TestSparseCompressedCUDA.test_print_SparseBSR_cuda.expect

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

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

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

                      [[4.],
                       [5.]]]), device='cuda:0', size=(4, 3), nnz=4,
       layout=torch.sparse_bsr)
# _crow_indices
tensor([0, 2, 4], device='cuda:0', dtype=torch.int32)
# _col_indices
tensor([0, 1, 0, 2], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[1.],
         [2.]],

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

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

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

########## torch.float32/torch.int32/size=()+(0, 0)+() ##########
# sparse tensor
tensor(crow_indices=tensor([0]),
       col_indices=tensor([], size=(0,)),
       values=tensor([], size=(0, 2, 1)), device='cuda:0', size=(0, 0), nnz=0,
       layout=torch.sparse_bsr)
# _crow_indices
tensor([0], device='cuda:0', dtype=torch.int32)
# _col_indices
tensor([], device='cuda:0', dtype=torch.int32)
# _values
tensor([], device='cuda:0', size=(0, 2, 1))

########## torch.float32/torch.int32/size=(2,)+(2, 6)+() ##########
# sparse tensor
tensor(crow_indices=tensor([[0, 2, 4],
                            [0, 3, 4]]),
       col_indices=tensor([[0, 1, 0, 1],
                           [0, 1, 2, 0]]),
       values=tensor([[[[ 1., 11.]],

                       [[ 2., 12.]],

                       [[ 3., 13.]],

                       [[ 4., 14.]]],


                      [[[ 5., 15.]],

                       [[ 6., 16.]],

                       [[ 7., 17.]],

                       [[ 8., 18.]]]]), device='cuda:0', size=(2, 2, 6), nnz=4,
       layout=torch.sparse_bsr)
# _crow_indices
tensor([[0, 2, 4],
        [0, 3, 4]], device='cuda:0', dtype=torch.int32)
# _col_indices
tensor([[0, 1, 0, 1],
        [0, 1, 2, 0]], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[ 1., 11.]],

         [[ 2., 12.]],

         [[ 3., 13.]],

         [[ 4., 14.]]],


        [[[ 5., 15.]],

         [[ 6., 16.]],

         [[ 7., 17.]],

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

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

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       col_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., 21.],
                         [ 2., 12., 22.]],

                        [[ 2., 12., 22.],
                         [ 3., 13., 23.]],

                        [[ 3., 13., 23.],
                         [ 4., 14., 24.]],

                        [[ 4., 14., 24.],
                         [ 5., 15., 25.]]],


                       [[[ 5., 15., 25.],
                         [ 6., 16., 26.]],

                        [[ 6., 16., 26.],
                         [ 7., 17., 27.]],

                        [[ 7., 17., 27.],
                         [ 8., 18., 28.]],

                        [[ 8., 18., 28.],
                         [ 9., 19., 29.]]],


                       [[[ 9., 19., 29.],
                         [10., 20., 30.]],

                        [[10., 20., 30.],
                         [11., 21., 31.]],

                        [[11., 21., 31.],
                         [12., 22., 32.]],

                        [[12., 22., 32.],
                         [13., 23., 33.]]]],



                      [[[[13., 23., 33.],
                         [14., 24., 34.]],

                        [[14., 24., 34.],
                         [15., 25., 35.]],

                        [[15., 25., 35.],
                         [16., 26., 36.]],

                        [[16., 26., 36.],
                         [17., 27., 37.]]],


                       [[[17., 27., 37.],
                         [18., 28., 38.]],

                        [[18., 28., 38.],
                         [19., 29., 39.]],

                        [[19., 29., 39.],
                         [20., 30., 40.]],

                        [[20., 30., 40.],
                         [21., 31., 41.]]],


                       [[[21., 31., 41.],
                         [22., 32., 42.]],

                        [[22., 32., 42.],
                         [23., 33., 43.]],

                        [[23., 33., 43.],
                         [24., 34., 44.]],

                        [[24., 34., 44.],
                         [25., 35., 45.]]]]]), device='cuda:0',
       size=(2, 3, 4, 9), nnz=4, layout=torch.sparse_bsr)
# _crow_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)
# _col_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., 21.],
           [ 2., 12., 22.]],

          [[ 2., 12., 22.],
           [ 3., 13., 23.]],

          [[ 3., 13., 23.],
           [ 4., 14., 24.]],

          [[ 4., 14., 24.],
           [ 5., 15., 25.]]],


         [[[ 5., 15., 25.],
           [ 6., 16., 26.]],

          [[ 6., 16., 26.],
           [ 7., 17., 27.]],

          [[ 7., 17., 27.],
           [ 8., 18., 28.]],

          [[ 8., 18., 28.],
           [ 9., 19., 29.]]],


         [[[ 9., 19., 29.],
           [10., 20., 30.]],

          [[10., 20., 30.],
           [11., 21., 31.]],

          [[11., 21., 31.],
           [12., 22., 32.]],

          [[12., 22., 32.],
           [13., 23., 33.]]]],



        [[[[13., 23., 33.],
           [14., 24., 34.]],

          [[14., 24., 34.],
           [15., 25., 35.]],

          [[15., 25., 35.],
           [16., 26., 36.]],

          [[16., 26., 36.],
           [17., 27., 37.]]],


         [[[17., 27., 37.],
           [18., 28., 38.]],

          [[18., 28., 38.],
           [19., 29., 39.]],

          [[19., 29., 39.],
           [20., 30., 40.]],

          [[20., 30., 40.],
           [21., 31., 41.]]],


         [[[21., 31., 41.],
           [22., 32., 42.]],

          [[22., 32., 42.],
           [23., 33., 43.]],

          [[23., 33., 43.],
           [24., 34., 44.]],

          [[24., 34., 44.],
           [25., 35., 45.]]]]], device='cuda:0')


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

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

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

                      [[4.],
                       [5.]]]), device='cuda:0', size=(4, 3), nnz=4,
       dtype=torch.float64, layout=torch.sparse_bsr)
# _crow_indices
tensor([0, 2, 4], device='cuda:0', dtype=torch.int32)
# _col_indices
tensor([0, 1, 0, 2], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[1.],
         [2.]],

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

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

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

########## torch.float64/torch.int32/size=()+(0, 0)+() ##########
# sparse tensor
tensor(crow_indices=tensor([0]),
       col_indices=tensor([], size=(0,)),
       values=tensor([], size=(0, 2, 1)), device='cuda:0', size=(0, 0), nnz=0,
       dtype=torch.float64, layout=torch.sparse_bsr)
# _crow_indices
tensor([0], device='cuda:0', dtype=torch.int32)
# _col_indices
tensor([], device='cuda:0', dtype=torch.int32)
# _values
tensor([], device='cuda:0', size=(0, 2, 1), dtype=torch.float64)

########## torch.float64/torch.int32/size=(2,)+(2, 6)+() ##########
# sparse tensor
tensor(crow_indices=tensor([[0, 2, 4],
                            [0, 3, 4]]),
       col_indices=tensor([[0, 1, 0, 1],
                           [0, 1, 2, 0]]),
       values=tensor([[[[ 1., 11.]],

                       [[ 2., 12.]],

                       [[ 3., 13.]],

                       [[ 4., 14.]]],


                      [[[ 5., 15.]],

                       [[ 6., 16.]],

                       [[ 7., 17.]],

                       [[ 8., 18.]]]]), device='cuda:0', size=(2, 2, 6), nnz=4,
       dtype=torch.float64, layout=torch.sparse_bsr)
# _crow_indices
tensor([[0, 2, 4],
        [0, 3, 4]], device='cuda:0', dtype=torch.int32)
# _col_indices
tensor([[0, 1, 0, 1],
        [0, 1, 2, 0]], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[ 1., 11.]],

