285 struct ConvParams {  struct
286   std::vector<T> stride;
287   std::vector<T> padding;
288   std::vector<T> dilation;
289   bool transposed{};
290   std::vector<T> output_padding;
291   T groups{};
292   bool benchmark{};
293   bool deterministic{};
294   bool cudnn_enabled{};
295   bool allow_tf32{};
297   bool is_strided() const {  in is_strided()
305   bool is_dilated() const {  in is_dilated()
313   bool is_padded() const {  in is_padded()
321   bool is_output_padding_neg() const {  in is_output_padding_neg()
329   bool is_output_padding_big() const {  in is_output_padding_big()
337   bool is_padding_neg() const {  in is_padding_neg()
345   bool is_dilation_neg() const {  in is_dilation_neg()
353   bool is_stride_nonpos() const {  in is_stride_nonpos()
361   void view1d_as_2d() {  in view1d_as_2d()
370 …d(const at::Tensor& input, const at::Tensor& weight, const std::optional<at::Tensor>& bias) const {  in use_cpu_depthwise3x3_winograd()
395   bool needs_64bit_indexing_no_split(const at::Tensor& input, const at::Tensor& weight) const {  in needs_64bit_indexing_no_split()
419   bool use_cudnn(const at::Tensor& input, const at::Tensor& weight) const {  in use_cudnn()
461   bool use_cudnn_depthwise(const at::Tensor& input, const at::Tensor& weight) const  {  in use_cudnn_depthwise()
504   bool use_miopen(const at::Tensor& input, const at::Tensor& weight, bool bias_defined) const  {  in use_miopen()
516   bool use_mkldnn(const at::Tensor& input, const at::Tensor& weight) const  {  in use_mkldnn()
545   bool use_nnpack(const at::Tensor& input, const at::Tensor& weight) const  {  in use_nnpack()
564   bool use_xnnpack(const at::Tensor& input, const at::Tensor& weight,  in use_xnnpack()
586   bool use_mps(const at::Tensor& input, const at::Tensor& weight) const {  in use_mps()
605   bool is_depthwise(const at::Tensor& input, const at::Tensor& weight) const  {  in is_depthwise()