, 1, 2],
                            [0, 2, 0, 1],
                            [0, 1, 2, 1]]]),
       values=tensor([[[[[[[  1.],
                           [101.]],

                          [[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]]],


                         [[[  2.],
                           [102.]],

                          [[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]]]],



                        [[[[  2.],
                           [102.]],

                          [[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]]],


                         [[[  3.],
                           [103.]],

                          [[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]]]],



                        [[[[  3.],
                           [103.]],

                          [[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]]],


                         [[[  4.],
                           [104.]],

                          [[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]]]],



                        [[[[  4.],
                           [104.]],

                          [[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]]],


                         [[[  5.],
                           [105.]],

                          [[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]]]]],




                       [[[[[  5.],
                           [105.]],

                          [[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]]],


                         [[[  6.],
                           [106.]],

                          [[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]]]],



                        [[[[  6.],
                           [106.]],

                          [[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]]],


                         [[[  7.],
                           [107.]],

                          [[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]]]],



                        [[[[  7.],
                           [107.]],

                          [[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]]],


                         [[[  8.],
                           [108.]],

                          [[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]]]],



                        [[[[  8.],
                           [108.]],

                          [[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]]],


                         [[[  9.],
                           [109.]],

                          [[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]]]]],




                       [[[[[  9.],
                           [109.]],

                          [[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]]],


                         [[[ 10.],
                           [110.]],

                          [[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]]]],



                        [[[[ 10.],
                           [110.]],

                          [[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]]],


                         [[[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]]]],



                        [[[[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]]],


                         [[[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]]]],



                        [[[[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]]],


                         [[[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]]]]]],





                      [[[[[[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]]],


                         [[[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]]]],



                        [[[[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]]],


                         [[[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]]]],



                        [[[[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]]],


                         [[[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]],

                          [[ 36.],
                           [136.]]]],



                        [[[[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]],

                          [[ 36.],
                           [136.]]],


                         [[[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]],

                          [[ 37.],
                           [137.]]]]],




                       [[[[[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]],

                          [[ 37.],
                           [137.]]],


                         [[[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]],

                          [[ 38.],
                           [138.]]]],



                        [[[[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]],

                          [[ 38.],
                           [138.]]],


                         [[[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]],

                          [[ 39.],
                           [139.]]]],



                        [[[[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]],

                          [[ 39.],
                           [139.]]],


                         [[[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]],

                          [[ 40.],
                           [140.]]]],



                        [[[[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]],

                          [[ 40.],
                           [140.]]],


                         [[[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]],

                          [[ 41.],
                           [141.]]]]],




                       [[[[[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]],

                          [[ 41.],
                           [141.]]],


                         [[[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]],

                          [[ 42.],
                           [142.]]]],



                        [[[[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]],

                          [[ 42.],
                           [142.]]],


                         [[[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]],

                          [[ 43.],
                           [143.]]]],



                        [[[[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]],

                          [[ 43.],
                           [143.]]],


                         [[[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]],

                          [[ 44.],
                           [144.]]]],



                        [[[[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]],

                          [[ 44.],
                           [144.]]],


                         [[[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]],

                          [[ 45.],
                           [145.]]]]]]]), device='cuda:0',
       size=(2, 3, 6, 6, 2, 1), nnz=4, layout=torch.sparse_bsc)
# _ccol_indices
tensor([[[0, 2, 4],
         [0, 3, 4],
         [0, 1, 4]],

        [[0, 1, 4],
         [0, 2, 4],
         [0, 3, 4]]], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([[[0, 1, 0, 1],
         [0, 1, 2, 0],
         [0, 0, 1, 2]],

        [[1, 0, 1, 2],
         [0, 2, 0, 1],
         [0, 1, 2, 1]]], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[[[[  1.],
             [101.]],

            [[ 11.],
             [111.]],

            [[ 21.],
             [121.]]],


           [[[  2.],
             [102.]],

            [[ 12.],
             [112.]],

            [[ 22.],
             [122.]]]],



          [[[[  2.],
             [102.]],

            [[ 12.],
             [112.]],

            [[ 22.],
             [122.]]],


           [[[  3.],
             [103.]],

            [[ 13.],
             [113.]],

            [[ 23.],
             [123.]]]],



          [[[[  3.],
             [103.]],

            [[ 13.],
             [113.]],

            [[ 23.],
             [123.]]],


           [[[  4.],
             [104.]],

            [[ 14.],
             [114.]],

            [[ 24.],
             [124.]]]],



          [[[[  4.],
             [104.]],

            [[ 14.],
             [114.]],

            [[ 24.],
             [124.]]],


           [[[  5.],
             [105.]],

            [[ 15.],
             [115.]],

            [[ 25.],
             [125.]]]]],




         [[[[[  5.],
             [105.]],

            [[ 15.],
             [115.]],

            [[ 25.],
             [125.]]],


           [[[  6.],
             [106.]],

            [[ 16.],
             [116.]],

            [[ 26.],
             [126.]]]],



          [[[[  6.],
             [106.]],

            [[ 16.],
             [116.]],

            [[ 26.],
             [126.]]],


           [[[  7.],
             [107.]],

            [[ 17.],
             [117.]],

            [[ 27.],
             [127.]]]],



          [[[[  7.],
             [107.]],

            [[ 17.],
             [117.]],

            [[ 27.],
             [127.]]],


           [[[  8.],
             [108.]],

            [[ 18.],
             [118.]],

            [[ 28.],
             [128.]]]],



          [[[[  8.],
             [108.]],

            [[ 18.],
             [118.]],

            [[ 28.],
             [128.]]],


           [[[  9.],
             [109.]],

            [[ 19.],
             [119.]],

            [[ 29.],
             [129.]]]]],




         [[[[[  9.],
             [109.]],

            [[ 19.],
             [119.]],

            [[ 29.],
             [129.]]],


           [[[ 10.],
             [110.]],

            [[ 20.],
             [120.]],

            [[ 30.],
             [130.]]]],



          [[[[ 10.],
             [110.]],

            [[ 20.],
             [120.]],

            [[ 30.],
             [130.]]],


           [[[ 11.],
             [111.]],

            [[ 21.],
             [121.]],

            [[ 31.],
             [131.]]]],



          [[[[ 11.],
             [111.]],

            [[ 21.],
             [121.]],

            [[ 31.],
             [131.]]],


           [[[ 12.],
             [112.]],

            [[ 22.],
             [122.]],

            [[ 32.],
             [132.]]]],



          [[[[ 12.],
             [112.]],

            [[ 22.],
             [122.]],

            [[ 32.],
             [132.]]],


           [[[ 13.],
             [113.]],

            [[ 23.],
             [123.]],

            [[ 33.],
             [133.]]]]]],





        [[[[[[ 13.],
             [113.]],

            [[ 23.],
             [123.]],

            [[ 33.],
             [133.]]],


           [[[ 14.],
             [114.]],

            [[ 24.],
             [124.]],

            [[ 34.],
             [134.]]]],



          [[[[ 14.],
             [114.]],

            [[ 24.],
             [124.]],

            [[ 34.],
             [134.]]],


           [[[ 15.],
             [115.]],

            [[ 25.],
             [125.]],

            [[ 35.],
             [135.]]]],



          [[[[ 15.],
             [115.]],

            [[ 25.],
             [125.]],

            [[ 35.],
             [135.]]],


           [[[ 16.],
             [116.]],

            [[ 26.],
             [126.]],

            [[ 36.],
             [136.]]]],



          [[[[ 16.],
             [116.]],

            [[ 26.],
             [126.]],

            [[ 36.],
             [136.]]],


           [[[ 17.],
             [117.]],

            [[ 27.],
             [127.]],

            [[ 37.],
             [137.]]]]],




         [[[[[ 17.],
             [117.]],

            [[ 27.],
             [127.]],

            [[ 37.],
             [137.]]],


           [[[ 18.],
             [118.]],

            [[ 28.],
             [128.]],

            [[ 38.],
             [138.]]]],



          [[[[ 18.],
             [118.]],

            [[ 28.],
             [128.]],

            [[ 38.],
             [138.]]],


           [[[ 19.],
             [119.]],

            [[ 29.],
             [129.]],

            [[ 39.],
             [139.]]]],



          [[[[ 19.],
             [119.]],

            [[ 29.],
             [129.]],

            [[ 39.],
             [139.]]],


           [[[ 20.],
             [120.]],

            [[ 30.],
             [130.]],

            [[ 40.],
             [140.]]]],



          [[[[ 20.],
             [120.]],

            [[ 30.],
             [130.]],

            [[ 40.],
             [140.]]],


           [[[ 21.],
             [121.]],

            [[ 31.],
             [131.]],

            [[ 41.],
             [141.]]]]],




         [[[[[ 21.],
             [121.]],

            [[ 31.],
             [131.]],

            [[ 41.],
             [141.]]],


           [[[ 22.],
             [122.]],

            [[ 32.],
             [132.]],

            [[ 42.],
             [142.]]]],



          [[[[ 22.],
             [122.]],

            [[ 32.],
             [132.]],

            [[ 42.],
             [142.]]],


           [[[ 23.],
             [123.]],

            [[ 33.],
             [133.]],

            [[ 43.],
             [143.]]]],



          [[[[ 23.],
             [123.]],

            [[ 33.],
             [133.]],

            [[ 43.],
             [143.]]],


           [[[ 24.],
             [124.]],

            [[ 34.],
             [134.]],

            [[ 44.],
             [144.]]]],



          [[[[ 24.],
             [124.]],

            [[ 34.],
             [134.]],

            [[ 44.],
             [144.]]],


           [[[ 25.],
             [125.]],

            [[ 35.],
             [135.]],

            [[ 45.],
             [145.]]]]]]], device='cuda:0')