         [[ 2., 12.]],

         [[ 3., 13.]],

         [[ 4., 14.]]],


        [[[ 5., 15.]],

         [[ 6., 16.]],

         [[ 7., 17.]],

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

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

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       col_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., 21.],
                         [ 2., 12., 22.]],

                        [[ 2., 12., 22.],
                         [ 3., 13., 23.]],

                        [[ 3., 13., 23.],
                         [ 4., 14., 24.]],

                        [[ 4., 14., 24.],
                         [ 5., 15., 25.]]],


                       [[[ 5., 15., 25.],
                         [ 6., 16., 26.]],

                        [[ 6., 16., 26.],
                         [ 7., 17., 27.]],

                        [[ 7., 17., 27.],
                         [ 8., 18., 28.]],

                        [[ 8., 18., 28.],
                         [ 9., 19., 29.]]],


                       [[[ 9., 19., 29.],
                         [10., 20., 30.]],

                        [[10., 20., 30.],
                         [11., 21., 31.]],

                        [[11., 21., 31.],
                         [12., 22., 32.]],

                        [[12., 22., 32.],
                         [13., 23., 33.]]]],



                      [[[[13., 23., 33.],
                         [14., 24., 34.]],

                        [[14., 24., 34.],
                         [15., 25., 35.]],

                        [[15., 25., 35.],
                         [16., 26., 36.]],

                        [[16., 26., 36.],
                         [17., 27., 37.]]],


                       [[[17., 27., 37.],
                         [18., 28., 38.]],

                        [[18., 28., 38.],
                         [19., 29., 39.]],

                        [[19., 29., 39.],
                         [20., 30., 40.]],

                        [[20., 30., 40.],
                         [21., 31., 41.]]],


                       [[[21., 31., 41.],
                         [22., 32., 42.]],

                        [[22., 32., 42.],
                         [23., 33., 43.]],

                        [[23., 33., 43.],
                         [24., 34., 44.]],

                        [[24., 34., 44.],
                         [25., 35., 45.]]]]]), device='cuda:0',
       size=(2, 3, 4, 9), nnz=4, dtype=torch.float64, layout=torch.sparse_bsr)
# _crow_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)
# _col_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., 21.],
           [ 2., 12., 22.]],

          [[ 2., 12., 22.],
           [ 3., 13., 23.]],

          [[ 3., 13., 23.],
           [ 4., 14., 24.]],

          [[ 4., 14., 24.],
           [ 5., 15., 25.]]],


         [[[ 5., 15., 25.],
           [ 6., 16., 26.]],

          [[ 6., 16., 26.],
           [ 7., 17., 27.]],

          [[ 7., 17., 27.],
           [ 8., 18., 28.]],

          [[ 8., 18., 28.],
           [ 9., 19., 29.]]],


         [[[ 9., 19., 29.],
           [10., 20., 30.]],

          [[10., 20., 30.],
           [11., 21., 31.]],

          [[11., 21., 31.],
           [12., 22., 32.]],

          [[12., 22., 32.],
           [13., 23., 33.]]]],



        [[[[13., 23., 33.],
           [14., 24., 34.]],

          [[14., 24., 34.],
           [15., 25., 35.]],

          [[15., 25., 35.],
           [16., 26., 36.]],

          [[16., 26., 36.],
           [17., 27., 37.]]],


         [[[17., 27., 37.],
           [18., 28., 38.]],

          [[18., 28., 38.],
           [19., 29., 39.]],

          [[19., 29., 39.],
           [20., 30., 40.]],

          [[20., 30., 40.],
           [21., 31., 41.]]],


         [[[21., 31., 41.],
           [22., 32., 42.]],

          [[22., 32., 42.],
           [23., 33., 43.]],

          [[23., 33., 43.],
           [24., 34., 44.]],

          [[24., 34., 44.],
           [25., 35., 45.]]]]], device='cuda:0', dtype=torch.float64)


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

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

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

                      [[4.],
                       [5.]]]), device='cuda:0', size=(4, 3), nnz=4,
       layout=torch.sparse_bsr)
# _crow_indices
tensor([0, 2, 4], device='cuda:0')
# _col_indices
tensor([0, 1, 0, 2], device='cuda:0')
# _values
tensor([[[1.],
         [2.]],

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

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

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

########## torch.float32/torch.int64/size=()+(0, 0)+() ##########
# sparse tensor
tensor(crow_indices=tensor([0]),
       col_indices=tensor([], size=(0,)),
       values=tensor([], size=(0, 2, 1)), device='cuda:0', size=(0, 0), nnz=0,
       layout=torch.sparse_bsr)
# _crow_indices
tensor([0], device='cuda:0')
# _col_indices
tensor([], device='cuda:0', dtype=torch.int64)
# _values
tensor([], device='cuda:0', size=(0, 2, 1))

########## torch.float32/torch.int64/size=(2,)+(2, 6)+() ##########
# sparse tensor
tensor(crow_indices=tensor([[0, 2, 4],
                            [0, 3, 4]]),
       col_indices=tensor([[0, 1, 0, 1],
                           [0, 1, 2, 0]]),
       values=tensor([[[[ 1., 11.]],

                       [[ 2., 12.]],

                       [[ 3., 13.]],

                       [[ 4., 14.]]],


                      [[[ 5., 15.]],

                       [[ 6., 16.]],

                       [[ 7., 17.]],

                       [[ 8., 18.]]]]), device='cuda:0', size=(2, 2, 6), nnz=4,
       layout=torch.sparse_bsr)
# _crow_indices
tensor([[0, 2, 4],
        [0, 3, 4]], device='cuda:0')
# _col_indices
tensor([[0, 1, 0, 1],
        [0, 1, 2, 0]], device='cuda:0')
# _values
tensor([[[[ 1., 11.]],

         [[ 2., 12.]],

         [[ 3., 13.]],

         [[ 4., 14.]]],


        [[[ 5., 15.]],

         [[ 6., 16.]],

         [[ 7., 17.]],

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

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

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       col_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., 21.],
                         [ 2., 12., 22.]],

                        [[ 2., 12., 22.],
                         [ 3., 13., 23.]],

                        [[ 3., 13., 23.],
                         [ 4., 14., 24.]],

                        [[ 4., 14., 24.],
                         [ 5., 15., 25.]]],


                       [[[ 5., 15., 25.],
                         [ 6., 16., 26.]],

                        [[ 6., 16., 26.],
                         [ 7., 17., 27.]],

                        [[ 7., 17., 27.],
                         [ 8., 18., 28.]],

                        [[ 8., 18., 28.],
                         [ 9., 19., 29.]]],


                       [[[ 9., 19., 29.],
                         [10., 20., 30.]],

                        [[10., 20., 30.],
                         [11., 21., 31.]],

                        [[11., 21., 31.],
                         [12., 22., 32.]],

                        [[12., 22., 32.],
                         [13., 23., 33.]]]],



                      [[[[13., 23., 33.],
                         [14., 24., 34.]],

                        [[14., 24., 34.],
                         [15., 25., 35.]],

                        [[15., 25., 35.],
                         [16., 26., 36.]],

                        [[16., 26., 36.],
                         [17., 27., 37.]]],


                       [[[17., 27., 37.],
                         [18., 28., 38.]],

                        [[18., 28., 38.],
                         [19., 29., 39.]],

                        [[19., 29., 39.],
                         [20., 30., 40.]],

                        [[20., 30., 40.],
                         [21., 31., 41.]]],


                       [[[21., 31., 41.],
                         [22., 32., 42.]],

                        [[22., 32., 42.],
                         [23., 33., 43.]],

                        [[23., 33., 43.],
                         [24., 34., 44.]],

                        [[24., 34., 44.],
                         [25., 35., 45.]]]]]), device='cuda:0',
       size=(2, 3, 4, 9), nnz=4, layout=torch.sparse_bsr)
# _crow_indices
tensor([[[0, 2, 4],
         [0, 3, 4],
         [0, 1, 4]],

