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5f923cd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 | // Copyright 2025 The ODML Authors.
//
// 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 "runtime/components/lora_manager.h"
#include <cstdint>
#include <memory>
#include <utility>
#include "absl/container/flat_hash_map.h" // from @com_google_absl
#include "absl/memory/memory.h" // from @com_google_absl
#include "absl/status/status.h" // from @com_google_absl
#include "absl/status/statusor.h" // from @com_google_absl
#include "absl/strings/string_view.h" // from @com_google_absl
#include "litert/cc/litert_compiled_model.h" // from @litert
#include "litert/cc/litert_model.h" // from @litert
#include "litert/cc/litert_tensor_buffer.h" // from @litert
#include "runtime/components/lora.h"
#include "runtime/executor/executor_settings_base.h"
#include "runtime/util/lora_data.h"
#include "runtime/util/status_macros.h"
namespace litert::lm {
absl::StatusOr<std::unique_ptr<LoraManager>> LoraManager::Create(
const litert::CompiledModel& compiled_model) {
return absl::WrapUnique(new LoraManager(compiled_model));
}
LoraManager::LoraManager(const litert::CompiledModel& compiled_model)
: compiled_model_(compiled_model) {}
absl::Status LoraManager::LoadLoRA(uint32_t lora_id,
const ModelAssets& model_assets) {
if (lora_data_.contains(lora_id)) {
return absl::AlreadyExistsError("LoRA ID already exists");
}
ASSIGN_OR_RETURN(auto scoped_file, model_assets.GetOrCreateScopedFile());
ASSIGN_OR_RETURN(auto lora_data, LoraData::CreateFromScopedFile(scoped_file));
lora_data_[lora_id] = std::move(lora_data);
return absl::OkStatus();
}
absl::Status LoraManager::UseLoRA(uint32_t lora_id) {
if (!lora_data_.contains(lora_id) && !loras_.contains(lora_id)) {
return absl::NotFoundError("LoRA ID not found");
}
if (!loras_.contains(lora_id)) {
ASSIGN_OR_RETURN(auto lora, LoRA::Create(std::move(lora_data_[lora_id]),
compiled_model_));
loras_[lora_id] = std::move(lora);
lora_data_.erase(lora_id);
}
current_lora_id_ = lora_id;
return absl::OkStatus();
}
absl::StatusOr<absl::flat_hash_map<absl::string_view, litert::TensorBuffer>>
LoraManager::GetLoRABuffers() const {
if (!current_lora_id_.has_value()) {
return absl::FailedPreconditionError("No LoRA ID is set");
}
if (!loras_.contains(*current_lora_id_)) {
return absl::NotFoundError("LoRA ID not found");
}
return loras_.at(*current_lora_id_)->GetLoRABuffers();
}
} // namespace litert::lm
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