########## torch.float64/torch.int32/size=()+(6, 6)+(2,) ##########
# sparse tensor
tensor(ccol_indices=tensor([0, 2, 4]),
       row_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[[  1., 101.],
                        [ 11., 111.],
                        [ 21., 121.]],

                       [[  2., 102.],
                        [ 12., 112.],
                        [ 22., 122.]]],


                      [[[  2., 102.],
                        [ 12., 112.],
                        [ 22., 122.]],

                       [[  3., 103.],
                        [ 13., 113.],
                        [ 23., 123.]]],


                      [[[  3., 103.],
                        [ 13., 113.],
                        [ 23., 123.]],

                       [[  4., 104.],
                        [ 14., 114.],
                        [ 24., 124.]]],


                      [[[  4., 104.],
                        [ 14., 114.],
                        [ 24., 124.]],

                       [[  5., 105.],
                        [ 15., 115.],
                        [ 25., 125.]]]]), device='cuda:0', size=(6, 6, 2),
       nnz=4, dtype=torch.float64, layout=torch.sparse_bsc)
# _ccol_indices
tensor([0, 2, 4], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([0, 1, 0, 2], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[  1., 101.],
          [ 11., 111.],
          [ 21., 121.]],

         [[  2., 102.],
          [ 12., 112.],
          [ 22., 122.]]],


        [[[  2., 102.],
          [ 12., 112.],
          [ 22., 122.]],

         [[  3., 103.],
          [ 13., 113.],
          [ 23., 123.]]],


        [[[  3., 103.],
          [ 13., 113.],
          [ 23., 123.]],

         [[  4., 104.],
          [ 14., 114.],
          [ 24., 124.]]],


        [[[  4., 104.],
          [ 14., 114.],
          [ 24., 124.]],

         [[  5., 105.],
          [ 15., 115.],
          [ 25., 125.]]]], device='cuda:0', dtype=torch.float64)

########## torch.float64/torch.int32/size=()+(9, 4)+(4, 2) ##########
# sparse tensor
tensor(ccol_indices=tensor([0, 2, 4]),
       row_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[[[1.0000e+00, 1.0010e+03],
                         [1.0100e+02, 1.1010e+03],
                         [2.0100e+02, 1.2010e+03],
                         [3.0100e+02, 1.3010e+03]],

                        [[1.1000e+01, 1.0110e+03],
                         [1.1100e+02, 1.1110e+03],
                         [2.1100e+02, 1.2110e+03],
                         [3.1100e+02, 1.3110e+03]]],


                       [[[2.0000e+00, 1.0020e+03],
                         [1.0200e+02, 1.1020e+03],
                         [2.0200e+02, 1.2020e+03],
                         [3.0200e+02, 1.3020e+03]],

                        [[1.2000e+01, 1.0120e+03],
                         [1.1200e+02, 1.1120e+03],
                         [2.1200e+02, 1.2120e+03],
                         [3.1200e+02, 1.3120e+03]]],


                       [[[3.0000e+00, 1.0030e+03],
                         [1.0300e+02, 1.1030e+03],
                         [2.0300e+02, 1.2030e+03],
                         [3.0300e+02, 1.3030e+03]],

                        [[1.3000e+01, 1.0130e+03],
                         [1.1300e+02, 1.1130e+03],
                         [2.1300e+02, 1.2130e+03],
                         [3.1300e+02, 1.3130e+03]]]],



                      [[[[2.0000e+00, 1.0020e+03],
                         [1.0200e+02, 1.1020e+03],
                         [2.0200e+02, 1.2020e+03],
                         [3.0200e+02, 1.3020e+03]],

                        [[1.2000e+01, 1.0120e+03],
                         [1.1200e+02, 1.1120e+03],
                         [2.1200e+02, 1.2120e+03],
                         [3.1200e+02, 1.3120e+03]]],


                       [[[3.0000e+00, 1.0030e+03],
                         [1.0300e+02, 1.1030e+03],
                         [2.0300e+02, 1.2030e+03],
                         [3.0300e+02, 1.3030e+03]],

                        [[1.3000e+01, 1.0130e+03],
                         [1.1300e+02, 1.1130e+03],
                         [2.1300e+02, 1.2130e+03],
                         [3.1300e+02, 1.3130e+03]]],


                       [[[4.0000e+00, 1.0040e+03],
                         [1.0400e+02, 1.1040e+03],
                         [2.0400e+02, 1.2040e+03],
                         [3.0400e+02, 1.3040e+03]],

                        [[1.4000e+01, 1.0140e+03],
                         [1.1400e+02, 1.1140e+03],
                         [2.1400e+02, 1.2140e+03],
                         [3.1400e+02, 1.3140e+03]]]],



                      [[[[3.0000e+00, 1.0030e+03],
                         [1.0300e+02, 1.1030e+03],
                         [2.0300e+02, 1.2030e+03],
                         [3.0300e+02, 1.3030e+03]],

                        [[1.3000e+01, 1.0130e+03],
                         [1.1300e+02, 1.1130e+03],
                         [2.1300e+02, 1.2130e+03],
                         [3.1300e+02, 1.3130e+03]]],


                       [[[4.0000e+00, 1.0040e+03],
                         [1.0400e+02, 1.1040e+03],
                         [2.0400e+02, 1.2040e+03],
                         [3.0400e+02, 1.3040e+03]],

                        [[1.4000e+01, 1.0140e+03],
                         [1.1400e+02, 1.1140e+03],
                         [2.1400e+02, 1.2140e+03],
                         [3.1400e+02, 1.3140e+03]]],


                       [[[5.0000e+00, 1.0050e+03],
                         [1.0500e+02, 1.1050e+03],
                         [2.0500e+02, 1.2050e+03],
                         [3.0500e+02, 1.3050e+03]],

                        [[1.5000e+01, 1.0150e+03],
                         [1.1500e+02, 1.1150e+03],
                         [2.1500e+02, 1.2150e+03],
                         [3.1500e+02, 1.3150e+03]]]],



                      [[[[4.0000e+00, 1.0040e+03],
                         [1.0400e+02, 1.1040e+03],
                         [2.0400e+02, 1.2040e+03],
                         [3.0400e+02, 1.3040e+03]],

                        [[1.4000e+01, 1.0140e+03],
                         [1.1400e+02, 1.1140e+03],
                         [2.1400e+02, 1.2140e+03],
                         [3.1400e+02, 1.3140e+03]]],


                       [[[5.0000e+00, 1.0050e+03],
                         [1.0500e+02, 1.1050e+03],
                         [2.0500e+02, 1.2050e+03],
                         [3.0500e+02, 1.3050e+03]],

                        [[1.5000e+01, 1.0150e+03],
                         [1.1500e+02, 1.1150e+03],
                         [2.1500e+02, 1.2150e+03],
                         [3.1500e+02, 1.3150e+03]]],


                       [[[6.0000e+00, 1.0060e+03],
                         [1.0600e+02, 1.1060e+03],
                         [2.0600e+02, 1.2060e+03],
                         [3.0600e+02, 1.3060e+03]],

                        [[1.6000e+01, 1.0160e+03],
                         [1.1600e+02, 1.1160e+03],
                         [2.1600e+02, 1.2160e+03],
                         [3.1600e+02, 1.3160e+03]]]]]), device='cuda:0',
       size=(9, 4, 4, 2), nnz=4, dtype=torch.float64, layout=torch.sparse_bsc)
# _ccol_indices
tensor([0, 2, 4], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([0, 1, 0, 2], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[[1.0000e+00, 1.0010e+03],
           [1.0100e+02, 1.1010e+03],
           [2.0100e+02, 1.2010e+03],
           [3.0100e+02, 1.3010e+03]],

          [[1.1000e+01, 1.0110e+03],
           [1.1100e+02, 1.1110e+03],
           [2.1100e+02, 1.2110e+03],
           [3.1100e+02, 1.3110e+03]]],


         [[[2.0000e+00, 1.0020e+03],
           [1.0200e+02, 1.1020e+03],
           [2.0200e+02, 1.2020e+03],
           [3.0200e+02, 1.3020e+03]],

          [[1.2000e+01, 1.0120e+03],
           [1.1200e+02, 1.1120e+03],
           [2.1200e+02, 1.2120e+03],
           [3.1200e+02, 1.3120e+03]]],


         [[[3.0000e+00, 1.0030e+03],
           [1.0300e+02, 1.1030e+03],
           [2.0300e+02, 1.2030e+03],
           [3.0300e+02, 1.3030e+03]],

          [[1.3000e+01, 1.0130e+03],
           [1.1300e+02, 1.1130e+03],
           [2.1300e+02, 1.2130e+03],
           [3.1300e+02, 1.3130e+03]]]],



        [[[[2.0000e+00, 1.0020e+03],
           [1.0200e+02, 1.1020e+03],
           [2.0200e+02, 1.2020e+03],
           [3.0200e+02, 1.3020e+03]],

          [[1.2000e+01, 1.0120e+03],
           [1.1200e+02, 1.1120e+03],
           [2.1200e+02, 1.2120e+03],
           [3.1200e+02, 1.3120e+03]]],


         [[[3.0000e+00, 1.0030e+03],
           [1.0300e+02, 1.1030e+03],
           [2.0300e+02, 1.2030e+03],
           [3.0300e+02, 1.3030e+03]],

          [[1.3000e+01, 1.0130e+03],
           [1.1300e+02, 1.1130e+03],
           [2.1300e+02, 1.2130e+03],
           [3.1300e+02, 1.3130e+03]]],


         [[[4.0000e+00, 1.0040e+03],
           [1.0400e+02, 1.1040e+03],
           [2.0400e+02, 1.2040e+03],
           [3.0400e+02, 1.3040e+03]],

