## Coverage Report

#### Created: 2026-04-14 20:00

next uncovered line (L), next uncovered region (R), next uncovered branch (B)

    /home/liu/actions-runner/_work/ccv/ccv/lib/nnc/cmd/pool/ccv_nnc_avg_pool_cpu_ref.c

    Line
    Count
    Source
    1
    #include "ccv.h"
    2
    #include "ccv_internal.h"
    3
    #include "nnc/ccv_nnc.h"
    4
    #include "nnc/ccv_nnc_easy.h"
    5
    #include "nnc/ccv_nnc_internal.h"
    6
    #ifdef USE_OPENMP
    7
    #include <omp.h>
    8
    #endif
    9
    #ifdef USE_DISPATCH
    10
    #include <dispatch/dispatch.h>
    11
    #endif
    12
    13
    static int _ccv_nnc_avg_pool_forw(const ccv_nnc_cmd_t cmd, const ccv_nnc_hint_t hint, const int flags, ccv_nnc_tensor_t* const* const inputs, const int input_size, ccv_nnc_tensor_t* const* const outputs, const int output_size, ccv_nnc_stream_context_t* const stream_context)
    14
    631
    {
    15
    631
      assert(input_size == 1);
    16
    631
      const ccv_nnc_tensor_view_t* a = (ccv_nnc_tensor_view_t*)inputs[0];
    17
    631
      assert(output_size == 1);
    18
    631
      ccv_nnc_tensor_view_t* b = (ccv_nnc_tensor_view_t*)outputs[0];
    19
    631
      const int *dim = cmd.info.size.dim;
    20
    631
      int i[CCV_NNC_MAX_DIM];
    21
    631
      int n[CCV_NNC_MAX_DIM];
    22
    631
      int m[CCV_NNC_MAX_DIM];
    23
    631
      int j[CCV_NNC_MAX_DIM];
    24
    631
      int c;
    25
    631
      const int a_nd = ccv_nnc_tensor_nd(a->info.dim);
    26
    631
      assert(a_nd == CCV_NNC_MAX_DIM + 1 || a_nd == CCV_NNC_MAX_DIM + 2);
    27
    631
      const int* adim = (a_nd == CCV_NNC_MAX_DIM + 1) ? a->info.dim16 : a->info.dim + 1615;
    28
    631
      const int b_nd = ccv_nnc_tensor_nd(b->info.dim);
    29
    631
      assert(b_nd == CCV_NNC_MAX_DIM + 1 || b_nd == CCV_NNC_MAX_DIM + 2);
    30
    631
      const int* bdim = (b_nd == CCV_NNC_MAX_DIM + 1) ? b->info.dim17 : b->info.dim + 1614;
    31
    631
      float* ap = a->data.f32;
    32
    631
      int astride[CCV_NNC_MAX_DIM_ALLOC];
    33
    631
      ccv_nnc_tensor_view_get_stride(a, astride);
    34
    631
      float* bp = b->data.f32;
    35
    631
      int bstride[CCV_NNC_MAX_DIM_ALLOC];
    36
    631
      ccv_nnc_tensor_view_get_stride(b, bstride);
    37
    3.83k
      for (i[0] = 0; i[0] < bdim[0]; i[0]++3.20k)
    38
    3.20k
      {
    39
    3.20k
        SET_BORDER_OFFSET_SIZE_FOR(0, i, hint, dim, adim, n, m);
    40
    23.1k
        for (i[1] = 0; i[1] < bdim[1]; i[1]++19.9k)
    41
    19.9k
        {
    42
    19.9k
          SET_BORDER_OFFSET_SIZE_FOR(1, i, hint, dim, adim, n, m);
    43
    681k
          for (c = 0; c < bdim[CCV_NNC_MAX_DIM]; c++661k)
    44
    661k
          {
    45
    661k
            float* apz = ap + ccv_max(i[1] * hint.stride.dim[1] - hint.border.begin[1], 0) * astride[CCV_NNC_MAX_DIM] + c;
    46
    661k
            float v = 0;
    47
    2.64M
            for (j[0] = 0; j[0] < m[0]; j[0]++1.98M)
    48
    1.98M
            {
    49
    7.93M
              for (j[1] = 0; j[1] < m[1]; j[1]++5.94M)
    50
    5.94M
                v += apz[j[1] * astride[CCV_NNC_MAX_DIM]];
    51
    1.98M
              apz += astride[CCV_NNC_MAX_DIM - 1];
    52
    1.98M
            }
    53
    661k
            bp[i[1] * bstride[CCV_NNC_MAX_DIM] + c] = v / (m[0] * m[1]);
    54
    661k
          }
    55
    19.9k
        }
    56
    3.20k
        bp += bstride[CCV_NNC_MAX_DIM - 1];
    57
    3.20k
        ap += astride[CCV_NNC_MAX_DIM - 1] * (ccv_max((i[0] + 1) * hint.stride.dim[0] - hint.border.begin[0], 0) - ccv_max(i[0] * hint.stride.dim[0] - hint.border.begin[0], 0));
    58
    3.20k
      }
    59
    631
      return CCV_NNC_EXEC_SUCCESS;
    60
    631
    }
    61
    62
    static int _ccv_nnc_avg_pool_back(const ccv_nnc_cmd_t cmd, const ccv_nnc_hint_t hint, const int flags, ccv_nnc_tensor_t* const* const inputs, const int input_size, ccv_nnc_tensor_t* const* const outputs, const int output_size, ccv_nnc_stream_context_t* const stream_context)
