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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 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 | // 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/core/pipeline.h"
#include <atomic>
#include <optional>
#include <utility>
#include <vector>
#include "absl/functional/any_invocable.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 "absl/types/span.h" // from @com_google_absl
#include "litert/cc/litert_macros.h" // from @litert
#include "litert/cc/litert_tensor_buffer.h" // from @litert
#include "runtime/components/constrained_decoding/constraint.h"
#include "runtime/components/sampler.h"
#include "runtime/components/stop_token_detector.h"
#include "runtime/components/tokenizer.h"
#include "runtime/core/tasks.h"
#include "runtime/engine/io_types.h"
#include "runtime/executor/llm_executor.h"
#include "runtime/executor/llm_executor_io_types.h"
#include "runtime/proto/sampler_params.pb.h"
#include "runtime/util/convert_tensor_buffer.h"
#include "runtime/util/status_macros.h" //NOLINT
namespace litert::lm {
absl::StatusOr<int> Prefill(LlmExecutor& executor, ExecutorInputs& inputs,
bool wait_for_completion,
std::optional<BenchmarkInfo>& benchmark_info) {
auto task_response =
Tasks::Prefill(executor, inputs, wait_for_completion, benchmark_info);
if (!task_response.ok()) {
return task_response.status();
}
ASSIGN_OR_RETURN(auto text_data, inputs.GetTextDataPtr());
LITERT_ASSIGN_OR_RETURN(
auto ids_buffer_span,
ReferTensorBufferAsSpan<int>(text_data->GetTokenIds()));
return ids_buffer_span.back();
}
absl::StatusOr<Responses> Decode(LlmExecutor& executor, Tokenizer& tokenizer,
const StopTokenDetector& stop_token_detector,
int num_output_candidates,
Constraint* constraint,
std::optional<BenchmarkInfo>& benchmark_info,
std::atomic<bool>* cancelled,
int max_output_tokens) {
absl::AnyInvocable<void(absl::StatusOr<Responses>)> callback = nullptr;
return Tasks::Decode(
executor, tokenizer, stop_token_detector, num_output_candidates,
benchmark_info, /*sampler=*/std::nullopt, constraint,
/*decoded_ids=*/std::nullopt, /*callback=*/callback, cancelled,
max_output_tokens);
}
absl::Status DecodeStreaming(
LlmExecutor& executor, Tokenizer& tokenizer,
const StopTokenDetector& stop_token_detector, int num_output_candidates,
Constraint* constraint, std::optional<BenchmarkInfo>& benchmark_info,
absl::AnyInvocable<void(absl::StatusOr<Responses>)> callback,
std::atomic<bool>* cancelled, int max_output_tokens) {
if (callback == nullptr) {
return absl::InvalidArgumentError(
"Callback must not be null for streaming.");
}
absl::StatusOr<Responses> task_respones =
Tasks::Decode(executor, tokenizer, stop_token_detector,
num_output_candidates, benchmark_info,
/*sampler=*/std::nullopt, constraint,
/*decoded_ids=*/std::nullopt, callback, cancelled,
max_output_tokens);
// Trigger the callback with the final result.
// This can be either a error message, or a task state (e.g. kDone or
// kMaxNumTokensReached).
callback(task_respones);
return task_respones.status();
}
absl::StatusOr<Responses> DecodeCustomSampling(
LlmExecutor& executor, Tokenizer& tokenizer,
const StopTokenDetector& stop_token_detector, int num_output_candidates,
Sampler& sampler, litert::TensorBuffer decoded_ids, Constraint* constraint,
std::optional<BenchmarkInfo>& benchmark_info,
std::atomic<bool>* cancelled, int max_output_tokens) {
absl::AnyInvocable<void(absl::StatusOr<Responses>)> callback = nullptr;
return Tasks::Decode(executor, tokenizer, stop_token_detector,
num_output_candidates, benchmark_info, &sampler,
constraint, std::move(decoded_ids),
/*callback=*/callback, cancelled, max_output_tokens);
}
absl::Status DecodeCustomSamplingStreaming(
LlmExecutor& executor, Tokenizer& tokenizer,
const StopTokenDetector& stop_token_detector, int num_output_candidates,
Sampler& sampler, litert::TensorBuffer decoded_ids, Constraint* constraint,
std::optional<BenchmarkInfo>& benchmark_info,
absl::AnyInvocable<void(absl::StatusOr<Responses>)> callback,
std::atomic<bool>* cancelled, int max_output_tokens) {
if (callback == nullptr) {
return absl::InvalidArgumentError(
"Callback must not be null for streaming.");
}
absl::StatusOr<Responses> task_respones = Tasks::Decode(
executor, tokenizer, stop_token_detector, num_output_candidates,
benchmark_info, &sampler, constraint, std::move(decoded_ids), callback,
cancelled, max_output_tokens);
// Trigger the callback with the final result.
// This can be either a error message, or a task state (e.g. kDone or
// kMaxNumTokensReached).
callback(task_respones);
return task_respones.status();
}
absl::StatusOr<Responses> ScoreCustomSampling(
LlmExecutor& executor, Tokenizer& tokenizer,
const std::vector<absl::string_view>& target_texts, const float temperature,
litert::TensorBuffer decoded_ids, bool store_token_lengths) {
return Tasks::Score(executor, tokenizer, target_texts, temperature,
std::move(decoded_ids), store_token_lengths);
}
} // namespace litert::lm
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