0.2.0rc0

Summary: [release] 0.2.0rc0

Reviewed By: kiukchung

Differential Revision: D20928147

fbshipit-source-id: 76353ba286a31cb8e7a250fc80ae6d7189362fba

Author: aivanou

README.md

@@ -1,11 +1,11 @@
 [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](LICENSE)[![CircleCI](https://circleci.com/gh/pytorch/elastic.svg?style=svg&circle-token=9bea46e94adbe2f3e0fb2d4054b1b655f2e208c2)](https://circleci.com/gh/pytorch/elastic)
 
-# PyTorch Elastic
+# TorchElastic
 
-PyTorch Elastic allows you to launch distributed PyTorch jobs in a 
+TorchElastic allows you to launch distributed PyTorch jobs in a
 fault-tolerant and elastic manner.
-For the latest documentation, please refer to our 
-[website](https://pytorch.org/elastic). 
+For the latest documentation, please refer to our
+[website](https://pytorch.org/elastic).
 
 
 ## Requirements

examples/Dockerfile

@@ -1,4 +1,4 @@
-ARG BASE_IMAGE=pytorch/elastic:0.2.0.dev0
+ARG BASE_IMAGE=pytorch/elastic:0.2.0rc0
 FROM $BASE_IMAGE
 
 # install utilities and dependencies

requirements.txt

@@ -2,8 +2,8 @@
 # See https://github.com/pytorch/elastic/issues/39
 # For now you MUST manually install torch-1.5.0 nightly
 #  conda:     conda install pytorch torchvision -c pytorch
-#  pip (cpu): pip install torch -f https://download.pytorch.org/whl/test/cpu/torch_test.html
-#  pip (gpu): pip install torch -f https://download.pytorch.org/whl/test/cu101/torch_test.html
+#  pip (cpu): pip install torch==1.5.0 -f https://download.pytorch.org/whl/test/cpu/torch_test.html
+#  pip (gpu): pip install torch==1.5.0 -f https://download.pytorch.org/whl/test/cu101/torch_test.html
 #  pip (gpu): pip install --pre torch torchvision -f https://download.pytorch.org/whl/nightly/cu101/torch_nightly.html
 # See https://pytorch.org/
 

torchelastic/version.py

@@ -15,4 +15,4 @@
 # 0.1.0bN  # Beta release
 # 0.1.0rcN  # Release Candidate
 # 0.1.0  # Final release
-__version__ = "0.2.0.dev0"
+__version__ = "0.2.0rc0"