          [[1.4000e+01, 1.0140e+03],
           [1.1400e+02, 1.1140e+03],
           [2.1400e+02, 1.2140e+03],
           [3.1400e+02, 1.3140e+03]]]],



        [[[[3.0000e+00, 1.0030e+03],
           [1.0300e+02, 1.1030e+03],
           [2.0300e+02, 1.2030e+03],
           [3.0300e+02, 1.3030e+03]],

          [[1.3000e+01, 1.0130e+03],
           [1.1300e+02, 1.1130e+03],
           [2.1300e+02, 1.2130e+03],
           [3.1300e+02, 1.3130e+03]]],


         [[[4.0000e+00, 1.0040e+03],
           [1.0400e+02, 1.1040e+03],
           [2.0400e+02, 1.2040e+03],
           [3.0400e+02, 1.3040e+03]],

          [[1.4000e+01, 1.0140e+03],
           [1.1400e+02, 1.1140e+03],
           [2.1400e+02, 1.2140e+03],
           [3.1400e+02, 1.3140e+03]]],


         [[[5.0000e+00, 1.0050e+03],
           [1.0500e+02, 1.1050e+03],
           [2.0500e+02, 1.2050e+03],
           [3.0500e+02, 1.3050e+03]],

          [[1.5000e+01, 1.0150e+03],
           [1.1500e+02, 1.1150e+03],
           [2.1500e+02, 1.2150e+03],
           [3.1500e+02, 1.3150e+03]]]],



        [[[[4.0000e+00, 1.0040e+03],
           [1.0400e+02, 1.1040e+03],
           [2.0400e+02, 1.2040e+03],
           [3.0400e+02, 1.3040e+03]],

          [[1.4000e+01, 1.0140e+03],
           [1.1400e+02, 1.1140e+03],
           [2.1400e+02, 1.2140e+03],
           [3.1400e+02, 1.3140e+03]]],


         [[[5.0000e+00, 1.0050e+03],
           [1.0500e+02, 1.1050e+03],
           [2.0500e+02, 1.2050e+03],
           [3.0500e+02, 1.3050e+03]],

          [[1.5000e+01, 1.0150e+03],
           [1.1500e+02, 1.1150e+03],
           [2.1500e+02, 1.2150e+03],
           [3.1500e+02, 1.3150e+03]]],


         [[[6.0000e+00, 1.0060e+03],
           [1.0600e+02, 1.1060e+03],
           [2.0600e+02, 1.2060e+03],
           [3.0600e+02, 1.3060e+03]],

          [[1.6000e+01, 1.0160e+03],
           [1.1600e+02, 1.1160e+03],
           [2.1600e+02, 1.2160e+03],
           [3.1600e+02, 1.3160e+03]]]]], device='cuda:0', dtype=torch.float64)

########## torch.float64/torch.int32/size=(2, 3)+(6, 6)+(2, 1) ##########
# sparse tensor
tensor(ccol_indices=tensor([[[0, 2, 4],
                             [0, 3, 4],
                             [0, 1, 4]],

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       row_indices=tensor([[[0, 1, 0, 1],
                            [0, 1, 2, 0],
                            [0, 0, 1, 2]],

                           [[1, 0, 1, 2],
                            [0, 2, 0, 1],
                            [0, 1, 2, 1]]]),
       values=tensor([[[[[[[  1.],
                           [101.]],

                          [[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]]],


                         [[[  2.],
                           [102.]],

                          [[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]]]],



                        [[[[  2.],
                           [102.]],

                          [[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]]],


                         [[[  3.],
                           [103.]],

                          [[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]]]],



                        [[[[  3.],
                           [103.]],

                          [[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]]],


                         [[[  4.],
                           [104.]],

                          [[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]]]],



                        [[[[  4.],
                           [104.]],

                          [[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]]],


                         [[[  5.],
                           [105.]],

                          [[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]]]]],




                       [[[[[  5.],
                           [105.]],

                          [[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]]],


                         [[[  6.],
                           [106.]],

                          [[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]]]],



                        [[[[  6.],
                           [106.]],

                          [[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]]],


                         [[[  7.],
                           [107.]],

                          [[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]]]],



                        [[[[  7.],
                           [107.]],

                          [[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]]],


                         [[[  8.],
                           [108.]],

                          [[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]]]],



                        [[[[  8.],
                           [108.]],

                          [[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]]],


                         [[[  9.],
                           [109.]],

                          [[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]]]]],




                       [[[[[  9.],
                           [109.]],

                          [[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]]],


                         [[[ 10.],
                           [110.]],

                          [[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]]]],



                        [[[[ 10.],
                           [110.]],

                          [[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]]],


                         [[[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]]]],



                        [[[[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]]],


                         [[[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]]]],



                        [[[[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]]],


                         [[[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]]]]]],





                      [[[[[[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]]],


                         [[[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]]]],



                        [[[[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]]],


                         [[[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]]]],



                        [[[[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]]],


                         [[[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]],

                          [[ 36.],
                           [136.]]]],



                        [[[[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]],

                          [[ 36.],
                           [136.]]],


                         [[[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]],

                          [[ 37.],
                           [137.]]]]],




                       [[[[[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]],

                          [[ 37.],
                           [137.]]],


                         [[[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]],

                          [[ 38.],
                           [138.]]]],



                        [[[[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]],

                          [[ 38.],
                           [138.]]],


                         [[[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]],

                          [[ 39.],
                           [139.]]]],



                        [[[[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]],

                          [[ 39.],
                           [139.]]],


                         [[[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]],

                          [[ 40.],
                           [140.]]]],



                        [[[[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]],

                          [[ 40.],
                           [140.]]],


                         [[[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]],

                          [[ 41.],
                           [141.]]]]],




                       [[[[[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]],

                          [[ 41.],
                           [141.]]],


                         [[[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]],

                          [[ 42.],
                           [142.]]]],



                        [[[[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]],

                          [[ 42.],
                           [142.]]],


                         [[[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]],

                          [[ 43.],
                           [143.]]]],



                        [[[[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]],

                          [[ 43.],
                           [143.]]],


                         [[[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]],

                          [[ 44.],
                           [144.]]]],



                        [[[[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]],

                          [[ 44.],
                           [144.]]],


                         [[[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]],

                          [[ 45.],
                           [145.]]]]]]]), device='cuda:0',
       size=(2, 3, 6, 6, 2, 1), nnz=4, dtype=torch.float64,
       layout=torch.sparse_bsc)
# _ccol_indices
tensor([[[0, 2, 4],
         [0, 3, 4],
         [0, 1, 4]],

        [[0, 1, 4],
         [0, 2, 4],
         [0, 3, 4]]], device='cuda:0', dtype=torch.int32)
# _row_indices
tensor([[[0, 1, 0, 1],
         [0, 1, 2, 0],
         [0, 0, 1, 2]],

        [[1, 0, 1, 2],
         [0, 2, 0, 1],
         [0, 1, 2, 1]]], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[[[[  1.],
             [101.]],

