Update perf_train_gpu_one.mdx (#19676)
This commit is contained in:
committed by
GitHub
parent
0027edf905
commit
aa629e7a7c
@@ -25,7 +25,7 @@ In this section we have a look at a few tricks to reduce the memory footprint an
|
||||
| DataLoader | Yes | No |
|
||||
| DeepSpeed Zero | No | Yes |
|
||||
|
||||
A bracket means that it might not be strictly the case but is usually either not a main concern or negligable. Before we start make sure you have installed the following libraries:
|
||||
A bracket means that it might not be strictly the case but is usually either not a main concern or negligible. Before we start make sure you have installed the following libraries:
|
||||
|
||||
```bash
|
||||
pip install transformers datasets accelerate nvidia-ml-py3
|
||||
@@ -732,4 +732,4 @@ TrainingArguments(torchdynamo="fx2trt-f16") #enable tensorRT fp16
|
||||
This feature involves 3 different libraries. To install them, please follow the instructions below:
|
||||
- [Torchdynamo installation](https://github.com/pytorch/torchdynamo#requirements-and-setup)
|
||||
- [Functorch installation](https://github.com/pytorch/functorch#install)
|
||||
- [Torch-TensorRT(FX) installation](https://github.com/pytorch/TensorRT/blob/master/docsrc/tutorials/getting_started_with_fx_path.rst#installation)
|
||||
- [Torch-TensorRT(FX) installation](https://github.com/pytorch/TensorRT/blob/master/docsrc/tutorials/getting_started_with_fx_path.rst#installation)
|
||||
|
||||
Reference in New Issue
Block a user