        [[0, 1, 4],
         [0, 2, 4],
         [0, 3, 4]]], device='cuda:0')
# _col_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., 21.],
           [ 2., 12., 22.]],

          [[ 2., 12., 22.],
           [ 3., 13., 23.]],

          [[ 3., 13., 23.],
           [ 4., 14., 24.]],

          [[ 4., 14., 24.],
           [ 5., 15., 25.]]],


         [[[ 5., 15., 25.],
           [ 6., 16., 26.]],

          [[ 6., 16., 26.],
           [ 7., 17., 27.]],

          [[ 7., 17., 27.],
           [ 8., 18., 28.]],

          [[ 8., 18., 28.],
           [ 9., 19., 29.]]],


         [[[ 9., 19., 29.],
           [10., 20., 30.]],

          [[10., 20., 30.],
           [11., 21., 31.]],

          [[11., 21., 31.],
           [12., 22., 32.]],

          [[12., 22., 32.],
           [13., 23., 33.]]]],



        [[[[13., 23., 33.],
           [14., 24., 34.]],

          [[14., 24., 34.],
           [15., 25., 35.]],

          [[15., 25., 35.],
           [16., 26., 36.]],

          [[16., 26., 36.],
           [17., 27., 37.]]],


         [[[17., 27., 37.],
           [18., 28., 38.]],

          [[18., 28., 38.],
           [19., 29., 39.]],

          [[19., 29., 39.],
           [20., 30., 40.]],

          [[20., 30., 40.],
           [21., 31., 41.]]],


         [[[21., 31., 41.],
           [22., 32., 42.]],

          [[22., 32., 42.],
           [23., 33., 43.]],

          [[23., 33., 43.],
           [24., 34., 44.]],

          [[24., 34., 44.],
           [25., 35., 45.]]]]], device='cuda:0')


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

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

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

                      [[4.],
                       [5.]]]), device='cuda:0', size=(4, 3), nnz=4,
       dtype=torch.float64, layout=torch.sparse_bsr)
# _crow_indices
tensor([0, 2, 4], device='cuda:0')
# _col_indices
tensor([0, 1, 0, 2], device='cuda:0')
# _values
tensor([[[1.],
         [2.]],

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

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

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

########## torch.float64/torch.int64/size=()+(0, 0)+() ##########
# sparse tensor
tensor(crow_indices=tensor([0]),
       col_indices=tensor([], size=(0,)),
       values=tensor([], size=(0, 2, 1)), device='cuda:0', size=(0, 0), nnz=0,
       dtype=torch.float64, layout=torch.sparse_bsr)
# _crow_indices
tensor([0], device='cuda:0')
# _col_indices
tensor([], device='cuda:0', dtype=torch.int64)
# _values
tensor([], device='cuda:0', size=(0, 2, 1), dtype=torch.float64)

########## torch.float64/torch.int64/size=(2,)+(2, 6)+() ##########
# sparse tensor
tensor(crow_indices=tensor([[0, 2, 4],
                            [0, 3, 4]]),
       col_indices=tensor([[0, 1, 0, 1],
                           [0, 1, 2, 0]]),
       values=tensor([[[[ 1., 11.]],

                       [[ 2., 12.]],

                       [[ 3., 13.]],

                       [[ 4., 14.]]],


                      [[[ 5., 15.]],

                       [[ 6., 16.]],

                       [[ 7., 17.]],

                       [[ 8., 18.]]]]), device='cuda:0', size=(2, 2, 6), nnz=4,
       dtype=torch.float64, layout=torch.sparse_bsr)
# _crow_indices
tensor([[0, 2, 4],
        [0, 3, 4]], device='cuda:0')
# _col_indices
tensor([[0, 1, 0, 1],
        [0, 1, 2, 0]], device='cuda:0')
# _values
tensor([[[[ 1., 11.]],

         [[ 2., 12.]],

         [[ 3., 13.]],

         [[ 4., 14.]]],


        [[[ 5., 15.]],

         [[ 6., 16.]],

         [[ 7., 17.]],

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

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

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       col_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., 21.],
                         [ 2., 12., 22.]],

                        [[ 2., 12., 22.],
                         [ 3., 13., 23.]],

                        [[ 3., 13., 23.],
                         [ 4., 14., 24.]],

                        [[ 4., 14., 24.],
                         [ 5., 15., 25.]]],


                       [[[ 5., 15., 25.],
                         [ 6., 16., 26.]],

                        [[ 6., 16., 26.],
                         [ 7., 17., 27.]],

                        [[ 7., 17., 27.],
                         [ 8., 18., 28.]],

                        [[ 8., 18., 28.],
                         [ 9., 19., 29.]]],


                       [[[ 9., 19., 29.],
                         [10., 20., 30.]],

                        [[10., 20., 30.],
                         [11., 21., 31.]],

                        [[11., 21., 31.],
                         [12., 22., 32.]],

                        [[12., 22., 32.],
                         [13., 23., 33.]]]],



                      [[[[13., 23., 33.],
                         [14., 24., 34.]],

                        [[14., 24., 34.],
                         [15., 25., 35.]],

                        [[15., 25., 35.],
                         [16., 26., 36.]],

                        [[16., 26., 36.],
                         [17., 27., 37.]]],


                       [[[17., 27., 37.],
                         [18., 28., 38.]],

                        [[18., 28., 38.],
                         [19., 29., 39.]],

                        [[19., 29., 39.],
                         [20., 30., 40.]],

                        [[20., 30., 40.],
                         [21., 31., 41.]]],


                       [[[21., 31., 41.],
                         [22., 32., 42.]],

                        [[22., 32., 42.],
                         [23., 33., 43.]],

                        [[23., 33., 43.],
                         [24., 34., 44.]],

                        [[24., 34., 44.],
                         [25., 35., 45.]]]]]), device='cuda:0',
       size=(2, 3, 4, 9), nnz=4, dtype=torch.float64, layout=torch.sparse_bsr)
# _crow_indices
tensor([[[0, 2, 4],
         [0, 3, 4],
         [0, 1, 4]],

        [[0, 1, 4],
         [0, 2, 4],
         [0, 3, 4]]], device='cuda:0')
# _col_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., 21.],
           [ 2., 12., 22.]],

          [[ 2., 12., 22.],
           [ 3., 13., 23.]],

          [[ 3., 13., 23.],
           [ 4., 14., 24.]],

          [[ 4., 14., 24.],
           [ 5., 15., 25.]]],


         [[[ 5., 15., 25.],
           [ 6., 16., 26.]],

          [[ 6., 16., 26.],
           [ 7., 17., 27.]],

          [[ 7., 17., 27.],
           [ 8., 18., 28.]],

          [[ 8., 18., 28.],
           [ 9., 19., 29.]]],


         [[[ 9., 19., 29.],
           [10., 20., 30.]],

          [[10., 20., 30.],
           [11., 21., 31.]],

          [[11., 21., 31.],
           [12., 22., 32.]],

          [[12., 22., 32.],
           [13., 23., 33.]]]],



        [[[[13., 23., 33.],
           [14., 24., 34.]],

          [[14., 24., 34.],
           [15., 25., 35.]],

          [[15., 25., 35.],
           [16., 26., 36.]],

          [[16., 26., 36.],
           [17., 27., 37.]]],


         [[[17., 27., 37.],
           [18., 28., 38.]],

          [[18., 28., 38.],
           [19., 29., 39.]],

          [[19., 29., 39.],
           [20., 30., 40.]],

          [[20., 30., 40.],
           [21., 31., 41.]]],


         [[[21., 31., 41.],
           [22., 32., 42.]],

          [[22., 32., 42.],
           [23., 33., 43.]],

          [[23., 33., 43.],
           [24., 34., 44.]],

          [[24., 34., 44.],
           [25., 35., 45.]]]]], device='cuda:0', dtype=torch.float64)