            [[ 11.],
             [111.]],

            [[ 21.],
             [121.]]],


           [[[  2.],
             [102.]],

            [[ 12.],
             [112.]],

            [[ 22.],
             [122.]]]],



          [[[[  2.],
             [102.]],

            [[ 12.],
             [112.]],

            [[ 22.],
             [122.]]],


           [[[  3.],
             [103.]],

            [[ 13.],
             [113.]],

            [[ 23.],
             [123.]]]],



          [[[[  3.],
             [103.]],

            [[ 13.],
             [113.]],

            [[ 23.],
             [123.]]],


           [[[  4.],
             [104.]],

            [[ 14.],
             [114.]],

            [[ 24.],
             [124.]]]],



          [[[[  4.],
             [104.]],

            [[ 14.],
             [114.]],

            [[ 24.],
             [124.]]],


           [[[  5.],
             [105.]],

            [[ 15.],
             [115.]],

            [[ 25.],
             [125.]]]]],




         [[[[[  5.],
             [105.]],

            [[ 15.],
             [115.]],

            [[ 25.],
             [125.]]],


           [[[  6.],
             [106.]],

            [[ 16.],
             [116.]],

            [[ 26.],
             [126.]]]],



          [[[[  6.],
             [106.]],

            [[ 16.],
             [116.]],

            [[ 26.],
             [126.]]],


           [[[  7.],
             [107.]],

            [[ 17.],
             [117.]],

            [[ 27.],
             [127.]]]],



          [[[[  7.],
             [107.]],

            [[ 17.],
             [117.]],

            [[ 27.],
             [127.]]],


           [[[  8.],
             [108.]],

            [[ 18.],
             [118.]],

            [[ 28.],
             [128.]]]],



          [[[[  8.],
             [108.]],

            [[ 18.],
             [118.]],

            [[ 28.],
             [128.]]],


           [[[  9.],
             [109.]],

            [[ 19.],
             [119.]],

            [[ 29.],
             [129.]]]]],




         [[[[[  9.],
             [109.]],

            [[ 19.],
             [119.]],

            [[ 29.],
             [129.]]],


           [[[ 10.],
             [110.]],

            [[ 20.],
             [120.]],

            [[ 30.],
             [130.]]]],



          [[[[ 10.],
             [110.]],

            [[ 20.],
             [120.]],

            [[ 30.],
             [130.]]],


           [[[ 11.],
             [111.]],

            [[ 21.],
             [121.]],

            [[ 31.],
             [131.]]]],



          [[[[ 11.],
             [111.]],

            [[ 21.],
             [121.]],

            [[ 31.],
             [131.]]],


           [[[ 12.],
             [112.]],

            [[ 22.],
             [122.]],

            [[ 32.],
             [132.]]]],



          [[[[ 12.],
             [112.]],

            [[ 22.],
             [122.]],

            [[ 32.],
             [132.]]],


           [[[ 13.],
             [113.]],

            [[ 23.],
             [123.]],

            [[ 33.],
             [133.]]]]]],





        [[[[[[ 13.],
             [113.]],

            [[ 23.],
             [123.]],

            [[ 33.],
             [133.]]],


           [[[ 14.],
             [114.]],

            [[ 24.],
             [124.]],

            [[ 34.],
             [134.]]]],



          [[[[ 14.],
             [114.]],

            [[ 24.],
             [124.]],

            [[ 34.],
             [134.]]],


           [[[ 15.],
             [115.]],

            [[ 25.],
             [125.]],

            [[ 35.],
             [135.]]]],



          [[[[ 15.],
             [115.]],

            [[ 25.],
             [125.]],

            [[ 35.],
             [135.]]],


           [[[ 16.],
             [116.]],

            [[ 26.],
             [126.]],

            [[ 36.],
             [136.]]]],



          [[[[ 16.],
             [116.]],

            [[ 26.],
             [126.]],

            [[ 36.],
             [136.]]],


           [[[ 17.],
             [117.]],

            [[ 27.],
             [127.]],

            [[ 37.],
             [137.]]]]],




         [[[[[ 17.],
             [117.]],

            [[ 27.],
             [127.]],

            [[ 37.],
             [137.]]],


           [[[ 18.],
             [118.]],

            [[ 28.],
             [128.]],

            [[ 38.],
             [138.]]]],



          [[[[ 18.],
             [118.]],

            [[ 28.],
             [128.]],

            [[ 38.],
             [138.]]],


           [[[ 19.],
             [119.]],

            [[ 29.],
             [129.]],

            [[ 39.],
             [139.]]]],



          [[[[ 19.],
             [119.]],

            [[ 29.],
             [129.]],

            [[ 39.],
             [139.]]],


           [[[ 20.],
             [120.]],

            [[ 30.],
             [130.]],

            [[ 40.],
             [140.]]]],



          [[[[ 20.],
             [120.]],

            [[ 30.],
             [130.]],

            [[ 40.],
             [140.]]],


           [[[ 21.],
             [121.]],

            [[ 31.],
             [131.]],

            [[ 41.],
             [141.]]]]],




         [[[[[ 21.],
             [121.]],

            [[ 31.],
             [131.]],

            [[ 41.],
             [141.]]],


           [[[ 22.],
             [122.]],

            [[ 32.],
             [132.]],

            [[ 42.],
             [142.]]]],



          [[[[ 22.],
             [122.]],

            [[ 32.],
             [132.]],

            [[ 42.],
             [142.]]],


           [[[ 23.],
             [123.]],

            [[ 33.],
             [133.]],

            [[ 43.],
             [143.]]]],



          [[[[ 23.],
             [123.]],

            [[ 33.],
             [133.]],

            [[ 43.],
             [143.]]],


           [[[ 24.],
             [124.]],

            [[ 34.],
             [134.]],

            [[ 44.],
             [144.]]]],



          [[[[ 24.],
             [124.]],

            [[ 34.],
             [134.]],

            [[ 44.],
             [144.]]],


           [[[ 25.],
             [125.]],

            [[ 35.],
             [135.]],

            [[ 45.],
             [145.]]]]]]], device='cuda:0', dtype=torch.float64)


########## torch.float32/torch.int64/size=()+(6, 6)+(2,) ##########
# sparse tensor
tensor(ccol_indices=tensor([0, 2, 4]),
       row_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[[  1., 101.],
                        [ 11., 111.],
                        [ 21., 121.]],

                       [[  2., 102.],
                        [ 12., 112.],
                        [ 22., 122.]]],


                      [[[  2., 102.],
                        [ 12., 112.],
                        [ 22., 122.]],

                       [[  3., 103.],
                        [ 13., 113.],
                        [ 23., 123.]]],


                      [[[  3., 103.],
                        [ 13., 113.],
                        [ 23., 123.]],

                       [[  4., 104.],
                        [ 14., 114.],
                        [ 24., 124.]]],


                      [[[  4., 104.],
                        [ 14., 114.],
                        [ 24., 124.]],

                       [[  5., 105.],
                        [ 15., 115.],
                        [ 25., 125.]]]]), device='cuda:0', size=(6, 6, 2),
       nnz=4, layout=torch.sparse_bsc)
# _ccol_indices
tensor([0, 2, 4], device='cuda:0')
# _row_indices
tensor([0, 1, 0, 2], device='cuda:0')
# _values
tensor([[[[  1., 101.],
          [ 11., 111.],
          [ 21., 121.]],

         [[  2., 102.],
          [ 12., 112.],
          [ 22., 122.]]],


        [[[  2., 102.],
          [ 12., 112.],
          [ 22., 122.]],

         [[  3., 103.],
          [ 13., 113.],
          [ 23., 123.]]],


        [[[  3., 103.],
          [ 13., 113.],
          [ 23., 123.]],

         [[  4., 104.],
          [ 14., 114.],
          [ 24., 124.]]],


        [[[  4., 104.],
          [ 14., 114.],
          [ 24., 124.]],

         [[  5., 105.],
          [ 15., 115.],
          [ 25., 125.]]]], device='cuda:0')

########## torch.float32/torch.int64/size=()+(9, 4)+(4, 2) ##########
# sparse tensor
tensor(ccol_indices=tensor([0, 2, 4]),
       row_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[[[1.0000e+00, 1.0010e+03],
                         [1.0100e+02, 1.1010e+03],
                         [2.0100e+02, 1.2010e+03],
                         [3.0100e+02, 1.3010e+03]],

                        [[1.1000e+01, 1.0110e+03],
                         [1.1100e+02, 1.1110e+03],
                         [2.1100e+02, 1.2110e+03],
                         [3.1100e+02, 1.3110e+03]]],


                       [[[2.0000e+00, 1.0020e+03],
                         [1.0200e+02, 1.1020e+03],
                         [2.0200e+02, 1.2020e+03],
                         [3.0200e+02, 1.3020e+03]],

                        [[1.2000e+01, 1.0120e+03],
                         [1.1200e+02, 1.1120e+03],
                         [2.1200e+02, 1.2120e+03],
                         [3.1200e+02, 1.3120e+03]]],


                       [[[3.0000e+00, 1.0030e+03],
                         [1.0300e+02, 1.1030e+03],
                         [2.0300e+02, 1.2030e+03],
                         [3.0300e+02, 1.3030e+03]],

                        [[1.3000e+01, 1.0130e+03],
                         [1.1300e+02, 1.1130e+03],
                         [2.1300e+02, 1.2130e+03],
                         [3.1300e+02, 1.3130e+03]]]],



                      [[[[2.0000e+00, 1.0020e+03],
                         [1.0200e+02, 1.1020e+03],
                         [2.0200e+02, 1.2020e+03],
                         [3.0200e+02, 1.3020e+03]],

                        [[1.2000e+01, 1.0120e+03],
                         [1.1200e+02, 1.1120e+03],
                         [2.1200e+02, 1.2120e+03],
                         [3.1200e+02, 1.3120e+03]]],


                       [[[3.0000e+00, 1.0030e+03],
                         [1.0300e+02, 1.1030e+03],
                         [2.0300e+02, 1.2030e+03],
                         [3.0300e+02, 1.3030e+03]],

                        [[1.3000e+01, 1.0130e+03],
                         [1.1300e+02, 1.1130e+03],
                         [2.1300e+02, 1.2130e+03],
                         [3.1300e+02, 1.3130e+03]]],


                       [[[4.0000e+00, 1.0040e+03],
                         [1.0400e+02, 1.1040e+03],
                         [2.0400e+02, 1.2040e+03],
                         [3.0400e+02, 1.3040e+03]],

                        [[1.4000e+01, 1.0140e+03],
                         [1.1400e+02, 1.1140e+03],
                         [2.1400e+02, 1.2140e+03],
                         [3.1400e+02, 1.3140e+03]]]],



                      [[[[3.0000e+00, 1.0030e+03],
                         [1.0300e+02, 1.1030e+03],
                         [2.0300e+02, 1.2030e+03],
                         [3.0300e+02, 1.3030e+03]],

                        [[1.3000e+01, 1.0130e+03],
                         [1.1300e+02, 1.1130e+03],
                         [2.1300e+02, 1.2130e+03],
                         [3.1300e+02, 1.3130e+03]]],


                       [[[4.0000e+00, 1.0040e+03],
                         [1.0400e+02, 1.1040e+03],
                         [2.0400e+02, 1.2040e+03],
                         [3.0400e+02, 1.3040e+03]],

                        [[1.4000e+01, 1.0140e+03],
                         [1.1400e+02, 1.1140e+03],
                         [2.1400e+02, 1.2140e+03],
                         [3.1400e+02, 1.3140e+03]]],


                       [[[5.0000e+00, 1.0050e+03],
                         [1.0500e+02, 1.1050e+03],
                         [2.0500e+02, 1.2050e+03],
                         [3.0500e+02, 1.3050e+03]],

                        [[1.5000e+01, 1.0150e+03],
                         [1.1500e+02, 1.1150e+03],
                         [2.1500e+02, 1.2150e+03],
                         [3.1500e+02, 1.3150e+03]]]],



                      [[[[4.0000e+00, 1.0040e+03],
                         [1.0400e+02, 1.1040e+03],
                         [2.0400e+02, 1.2040e+03],
                         [3.0400e+02, 1.3040e+03]],

                        [[1.4000e+01, 1.0140e+03],
                         [1.1400e+02, 1.1140e+03],
                         [2.1400e+02, 1.2140e+03],
                         [3.1400e+02, 1.3140e+03]]],


                       [[[5.0000e+00, 1.0050e+03],
                         [1.0500e+02, 1.1050e+03],
                         [2.0500e+02, 1.2050e+03],
                         [3.0500e+02, 1.3050e+03]],

