[LLM] First commit the llm deployment code

custom_ops/gpu_ops/init_signal_layerwise.cc

@@ -0,0 +1,54 @@
+// Copyright (c) 2025 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 "paddle/extension.h"
+#include "remote_cache_kv_ipc.h"
+#include "paddle/phi/core/allocator.h"
+#include "paddle/phi/core/dense_tensor.h"
+
+#ifndef PD_BUILD_STATIC_OP
+#define PD_BUILD_STATIC_OP(name) PD_BUILD_OP(static_op_##name)
+#endif
+
+using cache_write_complete_signal_type = RemoteCacheKvIpc::save_cache_kv_complete_signal_layerwise_meta_data;
+
+paddle::Tensor InitSignalLayerwiseFunc(const paddle::Tensor& kv_signal_metadata, const int layer_id) {
+    auto kv_signal_metadata_out = kv_signal_metadata.copy_to(paddle::CPUPlace(), false);
+    kv_signal_metadata_out.data<int64_t>()[0] = static_cast<int64_t>(layer_id);
+    return kv_signal_metadata_out;
+}
+
+std::vector<paddle::Tensor> InitSignalLayerwise(const paddle::Tensor& kv_signal_metadata, const int layer_id) {
+    return {InitSignalLayerwiseFunc(kv_signal_metadata, layer_id)};
+}
+
+std::vector<std::vector<int64_t>> InitSignalLayerwiseShape(
+    const std::vector<int64_t>& kv_signal_metadata_shape,
+    const int layer_id) {
+    return {kv_signal_metadata_shape};
+}
+
+std::vector<paddle::DataType> InitSignalLayerwiseDtype(
+    const paddle::DataType& kv_signal_metadata_dtype,
+    const int layer_id) {
+    return {paddle::DataType::INT64};
+}
+
+PD_BUILD_STATIC_OP(init_signal_layerwise)
+    .Inputs({"kv_signal_metadata"})
+    .Outputs({"kv_signal_metadata_out"})
+    .Attrs({"layer_id: int"})
+    .SetKernelFn(PD_KERNEL(InitSignalLayerwise))
+    .SetInferShapeFn(PD_INFER_SHAPE(InitSignalLayerwiseShape))
+    .SetInferDtypeFn(PD_INFER_DTYPE(InitSignalLayerwiseDtype));