katielink commited on
Commit
5c16b7b
1 Parent(s): f0039cf

add RAM usage with CachDataset

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Files changed (3) hide show
  1. README.md +11 -1
  2. configs/metadata.json +2 -1
  3. docs/README.md +11 -1
README.md CHANGED
@@ -79,7 +79,7 @@ Example dataset.json
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  }
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  ```
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- ## Training configuration
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  The training was performed with the following:
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  - GPU: at least 12GB of GPU memory
@@ -89,6 +89,16 @@ The training was performed with the following:
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  - Learning Rate: 1e-4
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  - Loss: DiceLoss
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  ## Input
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  5 channels
 
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  }
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  ```
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+ ## Training Configuration
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  The training was performed with the following:
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  - GPU: at least 12GB of GPU memory
 
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  - Learning Rate: 1e-4
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  - Loss: DiceLoss
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+ ### Memory Consumption
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+
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+ - Dataset Manager: CacheDataset
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+ - Data Size: 13,136 PNG images
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+ - Cache Rate: 1.0
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+ - Single GPU - System RAM Usage: 4.7G
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+
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+ ### Memory Consumption Warning
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+
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+ If you face memory issues with CacheDataset, you can either switch to a regular Dataset class or lower the caching rate `cache_rate` in the configurations within range $(0, 1)$ to minimize the System RAM requirements.
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  ## Input
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  5 channels
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": "0.1.1",
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  "changelog": {
 
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  "0.1.1": "deterministic retrain benchmark and add link",
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  "0.1.0": "fix mgpu finalize issue",
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  "0.0.9": "Update README Formatting",
 
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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": "0.1.2",
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  "changelog": {
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+ "0.1.2": "add RAM usage with CachDataset",
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  "0.1.1": "deterministic retrain benchmark and add link",
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  "0.1.0": "fix mgpu finalize issue",
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  "0.0.9": "Update README Formatting",
docs/README.md CHANGED
@@ -72,7 +72,7 @@ Example dataset.json
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  }
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  ```
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- ## Training configuration
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  The training was performed with the following:
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  - GPU: at least 12GB of GPU memory
@@ -82,6 +82,16 @@ The training was performed with the following:
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  - Learning Rate: 1e-4
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  - Loss: DiceLoss
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  ## Input
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  5 channels
 
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  }
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  ```
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+ ## Training Configuration
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  The training was performed with the following:
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  - GPU: at least 12GB of GPU memory
 
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  - Learning Rate: 1e-4
83
  - Loss: DiceLoss
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+ ### Memory Consumption
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+
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+ - Dataset Manager: CacheDataset
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+ - Data Size: 13,136 PNG images
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+ - Cache Rate: 1.0
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+ - Single GPU - System RAM Usage: 4.7G
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+
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+ ### Memory Consumption Warning
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+
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+ If you face memory issues with CacheDataset, you can either switch to a regular Dataset class or lower the caching rate `cache_rate` in the configurations within range $(0, 1)$ to minimize the System RAM requirements.
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  ## Input
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  5 channels