                        [[1.5000e+01, 1.0150e+03],
                         [1.1500e+02, 1.1150e+03],
                         [2.1500e+02, 1.2150e+03],
                         [3.1500e+02, 1.3150e+03]]],


                       [[[6.0000e+00, 1.0060e+03],
                         [1.0600e+02, 1.1060e+03],
                         [2.0600e+02, 1.2060e+03],
                         [3.0600e+02, 1.3060e+03]],

                        [[1.6000e+01, 1.0160e+03],
                         [1.1600e+02, 1.1160e+03],
                         [2.1600e+02, 1.2160e+03],
                         [3.1600e+02, 1.3160e+03]]]]]), device='cuda:0',
       size=(9, 4, 4, 2), nnz=4, layout=torch.sparse_bsc)
# _ccol_indices
tensor([0, 2, 4], device='cuda:0')
# _row_indices
tensor([0, 1, 0, 2], device='cuda:0')
# _values
tensor([[[[[1.0000e+00, 1.0010e+03],
           [1.0100e+02, 1.1010e+03],
           [2.0100e+02, 1.2010e+03],
           [3.0100e+02, 1.3010e+03]],

          [[1.1000e+01, 1.0110e+03],
           [1.1100e+02, 1.1110e+03],
           [2.1100e+02, 1.2110e+03],
           [3.1100e+02, 1.3110e+03]]],


         [[[2.0000e+00, 1.0020e+03],
           [1.0200e+02, 1.1020e+03],
           [2.0200e+02, 1.2020e+03],
           [3.0200e+02, 1.3020e+03]],

          [[1.2000e+01, 1.0120e+03],
           [1.1200e+02, 1.1120e+03],
           [2.1200e+02, 1.2120e+03],
           [3.1200e+02, 1.3120e+03]]],


         [[[3.0000e+00, 1.0030e+03],
           [1.0300e+02, 1.1030e+03],
           [2.0300e+02, 1.2030e+03],
           [3.0300e+02, 1.3030e+03]],

          [[1.3000e+01, 1.0130e+03],
           [1.1300e+02, 1.1130e+03],
           [2.1300e+02, 1.2130e+03],
           [3.1300e+02, 1.3130e+03]]]],



        [[[[2.0000e+00, 1.0020e+03],
           [1.0200e+02, 1.1020e+03],
           [2.0200e+02, 1.2020e+03],
           [3.0200e+02, 1.3020e+03]],

          [[1.2000e+01, 1.0120e+03],
           [1.1200e+02, 1.1120e+03],
           [2.1200e+02, 1.2120e+03],
           [3.1200e+02, 1.3120e+03]]],


         [[[3.0000e+00, 1.0030e+03],
           [1.0300e+02, 1.1030e+03],
           [2.0300e+02, 1.2030e+03],
           [3.0300e+02, 1.3030e+03]],

          [[1.3000e+01, 1.0130e+03],
           [1.1300e+02, 1.1130e+03],
           [2.1300e+02, 1.2130e+03],
           [3.1300e+02, 1.3130e+03]]],


         [[[4.0000e+00, 1.0040e+03],
           [1.0400e+02, 1.1040e+03],
           [2.0400e+02, 1.2040e+03],
           [3.0400e+02, 1.3040e+03]],

          [[1.4000e+01, 1.0140e+03],
           [1.1400e+02, 1.1140e+03],
           [2.1400e+02, 1.2140e+03],
           [3.1400e+02, 1.3140e+03]]]],



        [[[[3.0000e+00, 1.0030e+03],
           [1.0300e+02, 1.1030e+03],
           [2.0300e+02, 1.2030e+03],
           [3.0300e+02, 1.3030e+03]],

          [[1.3000e+01, 1.0130e+03],
           [1.1300e+02, 1.1130e+03],
           [2.1300e+02, 1.2130e+03],
           [3.1300e+02, 1.3130e+03]]],


         [[[4.0000e+00, 1.0040e+03],
           [1.0400e+02, 1.1040e+03],
           [2.0400e+02, 1.2040e+03],
           [3.0400e+02, 1.3040e+03]],

          [[1.4000e+01, 1.0140e+03],
           [1.1400e+02, 1.1140e+03],
           [2.1400e+02, 1.2140e+03],
           [3.1400e+02, 1.3140e+03]]],


         [[[5.0000e+00, 1.0050e+03],
           [1.0500e+02, 1.1050e+03],
           [2.0500e+02, 1.2050e+03],
           [3.0500e+02, 1.3050e+03]],

          [[1.5000e+01, 1.0150e+03],
           [1.1500e+02, 1.1150e+03],
           [2.1500e+02, 1.2150e+03],
           [3.1500e+02, 1.3150e+03]]]],



        [[[[4.0000e+00, 1.0040e+03],
           [1.0400e+02, 1.1040e+03],
           [2.0400e+02, 1.2040e+03],
           [3.0400e+02, 1.3040e+03]],

          [[1.4000e+01, 1.0140e+03],
           [1.1400e+02, 1.1140e+03],
           [2.1400e+02, 1.2140e+03],
           [3.1400e+02, 1.3140e+03]]],


         [[[5.0000e+00, 1.0050e+03],
           [1.0500e+02, 1.1050e+03],
           [2.0500e+02, 1.2050e+03],
           [3.0500e+02, 1.3050e+03]],

          [[1.5000e+01, 1.0150e+03],
           [1.1500e+02, 1.1150e+03],
           [2.1500e+02, 1.2150e+03],
           [3.1500e+02, 1.3150e+03]]],


         [[[6.0000e+00, 1.0060e+03],
           [1.0600e+02, 1.1060e+03],
           [2.0600e+02, 1.2060e+03],
           [3.0600e+02, 1.3060e+03]],

          [[1.6000e+01, 1.0160e+03],
           [1.1600e+02, 1.1160e+03],
           [2.1600e+02, 1.2160e+03],
           [3.1600e+02, 1.3160e+03]]]]], device='cuda:0')

########## torch.float32/torch.int64/size=(2, 3)+(6, 6)+(2, 1) ##########
# sparse tensor
tensor(ccol_indices=tensor([[[0, 2, 4],
                             [0, 3, 4],
                             [0, 1, 4]],

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       row_indices=tensor([[[0, 1, 0, 1],
                            [0, 1, 2, 0],
                            [0, 0, 1, 2]],

                           [[1, 0, 1, 2],
                            [0, 2, 0, 1],
                            [0, 1, 2, 1]]]),
       values=tensor([[[[[[[  1.],
                           [101.]],

                          [[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]]],


                         [[[  2.],
                           [102.]],

                          [[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]]]],



                        [[[[  2.],
                           [102.]],

                          [[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]]],


                         [[[  3.],
                           [103.]],

                          [[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]]]],



                        [[[[  3.],
                           [103.]],

                          [[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]]],


                         [[[  4.],
                           [104.]],

                          [[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]]]],



                        [[[[  4.],
                           [104.]],

                          [[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]]],


                         [[[  5.],
                           [105.]],

                          [[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]]]]],




                       [[[[[  5.],
                           [105.]],

                          [[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]]],


                         [[[  6.],
                           [106.]],

                          [[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]]]],



                        [[[[  6.],
                           [106.]],

                          [[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]]],


                         [[[  7.],
                           [107.]],

                          [[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]]]],



                        [[[[  7.],
                           [107.]],

                          [[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]]],


                         [[[  8.],
                           [108.]],

                          [[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]]]],



                        [[[[  8.],
                           [108.]],

                          [[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]]],


                         [[[  9.],
                           [109.]],

                          [[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]]]]],




                       [[[[[  9.],
                           [109.]],

                          [[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]]],


                         [[[ 10.],
                           [110.]],

                          [[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]]]],



                        [[[[ 10.],
                           [110.]],

                          [[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]]],


                         [[[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]]]],



                        [[[[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]]],


                         [[[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]]]],



                        [[[[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]]],


                         [[[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]]]]]],





                      [[[[[[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]]],


                         [[[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]]]],



                        [[[[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]]],


                         [[[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]]]],



                        [[[[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]]],


                         [[[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]],

                          [[ 36.],
                           [136.]]]],



                        [[[[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]],

                          [[ 36.],
                           [136.]]],


                         [[[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]],

                          [[ 37.],
                           [137.]]]]],




                       [[[[[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]],

                          [[ 37.],
                           [137.]]],


                         [[[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]],

                          [[ 38.],
                           [138.]]]],



                        [[[[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]],

                          [[ 38.],
                           [138.]]],


                         [[[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]],

                          [[ 39.],
                           [139.]]]],



                        [[[[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]],

                          [[ 39.],
                           [139.]]],


                         [[[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]],

                          [[ 40.],
                           [140.]]]],



                        [[[[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]],

                          [[ 40.],
                           [140.]]],


                         [[[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]],

                          [[ 41.],
                           [141.]]]]],




                       [[[[[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]],

                          [[ 41.],
                           [141.]]],


                         [[[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]],

                          [[ 42.],
                           [142.]]]],



                        [[[[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]],

                          [[ 42.],
                           [142.]]],


                         [[[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]],

                          [[ 43.],
                           [143.]]]],



                        [[[[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]],

                          [[ 43.],
                           [143.]]],


                         [[[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]],

                          [[ 44.],
                           [144.]]]],



                        [[[[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]],

                          [[ 44.],
                           [144.]]],


                         [[[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]],

                          [[ 45.],
                           [145.]]]]]]]), device='cuda:0',
       size=(2, 3, 6, 6, 2, 1), nnz=4, layout=torch.sparse_bsc)
# _ccol_indices
tensor([[[0, 2, 4],
         [0, 3, 4],
         [0, 1, 4]],