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

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

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


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

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

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


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

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

                       [[  5., 105.],
                        [ 15., 115.]]],


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

                       [[  5., 105.],
                        [ 15., 115.]],

                       [[  6., 106.],
                        [ 16., 116.]]]]), device='cuda:0', size=(6, 6, 2),
       nnz=4, layout=torch.sparse_bsr)
# _crow_indices
tensor([0, 2, 4], device='cuda:0', dtype=torch.int32)
# _col_indices
tensor([0, 1, 0, 2], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[  1., 101.],
          [ 11., 111.]],

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

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


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

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

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


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

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

         [[  5., 105.],
          [ 15., 115.]]],


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

         [[  5., 105.],
          [ 15., 115.]],

         [[  6., 106.],
          [ 16., 116.]]]], device='cuda:0')

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

                        [[2.1000e+01, 1.0210e+03],
                         [1.2100e+02, 1.1210e+03],
                         [2.2100e+02, 1.2210e+03],
                         [3.2100e+02, 1.3210e+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]],

                        [[2.2000e+01, 1.0220e+03],
                         [1.2200e+02, 1.1220e+03],
                         [2.2200e+02, 1.2220e+03],
                         [3.2200e+02, 1.3220e+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]],

                        [[2.2000e+01, 1.0220e+03],
                         [1.2200e+02, 1.1220e+03],
                         [2.2200e+02, 1.2220e+03],
                         [3.2200e+02, 1.3220e+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]],

                        [[2.3000e+01, 1.0230e+03],
                         [1.2300e+02, 1.1230e+03],
                         [2.2300e+02, 1.2230e+03],
                         [3.2300e+02, 1.3230e+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]],

                        [[2.3000e+01, 1.0230e+03],
                         [1.2300e+02, 1.1230e+03],
                         [2.2300e+02, 1.2230e+03],
                         [3.2300e+02, 1.3230e+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]],

                        [[2.4000e+01, 1.0240e+03],
                         [1.2400e+02, 1.1240e+03],
                         [2.2400e+02, 1.2240e+03],
                         [3.2400e+02, 1.3240e+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]],

                        [[2.4000e+01, 1.0240e+03],
                         [1.2400e+02, 1.1240e+03],
                         [2.2400e+02, 1.2240e+03],
                         [3.2400e+02, 1.3240e+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]],

                        [[2.5000e+01, 1.0250e+03],
                         [1.2500e+02, 1.1250e+03],
                         [2.2500e+02, 1.2250e+03],
                         [3.2500e+02, 1.3250e+03]]]]]), device='cuda:0',
       size=(4, 9, 4, 2), nnz=4, layout=torch.sparse_bsr)
# _crow_indices
tensor([0, 2, 4], device='cuda:0', dtype=torch.int32)
# _col_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]],

          [[2.1000e+01, 1.0210e+03],
           [1.2100e+02, 1.1210e+03],
           [2.2100e+02, 1.2210e+03],
           [3.2100e+02, 1.3210e+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]],

          [[2.2000e+01, 1.0220e+03],
           [1.2200e+02, 1.1220e+03],
           [2.2200e+02, 1.2220e+03],
           [3.2200e+02, 1.3220e+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]],

          [[2.2000e+01, 1.0220e+03],
           [1.2200e+02, 1.1220e+03],
           [2.2200e+02, 1.2220e+03],
           [3.2200e+02, 1.3220e+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]],

          [[2.3000e+01, 1.0230e+03],
           [1.2300e+02, 1.1230e+03],
           [2.2300e+02, 1.2230e+03],
           [3.2300e+02, 1.3230e+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]],

          [[2.3000e+01, 1.0230e+03],
           [1.2300e+02, 1.1230e+03],
           [2.2300e+02, 1.2230e+03],
           [3.2300e+02, 1.3230e+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]],

          [[2.4000e+01, 1.0240e+03],
           [1.2400e+02, 1.1240e+03],
           [2.2400e+02, 1.2240e+03],
           [3.2400e+02, 1.3240e+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]],

          [[2.4000e+01, 1.0240e+03],
           [1.2400e+02, 1.1240e+03],
           [2.2400e+02, 1.2240e+03],
           [3.2400e+02, 1.3240e+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]],

          [[2.5000e+01, 1.0250e+03],
           [1.2500e+02, 1.1250e+03],
           [2.2500e+02, 1.2250e+03],
           [3.2500e+02, 1.3250e+03]]]]], device='cuda:0')

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

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       col_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.]]],


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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





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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

                          [[ 36.],
                           [136.]]]]]]]), device='cuda:0',
       size=(2, 3, 6, 6, 2, 1), nnz=4, layout=torch.sparse_bsr)
# _crow_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)
# _col_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.]]],


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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





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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

            [[ 36.],
             [136.]]]]]]], device='cuda:0')


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

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

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


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

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

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


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

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

                       [[  5., 105.],
                        [ 15., 115.]]],


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

                       [[  5., 105.],
                        [ 15., 115.]],

                       [[  6., 106.],
                        [ 16., 116.]]]]), device='cuda:0', size=(6, 6, 2),
       nnz=4, dtype=torch.float64, layout=torch.sparse_bsr)
# _crow_indices
tensor([0, 2, 4], device='cuda:0', dtype=torch.int32)
# _col_indices
tensor([0, 1, 0, 2], device='cuda:0', dtype=torch.int32)
# _values
tensor([[[[  1., 101.],
          [ 11., 111.]],

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

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


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

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

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


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

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

         [[  5., 105.],
          [ 15., 115.]]],


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

         [[  5., 105.],
          [ 15., 115.]],

         [[  6., 106.],
          [ 16., 116.]]]], device='cuda:0', dtype=torch.float64)

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

                        [[2.1000e+01, 1.0210e+03],
                         [1.2100e+02, 1.1210e+03],
                         [2.2100e+02, 1.2210e+03],
                         [3.2100e+02, 1.3210e+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]],

                        [[2.2000e+01, 1.0220e+03],
                         [1.2200e+02, 1.1220e+03],
                         [2.2200e+02, 1.2220e+03],
                         [3.2200e+02, 1.3220e+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]],

                        [[2.2000e+01, 1.0220e+03],
                         [1.2200e+02, 1.1220e+03],
                         [2.2200e+02, 1.2220e+03],
                         [3.2200e+02, 1.3220e+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]],

                        [[2.3000e+01, 1.0230e+03],
                         [1.2300e+02, 1.1230e+03],
                         [2.2300e+02, 1.2230e+03],
                         [3.2300e+02, 1.3230e+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]],

                        [[2.3000e+01, 1.0230e+03],
                         [1.2300e+02, 1.1230e+03],
                         [2.2300e+02, 1.2230e+03],
                         [3.2300e+02, 1.3230e+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]],

                        [[2.4000e+01, 1.0240e+03],
                         [1.2400e+02, 1.1240e+03],
                         [2.2400e+02, 1.2240e+03],
                         [3.2400e+02, 1.3240e+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]],

                        [[2.4000e+01, 1.0240e+03],
                         [1.2400e+02, 1.1240e+03],
                         [2.2400e+02, 1.2240e+03],
                         [3.2400e+02, 1.3240e+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]],

