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docs: bit misspell print label util script Installation section README #1

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docs: bit misspell print warning label safe_load drop_optimizer util …
guspan-tanadi Oct 29, 2023
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docs(README): bit misspell Installation section
guspan-tanadi Oct 29, 2023
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -18,7 +18,7 @@ This is the TorchDrug implementation of [ULTRA], a foundation model for KG reaso
## Installation ##

You may install the dependencies via either conda or pip.
Ultra (TorchDrug) is compatible with Python 3.7/3.8/3.9, PyTorch 1.13 and PyG 2.3 (CUDA 11.7 or later wnen running on GPUs). If you are on a Mac, you may omit the CUDA toolkit requirements (tested with PyTorch 2.0 with the relevant `torch-scatter` version on Mac M2).
Ultra (TorchDrug) is compatible with Python 3.7/3.8/3.9, PyTorch 1.13 and PyG 2.3 (CUDA 11.7 or later when running on GPUs). If you are on a Mac, you may omit the CUDA toolkit requirements (tested with PyTorch 2.0 with the relevant `torch-scatter` version on Mac M2).

### From Conda ###

Expand Down Expand Up @@ -143,7 +143,7 @@ To run ULTRA with multiple GPUs, use the following commands (eg, 4 GPUs per node
python -m torch.distributed.launch --nproc_per_node=4 script/run_full.py -c config/transductive/pretrain.yaml --gpus [0,1,2,3]
```

Multi-node setup might work as well(not tested):
Multi-node setup might work as well (not tested):
```bash
python -m torch.distributed.launch --nnodes=4 --nproc_per_node=4 script/pretrain.py -c config/transductive/pretrain.yaml --gpus [0,1,2,3,0,1,2,3,0,1,2,3,0,1,2,3]
```
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4 changes: 2 additions & 2 deletions ultra/util.py
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Expand Up @@ -266,7 +266,7 @@ def safe_load(solver, checkpoint, fix_reasoner=False, drop_optimizer=True):
if not fix_reasoner:
solver.optimizer.load_state_dict(state["optimizer"])
except:
print("\n\n\n\nwarninig: loaded state dict has a different number of parameter groups\n\n\n\n")
print("\n\n\n\nwarning: loaded state dict has a different number of parameter groups\n\n\n\n")

for state in solver.optimizer.state.values():
for k, v in state.items():
Expand Down Expand Up @@ -322,4 +322,4 @@ def clean_save(solver, checkpoint):
}
torch.save(state, checkpoint)

comm.synchronize()
comm.synchronize()