        [[0, 1, 4],
         [0, 2, 4],
         [0, 3, 4]]], device='cuda:0')
# _row_indices
tensor([[[0, 1, 0, 1],
         [0, 1, 2, 0],
         [0, 0, 1, 2]],

        [[1, 0, 1, 2],
         [0, 2, 0, 1],
         [0, 1, 2, 1]]], device='cuda:0')
# _values
tensor([[[[[[[  1.],
             [101.]],

            [[ 11.],
             [111.]],

            [[ 21.],
             [121.]]],


           [[[  2.],
             [102.]],

            [[ 12.],
             [112.]],

            [[ 22.],
             [122.]]]],



          [[[[  2.],
             [102.]],

            [[ 12.],
             [112.]],

            [[ 22.],
             [122.]]],


           [[[  3.],
             [103.]],

            [[ 13.],
             [113.]],

            [[ 23.],
             [123.]]]],



          [[[[  3.],
             [103.]],

            [[ 13.],
             [113.]],

            [[ 23.],
             [123.]]],


           [[[  4.],
             [104.]],

            [[ 14.],
             [114.]],

            [[ 24.],
             [124.]]]],



          [[[[  4.],
             [104.]],

            [[ 14.],
             [114.]],

            [[ 24.],
             [124.]]],


           [[[  5.],
             [105.]],

            [[ 15.],
             [115.]],

            [[ 25.],
             [125.]]]]],




         [[[[[  5.],
             [105.]],

            [[ 15.],
             [115.]],

            [[ 25.],
             [125.]]],


           [[[  6.],
             [106.]],

            [[ 16.],
             [116.]],

            [[ 26.],
             [126.]]]],



          [[[[  6.],
             [106.]],

            [[ 16.],
             [116.]],

            [[ 26.],
             [126.]]],


           [[[  7.],
             [107.]],

            [[ 17.],
             [117.]],

            [[ 27.],
             [127.]]]],



          [[[[  7.],
             [107.]],

            [[ 17.],
             [117.]],

            [[ 27.],
             [127.]]],


           [[[  8.],
             [108.]],

            [[ 18.],
             [118.]],

            [[ 28.],
             [128.]]]],



          [[[[  8.],
             [108.]],

            [[ 18.],
             [118.]],

            [[ 28.],
             [128.]]],


           [[[  9.],
             [109.]],

            [[ 19.],
             [119.]],

            [[ 29.],
             [129.]]]]],




         [[[[[  9.],
             [109.]],

            [[ 19.],
             [119.]],

            [[ 29.],
             [129.]]],


           [[[ 10.],
             [110.]],

            [[ 20.],
             [120.]],

            [[ 30.],
             [130.]]]],



          [[[[ 10.],
             [110.]],

            [[ 20.],
             [120.]],

            [[ 30.],
             [130.]]],


           [[[ 11.],
             [111.]],

            [[ 21.],
             [121.]],

            [[ 31.],
             [131.]]]],



          [[[[ 11.],
             [111.]],

            [[ 21.],
             [121.]],

            [[ 31.],
             [131.]]],


           [[[ 12.],
             [112.]],

            [[ 22.],
             [122.]],

            [[ 32.],
             [132.]]]],



          [[[[ 12.],
             [112.]],

            [[ 22.],
             [122.]],

            [[ 32.],
             [132.]]],


           [[[ 13.],
             [113.]],

            [[ 23.],
             [123.]],

            [[ 33.],
             [133.]]]]]],





        [[[[[[ 13.],
             [113.]],

            [[ 23.],
             [123.]],

            [[ 33.],
             [133.]]],


           [[[ 14.],
             [114.]],

            [[ 24.],
             [124.]],

            [[ 34.],
             [134.]]]],



          [[[[ 14.],
             [114.]],

            [[ 24.],
             [124.]],

            [[ 34.],
             [134.]]],


           [[[ 15.],
             [115.]],

            [[ 25.],
             [125.]],

            [[ 35.],
             [135.]]]],



          [[[[ 15.],
             [115.]],

            [[ 25.],
             [125.]],

            [[ 35.],
             [135.]]],


           [[[ 16.],
             [116.]],

            [[ 26.],
             [126.]],

            [[ 36.],
             [136.]]]],



          [[[[ 16.],
             [116.]],

            [[ 26.],
             [126.]],

            [[ 36.],
             [136.]]],


           [[[ 17.],
             [117.]],

            [[ 27.],
             [127.]],

            [[ 37.],
             [137.]]]]],




         [[[[[ 17.],
             [117.]],

            [[ 27.],
             [127.]],

            [[ 37.],
             [137.]]],


           [[[ 18.],
             [118.]],

            [[ 28.],
             [128.]],

            [[ 38.],
             [138.]]]],



          [[[[ 18.],
             [118.]],

            [[ 28.],
             [128.]],

            [[ 38.],
             [138.]]],


           [[[ 19.],
             [119.]],

            [[ 29.],
             [129.]],

            [[ 39.],
             [139.]]]],



          [[[[ 19.],
             [119.]],

            [[ 29.],
             [129.]],

            [[ 39.],
             [139.]]],


           [[[ 20.],
             [120.]],

            [[ 30.],
             [130.]],

            [[ 40.],
             [140.]]]],



          [[[[ 20.],
             [120.]],

            [[ 30.],
             [130.]],

            [[ 40.],
             [140.]]],


           [[[ 21.],
             [121.]],

            [[ 31.],
             [131.]],

            [[ 41.],
             [141.]]]]],




         [[[[[ 21.],
             [121.]],

            [[ 31.],
             [131.]],

            [[ 41.],
             [141.]]],


           [[[ 22.],
             [122.]],

            [[ 32.],
             [132.]],

            [[ 42.],
             [142.]]]],



          [[[[ 22.],
             [122.]],

            [[ 32.],
             [132.]],

            [[ 42.],
             [142.]]],


           [[[ 23.],
             [123.]],

            [[ 33.],
             [133.]],

            [[ 43.],
             [143.]]]],



          [[[[ 23.],
             [123.]],

            [[ 33.],
             [133.]],

            [[ 43.],
             [143.]]],


           [[[ 24.],
             [124.]],

            [[ 34.],
             [134.]],

            [[ 44.],
             [144.]]]],



          [[[[ 24.],
             [124.]],

            [[ 34.],
             [134.]],

            [[ 44.],
             [144.]]],


           [[[ 25.],
             [125.]],

            [[ 35.],
             [135.]],

            [[ 45.],
             [145.]]]]]]], device='cuda:0')


########## torch.float64/torch.int64/size=()+(6, 6)+(2,) ##########
# sparse tensor
tensor(ccol_indices=tensor([0, 2, 4]),
       row_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[[  1., 101.],
                        [ 11., 111.],
                        [ 21., 121.]],

                       [[  2., 102.],
                        [ 12., 112.],
                        [ 22., 122.]]],


                      [[[  2., 102.],
                        [ 12., 112.],
                        [ 22., 122.]],

                       [[  3., 103.],
                        [ 13., 113.],
                        [ 23., 123.]]],


                      [[[  3., 103.],
                        [ 13., 113.],
                        [ 23., 123.]],

                       [[  4., 104.],
                        [ 14., 114.],
                        [ 24., 124.]]],


                      [[[  4., 104.],
                        [ 14., 114.],
                        [ 24., 124.]],

                       [[  5., 105.],
                        [ 15., 115.],
                        [ 25., 125.]]]]), device='cuda:0', size=(6, 6, 2),
       nnz=4, dtype=torch.float64, layout=torch.sparse_bsc)
# _ccol_indices
tensor([0, 2, 4], device='cuda:0')
# _row_indices
tensor([0, 1, 0, 2], device='cuda:0')
# _values
tensor([[[[  1., 101.],
          [ 11., 111.],
          [ 21., 121.]],

         [[  2., 102.],
          [ 12., 112.],
          [ 22., 122.]]],


        [[[  2., 102.],
          [ 12., 112.],
          [ 22., 122.]],

         [[  3., 103.],
          [ 13., 113.],
          [ 23., 123.]]],


        [[[  3., 103.],
          [ 13., 113.],
          [ 23., 123.]],

         [[  4., 104.],
          [ 14., 114.],
          [ 24., 124.]]],


        [[[  4., 104.],
          [ 14., 114.],
          [ 24., 124.]],

         [[  5., 105.],
          [ 15., 115.],
          [ 25., 125.]]]], device='cuda:0', dtype=torch.float64)

########## torch.float64/torch.int64/size=()+(9, 4)+(4, 2) ##########
# sparse tensor
tensor(ccol_indices=tensor([0, 2, 4]),
       row_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[[[1.0000e+00, 1.0010e+03],
                         [1.0100e+02, 1.1010e+03],
                         [2.0100e+02, 1.2010e+03],
                         [3.0100e+02, 1.3010e+03]],

                        [[1.1000e+01, 1.0110e+03],
                         [1.1100e+02, 1.1110e+03],
                         [2.1100e+02, 1.2110e+03],
                         [3.1100e+02, 1.3110e+03]]],


                       [[[2.0000e+00, 1.0020e+03],
                         [1.0200e+02, 1.1020e+03],
                         [2.0200e+02, 1.2020e+03],
                         [3.0200e+02, 1.3020e+03]],

                        [[1.2000e+01, 1.0120e+03],
                         [1.1200e+02, 1.1120e+03],
                         [2.1200e+02, 1.2120e+03],
                         [3.1200e+02, 1.3120e+03]]],


                       [[[3.0000e+00, 1.0030e+03],
                         [1.0300e+02, 1.1030e+03],
                         [2.0300e+02, 1.2030e+03],
                         [3.0300e+02, 1.3030e+03]],

                        [[1.3000e+01, 1.0130e+03],
                         [1.1300e+02, 1.1130e+03],
                         [2.1300e+02, 1.2130e+03],
                         [3.1300e+02, 1.3130e+03]]]],