                        [[2.5000e+01, 1.0250e+03],
                         [1.2500e+02, 1.1250e+03],
                         [2.2500e+02, 1.2250e+03],
                         [3.2500e+02, 1.3250e+03]]]]]), device='cuda:0',
       size=(4, 9, 4, 2), nnz=4, dtype=torch.float64, layout=torch.sparse_bsr)
# _crow_indices
tensor([0, 2, 4], device='cuda:0', dtype=torch.int32)
# _col_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]],

          [[2.1000e+01, 1.0210e+03],
           [1.2100e+02, 1.1210e+03],
           [2.2100e+02, 1.2210e+03],
           [3.2100e+02, 1.3210e+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]],

          [[2.2000e+01, 1.0220e+03],
           [1.2200e+02, 1.1220e+03],
           [2.2200e+02, 1.2220e+03],
           [3.2200e+02, 1.3220e+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]],

          [[2.2000e+01, 1.0220e+03],
           [1.2200e+02, 1.1220e+03],
           [2.2200e+02, 1.2220e+03],
           [3.2200e+02, 1.3220e+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]],

          [[2.3000e+01, 1.0230e+03],
           [1.2300e+02, 1.1230e+03],
           [2.2300e+02, 1.2230e+03],
           [3.2300e+02, 1.3230e+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]],

          [[2.3000e+01, 1.0230e+03],
           [1.2300e+02, 1.1230e+03],
           [2.2300e+02, 1.2230e+03],
           [3.2300e+02, 1.3230e+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]],

          [[2.4000e+01, 1.0240e+03],
           [1.2400e+02, 1.1240e+03],
           [2.2400e+02, 1.2240e+03],
           [3.2400e+02, 1.3240e+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]],

          [[2.4000e+01, 1.0240e+03],
           [1.2400e+02, 1.1240e+03],
           [2.2400e+02, 1.2240e+03],
           [3.2400e+02, 1.3240e+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]],

          [[2.5000e+01, 1.0250e+03],
           [1.2500e+02, 1.1250e+03],
           [2.2500e+02, 1.2250e+03],
           [3.2500e+02, 1.3250e+03]]]]], device='cuda:0', dtype=torch.float64)

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

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       col_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.]]],


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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





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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

                          [[ 36.],
                           [136.]]]]]]]), device='cuda:0',
       size=(2, 3, 6, 6, 2, 1), nnz=4, dtype=torch.float64,
       layout=torch.sparse_bsr)
# _crow_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)
# _col_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.]]],


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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





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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

            [[ 36.],
             [136.]]]]]]], device='cuda:0', dtype=torch.float64)


########## torch.float32/torch.int64/size=()+(6, 6)+(2,) ##########
# sparse tensor
tensor(crow_indices=tensor([0, 2, 4]),
       col_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[[  1., 101.],
                        [ 11., 111.]],

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

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


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

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

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


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

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

                       [[  5., 105.],
                        [ 15., 115.]]],


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

                       [[  5., 105.],
                        [ 15., 115.]],

                       [[  6., 106.],
                        [ 16., 116.]]]]), device='cuda:0', size=(6, 6, 2),
       nnz=4, layout=torch.sparse_bsr)
# _crow_indices
tensor([0, 2, 4], device='cuda:0')
# _col_indices
tensor([0, 1, 0, 2], device='cuda:0')
# _values
tensor([[[[  1., 101.],
          [ 11., 111.]],

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

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


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

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

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


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

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

         [[  5., 105.],
          [ 15., 115.]]],


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

         [[  5., 105.],
          [ 15., 115.]],

         [[  6., 106.],
          [ 16., 116.]]]], device='cuda:0')

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

                        [[2.1000e+01, 1.0210e+03],
                         [1.2100e+02, 1.1210e+03],
                         [2.2100e+02, 1.2210e+03],
                         [3.2100e+02, 1.3210e+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]],

                        [[2.2000e+01, 1.0220e+03],
                         [1.2200e+02, 1.1220e+03],
                         [2.2200e+02, 1.2220e+03],
                         [3.2200e+02, 1.3220e+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]],

                        [[2.2000e+01, 1.0220e+03],
                         [1.2200e+02, 1.1220e+03],
                         [2.2200e+02, 1.2220e+03],
                         [3.2200e+02, 1.3220e+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]],

                        [[2.3000e+01, 1.0230e+03],
                         [1.2300e+02, 1.1230e+03],
                         [2.2300e+02, 1.2230e+03],
                         [3.2300e+02, 1.3230e+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]],

                        [[2.3000e+01, 1.0230e+03],
                         [1.2300e+02, 1.1230e+03],
                         [2.2300e+02, 1.2230e+03],
                         [3.2300e+02, 1.3230e+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]],

                        [[2.4000e+01, 1.0240e+03],
                         [1.2400e+02, 1.1240e+03],
                         [2.2400e+02, 1.2240e+03],
                         [3.2400e+02, 1.3240e+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]],

                        [[2.4000e+01, 1.0240e+03],
                         [1.2400e+02, 1.1240e+03],
                         [2.2400e+02, 1.2240e+03],
                         [3.2400e+02, 1.3240e+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]],

                        [[2.5000e+01, 1.0250e+03],
                         [1.2500e+02, 1.1250e+03],
                         [2.2500e+02, 1.2250e+03],
                         [3.2500e+02, 1.3250e+03]]]]]), device='cuda:0',
       size=(4, 9, 4, 2), nnz=4, layout=torch.sparse_bsr)
# _crow_indices
tensor([0, 2, 4], device='cuda:0')
# _col_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]],

          [[2.1000e+01, 1.0210e+03],
           [1.2100e+02, 1.1210e+03],
           [2.2100e+02, 1.2210e+03],
           [3.2100e+02, 1.3210e+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]],

          [[2.2000e+01, 1.0220e+03],
           [1.2200e+02, 1.1220e+03],
           [2.2200e+02, 1.2220e+03],
           [3.2200e+02, 1.3220e+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]],

          [[2.2000e+01, 1.0220e+03],
           [1.2200e+02, 1.1220e+03],
           [2.2200e+02, 1.2220e+03],
           [3.2200e+02, 1.3220e+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]],

          [[2.3000e+01, 1.0230e+03],
           [1.2300e+02, 1.1230e+03],
           [2.2300e+02, 1.2230e+03],
           [3.2300e+02, 1.3230e+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]],

          [[2.3000e+01, 1.0230e+03],
           [1.2300e+02, 1.1230e+03],
           [2.2300e+02, 1.2230e+03],
           [3.2300e+02, 1.3230e+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]],

          [[2.4000e+01, 1.0240e+03],
           [1.2400e+02, 1.1240e+03],
           [2.2400e+02, 1.2240e+03],
           [3.2400e+02, 1.3240e+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]],

          [[2.4000e+01, 1.0240e+03],
           [1.2400e+02, 1.1240e+03],
           [2.2400e+02, 1.2240e+03],
           [3.2400e+02, 1.3240e+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]],

          [[2.5000e+01, 1.0250e+03],
           [1.2500e+02, 1.1250e+03],
           [2.2500e+02, 1.2250e+03],
           [3.2500e+02, 1.3250e+03]]]]], device='cuda:0')

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

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       col_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.]]],


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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





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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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




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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

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



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

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


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

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


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

                          [[ 36.],
                           [136.]]]]]]]), device='cuda:0',
       size=(2, 3, 6, 6, 2, 1), nnz=4, layout=torch.sparse_bsr)
# _crow_indices
tensor([[[0, 2, 4],
         [0, 3, 4],
         [0, 1, 4]],

        [[0, 1, 4],
         [0, 2, 4],
         [0, 3, 4]]], device='cuda:0')
# _col_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.]]],


