forward tgi parameters rep/freq penalty

backends/trtllm/include/backend.h

@@ -42,6 +42,8 @@ namespace huggingface::tgi::backends {
      * @param topK
      * @param topP
      * @param temperature
+     * @param repetition_penalty
+     * @param frequency_penalty
      * @param seed
      * @return
      */
@@ -49,6 +51,8 @@ namespace huggingface::tgi::backends {
             uint32_t topK,
             float_t topP,
             float_t temperature,
+            float_t repetition_penalty,
+            float_t frequency_penalty,
             uint64_t seed
     );
 
@@ -84,6 +88,8 @@ namespace huggingface::tgi::backends {
          * @param topK
          * @param topP
          * @param temperature
+         * @param repetition_penalty
+         * @param frequency_penalty
          * @param seed
          * @return Request id related to this generation for reference
          */
@@ -92,6 +98,8 @@ namespace huggingface::tgi::backends {
                 int32_t topK,
                 float_t topP,
                 float_t temperature,
+                float_t repetition_penalty,
+                float_t frequency_penalty,
                 uint64_t seed
         );
 

backends/trtllm/include/ffi.h

@@ -40,12 +40,15 @@ namespace huggingface::tgi::backends {
          * @param topK
          * @param topP
          * @param temperature
+         * @param repetition_penalty
+         * @param frequency_penalty
          * @param seed
          * @return
          */
         [[nodiscard("returned request id should be used to refer to the request's generation result later on")]]
         uint64_t
-        Submit(rust::Slice<const uint32_t> tokens, int32_t topK, float_t topP, float_t temperature, uint64_t seed);
+        Submit(rust::Slice<const uint32_t> tokens, int32_t topK, float_t topP, float_t temperature,
+               float_t repetition_penalty, float_t frequency_penalty, uint64_t seed);
 
         /***
          *

backends/trtllm/lib/backend.cpp

@@ -57,6 +57,8 @@ tle::SamplingConfig huggingface::tgi::backends::GetSamplingConfig(
         uint32_t topK,
         float_t topP,
         float_t temperature,
+        float_t repetition_penalty,
+        float_t frequency_penalty,
         uint64_t seed) {
     return tle::SamplingConfig(
             1,  // TGI only use a single beam
@@ -66,9 +68,12 @@ tle::SamplingConfig huggingface::tgi::backends::GetSamplingConfig(
             std::nullopt,
             std::nullopt,
             seed,
-            std::nullopt,
             temperature,
-            std::nullopt
+            temperature,
+            std::nullopt,
+            repetition_penalty,
+            std::nullopt,
+            frequency_penalty
     );
 }
 
@@ -99,6 +104,8 @@ tle::IdType huggingface::tgi::backends::TensorRtLlmBackend::Submit(
         const int32_t topK,
         const float_t topP,
         const float_t temperature,
+        const float_t repetition_penalty,
+        const float_t frequency_penalty,
         const uint64_t seed
 ) {
 #ifdef NDEBUG
@@ -118,7 +125,7 @@ tle::IdType huggingface::tgi::backends::TensorRtLlmBackend::Submit(
     const auto maxNumTokens = config["/build_config/max_num_tokens"_json_pointer].get<size_t>();
     const auto maxNewTokens = static_cast<int32_t>(std::max(1ul, maxNumTokens - tokens.size()));
 
-    const auto sampling = GetSamplingConfig(topK, topP, temperature, seed);
+    const auto sampling = GetSamplingConfig(topK, topP, temperature, repetition_penalty, frequency_penalty, seed);
     const auto output = tle::OutputConfig(true, false, false, true, false);
     return executor.enqueueRequest(
             tle::Request{tokens, maxNewTokens, true, sampling, output});

backends/trtllm/src/backend.rs

@@ -140,6 +140,8 @@ impl TensorRtLlmBackend {
         top_k: u32,
         top_p: f32,
         temperature: f32,
+        repetition_penalty: f32,
+        frequency_penalty: f32,
         seed: u64,
     ) {
         let tokenizer = Arc::clone(&self.tokenizer);
@@ -174,10 +176,15 @@ impl TensorRtLlmBackend {
                 .in_scope(|| async {
                     debug!("Acquiring lock for submit");
                     let mut handle = executor.write().await;
-                    let request_id =
-                        handle
-                            .pin_mut()
-                            .submit(&tokens, top_k as i32, top_p, temperature, seed);
+                    let request_id = handle.pin_mut().submit(
+                        &tokens,
+                        top_k as i32,
+                        top_p,
+                        temperature,
+                        repetition_penalty,
+                        frequency_penalty,
+                        seed,
+                    );
 
                     debug!("Releasing lock for submit");
                     request_id

backends/trtllm/src/ffi.cpp

@@ -24,11 +24,13 @@ bool huggingface::tgi::backends::TensorRtLlmBackendImpl::IsReady() const {
 }
 
 uint64_t huggingface::tgi::backends::TensorRtLlmBackendImpl::Submit(
-        rust::Slice<const uint32_t> tokens, int32_t topK, float_t topP, float_t temperature, uint64_t seed) {
+        rust::Slice<const uint32_t> tokens, int32_t topK, float_t topP, float_t temperature, float_t repetition_penalty,
+        float_t frequency_penalty, uint64_t seed) {
 
     // This will copy all the items from the initial slice
     std::vector<int32_t> tokens_(std::make_move_iterator(tokens.begin()), std::make_move_iterator(tokens.end()));
-    return TensorRtLlmBackend::Submit(std::move(tokens_), topK, topP, temperature, seed);
+    return TensorRtLlmBackend::Submit(
+            std::move(tokens_), topK, topP, temperature, repetition_penalty, frequency_penalty, seed);
 }
 
 size_t huggingface::tgi::backends::TensorRtLlmBackendImpl::StreamTokens(

backends/trtllm/src/lib.rs

@@ -50,6 +50,8 @@ mod ffi {
             top_k: i32,
             top_p: f32,
             temperature: f32,
+            repetition_penalty: f32,
+            frequency_penalty: f32,
             seed: u64,
         ) -> u64;