mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-31 03:46:40 +08:00
5acde4eb43
* [Feature] Support multimodal scheduler v1 * remove debug log * fix bug * fix format * modify code * fix bug * fix bug * fix bug * modify code
61 lines
2.3 KiB
C++
61 lines
2.3 KiB
C++
// 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"
|
|
|
|
std::vector<paddle::Tensor> GetImgBoundaries(const paddle::Tensor& task_input_ids,
|
|
const paddle::Tensor& grid_thw,
|
|
const int64_t image_patch_id) {
|
|
// All tensor in cpu
|
|
auto input_ids_ptr = task_input_ids.data<int64_t>();
|
|
int64_t seq_lens_origin = task_input_ids.numel();
|
|
auto grid_thw_ptr = grid_thw.data<int64_t>();
|
|
|
|
int token_times = 4;
|
|
int token_idx = 0;
|
|
int image_idx = 0;
|
|
std::vector<int> img_boundaries, img_nums;
|
|
img_boundaries.emplace_back(0);
|
|
img_nums.emplace_back(0);
|
|
while (token_idx < seq_lens_origin) {
|
|
if (input_ids_ptr[token_idx] != image_patch_id) {
|
|
do {
|
|
token_idx++;
|
|
} while (token_idx < seq_lens_origin && input_ids_ptr[token_idx] != image_patch_id);
|
|
} else {
|
|
int cur_image_token_len = (grid_thw_ptr[image_idx * 3 + 1] * grid_thw_ptr[image_idx * 3 + 2]) / token_times;
|
|
image_idx++;
|
|
token_idx += cur_image_token_len;
|
|
}
|
|
img_boundaries.emplace_back(token_idx);
|
|
img_nums.emplace_back(image_idx);
|
|
}
|
|
|
|
int64_t num_img_boundaries = static_cast<int64_t>(img_boundaries.size());
|
|
auto out = paddle::full({2, num_img_boundaries}, 0, paddle::DataType::INT64, paddle::CPUPlace());
|
|
|
|
for (int i = 0; i < num_img_boundaries; i++) {
|
|
out.data<int64_t>()[i] = img_boundaries[i];
|
|
out.data<int64_t>()[num_img_boundaries + i] = img_nums[i];
|
|
}
|
|
|
|
return {out};
|
|
}
|
|
|
|
PD_BUILD_OP(get_img_boundaries)
|
|
.Inputs({"task_input_ids", "grid_thw"})
|
|
.Attrs({"image_patch_id: int64_t"})
|
|
.Outputs({"img_boundaries"})
|
|
.SetKernelFn(PD_KERNEL(GetImgBoundaries));
|