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

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


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

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



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

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


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

            [[ 13.],
             [113.]]],


           [[[  4.],
             [104.]],

            [[ 14.],
             [114.]]]],



          [[[[  3.],
             [103.]],

            [[ 13.],
             [113.]]],


           [[[  4.],
             [104.]],

            [[ 14.],
             [114.]]],


           [[[  5.],
             [105.]],

            [[ 15.],
             [115.]]]],



          [[[[  4.],
             [104.]],

            [[ 14.],
             [114.]]],


           [[[  5.],
             [105.]],

            [[ 15.],
             [115.]]],


           [[[  6.],
             [106.]],

            [[ 16.],
             [116.]]]]],




         [[[[[  5.],
             [105.]],

            [[ 15.],
             [115.]]],


           [[[  6.],
             [106.]],

            [[ 16.],
             [116.]]],


           [[[  7.],
             [107.]],

            [[ 17.],
             [117.]]]],



          [[[[  6.],
             [106.]],

            [[ 16.],
             [116.]]],


           [[[  7.],
             [107.]],

            [[ 17.],
             [117.]]],


           [[[  8.],
             [108.]],

            [[ 18.],
             [118.]]]],



          [[[[  7.],
             [107.]],

            [[ 17.],
             [117.]]],


           [[[  8.],
             [108.]],

            [[ 18.],
             [118.]]],


           [[[  9.],
             [109.]],

            [[ 19.],
             [119.]]]],



          [[[[  8.],
             [108.]],

            [[ 18.],
             [118.]]],


           [[[  9.],
             [109.]],

            [[ 19.],
             [119.]]],


           [[[ 10.],
             [110.]],

            [[ 20.],
             [120.]]]]],




         [[[[[  9.],
             [109.]],

            [[ 19.],
             [119.]]],


           [[[ 10.],
             [110.]],

            [[ 20.],
             [120.]]],


           [[[ 11.],
             [111.]],

            [[ 21.],
             [121.]]]],



          [[[[ 10.],
             [110.]],

            [[ 20.],
             [120.]]],


           [[[ 11.],
             [111.]],

            [[ 21.],
             [121.]]],


           [[[ 12.],
             [112.]],

            [[ 22.],
             [122.]]]],



          [[[[ 11.],
             [111.]],

            [[ 21.],
             [121.]]],


           [[[ 12.],
             [112.]],

            [[ 22.],
             [122.]]],


           [[[ 13.],
             [113.]],

            [[ 23.],
             [123.]]]],



          [[[[ 12.],
             [112.]],

            [[ 22.],
             [122.]]],


           [[[ 13.],
             [113.]],

            [[ 23.],
             [123.]]],


           [[[ 14.],
             [114.]],

            [[ 24.],
             [124.]]]]]],





        [[[[[[ 13.],
             [113.]],

            [[ 23.],
             [123.]]],


           [[[ 14.],
             [114.]],

            [[ 24.],
             [124.]]],


           [[[ 15.],
             [115.]],

            [[ 25.],
             [125.]]]],



          [[[[ 14.],
             [114.]],

            [[ 24.],
             [124.]]],


           [[[ 15.],
             [115.]],

            [[ 25.],
             [125.]]],


           [[[ 16.],
             [116.]],

            [[ 26.],
             [126.]]]],



          [[[[ 15.],
             [115.]],

            [[ 25.],
             [125.]]],


           [[[ 16.],
             [116.]],

            [[ 26.],
             [126.]]],


           [[[ 17.],
             [117.]],

            [[ 27.],
             [127.]]]],



          [[[[ 16.],
             [116.]],

            [[ 26.],
             [126.]]],


           [[[ 17.],
             [117.]],

            [[ 27.],
             [127.]]],


           [[[ 18.],
             [118.]],

            [[ 28.],
             [128.]]]]],




         [[[[[ 17.],
             [117.]],

            [[ 27.],
             [127.]]],


           [[[ 18.],
             [118.]],

            [[ 28.],
             [128.]]],


           [[[ 19.],
             [119.]],

            [[ 29.],
             [129.]]]],



          [[[[ 18.],
             [118.]],

            [[ 28.],
             [128.]]],


           [[[ 19.],
             [119.]],

            [[ 29.],
             [129.]]],


           [[[ 20.],
             [120.]],

            [[ 30.],
             [130.]]]],



          [[[[ 19.],
             [119.]],

            [[ 29.],
             [129.]]],


           [[[ 20.],
             [120.]],

            [[ 30.],
             [130.]]],


           [[[ 21.],
             [121.]],

            [[ 31.],
             [131.]]]],



          [[[[ 20.],
             [120.]],

            [[ 30.],
             [130.]]],


           [[[ 21.],
             [121.]],

            [[ 31.],
             [131.]]],


           [[[ 22.],
             [122.]],

            [[ 32.],
             [132.]]]]],




         [[[[[ 21.],
             [121.]],

            [[ 31.],
             [131.]]],


           [[[ 22.],
             [122.]],

            [[ 32.],
             [132.]]],


           [[[ 23.],
             [123.]],

            [[ 33.],
             [133.]]]],



          [[[[ 22.],
             [122.]],

            [[ 32.],
             [132.]]],


           [[[ 23.],
             [123.]],

            [[ 33.],
             [133.]]],


           [[[ 24.],
             [124.]],

            [[ 34.],
             [134.]]]],



          [[[[ 23.],
             [123.]],

            [[ 33.],
             [133.]]],


           [[[ 24.],
             [124.]],

            [[ 34.],
             [134.]]],


           [[[ 25.],
             [125.]],

            [[ 35.],
             [135.]]]],



          [[[[ 24.],
             [124.]],

            [[ 34.],
             [134.]]],


           [[[ 25.],
             [125.]],

            [[ 35.],
             [135.]]],


           [[[ 26.],
             [126.]],

            [[ 36.],
             [136.]]]]]]], device='cuda:0')


########## torch.float64/torch.int64/size=()+(6, 6)+(2,) ##########
# sparse tensor
tensor(crow_indices=tensor([0, 2, 4]),
       col_indices=tensor([0, 1, 0, 2]),
       values=tensor([[[[  1., 101.],
                        [ 11., 111.]],

                       [[  2., 102.],
                        [ 12., 112.]],

                       [[  3., 103.],
                        [ 13., 113.]]],


                      [[[  2., 102.],
                        [ 12., 112.]],

                       [[  3., 103.],
                        [ 13., 113.]],

                       [[  4., 104.],
                        [ 14., 114.]]],


                      [[[  3., 103.],
                        [ 13., 113.]],

                       [[  4., 104.],
                        [ 14., 114.]],

                       [[  5., 105.],
                        [ 15., 115.]]],


                      [[[  4., 104.],
                        [ 14., 114.]],

                       [[  5., 105.],
                        [ 15., 115.]],

                       [[  6., 106.],
                        [ 16., 116.]]]]), device='cuda:0', size=(6, 6, 2),
       nnz=4, dtype=torch.float64, layout=torch.sparse_bsr)
# _crow_indices
tensor([0, 2, 4], device='cuda:0')
# _col_indices
tensor([0, 1, 0, 2], device='cuda:0')
# _values
tensor([[[[  1., 101.],
          [ 11., 111.]],

         [[  2., 102.],
          [ 12., 112.]],

         [[  3., 103.],
          [ 13., 113.]]],


        [[[  2., 102.],
          [ 12., 112.]],

         [[  3., 103.],
          [ 13., 113.]],

         [[  4., 104.],
          [ 14., 114.]]],


        [[[  3., 103.],
          [ 13., 113.]],

         [[  4., 104.],
          [ 14., 114.]],

         [[  5., 105.],
          [ 15., 115.]]],


        [[[  4., 104.],
          [ 14., 114.]],

         [[  5., 105.],
          [ 15., 115.]],

         [[  6., 106.],
          [ 16., 116.]]]], device='cuda:0', dtype=torch.float64)

