[Executorch][custo ops] Add prototype defs for custom op

extension/llm/custom_ops/op_sdpa_aot.cpp

@@ -17,6 +17,77 @@ namespace torch {
 namespace executor {
 
 namespace native {
+Tensor& sdpa_with_kv_cache_out_no_context(
+    const Tensor& q_projected,
+    const Tensor& k_projected,
+    const Tensor& v_projected,
+    Tensor& key_cache,
+    Tensor& value_cache,
+    const int64_t start_pos,
+    const int64_t seq_len,
+    // @lint-ignore CLANGTIDY facebook-hte-ConstantArgumentPassByValue
+    // @lint-ignore CLANGTIDY facebook-hte-ParameterMightThrowOnCopy
+    const optional<Tensor> attn_mask,
+    const double dropout_p,
+    const bool is_causal,
+    // @lint-ignore CLANGTIDY facebook-hte-ParameterMightThrowOnCopy
+    const optional<double> scale,
+    Tensor& output);
+
+at::Tensor sdpa_with_kv_cache_aten(
+    const at::Tensor& q_projected,
+    const at::Tensor& k_projected,
+    const at::Tensor& v_projected,
+    at::Tensor& key_cache,
+    at::Tensor& value_cache,
+    const int64_t start_pos,
+    const int64_t seq_len,
+    // @lint-ignore CLANGTIDY facebook-hte-ConstantArgumentPassByValue
+    // @lint-ignore CLANGTIDY facebook-hte-ParameterMightThrowOnCopy
+    const std::optional<at::Tensor> attn_mask,
+    const double dropout_p,
+    const bool is_causal,
+    // @lint-ignore CLANGTIDY facebook-hte-ParameterMightThrowOnCopy
+    const std::optional<double> scale);
+
+Tensor& custom_sdpa_out_no_context(
+    const Tensor& q,
+    const Tensor& k,
+    const Tensor& v,
+    const int64_t start_pos,
+    // @lint-ignore CLANGTIDY facebook-hte-ConstantArgumentPassByValue
+    // @lint-ignore CLANGTIDY facebook-hte-ParameterMightThrowOnCopy
+    const optional<Tensor> attn_mask,
+    const double dropout_p,
+    const bool is_causal,
+    // @lint-ignore CLANGTIDY facebook-hte-ParameterMightThrowOnCopy
+    const optional<double> scale,
+    Tensor& output);
+
+at::Tensor custom_sdpa_aten(
+    const at::Tensor& q,
+    const at::Tensor& k,
+    const at::Tensor& v,
+    const int64_t start_pos,
+    // @lint-ignore CLANGTIDY facebook-hte-ConstantArgumentPassByValue
+    // @lint-ignore CLANGTIDY facebook-hte-ParameterMightThrowOnCopy
+    const std::optional<at::Tensor> attn_mask,
+    const double dropout_p,
+    const bool is_causal,
+    // @lint-ignore CLANGTIDY facebook-hte-ParameterMightThrowOnCopy
+    const std::optional<double> scale);
+
+Tensor& update_cache_out_no_context(
+    const Tensor& value,
+    Tensor& cache,
+    const int64_t start_pos,
+    Tensor& output);
+
+at::Tensor update_cache_aten(
+    const at::Tensor& value,
+    at::Tensor& cache,
+    const int64_t start_pos);
+
 Tensor& sdpa_with_kv_cache_out_no_context(
     const Tensor& q_projected,
     const Tensor& k_projected,

extension/llm/custom_ops/op_tile_crop_aot.cpp

@@ -17,12 +17,17 @@ namespace executor {
 
 namespace native {
 
+Tensor&
+tile_crop_out_no_context(const Tensor& input, int64_t tile_size, Tensor& out);
+
 Tensor&
 tile_crop_out_no_context(const Tensor& input, int64_t tile_size, Tensor& out) {
   executorch::aten::RuntimeContext context{};
   return tile_crop_out_impl(context, input, tile_size, out);
 }
 
+at::Tensor tile_crop_aten(const at::Tensor& input, int64_t tile_size);
+
 at::Tensor tile_crop_aten(const at::Tensor& input, int64_t tile_size) {
   // max_num_tiles = 4, num_channels = 3.
   auto output = at::empty({4, 3, tile_size, tile_size});