12    const std::string& kernel_name,
 
   17    const std::string& kernel_name,
 
   20    const std::string 
op);
 
   24    const std::string& kernel_name,
 
   27    const std::string 
op);
 
   31    const std::string& kernel_name,
 
   34    const std::string 
op);
 
   38    const std::string& kernel_name,
 
   40    const std::string 
op);
 
   44    const std::string& kernel_name,
 
   50    const std::string& kernel_name,
 
   56    const std::string& kernel_name,
 
   59    const std::string& reduce_type,
 
   65    const std::string& kernel_name,
 
   73    const std::string& kernel_name,
 
   81    const std::string& kernel_name,
 
   82    const std::string& func_name,
 
   83    const std::string& op_name,
 
   84    const Dtype& out_type);
 
   88    const std::string& kernel_name,
 
   89    const std::string& func_name,
 
   90    const std::string& op_name,
 
   92    const Dtype& out_type,
 
   93    const std::string& idx_t,
 
  100    const std::string& kernel_name,
 
  101    const std::string& hash_name,
 
  114    const std::string& kernel_name,
 
  129    const std::string& kernel_name,
 
  136    const std::string& kernel_name,
 
  138    const std::optional<array>& mask_out,
 
  139    const std::optional<array>& mask_op,
 
  152    const std::string& kernel_name,
 
  159    int n_channel_specialization,
 
  164    const std::string& kernel_name,
 
  166    const std::optional<array>& mask_out,
 
  167    const std::optional<array>& mask_op,
 
  179    const std::string& kernel_name,
 
  189    const std::string& kernel_name,
 
  190    const std::string& hash_name,
 
  192    const std::string& template_def);
 
  196    const std::string& kernel_name,
 
  197    const std::string& template_def);
 
  200template <
typename... Args>
 
  203  std::ostringstream s;
 
  206  auto add_arg = [&s, &first](
const auto& arg) {
 
  213  (add_arg(args), ...);
 
  216      "\ntemplate [[host_name(\"{0}\")]] [[kernel]] decltype({1}) {1};\n",
 
 
Op op
Definition binary.h:129
 
array contiguous(const array &a, bool allow_col_major=false, StreamOrDevice s={})
 
MTL::ComputePipelineState * get_copy_kernel(metal::Device &d, const std::string &kernel_name, const array &in, const array &out)
 
MTL::ComputePipelineState * get_steel_gemm_splitk_accum_kernel(metal::Device &d, const std::string &kernel_name, const array &in, const array &out, bool axbpy)
 
MTL::ComputePipelineState * get_reduce_kernel(metal::Device &d, const std::string &kernel_name, const std::string &func_name, const std::string &op_name, const Dtype &in_type, const Dtype &out_type, const std::string &idx_t, int ndim=-1, int bm=-1, int bn=-1)
 
MTL::ComputePipelineState * get_fft_kernel(metal::Device &d, const std::string &kernel_name, const std::string &hash_name, const metal::MTLFCList &func_consts, const std::string &template_def)
 
MTL::ComputePipelineState * get_softmax_kernel(metal::Device &d, const std::string &kernel_name, bool precise, const array &out)
 
MTL::ComputePipelineState * get_binary_kernel(metal::Device &d, const std::string &kernel_name, Dtype in_type, Dtype out_type, const std::string op)
 
MTL::ComputePipelineState * get_binary_two_kernel(metal::Device &d, const std::string &kernel_name, Dtype in_type, Dtype out_type, const std::string op)
 
MTL::ComputePipelineState * get_ternary_kernel(metal::Device &d, const std::string &kernel_name, Dtype type, const std::string op)
 
MTL::ComputePipelineState * get_arange_kernel(metal::Device &d, const std::string &kernel_name, const array &out)
 
MTL::ComputePipelineState * get_sort_kernel(metal::Device &d, const std::string &kernel_name, const array &in, const array &out, int bn, int tn)
 
MTL::ComputePipelineState * get_steel_gemm_fused_kernel(metal::Device &d, const std::string &kernel_name, const std::string &hash_name, const metal::MTLFCList &func_consts, const array &out, bool transpose_a, bool transpose_b, int bm, int bn, int bk, int wm, int wn)
 
MTL::ComputePipelineState * get_gemv_masked_kernel(metal::Device &d, const std::string &kernel_name, const array &out, const std::optional< array > &mask_out, const std::optional< array > &mask_op, bool transpose_mat, int bm, int bn, int sm, int sn, int tm, int tn, bool contiguous)
 
MTL::ComputePipelineState * get_quantized_kernel(metal::Device &d, const std::string &kernel_name, const std::string &template_def)
 
std::string get_template_definition(std::string name, std::string func, Args... args)
Definition kernels.h:202
 
MTL::ComputePipelineState * get_steel_gemm_masked_kernel(metal::Device &d, const std::string &kernel_name, const array &out, const std::optional< array > &mask_out, const std::optional< array > &mask_op, bool transpose_a, bool transpose_b, int bm, int bn, int bk, int wm, int wn, bool mn_aligned, bool k_aligned)
 
MTL::ComputePipelineState * get_steel_conv_general_kernel(metal::Device &d, const std::string &kernel_name, const array &out, int bm, int bn, int bk, int wm, int wn)
 
MTL::ComputePipelineState * get_steel_conv_kernel(metal::Device &d, const std::string &kernel_name, const array &out, int bm, int bn, int bk, int wm, int wn, int n_channel_specialization, bool small_filter)
 
MTL::ComputePipelineState * get_reduce_init_kernel(metal::Device &d, const std::string &kernel_name, const std::string &func_name, const std::string &op_name, const Dtype &out_type)
 
MTL::ComputePipelineState * get_scan_kernel(metal::Device &d, const std::string &kernel_name, bool reverse, bool inclusive, const std::string &reduce_type, const array &in, const array &out)
 
MTL::ComputePipelineState * get_steel_gemm_splitk_kernel(metal::Device &d, const std::string &kernel_name, const array &in, const array &out, bool transpose_a, bool transpose_b, int bm, int bn, int bk, int wm, int wn, bool mn_aligned, bool k_aligned)
 
MTL::ComputePipelineState * get_mb_sort_kernel(metal::Device &d, const std::string &kernel_name, const array &in, const array &idx, int bn, int tn)
 
MTL::ComputePipelineState * get_unary_kernel(metal::Device &d, const std::string &kernel_name, Dtype in_type, Dtype out_type, const std::string op)