                      [[[[2.0000e+00, 1.0020e+03],
                         [1.0200e+02, 1.1020e+03],
                         [2.0200e+02, 1.2020e+03],
                         [3.0200e+02, 1.3020e+03]],

                        [[1.2000e+01, 1.0120e+03],
                         [1.1200e+02, 1.1120e+03],
                         [2.1200e+02, 1.2120e+03],
                         [3.1200e+02, 1.3120e+03]]],


                       [[[3.0000e+00, 1.0030e+03],
                         [1.0300e+02, 1.1030e+03],
                         [2.0300e+02, 1.2030e+03],
                         [3.0300e+02, 1.3030e+03]],

                        [[1.3000e+01, 1.0130e+03],
                         [1.1300e+02, 1.1130e+03],
                         [2.1300e+02, 1.2130e+03],
                         [3.1300e+02, 1.3130e+03]]],


                       [[[4.0000e+00, 1.0040e+03],
                         [1.0400e+02, 1.1040e+03],
                         [2.0400e+02, 1.2040e+03],
                         [3.0400e+02, 1.3040e+03]],

                        [[1.4000e+01, 1.0140e+03],
                         [1.1400e+02, 1.1140e+03],
                         [2.1400e+02, 1.2140e+03],
                         [3.1400e+02, 1.3140e+03]]]],



                      [[[[3.0000e+00, 1.0030e+03],
                         [1.0300e+02, 1.1030e+03],
                         [2.0300e+02, 1.2030e+03],
                         [3.0300e+02, 1.3030e+03]],

                        [[1.3000e+01, 1.0130e+03],
                         [1.1300e+02, 1.1130e+03],
                         [2.1300e+02, 1.2130e+03],
                         [3.1300e+02, 1.3130e+03]]],


                       [[[4.0000e+00, 1.0040e+03],
                         [1.0400e+02, 1.1040e+03],
                         [2.0400e+02, 1.2040e+03],
                         [3.0400e+02, 1.3040e+03]],

                        [[1.4000e+01, 1.0140e+03],
                         [1.1400e+02, 1.1140e+03],
                         [2.1400e+02, 1.2140e+03],
                         [3.1400e+02, 1.3140e+03]]],


                       [[[5.0000e+00, 1.0050e+03],
                         [1.0500e+02, 1.1050e+03],
                         [2.0500e+02, 1.2050e+03],
                         [3.0500e+02, 1.3050e+03]],

                        [[1.5000e+01, 1.0150e+03],
                         [1.1500e+02, 1.1150e+03],
                         [2.1500e+02, 1.2150e+03],
                         [3.1500e+02, 1.3150e+03]]]],



                      [[[[4.0000e+00, 1.0040e+03],
                         [1.0400e+02, 1.1040e+03],
                         [2.0400e+02, 1.2040e+03],
                         [3.0400e+02, 1.3040e+03]],

                        [[1.4000e+01, 1.0140e+03],
                         [1.1400e+02, 1.1140e+03],
                         [2.1400e+02, 1.2140e+03],
                         [3.1400e+02, 1.3140e+03]]],


                       [[[5.0000e+00, 1.0050e+03],
                         [1.0500e+02, 1.1050e+03],
                         [2.0500e+02, 1.2050e+03],
                         [3.0500e+02, 1.3050e+03]],

                        [[1.5000e+01, 1.0150e+03],
                         [1.1500e+02, 1.1150e+03],
                         [2.1500e+02, 1.2150e+03],
                         [3.1500e+02, 1.3150e+03]]],


                       [[[6.0000e+00, 1.0060e+03],
                         [1.0600e+02, 1.1060e+03],
                         [2.0600e+02, 1.2060e+03],
                         [3.0600e+02, 1.3060e+03]],

                        [[1.6000e+01, 1.0160e+03],
                         [1.1600e+02, 1.1160e+03],
                         [2.1600e+02, 1.2160e+03],
                         [3.1600e+02, 1.3160e+03]]]]]), device='cuda:0',
       size=(9, 4, 4, 2), nnz=4, dtype=torch.float64, layout=torch.sparse_bsc)
# _ccol_indices
tensor([0, 2, 4], device='cuda:0')
# _row_indices
tensor([0, 1, 0, 2], device='cuda:0')
# _values
tensor([[[[[1.0000e+00, 1.0010e+03],
           [1.0100e+02, 1.1010e+03],
           [2.0100e+02, 1.2010e+03],
           [3.0100e+02, 1.3010e+03]],

          [[1.1000e+01, 1.0110e+03],
           [1.1100e+02, 1.1110e+03],
           [2.1100e+02, 1.2110e+03],
           [3.1100e+02, 1.3110e+03]]],


         [[[2.0000e+00, 1.0020e+03],
           [1.0200e+02, 1.1020e+03],
           [2.0200e+02, 1.2020e+03],
           [3.0200e+02, 1.3020e+03]],

          [[1.2000e+01, 1.0120e+03],
           [1.1200e+02, 1.1120e+03],
           [2.1200e+02, 1.2120e+03],
           [3.1200e+02, 1.3120e+03]]],


         [[[3.0000e+00, 1.0030e+03],
           [1.0300e+02, 1.1030e+03],
           [2.0300e+02, 1.2030e+03],
           [3.0300e+02, 1.3030e+03]],

          [[1.3000e+01, 1.0130e+03],
           [1.1300e+02, 1.1130e+03],
           [2.1300e+02, 1.2130e+03],
           [3.1300e+02, 1.3130e+03]]]],



        [[[[2.0000e+00, 1.0020e+03],
           [1.0200e+02, 1.1020e+03],
           [2.0200e+02, 1.2020e+03],
           [3.0200e+02, 1.3020e+03]],

          [[1.2000e+01, 1.0120e+03],
           [1.1200e+02, 1.1120e+03],
           [2.1200e+02, 1.2120e+03],
           [3.1200e+02, 1.3120e+03]]],


         [[[3.0000e+00, 1.0030e+03],
           [1.0300e+02, 1.1030e+03],
           [2.0300e+02, 1.2030e+03],
           [3.0300e+02, 1.3030e+03]],

          [[1.3000e+01, 1.0130e+03],
           [1.1300e+02, 1.1130e+03],
           [2.1300e+02, 1.2130e+03],
           [3.1300e+02, 1.3130e+03]]],


         [[[4.0000e+00, 1.0040e+03],
           [1.0400e+02, 1.1040e+03],
           [2.0400e+02, 1.2040e+03],
           [3.0400e+02, 1.3040e+03]],

          [[1.4000e+01, 1.0140e+03],
           [1.1400e+02, 1.1140e+03],
           [2.1400e+02, 1.2140e+03],
           [3.1400e+02, 1.3140e+03]]]],



        [[[[3.0000e+00, 1.0030e+03],
           [1.0300e+02, 1.1030e+03],
           [2.0300e+02, 1.2030e+03],
           [3.0300e+02, 1.3030e+03]],

          [[1.3000e+01, 1.0130e+03],
           [1.1300e+02, 1.1130e+03],
           [2.1300e+02, 1.2130e+03],
           [3.1300e+02, 1.3130e+03]]],


         [[[4.0000e+00, 1.0040e+03],
           [1.0400e+02, 1.1040e+03],
           [2.0400e+02, 1.2040e+03],
           [3.0400e+02, 1.3040e+03]],

          [[1.4000e+01, 1.0140e+03],
           [1.1400e+02, 1.1140e+03],
           [2.1400e+02, 1.2140e+03],
           [3.1400e+02, 1.3140e+03]]],


         [[[5.0000e+00, 1.0050e+03],
           [1.0500e+02, 1.1050e+03],
           [2.0500e+02, 1.2050e+03],
           [3.0500e+02, 1.3050e+03]],

          [[1.5000e+01, 1.0150e+03],
           [1.1500e+02, 1.1150e+03],
           [2.1500e+02, 1.2150e+03],
           [3.1500e+02, 1.3150e+03]]]],



        [[[[4.0000e+00, 1.0040e+03],
           [1.0400e+02, 1.1040e+03],
           [2.0400e+02, 1.2040e+03],
           [3.0400e+02, 1.3040e+03]],

          [[1.4000e+01, 1.0140e+03],
           [1.1400e+02, 1.1140e+03],
           [2.1400e+02, 1.2140e+03],
           [3.1400e+02, 1.3140e+03]]],


         [[[5.0000e+00, 1.0050e+03],
           [1.0500e+02, 1.1050e+03],
           [2.0500e+02, 1.2050e+03],
           [3.0500e+02, 1.3050e+03]],

          [[1.5000e+01, 1.0150e+03],
           [1.1500e+02, 1.1150e+03],
           [2.1500e+02, 1.2150e+03],
           [3.1500e+02, 1.3150e+03]]],


         [[[6.0000e+00, 1.0060e+03],
           [1.0600e+02, 1.1060e+03],
           [2.0600e+02, 1.2060e+03],
           [3.0600e+02, 1.3060e+03]],

          [[1.6000e+01, 1.0160e+03],
           [1.1600e+02, 1.1160e+03],
           [2.1600e+02, 1.2160e+03],
           [3.1600e+02, 1.3160e+03]]]]], device='cuda:0', dtype=torch.float64)

########## torch.float64/torch.int64/size=(2, 3)+(6, 6)+(2, 1) ##########
# sparse tensor
tensor(ccol_indices=tensor([[[0, 2, 4],
                             [0, 3, 4],
                             [0, 1, 4]],

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       row_indices=tensor([[[0, 1, 0, 1],
                            [0, 1, 2, 0],
                            [0, 0, 1, 2]],

                           [[1, 0, 1, 2],
                            [0, 2, 0, 1],
                            [0, 1, 2, 1]]]),
       values=tensor([[[[[[[  1.],
                           [101.]],

