create r0.7 branch

README.md

@@ -14,32 +14,17 @@ Please see the [MLPerf Inference benchmark paper](https://arxiv.org/abs/1911.025
 }
 ```
 
-## MLPerf Inference master
-The master of this repository contains work in progress for the next official release. This is currently ***v0.7***.
-It provides the benchmarks below.
-
-See the individual Readme files in the reference app for details.
-
-
-| model | reference app | framework | dataset |
-| ---- | ---- | ---- | ---- |
-| resnet50-v1.5 | [vision/classification_and_detection](vision/classification_and_detection) | tensorflow, pytorch, onnx | imagenet2012 |
-| ssd-mobilenet 300x300 | [vision/classification_and_detection](vision/classification_and_detection) | tensorflow, pytorch, onnx| coco resized to 300x300 | 
-| ssd-resnet34 1200x1200 | [vision/classification_and_detection](vision/classification_and_detection) | tensorflow, pytorch, onnx | coco resized to 1200x1200|
-| bert | [language/bert](language/bert) | tensorflow, pytorch, onnx | squad-1.1 |
-| dlrm | [recommendation/dlrm](recommendation/dlrm/pytorch) | pytorch, tensorflow(?), onnx(?) | Criteo Terabyte |
-| 3d-unet | [vision/medical_imageing/3d-unet](vision/medical_imageing/3d-unet) | pytorch, tensorflow(?), onnx(?) | BraTS 2019 |
-| rnnt | [speech_recognition/rnnt](speech_recognition/rnnt) | pytorch | OpenSLR LibriSpeech Corpus |
-
-
-## MLPerf Inference v0.5
+## MLPerf Inference v0.7 (submission 9/18/2020)
+Use the r0.7 branch (```git checkout r0.7```) if you want to submit or reproduce v0.7 results.
 
 See the individual Readme files in the reference app for details.
 
 | model | reference app | framework | dataset |
 | ---- | ---- | ---- | ---- |
-| resnet50-v1.5 | [v0.5/classification_and_detection](https://github.com/mlperf/inference/tree/r0.5/v0.5/classification_and_detection) | tensorflow, pytorch, onnx | imagenet2012 |
-| mobilenet-v1 | [v0.5/classification_and_detection](https://github.com/mlperf/inference/tree/r0.5/v0.5/classification_and_detection) |tensorflow, pytorch, onnx | imagenet2012 |
-| ssd-mobilenet 300x300 | [v0.5/classification_and_detection](https://github.com/mlperf/inference/tree/r0.5/v0.5/classification_and_detection) |tensorflow, pytorch, onnx | coco resized to 300x300 |
-| ssd-resnet34 1200x1200 | [v0.5/classification_and_detection](https://github.com/mlperf/inference/tree/r0.5/v0.5/classification_and_detection) | tensorflow, pytorch, onnx | coco resized to 1200x1200 |
-| gnmt | [v0.5/translation/gnmt/](https://github.com/mlperf/inference/tree/r0.5/v0.5/translation/gnmt/tensorflow) | tensorflow, pytorch | See Readme |
+| resnet50-v1.5 | [vision/classification_and_detection](https://github.com/mlperf/inference/tree/r0.7/vision/classification_and_detection) | tensorflow, pytorch, onnx | imagenet2012 |
+| ssd-mobilenet 300x300 | [vision/classification_and_detection](https://github.com/mlperf/inference/tree/r0.7/vision/classification_and_detection) | tensorflow, pytorch, onnx| coco resized to 300x300 | 
+| ssd-resnet34 1200x1200 | [vision/classification_and_detection](https://github.com/mlperf/inference/tree/r0.7/vision/classification_and_detection) | tensorflow, pytorch, onnx | coco resized to 1200x1200|
+| bert | [language/bert](https://github.com/mlperf/inference/tree/r0.7/language/bert) | tensorflow, pytorch, onnx | squad-1.1 |
+| dlrm | [recommendation/dlrm](https://github.com/mlperf/inference/tree/r0.7/recommendation/dlrm/pytorch) | pytorch, tensorflow(?), onnx(?) | Criteo Terabyte |
+| 3d-unet | [vision/medical_imageing/3d-unet](https://github.com/mlperf/inference/tree/r0.7/vision/medical_imaging/3d-unet) | pytorch, tensorflow(?), onnx(?) | BraTS 2019 |
+| rnnt | [speech_recognition/rnnt](https://github.com/mlperf/inference/tree/r0.7/speech_recognition/rnnt) | pytorch | OpenSLR LibriSpeech Corpus |