Spaces:
Running
Running
File size: 2,719 Bytes
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 | // 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.
#ifndef THIRD_PARTY_ODML_LITERT_LM_RUNTIME_UTIL_EXECUTOR_DATA_UTIL_H_
#define THIRD_PARTY_ODML_LITERT_LM_RUNTIME_UTIL_EXECUTOR_DATA_UTIL_H_
#include <vector>
#include "absl/status/statusor.h" // from @com_google_absl
#include "runtime/executor/llm_executor_io_types.h"
namespace litert::lm {
// Util function for combining multiple ExecutorVisionData into a single
// ExecutorVisionData, by concatenating the vision embeddings in a single
// tensor buffer.
//
// Specifically, if the elements of input ExecutorVisionData have TensorBuffer
// with shapes,
// [batch_size, num_token_1, feature_dim].
// [batch_size, num_token_2, feature_dim].
// ...
// [batch_size, num_token_n, feature_dim].
// The output ExecutorVisionData will have TensorBuffer with shape,
// [batch_size, 1, num_token_1 + num_token_2 + ... + num_token_n,
// feature_dim].
//
// Or if the elements of input ExecutorVisionData have TensorBuffer
// with shapes,
// [batch_size, dim1, num_token_1, feature_dim].
// [batch_size, dim1, num_token_2, feature_dim].
// ...
// [batch_size, dim1, num_token_n, feature_dim].
// The output ExecutorVisionData will have TensorBuffer with shape,
// [batch_size, dim1, num_token_1 + num_token_2 + ... + num_token_n,
// feature_dim].
absl::StatusOr<ExecutorVisionData> CombineExecutorVisionData(
std::vector<ExecutorVisionData>& executor_data);
// Util function for combining multiple ExecutorAudioData into a single
// ExecutorAudioData, by concatenating the audio embeddings in a single tensor
// buffer.
//
// Specifically, if the elements of input ExecutorAudioData have TensorBuffer
// with shapes,
// [batch_size, num_token_1, feature_dim].
// [batch_size, num_token_2, feature_dim].
// ...
// [batch_size, num_token_n, feature_dim].
// The output ExecutorAudioData will have TensorBuffer with shape,
// [batch_size, num_token_1 + num_token_2 + ... + num_token_n, feature_dim].
absl::StatusOr<ExecutorAudioData> CombineExecutorAudioData(
std::vector<ExecutorAudioData>& executor_data);
} // namespace litert::lm
#endif // THIRD_PARTY_ODML_LITERT_LM_RUNTIME_UTIL_EXECUTOR_DATA_UTIL_H_
|