########## torch.float64/torch.int64/size=()+(4, 9)+(4, 2) ##########
# sparse tensor
tensor(crow_indices=tensor([0, 2, 4]),
       col_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]],

                        [[2.1000e+01, 1.0210e+03],
                         [1.2100e+02, 1.1210e+03],
                         [2.2100e+02, 1.2210e+03],
                         [3.2100e+02, 1.3210e+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]],

                        [[2.2000e+01, 1.0220e+03],
                         [1.2200e+02, 1.1220e+03],
                         [2.2200e+02, 1.2220e+03],
                         [3.2200e+02, 1.3220e+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]],

                        [[2.2000e+01, 1.0220e+03],
                         [1.2200e+02, 1.1220e+03],
                         [2.2200e+02, 1.2220e+03],
                         [3.2200e+02, 1.3220e+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]],

                        [[2.3000e+01, 1.0230e+03],
                         [1.2300e+02, 1.1230e+03],
                         [2.2300e+02, 1.2230e+03],
                         [3.2300e+02, 1.3230e+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]],

                        [[2.3000e+01, 1.0230e+03],
                         [1.2300e+02, 1.1230e+03],
                         [2.2300e+02, 1.2230e+03],
                         [3.2300e+02, 1.3230e+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]],

                        [[2.4000e+01, 1.0240e+03],
                         [1.2400e+02, 1.1240e+03],
                         [2.2400e+02, 1.2240e+03],
                         [3.2400e+02, 1.3240e+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]],

                        [[2.4000e+01, 1.0240e+03],
                         [1.2400e+02, 1.1240e+03],
                         [2.2400e+02, 1.2240e+03],
                         [3.2400e+02, 1.3240e+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]],

                        [[2.5000e+01, 1.0250e+03],
                         [1.2500e+02, 1.1250e+03],
                         [2.2500e+02, 1.2250e+03],
                         [3.2500e+02, 1.3250e+03]]]]]), device='cuda:0',
       size=(4, 9, 4, 2), nnz=4, dtype=torch.float64, layout=torch.sparse_bsr)
# _crow_indices
tensor([0, 2, 4], device='cuda:0')
# _col_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]],

          [[2.1000e+01, 1.0210e+03],
           [1.2100e+02, 1.1210e+03],
           [2.2100e+02, 1.2210e+03],
           [3.2100e+02, 1.3210e+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]],

          [[2.2000e+01, 1.0220e+03],
           [1.2200e+02, 1.1220e+03],
           [2.2200e+02, 1.2220e+03],
           [3.2200e+02, 1.3220e+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]],

          [[2.2000e+01, 1.0220e+03],
           [1.2200e+02, 1.1220e+03],
           [2.2200e+02, 1.2220e+03],
           [3.2200e+02, 1.3220e+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]],

          [[2.3000e+01, 1.0230e+03],
           [1.2300e+02, 1.1230e+03],
           [2.2300e+02, 1.2230e+03],
           [3.2300e+02, 1.3230e+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]],

          [[2.3000e+01, 1.0230e+03],
           [1.2300e+02, 1.1230e+03],
           [2.2300e+02, 1.2230e+03],
           [3.2300e+02, 1.3230e+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]],

          [[2.4000e+01, 1.0240e+03],
           [1.2400e+02, 1.1240e+03],
           [2.2400e+02, 1.2240e+03],
           [3.2400e+02, 1.3240e+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]],

          [[2.4000e+01, 1.0240e+03],
           [1.2400e+02, 1.1240e+03],
           [2.2400e+02, 1.2240e+03],
           [3.2400e+02, 1.3240e+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]],

          [[2.5000e+01, 1.0250e+03],
           [1.2500e+02, 1.1250e+03],
           [2.2500e+02, 1.2250e+03],
           [3.2500e+02, 1.3250e+03]]]]], device='cuda:0', dtype=torch.float64)

########## torch.float64/torch.int64/size=(2, 3)+(6, 6)+(2, 1) ##########
# sparse tensor
tensor(crow_indices=tensor([[[0, 2, 4],
                             [0, 3, 4],
                             [0, 1, 4]],

                            [[0, 1, 4],
                             [0, 2, 4],
                             [0, 3, 4]]]),
       col_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.]]],


