modify mgpu logging level
Browse files- README.md +6 -0
- configs/metadata.json +3 -2
- configs/multi_gpu_train.json +4 -1
- configs/train.json +1 -1
- docs/README.md +6 -0
README.md
CHANGED
@@ -124,6 +124,12 @@ For more details usage instructions, visit the [MONAI Bundle Configuration Page]
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python -m monai.bundle run --config_file configs/train.json
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```
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#### Override the `train` config to execute multi-GPU training
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```
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python -m monai.bundle run --config_file configs/train.json
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```
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+
Please note that if the default dataset path is not modified with the actual path in the bundle config files, you can also override it by using `--dataset_dir`:
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```
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python -m monai.bundle run --config_file configs/train.json --dataset_dir <actual dataset path>
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```
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#### Override the `train` config to execute multi-GPU training
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```
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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": "0.5.
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"changelog": {
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"0.5.4": "retrain using an internal pretrained ResNet18",
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"0.5.3": "make the training bundle deterministic",
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"0.5.2": "update TensorRT descriptions",
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@@ -25,7 +26,7 @@
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"0.1.1": "fix location variable name change",
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"0.1.0": "initialize release of the bundle"
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},
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"monai_version": "1.2.
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"pytorch_version": "1.13.1",
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"numpy_version": "1.22.2",
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"optional_packages_version": {
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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": "0.5.5",
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"changelog": {
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"0.5.5": "modify mgpu logging level",
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"0.5.4": "retrain using an internal pretrained ResNet18",
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"0.5.3": "make the training bundle deterministic",
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"0.5.2": "update TensorRT descriptions",
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"0.1.1": "fix location variable name change",
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"0.1.0": "initialize release of the bundle"
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},
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"monai_version": "1.2.0rc6",
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"pytorch_version": "1.13.1",
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"numpy_version": "1.22.2",
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"optional_packages_version": {
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configs/multi_gpu_train.json
CHANGED
@@ -28,7 +28,10 @@
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"$import torch.distributed as dist",
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"$dist.is_initialized() or dist.init_process_group(backend='nccl')",
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"$torch.cuda.set_device(@device)",
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-
"$monai.utils.set_determinism(seed=123)"
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],
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"run": [
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"$@train#trainer.run()"
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"$import torch.distributed as dist",
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"$dist.is_initialized() or dist.init_process_group(backend='nccl')",
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"$torch.cuda.set_device(@device)",
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"$monai.utils.set_determinism(seed=123)",
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"$import logging",
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"$@train#trainer.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
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"$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)"
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],
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"run": [
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"$@train#trainer.run()"
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configs/train.json
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"model_name": "resnet18",
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"num_classes": 1,
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"use_conv": true,
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"pretrained":
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},
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"network": "$@network_def.to(@device)",
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"loss": {
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"model_name": "resnet18",
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"num_classes": 1,
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"use_conv": true,
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"pretrained": false
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},
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"network": "$@network_def.to(@device)",
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"loss": {
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docs/README.md
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@@ -117,6 +117,12 @@ For more details usage instructions, visit the [MONAI Bundle Configuration Page]
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python -m monai.bundle run --config_file configs/train.json
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```
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#### Override the `train` config to execute multi-GPU training
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```
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python -m monai.bundle run --config_file configs/train.json
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```
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+
Please note that if the default dataset path is not modified with the actual path in the bundle config files, you can also override it by using `--dataset_dir`:
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+
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```
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+
python -m monai.bundle run --config_file configs/train.json --dataset_dir <actual dataset path>
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```
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+
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#### Override the `train` config to execute multi-GPU training
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```
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