## Coverage Report

#### Created: 2026-04-03 17:51

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

    /home/liu/actions-runner/_work/ccv/ccv/lib/nnc/cmd/upsample/ccv_nnc_upsample.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_internal.h"
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    #include "nnc/ccv_nnc_easy.h"
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    6
    static void _ccv_nnc_upsample_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)
    7
    12
    {
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    12
      assert(input_size == 1);
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    12
      assert(output_size == 1);
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    12
      outputs[0] = inputs[0];
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    12
      const int nd = ccv_nnc_tensor_nd(inputs[0].dim);
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    12
      if (nd == 2)
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    0
      {
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    0
        outputs[0].dim[0] = (int)(inputs[0].dim[0] * cmd.upsample.height_scale + 0.5);
    15
    0
        outputs[0].dim[1] = (int)(inputs[0].dim[1] * cmd.upsample.width_scale + 0.5);
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    12
      } else if (nd == 3) {
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    0
        if (inputs[0].format == CCV_TENSOR_FORMAT_NCHW || inputs[0].format == CCV_TENSOR_FORMAT_CHWN)
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    0
        {
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    0
          outputs[0].dim[nd - 2] = (int)(inputs[0].dim[nd - 2] * cmd.upsample.height_scale + 0.5);
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    0
          outputs[0].dim[nd - 1] = (int)(inputs[0].dim[nd - 1] * cmd.upsample.width_scale + 0.5);
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    0
        } else {
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    0
          outputs[0].dim[0] = (int)(inputs[0].dim[0] * cmd.upsample.height_scale + 0.5);
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    0
          outputs[0].dim[1] = (int)(inputs[0].dim[1] * cmd.upsample.width_scale + 0.5);
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    0
        }
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    12
      } else if (nd == 4) {
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    12
        if (inputs[0].format == CCV_TENSOR_FORMAT_NCHW)
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    12
        {
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    12
          outputs[0].dim[nd - 2] = (int)(inputs[0].dim[nd - 2] * cmd.upsample.height_scale + 0.5);
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    12
          outputs[0].dim[nd - 1] = (int)(inputs[0].dim[nd - 1] * cmd.upsample.width_scale + 0.5);
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    12
        } else {
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    0
          outputs[0].dim[nd - 3] = (int)(inputs[0].dim[nd - 3] * cmd.upsample.height_scale + 0.5);
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    0
          outputs[0].dim[nd - 2] = (int)(inputs[0].dim[nd - 2] * cmd.upsample.width_scale + 0.5);
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    0
        }
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    12
      }
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    12
    }
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    static int _ccv_nnc_upsample_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)
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    3
    {
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    3
      if (input_bitmasks[0] == 1u && output_bitmasks[0] == 1u)
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    3
        return 1;
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    0
      return 0;
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    3
    }
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    static int _ccv_nnc_upsample_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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    0
    {
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      // Output the propagated error.
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    0
      if ((input_bitmasks[0] & 1u) == 1u && 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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    52
    REGISTER_COMMAND(CCV_NNC_UPSAMPLE_FORWARD)(ccv_nnc_cmd_registry_t* const registry)
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      FIND_BACKEND(ccv_nnc_upsample_cpu_ref.c, gpu/ccv_nnc_upsample_gpu_ref.cu, mps/ccv_nnc_upsample_mps.m)
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    1
    {
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    1
      registry->bitmask = _ccv_nnc_upsample_forw_bitmask;
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    1
      registry->tensor_auto = _ccv_nnc_upsample_tensor_auto_forw;
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    1
    }
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    REGISTER_COMMAND(CCV_NNC_UPSAMPLE_BACKWARD)(ccv_nnc_cmd_registry_t* const registry)
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      FIND_BACKEND(ccv_nnc_upsample_cpu_ref.c, gpu/ccv_nnc_upsample_gpu_ref.cu, mps/ccv_nnc_upsample_mps.m)
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    1
    {
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    1
      registry->bitmask = _ccv_nnc_upsample_back_bitmask;
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    1
      registry->tensor_auto = ccv_nnc_hint_tensor_auto_backward_from_gradient;
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    1
    }
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    //@REGISTER_EASY_COMMAND_MACRO(CCV_NNC_UPSAMPLE_FORWARD)
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    #define CMD_UPSAMPLE_FORWARD(_type, _width_scale, _height_scale, _align_corners) ccv_nnc_cmd(CCV_NNC_UPSAMPLE_FORWARD, 0, ((ccv_nnc_cmd_param_t){.size={.dim={1,1,1}},.upsample={.type=_type,.width_scale=_width_scale,.height_scale=_height_scale,.align_corners=_align_corners}}), 0)
    68
    //@REGISTER_EASY_COMMAND_MACRO(CCV_NNC_UPSAMPLE_BACKWARD)
    69
    #define CMD_UPSAMPLE_BACKWARD(_type, _width_scale, _height_scale, _align_corners) ccv_nnc_cmd(CCV_NNC_UPSAMPLE_BACKWARD, 0, ((ccv_nnc_cmd_param_t){.size={.dim={1,1,1}},.upsample={.type=_type,.width_scale=_width_scale,.height_scale=_height_scale,.align_corners=_align_corners}}), 0)