monai
medical
katielink commited on
Commit
ef4cf37
1 Parent(s): 635fb71

enhance readme on commands example

Browse files
Files changed (3) hide show
  1. README.md +3 -0
  2. configs/metadata.json +2 -1
  3. docs/README.md +3 -0
README.md CHANGED
@@ -82,6 +82,9 @@ Override the `train` config to execute multi-GPU training:
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  torchrun --standalone --nnodes=1 --nproc_per_node=8 -m monai.bundle run training --meta_file configs/metadata.json --config_file "['configs/train.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf
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  ```
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  Override the `train` config to execute evaluation with the trained model:
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  ```
 
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  torchrun --standalone --nnodes=1 --nproc_per_node=8 -m monai.bundle run training --meta_file configs/metadata.json --config_file "['configs/train.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf
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  ```
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+ Please note that the distributed training related options depend on the actual running environment, thus you may need to remove `--standalone`, modify `--nnodes` or do some other necessary changes according to the machine you used.
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+ Please refer to [pytorch's official tutorial](https://pytorch.org/tutorials/intermediate/ddp_tutorial.html) for more details.
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+
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  Override the `train` config to execute evaluation with the trained model:
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  ```
configs/metadata.json CHANGED
@@ -1,7 +1,8 @@
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  {
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  "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
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- "version": "0.3.1",
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  "changelog": {
 
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  "0.3.1": "fix license Copyright error",
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  "0.3.0": "update license files",
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  "0.2.1": "fix network_data_format error",
 
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  {
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  "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
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+ "version": "0.3.2",
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  "changelog": {
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+ "0.3.2": "enhance readme on commands example",
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  "0.3.1": "fix license Copyright error",
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  "0.3.0": "update license files",
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  "0.2.1": "fix network_data_format error",
docs/README.md CHANGED
@@ -75,6 +75,9 @@ Override the `train` config to execute multi-GPU training:
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  torchrun --standalone --nnodes=1 --nproc_per_node=8 -m monai.bundle run training --meta_file configs/metadata.json --config_file "['configs/train.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf
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  ```
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  Override the `train` config to execute evaluation with the trained model:
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  ```
 
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  torchrun --standalone --nnodes=1 --nproc_per_node=8 -m monai.bundle run training --meta_file configs/metadata.json --config_file "['configs/train.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf
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  ```
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+ Please note that the distributed training related options depend on the actual running environment, thus you may need to remove `--standalone`, modify `--nnodes` or do some other necessary changes according to the machine you used.
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+ Please refer to [pytorch's official tutorial](https://pytorch.org/tutorials/intermediate/ddp_tutorial.html) for more details.
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+
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  Override the `train` config to execute evaluation with the trained model:
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  ```