    63
    738
    {
    64
    738
      assert(input_size >= 1);
    65
    738
      const ccv_nnc_tensor_view_t* g = (ccv_nnc_tensor_view_t*)inputs[0];
    66
    738
      assert(output_size == 1);
    67
    738
      ccv_nnc_tensor_view_t* h = (ccv_nnc_tensor_view_t*)outputs[0];
    68
    738
      const int *dim = cmd.info.size.dim;
    69
    738
      int i[CCV_NNC_MAX_DIM];
    70
    738
      int n[CCV_NNC_MAX_DIM];
    71
    738
      int m[CCV_NNC_MAX_DIM];
    72
    738
      int j[CCV_NNC_MAX_DIM];
    73
    738
      int c;
    74
    738
      const int g_nd = ccv_nnc_tensor_nd(g->info.dim);
    75
    738
      assert(g_nd == CCV_NNC_MAX_DIM + 1 || g_nd == CCV_NNC_MAX_DIM + 2);
    76
    738
      const int* gdim = (g_nd == CCV_NNC_MAX_DIM + 1) ? g->info.dim4 : g->info.dim + 1734;
    77
    738
      const int h_nd = ccv_nnc_tensor_nd(h->info.dim);
    78
    738
      assert(h_nd == CCV_NNC_MAX_DIM + 1 || h_nd == CCV_NNC_MAX_DIM + 2);
    79
    738
      const int* hdim = (h_nd == CCV_NNC_MAX_DIM + 1) ? h->info.dim4 : h->info.dim + 1734;
    80
    738
      float* gp = g->data.f32;
    81
    738
      int gstride[CCV_NNC_MAX_DIM_ALLOC];
    82
    738
      ccv_nnc_tensor_view_get_stride(g, gstride);
    83
    738
      float* hp = h->data.f32;
    84
    738
      int hstride[CCV_NNC_MAX_DIM_ALLOC];
    85
    738
      ccv_nnc_tensor_view_get_stride(h, hstride);
    86
    738
      ccv_nnc_tensor_zero(h);
    87
    4.42k
      for (i[0] = 0; i[0] < gdim[0]; i[0]++3.68k)
    88
    3.68k
      {
    89
    3.68k
        SET_BORDER_OFFSET_SIZE_FOR(0, i, hint, dim, hdim, n, m);
    90
    25.0k
        for (i[1] = 0; i[1] < gdim[1]; i[1]++21.3k)
    91
    21.3k
        {
    92
    21.3k
          SET_BORDER_OFFSET_SIZE_FOR(1, i, hint, dim, hdim, n, m);
    93
    808k
          for (c = 0; c < gdim[CCV_NNC_MAX_DIM]; c++787k)
    94
    787k
          {
    95
    787k
            float* hpz = hp + ccv_max(i[1] * hint.stride.dim[1] - hint.border.begin[1], 0) * hstride[CCV_NNC_MAX_DIM] + c;
    96
    787k
            float u = gp[i[1] * gstride[CCV_NNC_MAX_DIM] + c] / (m[0] * m[1]);
    97
    3.14M
            for (j[0] = 0; j[0] < m[0]; j[0]++2.36M)
    98
    2.36M
            {
    99
    9.44M
              for (j[1] = 0; j[1] < m[1]; j[1]++7.08M)
    100
    7.08M
                hpz[j[1] * hstride[CCV_NNC_MAX_DIM]] += u;
    101
    2.36M
              hpz += hstride[CCV_NNC_MAX_DIM - 1];
    102
    2.36M
            }
    103
    787k
          }
    104
    21.3k
        }
    105
    3.68k
        gp += gstride[CCV_NNC_MAX_DIM - 1];
    106
    3.68k
        hp += hstride[CCV_NNC_MAX_DIM - 1] * (ccv_max((i[0] + 1) * hint.stride.dim[0] - hint.border.begin[0], 0) - ccv_max(i[0] * hint.stride.dim[0] - hint.border.begin[0], 0));
    107
    3.68k
      }
    108
    738
      return CCV_NNC_EXEC_SUCCESS;
    109
    738
    }
    110
    111
    REGISTER_COMMAND_BACKEND(CCV_NNC_AVERAGE_POOL_FORWARD, CCV_NNC_BACKEND_CPU_REF)(ccv_nnc_cmd_backend_registry_t* const registry)
    112
    1
    {
    113
    1
      registry->tensor_formats = CCV_TENSOR_FORMAT_NHWC;
    114
    1
      registry->tensor_datatypes = CCV_32F;
    115
    1
      registry->tensor_memory = CCV_TENSOR_CPU_MEMORY;
    116
    1
      registry->algorithms = 1;
    117
    1
      registry->exec = _ccv_nnc_avg_pool_forw;
    118
    1
    }
    119
    120
    REGISTER_COMMAND_BACKEND(CCV_NNC_AVERAGE_POOL_BACKWARD, CCV_NNC_BACKEND_CPU_REF)(ccv_nnc_cmd_backend_registry_t* const registry)
    121
    1
    {
    122
    1
      registry->tensor_formats = CCV_TENSOR_FORMAT_NHWC;
    123
    1
      registry->tensor_datatypes = CCV_32F;
    124
    1
      registry->tensor_memory = CCV_TENSOR_CPU_MEMORY;
    125
    1
      registry->algorithms = 1;
    126
    1
      registry->exec = _ccv_nnc_avg_pool_back;
    127
    1
    }