user: 下面的汇编指令对应的C源代码是什么:

```asm
<neuralops_caffe_im2col>:
  endbr64
  push   %r15
  push   %r14
  push   %r13
  push   %r12
  push   %rbp
  push   %rbx
  mov    %rdi,%r15
  mov    %edx,%ebp
  mov    %ecx,%r12d
  mov    %r8d,-0x18(%rsp)
  mov    %r9d,-0x30(%rsp)
  mov    0x50(%rsp),%r14d
  mov    0x68(%rsp),%rcx
  mov    0x38(%rsp),%eax
  lea    (%rdx,%rax,2),%eax
  lea    -0x1(%r8),%edx
  imul   0x58(%rsp),%edx
  add    $0x1,%edx
  sub    %edx,%eax
  cltd
  idivl  0x48(%rsp)
  add    $0x1,%eax
  mov    %eax,-0x2c(%rsp)
  mov    0x40(%rsp),%eax
  lea    (%r12,%rax,2),%eax
  lea    -0x1(%r9),%edx
  imul   0x60(%rsp),%edx
  add    $0x1,%edx
  sub    %edx,%eax
  cltd
  idiv   %r14d
  mov    %eax,%edi
  lea    0x1(%rax),%r13d
  mov    %ebp,%eax
  imul   %r12d,%eax
  lea    -0x1(%rsi),%ebx
  mov    %ebx,-0x14(%rsp)
  test   %esi,%esi
  je     L71
  cltq
  shl    $0x2,%rax
  mov    %rax,-0x10(%rsp)
  mov    %r12d,%eax
  imul   0x58(%rsp),%eax
  mov    %eax,-0x8(%rsp)
  mov    %r12d,%eax
  imul   0x38(%rsp),%eax
  neg    %eax
  mov    %eax,-0x4(%rsp)
  mov    %r12d,%eax
  imul   0x48(%rsp),%eax
  mov    %eax,-0x38(%rsp)
  mov    %edi,%eax
  lea    0x4(,%rax,4),%rbx
  mov    %rbx,-0x48(%rsp)
  lea    0x8(,%rax,4),%rax
  mov    %rax,-0x40(%rsp)
  pxor   %xmm1,%xmm1
  jmp    L171
L89:
  test   %r13d,%r13d
  je     L50
  mov    -0x48(%rsp),%rax
  add    %rcx,%rax
L143:
  add    $0x4,%rcx
  movl   $0x0,-0x4(%rcx)
  cmp    %rcx,%rax
  jne    L143
  mov    %rax,%rcx
L50:
  add    0x48(%rsp),%r9d
  add    -0x38(%rsp),%r8d
  sub    $0x1,%r10d
  je     L100
L62:
  test   %r9d,%r9d
  js     L89
  cmp    %r9d,%ebp
  jle    L89
  test   %r13d,%r13d
  je     L50
  lea    0x4(%rcx),%rdx
  mov    -0x40(%rsp),%rax
  lea    (%rcx,%rax,1),%rdi
  mov    %r11d,%eax
  jmp    L67
L202:
  lea    (%rax,%r8,1),%esi
  movslq %esi,%rsi
  movss  (%r15,%rsi,4),%xmm0
L149:
  movss  %xmm0,-0x4(%rdx)
  add    %r14d,%eax
  add    $0x4,%rdx
  cmp    %rdx,%rdi
  je     L93
L67:
  test   %eax,%eax
  js     L130
  cmp    %eax,%r12d
  jg     L202
L130:
  movaps %xmm1,%xmm0
  jmp    L149
L93:
  add    -0x48(%rsp),%rcx
  jmp    L50
L100:
  add    $0x1,%ebx
  mov    0x60(%rsp),%edi
  add    %edi,-0x34(%rsp)
  cmp    %ebx,-0x30(%rsp)
  je     L87
L59:
  mov    -0x2c(%rsp),%r10d
  test   %r10d,%r10d
  je     L100
  mov    -0x34(%rsp),%r11d
  mov    -0x28(%rsp),%r8d
  mov    -0x24(%rsp),%r9d
  jmp    L62
L87:
  addl   $0x1,-0x20(%rsp)
  mov    -0x20(%rsp),%eax
  mov    0x58(%rsp),%edi
  add    %edi,-0x1c(%rsp)
  mov    -0x8(%rsp),%edi
  add    %edi,-0x28(%rsp)
  cmp    %eax,-0x18(%rsp)
  je     L161
L26:
  mov    -0x1c(%rsp),%eax
  mov    %eax,-0x24(%rsp)
  mov    0x40(%rsp),%eax
  neg    %eax
  mov    %eax,-0x34(%rsp)
  mov    $0x0,%ebx
  cmpl   $0x0,-0x30(%rsp)
  jg     L59
  jmp    L87
L161:
  add    -0x10(%rsp),%r15
  subl   $0x1,-0x14(%rsp)
  mov    -0x14(%rsp),%eax
  cmp    $0xffffffff,%eax
  je     L71
L171:
  cmpl   $0x0,-0x18(%rsp)
  jle    L161
  mov    0x38(%rsp),%eax
  neg    %eax
  mov    %eax,-0x1c(%rsp)
  mov    -0x4(%rsp),%eax
  mov    %eax,-0x28(%rsp)
  movl   $0x0,-0x20(%rsp)
  jmp    L26
L71:
  pop    %rbx
  pop    %rbp
  pop    %r12
  pop    %r13
  pop    %r14
  pop    %r15
  ret
```

assistant: ```c
void neuralops_caffe_im2col(const float *in_buf, const int channels, const int height, const int width, const int kernel_h, const int kernel_w, const int pad_h, const int pad_w, const int stride_h, const int stride_w, const int dilation_h, const int dilation_w, float *col_buf) {
  const float *data_im = in_buf;
  float *data_col = col_buf;
  const int output_h = (height + 2 * pad_h - (dilation_h * (kernel_h - 1) + 1)) / stride_h + 1;
  const int output_w = (width + 2 * pad_w - (dilation_w * (kernel_w - 1) + 1)) / stride_w + 1;
  const int channel_size = height * width;
  for (int channel = channels; channel--; data_im += channel_size) {
    for (int kernel_row = 0; kernel_row < kernel_h; kernel_row++) {
      for (int kernel_col = 0; kernel_col < kernel_w; kernel_col++) {
        int input_row = -pad_h + kernel_row * dilation_h;
        for (int output_rows = output_h; output_rows; output_rows--) {
          if (!(input_row >= 0 && input_row < height)) {
            for (int output_cols = output_w; output_cols; output_cols--) {
              *(data_col++) = 0.0f;
            }
          } else {
            int input_col = -pad_w + kernel_col * dilation_w;
            for (int output_col = output_w; output_col; output_col--) {
              if (input_col >= 0 && input_col < width) {
                *(data_col++) = data_im[input_row * width + input_col];
              } else {
                *(data_col++) = 0.0f;
              }
              input_col += stride_w;
            }
          }
          input_row += stride_h;
        }
      }
    }
  }
}
```