## 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/relu/ccv_nnc_relu_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_relu_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
    1.26k
    {
    15
    1.26k
      assert(input_size == 1);
    16
    1.26k
      const ccv_nnc_tensor_t* a = inputs[0];
    17
    1.26k
      assert(CCV_IS_TENSOR_CONTIGUOUS(a));
    18
    1.26k
      assert(output_size == 1);
    19
    1.26k
      ccv_nnc_tensor_t* b = outputs[0];
    20
    1.26k
      assert(CCV_IS_TENSOR_CONTIGUOUS(b));
    21
    1.26k
      int i, count = ccv_nnc_tensor_count(a->info);
    22
    5.65k
      for (i = 0; i < CCV_NNC_MAX_DIM_ALLOC && a->info.dim[i] > 0; i++4.39k)
    23
    4.39k
      {
    24
    4.39k
        assert(a->info.dim[i] == b->info.dim[i]);
    25
    4.39k
      }
    26
    1.26k
      float* ap = a->data.f32;
    27
    1.26k
      float* bp = b->data.f32;
    28
    39.1M
      for (i = 0; i < count; i++39.1M)
    29
    39.1M
        bp[i] = ccv_max(ap[i], 0);
    30
    1.26k
      return CCV_NNC_EXEC_SUCCESS;
    31
    1.26k
    }
    32
    33
    static int _ccv_nnc_relu_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)
    34
    1.47k
    {
    35
    1.47k
      assert(input_size == 3);
    36
    1.47k
      const ccv_nnc_tensor_t* g = inputs[0]; // gradient
    37
    1.47k
      assert(CCV_IS_TENSOR_CONTIGUOUS(g));
    38
    1.47k
      const ccv_nnc_tensor_t* b = inputs[2];
    39
    1.47k
      assert(CCV_IS_TENSOR_CONTIGUOUS(b));
    40
    1.47k
      assert(output_size == 1);
    41
    1.47k
      ccv_nnc_tensor_t* h = outputs[0];
    42
    1.47k
      assert(CCV_IS_TENSOR_CONTIGUOUS(h));
    43
    1.47k
      int i, count = ccv_nnc_tensor_count(g->info);
    44
    6.61k
      for (i = 0; i < CCV_NNC_MAX_DIM_ALLOC && g->info.dim[i] > 0; i++5.14k)
    45
    5.14k
      {
    46
    5.14k
        assert(b->info.dim[i] == g->info.dim[i]);
    47
    5.14k
        assert(g->info.dim[i] == h->info.dim[i]);
    48
    5.14k
      }
    49
    1.47k
      float* bp = b->data.f32;
    50
    1.47k
      float* gp = g->data.f32;
    51
    1.47k
      float* hp = h->data.f32;
    52
    15.1M
      for (i = 0; i < count; i++15.1M)
    53
    15.1M
        hp[i] = (bp[i] > 0) ? gp[i]7.26M : 07.92M;
    54
    1.47k
      return CCV_NNC_EXEC_SUCCESS;
    55
    1.47k
    }
    56
    57
    REGISTER_COMMAND_BACKEND(CCV_NNC_RELU_FORWARD, CCV_NNC_BACKEND_CPU_REF)(ccv_nnc_cmd_backend_registry_t* const registry)
    58
    1
    {
    59
    1
      registry->tensor_formats = CCV_TENSOR_FORMAT_NHWC | CCV_TENSOR_FORMAT_NCHW | CCV_TENSOR_FORMAT_CHWN;
    60
    1
      registry->tensor_datatypes = CCV_32F;
    61
    1
      registry->tensor_memory = CCV_TENSOR_CPU_MEMORY;
    62
    1
      registry->algorithms = 1;
    63
    1
      registry->exec = _ccv_nnc_relu_forw;
    64
    1
    }
    65
    66
    REGISTER_COMMAND_BACKEND(CCV_NNC_RELU_BACKWARD, CCV_NNC_BACKEND_CPU_REF)(ccv_nnc_cmd_backend_registry_t* const registry)
    67
    1
    {
    68
    1
      registry->tensor_formats = CCV_TENSOR_FORMAT_NHWC | CCV_TENSOR_FORMAT_NCHW | CCV_TENSOR_FORMAT_CHWN;
    69
    1
      registry->tensor_datatypes = CCV_32F;
    70
    1
      registry->tensor_memory = CCV_TENSOR_CPU_MEMORY;
    71
    1
      registry->algorithms = 1;
    72
    1
      registry->exec = _ccv_nnc_relu_back;
    73
    1
    }