[LLM] First commit the llm deployment code

custom_ops/gpu_ops/update_inputs_beam.cu

@@ -0,0 +1,89 @@
+// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "helper.h"
+
+template <int THREADBLOCK_SIZE>
+__global__ void update_inputs_beam_kernel(
+    int *seq_lens_this_time,
+    int *seq_lens_encoder,
+    int64_t *input_ids,
+    float *logits,
+    const int bsz,
+    const int seq_len,
+    const int hidden_size,
+    const int beam_width) {
+  int thread_idx = threadIdx.x;
+  int block_idx = blockIdx.x;
+
+  if (thread_idx < bsz) {
+    int bsz_index = thread_idx / beam_width * beam_width;
+    if (seq_lens_encoder[bsz_index] > 0) {
+      if (block_idx == 0) {
+        seq_lens_this_time[thread_idx] = seq_lens_this_time[bsz_index];
+        seq_lens_encoder[thread_idx] = seq_lens_encoder[bsz_index];
+      } 
+      if (block_idx < seq_len) {
+        input_ids[thread_idx * seq_len + block_idx] = input_ids[bsz_index * seq_len + block_idx];
+      }
+
+      logits[thread_idx * hidden_size + block_idx] = logits[bsz_index * hidden_size + block_idx];
+
+    }
+
+  }
+  __syncthreads();
+}
+
+void UpdateInputesBeam(
+                   const paddle::Tensor& beam_width,
+                   const paddle::Tensor& seq_lens_this_time,
+                   const paddle::Tensor& seq_lens_encoder,
+                   const paddle::Tensor& input_ids,
+                   const paddle::Tensor& logits) {
+  int beam_width_scalar = beam_width.data<int>()[0];
+
+  if (beam_width_scalar > 1) {
+    const int bsz = seq_lens_this_time.shape()[0];
+    const int seq_len = input_ids.shape()[1];
+    const int hidden_size = logits.shape()[1];
+
+    update_inputs_beam_kernel<1024><<<hidden_size, 1024, 0, input_ids.stream()>>>(
+      const_cast<int*>(seq_lens_this_time.data<int>()),
+      const_cast<int*>(seq_lens_encoder.data<int>()),
+      const_cast<int64_t*>(input_ids.data<int64_t>()),
+      const_cast<float*>(logits.data<float>()),
+      bsz,
+      seq_len,
+      hidden_size,
+      beam_width_scalar
+    );
+  }
+}
+
+PD_BUILD_STATIC_OP(update_inputs_beam)
+    .Inputs({"beam_width",
+             "seq_lens_this_time", 
+             "seq_lens_encoder", 
+             "input_ids",
+             "logits"})
+    .Outputs({"seq_lens_this_time_out",
+              "seq_lens_encoder_out",
+              "input_ids_out",
+              "logits_out"})
+    .SetInplaceMap({{"seq_lens_this_time", "seq_lens_this_time_out"},
+                    {"seq_lens_encoder", "seq_lens_encoder_out"},
+                    {"input_ids", "input_ids_out"},
+                    {"logits", "logits_out"}})
+    .SetKernelFn(PD_KERNEL(UpdateInputesBeam));