                          [[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]]],


                         [[[  2.],
                           [102.]],

                          [[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]]]],



                        [[[[  2.],
                           [102.]],

                          [[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]]],


                         [[[  3.],
                           [103.]],

                          [[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]]]],



                        [[[[  3.],
                           [103.]],

                          [[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]]],


                         [[[  4.],
                           [104.]],

                          [[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]]]],



                        [[[[  4.],
                           [104.]],

                          [[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]]],


                         [[[  5.],
                           [105.]],

                          [[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]]]]],




                       [[[[[  5.],
                           [105.]],

                          [[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]]],


                         [[[  6.],
                           [106.]],

                          [[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]]]],



                        [[[[  6.],
                           [106.]],

                          [[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]]],


                         [[[  7.],
                           [107.]],

                          [[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]]]],



                        [[[[  7.],
                           [107.]],

                          [[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]]],


                         [[[  8.],
                           [108.]],

                          [[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]]]],



                        [[[[  8.],
                           [108.]],

                          [[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]]],


                         [[[  9.],
                           [109.]],

                          [[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]]]]],




                       [[[[[  9.],
                           [109.]],

                          [[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]]],


                         [[[ 10.],
                           [110.]],

                          [[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]]]],



                        [[[[ 10.],
                           [110.]],

                          [[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]]],


                         [[[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]]]],



                        [[[[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]]],


                         [[[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]]]],



                        [[[[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]]],


                         [[[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]]]]]],





                      [[[[[[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]]],


                         [[[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]]]],



                        [[[[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]]],


                         [[[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]]]],



                        [[[[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]]],


                         [[[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]],

                          [[ 36.],
                           [136.]]]],



                        [[[[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]],

                          [[ 36.],
                           [136.]]],


                         [[[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]],

                          [[ 37.],
                           [137.]]]]],




                       [[[[[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]],

                          [[ 37.],
                           [137.]]],


                         [[[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]],

                          [[ 38.],
                           [138.]]]],



                        [[[[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]],

                          [[ 38.],
                           [138.]]],


                         [[[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]],

                          [[ 39.],
                           [139.]]]],



                        [[[[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]],

                          [[ 39.],
                           [139.]]],


                         [[[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]],

                          [[ 40.],
                           [140.]]]],



                        [[[[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]],

                          [[ 40.],
                           [140.]]],


                         [[[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]],

                          [[ 41.],
                           [141.]]]]],




                       [[[[[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]],

                          [[ 41.],
                           [141.]]],


                         [[[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]],

                          [[ 42.],
                           [142.]]]],



                        [[[[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]],

                          [[ 42.],
                           [142.]]],


                         [[[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]],

                          [[ 43.],
                           [143.]]]],



                        [[[[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]],

                          [[ 43.],
                           [143.]]],


                         [[[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]],

                          [[ 44.],
                           [144.]]]],



                        [[[[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]],

                          [[ 44.],
                           [144.]]],


                         [[[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]],

                          [[ 45.],
                           [145.]]]]]]]), device='cuda:0',
       size=(2, 3, 6, 6, 2, 1), nnz=4, dtype=torch.float64,
       layout=torch.sparse_bsc)
# _ccol_indices
tensor([[[0, 2, 4],
         [0, 3, 4],
         [0, 1, 4]],

        [[0, 1, 4],
         [0, 2, 4],
         [0, 3, 4]]], device='cuda:0')
# _row_indices
tensor([[[0, 1, 0, 1],
         [0, 1, 2, 0],
         [0, 0, 1, 2]],

        [[1, 0, 1, 2],
         [0, 2, 0, 1],
         [0, 1, 2, 1]]], device='cuda:0')
# _values
tensor([[[[[[[  1.],
             [101.]],

            [[ 11.],
             [111.]],

            [[ 21.],
             [121.]]],


           [[[  2.],
             [102.]],

            [[ 12.],
             [112.]],

            [[ 22.],
             [122.]]]],



          [[[[  2.],
             [102.]],

            [[ 12.],
             [112.]],

            [[ 22.],
             [122.]]],


           [[[  3.],
             [103.]],

            [[ 13.],
             [113.]],

            [[ 23.],
             [123.]]]],



          [[[[  3.],
             [103.]],

            [[ 13.],
             [113.]],

            [[ 23.],
             [123.]]],


           [[[  4.],
             [104.]],

            [[ 14.],
             [114.]],

            [[ 24.],
             [124.]]]],



          [[[[  4.],
             [104.]],

            [[ 14.],
             [114.]],

            [[ 24.],
             [124.]]],


           [[[  5.],
             [105.]],

            [[ 15.],
             [115.]],

            [[ 25.],
             [125.]]]]],




         [[[[[  5.],
             [105.]],

            [[ 15.],
             [115.]],

            [[ 25.],
             [125.]]],


           [[[  6.],
             [106.]],

            [[ 16.],
             [116.]],

            [[ 26.],
             [126.]]]],



          [[[[  6.],
             [106.]],

            [[ 16.],
             [116.]],

            [[ 26.],
             [126.]]],


           [[[  7.],
             [107.]],

            [[ 17.],
             [117.]],

            [[ 27.],
             [127.]]]],



          [[[[  7.],
             [107.]],

            [[ 17.],
             [117.]],

            [[ 27.],
             [127.]]],


           [[[  8.],
             [108.]],

            [[ 18.],
             [118.]],

            [[ 28.],
             [128.]]]],



          [[[[  8.],
             [108.]],

            [[ 18.],
             [118.]],

            [[ 28.],
             [128.]]],


           [[[  9.],
             [109.]],

            [[ 19.],
             [119.]],

            [[ 29.],
             [129.]]]]],




         [[[[[  9.],
             [109.]],

            [[ 19.],
             [119.]],

            [[ 29.],
             [129.]]],


           [[[ 10.],
             [110.]],

            [[ 20.],
             [120.]],

            [[ 30.],
             [130.]]]],



          [[[[ 10.],
             [110.]],

            [[ 20.],
             [120.]],

            [[ 30.],
             [130.]]],


           [[[ 11.],
             [111.]],

            [[ 21.],
             [121.]],

            [[ 31.],
             [131.]]]],



          [[[[ 11.],
             [111.]],

            [[ 21.],
             [121.]],

            [[ 31.],
             [131.]]],


           [[[ 12.],
             [112.]],

            [[ 22.],
             [122.]],

            [[ 32.],
             [132.]]]],



          [[[[ 12.],
             [112.]],

            [[ 22.],
             [122.]],

            [[ 32.],
             [132.]]],


           [[[ 13.],
             [113.]],

            [[ 23.],
             [123.]],

            [[ 33.],
             [133.]]]]]],





        [[[[[[ 13.],
             [113.]],

            [[ 23.],
             [123.]],

            [[ 33.],
             [133.]]],


           [[[ 14.],
             [114.]],

            [[ 24.],
             [124.]],

            [[ 34.],
             [134.]]]],



          [[[[ 14.],
             [114.]],

            [[ 24.],
             [124.]],

            [[ 34.],
             [134.]]],


           [[[ 15.],
             [115.]],

            [[ 25.],
             [125.]],

            [[ 35.],
             [135.]]]],



          [[[[ 15.],
             [115.]],

            [[ 25.],
             [125.]],

            [[ 35.],
             [135.]]],


           [[[ 16.],
             [116.]],

            [[ 26.],
             [126.]],

            [[ 36.],
             [136.]]]],



          [[[[ 16.],
             [116.]],

            [[ 26.],
             [126.]],

            [[ 36.],
             [136.]]],


           [[[ 17.],
             [117.]],

            [[ 27.],
             [127.]],

            [[ 37.],
             [137.]]]]],




         [[[[[ 17.],
             [117.]],

            [[ 27.],
             [127.]],

            [[ 37.],
             [137.]]],


           [[[ 18.],
             [118.]],

            [[ 28.],
             [128.]],

            [[ 38.],
             [138.]]]],



          [[[[ 18.],
             [118.]],

            [[ 28.],
             [128.]],

            [[ 38.],
             [138.]]],


           [[[ 19.],
             [119.]],

            [[ 29.],
             [129.]],

            [[ 39.],
             [139.]]]],



          [[[[ 19.],
             [119.]],

            [[ 29.],
             [129.]],

            [[ 39.],
             [139.]]],


           [[[ 20.],
             [120.]],

            [[ 30.],
             [130.]],

            [[ 40.],
             [140.]]]],



          [[[[ 20.],
             [120.]],

            [[ 30.],
             [130.]],

            [[ 40.],
             [140.]]],


           [[[ 21.],
             [121.]],

            [[ 31.],
             [131.]],

            [[ 41.],
             [141.]]]]],




         [[[[[ 21.],
             [121.]],

            [[ 31.],
             [131.]],

            [[ 41.],
             [141.]]],


           [[[ 22.],
             [122.]],

            [[ 32.],
             [132.]],

            [[ 42.],
             [142.]]]],



          [[[[ 22.],
             [122.]],

            [[ 32.],
             [132.]],

            [[ 42.],
             [142.]]],


           [[[ 23.],
             [123.]],

            [[ 33.],
             [133.]],

            [[ 43.],
             [143.]]]],



          [[[[ 23.],
             [123.]],

            [[ 33.],
             [133.]],

            [[ 43.],
             [143.]]],


           [[[ 24.],
             [124.]],

            [[ 34.],
             [134.]],

            [[ 44.],
             [144.]]]],



          [[[[ 24.],
             [124.]],

            [[ 34.],
             [134.]],

            [[ 44.],
             [144.]]],


           [[[ 25.],
             [125.]],

            [[ 35.],
             [135.]],

            [[ 45.],
             [145.]]]]]]], device='cuda:0', dtype=torch.float64)