                         [[[  2.],
                           [102.]],

                          [[ 12.],
                           [112.]]],


                         [[[  3.],
                           [103.]],

                          [[ 13.],
                           [113.]]]],



                        [[[[  2.],
                           [102.]],

                          [[ 12.],
                           [112.]]],


                         [[[  3.],
                           [103.]],

                          [[ 13.],
                           [113.]]],


                         [[[  4.],
                           [104.]],

                          [[ 14.],
                           [114.]]]],



                        [[[[  3.],
                           [103.]],

                          [[ 13.],
                           [113.]]],


                         [[[  4.],
                           [104.]],

                          [[ 14.],
                           [114.]]],


                         [[[  5.],
                           [105.]],

                          [[ 15.],
                           [115.]]]],



                        [[[[  4.],
                           [104.]],

                          [[ 14.],
                           [114.]]],


                         [[[  5.],
                           [105.]],

                          [[ 15.],
                           [115.]]],


                         [[[  6.],
                           [106.]],

                          [[ 16.],
                           [116.]]]]],




                       [[[[[  5.],
                           [105.]],

                          [[ 15.],
                           [115.]]],


                         [[[  6.],
                           [106.]],

                          [[ 16.],
                           [116.]]],


                         [[[  7.],
                           [107.]],

                          [[ 17.],
                           [117.]]]],



                        [[[[  6.],
                           [106.]],

                          [[ 16.],
                           [116.]]],


                         [[[  7.],
                           [107.]],

                          [[ 17.],
                           [117.]]],


                         [[[  8.],
                           [108.]],

                          [[ 18.],
                           [118.]]]],



                        [[[[  7.],
                           [107.]],

                          [[ 17.],
                           [117.]]],


                         [[[  8.],
                           [108.]],

                          [[ 18.],
                           [118.]]],


                         [[[  9.],
                           [109.]],

                          [[ 19.],
                           [119.]]]],



                        [[[[  8.],
                           [108.]],

                          [[ 18.],
                           [118.]]],


                         [[[  9.],
                           [109.]],

                          [[ 19.],
                           [119.]]],


                         [[[ 10.],
                           [110.]],

                          [[ 20.],
                           [120.]]]]],




                       [[[[[  9.],
                           [109.]],

                          [[ 19.],
                           [119.]]],


                         [[[ 10.],
                           [110.]],

                          [[ 20.],
                           [120.]]],


                         [[[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]]]],



                        [[[[ 10.],
                           [110.]],

                          [[ 20.],
                           [120.]]],


                         [[[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]]],


                         [[[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]]]],



                        [[[[ 11.],
                           [111.]],

                          [[ 21.],
                           [121.]]],


                         [[[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]]],


                         [[[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]]]],



                        [[[[ 12.],
                           [112.]],

                          [[ 22.],
                           [122.]]],


                         [[[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]]],


                         [[[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]]]]]],





                      [[[[[[ 13.],
                           [113.]],

                          [[ 23.],
                           [123.]]],


                         [[[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]]],


                         [[[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]]]],



                        [[[[ 14.],
                           [114.]],

                          [[ 24.],
                           [124.]]],


                         [[[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]]],


                         [[[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]]]],



                        [[[[ 15.],
                           [115.]],

                          [[ 25.],
                           [125.]]],


                         [[[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]]],


                         [[[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]]]],



                        [[[[ 16.],
                           [116.]],

                          [[ 26.],
                           [126.]]],


                         [[[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]]],


                         [[[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]]]]],




                       [[[[[ 17.],
                           [117.]],

                          [[ 27.],
                           [127.]]],


                         [[[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]]],


                         [[[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]]]],



                        [[[[ 18.],
                           [118.]],

                          [[ 28.],
                           [128.]]],


                         [[[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]]],


                         [[[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]]]],



                        [[[[ 19.],
                           [119.]],

                          [[ 29.],
                           [129.]]],


                         [[[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]]],


                         [[[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]]]],



                        [[[[ 20.],
                           [120.]],

                          [[ 30.],
                           [130.]]],


                         [[[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]]],


                         [[[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]]]]],




                       [[[[[ 21.],
                           [121.]],

                          [[ 31.],
                           [131.]]],


                         [[[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]]],


                         [[[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]]]],



                        [[[[ 22.],
                           [122.]],

                          [[ 32.],
                           [132.]]],


                         [[[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]]],


                         [[[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]]]],



                        [[[[ 23.],
                           [123.]],

                          [[ 33.],
                           [133.]]],


                         [[[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]]],


                         [[[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]]]],



                        [[[[ 24.],
                           [124.]],

                          [[ 34.],
                           [134.]]],


                         [[[ 25.],
                           [125.]],

                          [[ 35.],
                           [135.]]],


                         [[[ 26.],
                           [126.]],

                          [[ 36.],
                           [136.]]]]]]]), device='cuda:0',
       size=(2, 3, 6, 6, 2, 1), nnz=4, dtype=torch.float64,
       layout=torch.sparse_bsr)
# _crow_indices
tensor([[[0, 2, 4],
         [0, 3, 4],
         [0, 1, 4]],

        [[0, 1, 4],
         [0, 2, 4],
         [0, 3, 4]]], device='cuda:0')
# _col_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.]]],


           [[[  2.],
             [102.]],

            [[ 12.],
             [112.]]],


           [[[  3.],
             [103.]],

            [[ 13.],
             [113.]]]],



          [[[[  2.],
             [102.]],

            [[ 12.],
             [112.]]],


           [[[  3.],
             [103.]],

            [[ 13.],
             [113.]]],


           [[[  4.],
             [104.]],

            [[ 14.],
             [114.]]]],



          [[[[  3.],
             [103.]],

            [[ 13.],
             [113.]]],


           [[[  4.],
             [104.]],

            [[ 14.],
             [114.]]],


           [[[  5.],
             [105.]],

            [[ 15.],
             [115.]]]],



          [[[[  4.],
             [104.]],

            [[ 14.],
             [114.]]],


           [[[  5.],
             [105.]],

            [[ 15.],
             [115.]]],


           [[[  6.],
             [106.]],

            [[ 16.],
             [116.]]]]],




         [[[[[  5.],
             [105.]],

            [[ 15.],
             [115.]]],


           [[[  6.],
             [106.]],

            [[ 16.],
             [116.]]],


           [[[  7.],
             [107.]],

            [[ 17.],
             [117.]]]],



          [[[[  6.],
             [106.]],

            [[ 16.],
             [116.]]],


           [[[  7.],
             [107.]],

            [[ 17.],
             [117.]]],


           [[[  8.],
             [108.]],

            [[ 18.],
             [118.]]]],



          [[[[  7.],
             [107.]],

            [[ 17.],
             [117.]]],


           [[[  8.],
             [108.]],

            [[ 18.],
             [118.]]],


           [[[  9.],
             [109.]],

            [[ 19.],
             [119.]]]],



          [[[[  8.],
             [108.]],

            [[ 18.],
             [118.]]],


           [[[  9.],
             [109.]],

            [[ 19.],
             [119.]]],


           [[[ 10.],
             [110.]],

            [[ 20.],
             [120.]]]]],




         [[[[[  9.],
             [109.]],

            [[ 19.],
             [119.]]],


           [[[ 10.],
             [110.]],

            [[ 20.],
             [120.]]],


           [[[ 11.],
             [111.]],

            [[ 21.],
             [121.]]]],



          [[[[ 10.],
             [110.]],

            [[ 20.],
             [120.]]],


           [[[ 11.],
             [111.]],

            [[ 21.],
             [121.]]],


           [[[ 12.],
             [112.]],

            [[ 22.],
             [122.]]]],



          [[[[ 11.],
             [111.]],

            [[ 21.],
             [121.]]],


           [[[ 12.],
             [112.]],

            [[ 22.],
             [122.]]],


           [[[ 13.],
             [113.]],

            [[ 23.],
             [123.]]]],



          [[[[ 12.],
             [112.]],

            [[ 22.],
             [122.]]],


           [[[ 13.],
             [113.]],

            [[ 23.],
             [123.]]],


           [[[ 14.],
             [114.]],

            [[ 24.],
             [124.]]]]]],





        [[[[[[ 13.],
             [113.]],

            [[ 23.],
             [123.]]],


           [[[ 14.],
             [114.]],

            [[ 24.],
             [124.]]],


           [[[ 15.],
             [115.]],

            [[ 25.],
             [125.]]]],



          [[[[ 14.],
             [114.]],

            [[ 24.],
             [124.]]],


           [[[ 15.],
             [115.]],

            [[ 25.],
             [125.]]],


           [[[ 16.],
             [116.]],

            [[ 26.],
             [126.]]]],



          [[[[ 15.],
             [115.]],

            [[ 25.],
             [125.]]],


           [[[ 16.],
             [116.]],

            [[ 26.],
             [126.]]],


           [[[ 17.],
             [117.]],

            [[ 27.],
             [127.]]]],



          [[[[ 16.],
             [116.]],

            [[ 26.],
             [126.]]],


           [[[ 17.],
             [117.]],

            [[ 27.],
             [127.]]],


           [[[ 18.],
             [118.]],

            [[ 28.],
             [128.]]]]],




         [[[[[ 17.],
             [117.]],

            [[ 27.],
             [127.]]],


           [[[ 18.],
             [118.]],

            [[ 28.],
             [128.]]],


           [[[ 19.],
             [119.]],

            [[ 29.],
             [129.]]]],



          [[[[ 18.],
             [118.]],

            [[ 28.],
             [128.]]],


           [[[ 19.],
             [119.]],

            [[ 29.],
             [129.]]],


           [[[ 20.],
             [120.]],

            [[ 30.],
             [130.]]]],



          [[[[ 19.],
             [119.]],

            [[ 29.],
             [129.]]],


           [[[ 20.],
             [120.]],

            [[ 30.],
             [130.]]],


           [[[ 21.],
             [121.]],

            [[ 31.],
             [131.]]]],



          [[[[ 20.],
             [120.]],

            [[ 30.],
             [130.]]],


           [[[ 21.],
             [121.]],

            [[ 31.],
             [131.]]],


           [[[ 22.],
             [122.]],

            [[ 32.],
             [132.]]]]],




         [[[[[ 21.],
             [121.]],

            [[ 31.],
             [131.]]],


           [[[ 22.],
             [122.]],

            [[ 32.],
             [132.]]],


           [[[ 23.],
             [123.]],

            [[ 33.],
             [133.]]]],



          [[[[ 22.],
             [122.]],

            [[ 32.],
             [132.]]],


           [[[ 23.],
             [123.]],

            [[ 33.],
             [133.]]],


           [[[ 24.],
             [124.]],

            [[ 34.],
             [134.]]]],



          [[[[ 23.],
             [123.]],

            [[ 33.],
             [133.]]],


           [[[ 24.],
             [124.]],

            [[ 34.],
             [134.]]],


           [[[ 25.],
             [125.]],

            [[ 35.],
             [135.]]]],



          [[[[ 24.],
             [124.]],

            [[ 34.],
             [134.]]],


           [[[ 25.],
             [125.]],

            [[ 35.],
             [135.]]],


           [[[ 26.],
             [126.]],

            [[ 36.],
             [136.]]]]]]], device='cuda:0', dtype=torch.float64)