update TensorRT descriptions

README.md

@@ -53,7 +53,7 @@ IoU was used for evaluating the performance of the model. This model achieves a
 ![A graph showing the validation mean IoU over 100 epochs.](https://developer.download.nvidia.com/assets/Clara/Images/monai_endoscopic_tool_segmentation_val_iou_v3.png)
 
 #### TensorRT speedup
-The `endoscopic_tool_segmentation` bundle supports the TensorRT acceleration. The table below shows the speedup ratios benchmarked on an A100 80G GPU.
+The `endoscopic_tool_segmentation` bundle supports acceleration with TensorRT. The table below displays the speedup ratios observed on an A100 80G GPU.
 
 | method | torch_fp32(ms) | torch_amp(ms) | trt_fp32(ms) | trt_fp16(ms) | speedup amp | speedup fp32 | speedup fp16 | amp vs fp16|
 | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |

configs/metadata.json

@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.4.9",
+    "version": "0.5.0",
     "changelog": {
+        "0.5.0": "update TensorRT descriptions",
         "0.4.9": "update the model weights",
         "0.4.8": "update the TensorRT part in the README file",
         "0.4.7": "fix mgpu finalize issue",
@@ -20,7 +21,7 @@
         "0.1.0": "complete the first version model package",
         "0.0.1": "initialize the model package structure"
     },
-    "monai_version": "1.2.0rc4",
+    "monai_version": "1.2.0rc5",
     "pytorch_version": "1.13.1",
     "numpy_version": "1.22.2",
     "optional_packages_version": {

docs/README.md

@@ -46,7 +46,7 @@ IoU was used for evaluating the performance of the model. This model achieves a
 ![A graph showing the validation mean IoU over 100 epochs.](https://developer.download.nvidia.com/assets/Clara/Images/monai_endoscopic_tool_segmentation_val_iou_v3.png)
 
 #### TensorRT speedup
-The `endoscopic_tool_segmentation` bundle supports the TensorRT acceleration. The table below shows the speedup ratios benchmarked on an A100 80G GPU.
+The `endoscopic_tool_segmentation` bundle supports acceleration with TensorRT. The table below displays the speedup ratios observed on an A100 80G GPU.
 
 | method | torch_fp32(ms) | torch_amp(ms) | trt_fp32(ms) | trt_fp16(ms) | speedup amp | speedup fp32 | speedup fp16 | amp vs fp16|
 | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |