## Coverage Report

#### Created: 2026-05-04 15:30

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

    /home/liu/actions-runner/_work/ccv/ccv/lib/nnc/cmd/loss/ccv_nnc_categorical_crossentropy.c

    Line
    Count
    Source
    1
    #include "ccv.h"
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    #include "nnc/ccv_nnc.h"
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    #include "nnc/ccv_nnc_easy.h"
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    #include "nnc/ccv_nnc_internal.h"
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    6
    static int _ccv_nnc_categorical_crossentropy_forw_bitmask(const ccv_nnc_cmd_param_t cmd, const int input_size, const int output_size, const uint64_t* const input_bitmasks, const int input_bitmask_size, const uint64_t* const output_bitmasks, const int output_bitmask_size)
    7
    0
    {
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    0
      if ((input_bitmasks[0] & 3u) == 3u && output_bitmasks[0] == 1u)
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    0
        return 1;
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    0
      return 0;
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    0
    }
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    13
    static int _ccv_nnc_categorical_crossentropy_back_bitmask(const ccv_nnc_cmd_param_t cmd, const int input_size, const int output_size, const uint64_t* const input_bitmasks, const int input_bitmask_size, const uint64_t* const output_bitmasks, const int output_bitmask_size)
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    32
    {
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    32
      if ((input_bitmasks[0] & 7u) == 7u && (output_bitmasks[0] & 1u) == 1u13)
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    13
        return 1;
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    19
      return 0;
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    32
    }
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    static void _ccv_nnc_categorical_crossentropy_tensor_auto_forw(const ccv_nnc_cmd_param_t cmd, const ccv_nnc_tensor_param_t* const inputs, const int input_size, const ccv_nnc_hint_t hint, ccv_nnc_tensor_param_t* const outputs, const int output_size)
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    18
    {
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      assert(input_size == 2);
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      assert(output_size == 1);
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      outputs[0] = inputs[0];
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      // The output should have the same dimentionality of the label data.
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    18
      memcpy(outputs[0].dim, inputs[1].dim, sizeof(outputs[0].dim));
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    18
      const int nd = ccv_nnc_tensor_nd(outputs[0].dim);
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      // Set channel to 1 if it is not..
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      if (nd > 1 && ccv_nnc_tensor_get_c(outputs[0]) > 113)
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    9
        ccv_nnc_tensor_set_c(&outputs[0], nd, 1);
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    18
    }
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    33
    static void _ccv_nnc_categorical_crossentropy_tensor_auto_back(const ccv_nnc_cmd_param_t cmd, const ccv_nnc_tensor_param_t* const inputs, const int input_size, const ccv_nnc_hint_t hint, ccv_nnc_tensor_param_t* const outputs, const int output_size)
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    5
    {
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    5
      assert(input_size >= 2);
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    5
      assert(output_size >= 1);
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    5
      outputs[0] = inputs[1];
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    5
      if (output_size > 1)
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    5
        outputs[1] = inputs[2];
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    5
    }
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    REGISTER_COMMAND(CCV_NNC_CATEGORICAL_CROSSENTROPY_FORWARD)(ccv_nnc_cmd_registry_t* const registry)
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      FIND_BACKEND(ccv_nnc_categorical_crossentropy_cpu_ref.c, gpu/ccv_nnc_categorical_crossentropy_gpu_ref.cu)
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    1
    {
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    1
      registry->bitmask = _ccv_nnc_categorical_crossentropy_forw_bitmask;
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    1
      registry->tensor_auto = _ccv_nnc_categorical_crossentropy_tensor_auto_forw;
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    1
    }
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    REGISTER_COMMAND(CCV_NNC_CATEGORICAL_CROSSENTROPY_BACKWARD)(ccv_nnc_cmd_registry_t* const registry)
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      FIND_BACKEND(ccv_nnc_categorical_crossentropy_cpu_ref.c, gpu/ccv_nnc_categorical_crossentropy_gpu_ref.cu)
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    1
    {
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    1
      registry->flags = CCV_NNC_CMD_ATTR_NULL_IS_ONES;
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    1
      registry->bitmask = _ccv_nnc_categorical_crossentropy_back_bitmask;
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    1
      registry->tensor_auto = _ccv_nnc_categorical_crossentropy_tensor_auto_back;
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    1
    }
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    //@REGISTER_EASY_COMMAND_MACRO(CCV_NNC_CATEGORICAL_CROSSENTROPY_FORWARD)
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    #define CMD_CATEGORICAL_CROSSENTROPY_FORWARD_X_0() ccv_nnc_cmd(CCV_NNC_CATEGORICAL_CROSSENTROPY_FORWARD, 0, ((ccv_nnc_cmd_param_t){.size={.dim={1,1,1}},.label_smoothing={.trim0=0,.trim1=1}}), 0)
    59
    #define CMD_CATEGORICAL_CROSSENTROPY_FORWARD_X_F(...) ("This should not be used, you should have either 0 parameter or 2 parameters for CMD_CATEGORICAL_CROSSENTROPY_FORWARD")
    60
    #define CMD_CATEGORICAL_CROSSENTROPY_FORWARD_X_2(_trim0, _trim1) ccv_nnc_cmd(CCV_NNC_CATEGORICAL_CROSSENTROPY_FORWARD, 0, ((ccv_nnc_cmd_param_t){.size={.dim={1,1,1}},.label_smoothing={.trim0=_trim0,.trim1=_trim1}}), 0)
    61
    #define CMD_CATEGORICAL_CROSSENTROPY_FORWARD_X_SEL(_0, _1, _2, _FX, ...) _FX
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    #define CMD_CATEGORICAL_CROSSENTROPY_FORWARD(...) CMD_CATEGORICAL_CROSSENTROPY_FORWARD_X_SEL(CMD_CATEGORICAL_CROSSENTROPY_FORWARD_X_F, ##__VA_ARGS__, CMD_CATEGORICAL_CROSSENTROPY_FORWARD_X_2, CMD_CATEGORICAL_CROSSENTROPY_FORWARD_X_F, CMD_CATEGORICAL_CROSSENTROPY_FORWARD_X_0)(__VA_ARGS__)
    63
    //@REGISTER_EASY_COMMAND_MACRO(CCV_NNC_CATEGORICAL_CROSSENTROPY_BACKWARD)
    64
    #define CMD_CATEGORICAL_CROSSENTROPY_BACKWARD_X_0() ccv_nnc_cmd(CCV_NNC_CATEGORICAL_CROSSENTROPY_BACKWARD, 0, ((ccv_nnc_cmd_param_t){.size={.dim={1,1,1}},.label_smoothing={.trim0=0,.trim1=1}}), 0)
    65
    #define CMD_CATEGORICAL_CROSSENTROPY_BACKWARD_X_F(...) ("This should not be used, you should have either 0 parameter or 2 parameters for CMD_CATEGORICAL_CROSSENTROPY_BACKWARD")
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    #define CMD_CATEGORICAL_CROSSENTROPY_BACKWARD_X_2(_trim0, _trim1) ccv_nnc_cmd(CCV_NNC_CATEGORICAL_CROSSENTROPY_BACKWARD, 0, ((ccv_nnc_cmd_param_t){.size={.dim={1,1,1}},.label_smoothing={.trim0=_trim0,.trim1=_trim1}}), 0)
    67
    #define CMD_CATEGORICAL_CROSSENTROPY_BACKWARD_X_SEL(_0, _1, _2, _FX, ...) _FX
    68
    #define CMD_CATEGORICAL_CROSSENTROPY_BACKWARD(...) CMD_CATEGORICAL_CROSSENTROPY_BACKWARD_X_SEL(CMD_CATEGORICAL_CROSSENTROPY_BACKWARD_X_F, ##__VA_ARGS__, CMD_CATEGORICAL_CROSSENTROPY_BACKWARD_X_2, CMD_CATEGORICAL_CROSSENTROPY_BACKWARD_X_F, CMD_CATEGORICAL_CROSSENTROPY_BACKWARD_X_0)(__VA_ARGS__)