benchmark_summary_39850.txt

gpu: 128 / 128
27 samples were culled, 1893 remain
========================================
== GPU =================================
========================================

Improved  (>5%):     462  ( 24%)
Regressed (>5%):     266  ( 14%)
Within 5%:          1165  ( 62%)

Relative Δ     Absolute Δ      |      numel        dtype              shape          steps          layout       task specific
==============================================================================================================================
  -98%         82295.6 us      |     5984792      float32           [5984792]                                    dim=0, k=2
  -98%        100001.1 us      |     5984792      float64           [5984792]                                    dim=0, k=2
  -98%         46101.1 us      |     2665388      float64           [2665388]                                    dim=0, k=32
  -98%         84188.3 us      |     6042452      float32           [6042452]                                    dim=0, k=47
  -97%         80714.1 us      |     4681360      float64           [4681360]                                    dim=0, k=1
  -97%        104044.8 us      |     6042452      float64           [6042452]                                    dim=0, k=47
  -97%         73750.6 us      |     3770492      float64           [3770492]                                    dim=0, k=37
  -97%         56073.5 us      |     4681360      float32           [4681360]                                    dim=0, k=1
  -97%         30142.0 us      |     2665388      float32           [2665388]                                    dim=0, k=32
  -97%         38740.5 us      |    10404992         int8          [10404992]                                    dim=0, k=115
...
   -0%             2.5 us      |     2677090      float64        [26, 102965]        [2, 1]         [1 0]        dim=0, k=21
   -0%             2.9 us      |     5983808      float64         [93497, 64]                                    dim=1, k=11
   -0%             5.5 us      |     7906900      float64         [8548, 925]                                    dim=1, k=445
   -0%             0.9 us      |     2041569      float64        [11939, 171]                                    dim=1, k=9
   -0%            22.0 us      |    29843370      float32       [1605, 18594]                                    dim=0, k=467
   -0%             1.3 us      |     5570560      float32     [170, 128, 256]                                    dim=2, k=1
   -0%             2.3 us      |     2047760      float64      [1969, 16, 65]                                    dim=1, k=6
   -0%             2.0 us      |     3441152      float32      [44, 52, 1504]                                    dim=1, k=2
   -0%             2.1 us      |     2463691      float32      [17, 23, 6301]                     [2 0 1]        dim=0, k=7
   -0%             0.4 us      |     6607360         int8        [512, 12905]                                    dim=1, k=5
...
  132%         64024.3 us      |    20747019      float32        [309657, 67]        [1, 8]                      dim=0, k=78611
  138%          7207.1 us      |    10943150         int8        [188675, 58]                       [1 0]        dim=0, k=12041
  179%          8825.3 us      |    10850284         int8        [17, 638252]                                    dim=1, k=57055
  185%          8181.9 us      |    11534336         int8        [22, 524288]        [1, 8]                      dim=1, k=20187
  204%          4163.6 us      |     6291456         int8        [24, 262144]                                    dim=1, k=17032
  236%         74717.7 us      |    11788920      float64        [181368, 65]                       [1 0]        dim=0, k=50492
  254%         38994.6 us      |    20747019         int8        [309657, 67]        [1, 8]                      dim=0, k=78611
  263%         70268.1 us      |    11788920      float32        [181368, 65]                       [1 0]        dim=0, k=50492
  274%         22039.7 us      |    30076416         int8        [469944, 64]        [4, 1]                      dim=0, k=11182
  471%         42955.7 us      |    11788920         int8        [181368, 65]                       [1 0]        dim=0, k=50492

steps:
    Indicates that `x` is sliced from a larger Tensor. For instance, if
    shape is [12, 4] and steps are [2, 1], then a larger Tensor of size
    [24, 4] was created, and then x = base_tensor[::2, ::1]. Omitted if
    all elements are ones.

layout:
    Indicates that `x` is not contiguous due to permutation. Invoking
    `x.permute(steps)` (e.g. x.permute((2, 0, 1)) if steps = [2, 0, 1])
    would produce a Tensor whose shape matches memory order. (Though still
    not contiguous if `steps` contains non-one elements.)