| /* Copyright 2025 SGLang Team. 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. | |
| ==============================================================================*/ | |
| // Adapted from: https://github.com/vllm-project/vllm/blob/main/csrc/ops.h | |
| at::Tensor weak_ref_tensor(const at::Tensor& tensor) { | |
| TORCH_CHECK(tensor.is_cuda(), "weak_ref_tensor expects a CUDA tensor"); | |
| void* data_ptr = tensor.data_ptr(); | |
| std::vector<int64_t> sizes = tensor.sizes().vec(); | |
| std::vector<int64_t> strides = tensor.strides().vec(); | |
| auto options = tensor.options(); | |
| auto new_tensor = at::from_blob(data_ptr, sizes, strides, options); | |
| return new_tensor; | |
| } | |