Files
FastDeploy/custom_ops/gpu_ops/get_img_boundaries.cc
2025-10-21 22:06:06 +08:00

65 lines
2.4 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"
#ifndef PD_BUILD_STATIC_OP
#define PD_BUILD_STATIC_OP(name) PD_BUILD_OP(static_op_##name)
#endif
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_STATIC_OP(get_img_boundaries)
.Inputs({"task_input_ids", "grid_thw"})
.Attrs({"image_patch_id: int64_t"})
.Outputs({"img_boundaries"})
.SetKernelFn(PD_KERNEL(GetImgBoundaries));