Merge branch 'main' into doc/word_language_model

.github/workflows/doc-build.yml

@@ -1,17 +1,20 @@
 name: Doc Build
 
-on:
+on:  
   push:
     branches:
       - main
-
+  workflow_dispatch:
 
 jobs:
   build_docs_job:
     runs-on: ubuntu-latest
+    # Grant write permission here so that the doc can be pushed to gh-pages branch
+    permissions:
+      contents: write
     strategy:
       matrix:
-        python-version: [3.6]
+        python-version: [3.9]
     steps:
     - name: Checkout
       uses: actions/checkout@v2

.github/workflows/main_cpp.yml

@@ -1,4 +1,4 @@
-name: Run Examples
+name: Run CPP Examples
 
 on:
   push:

.github/workflows/main_python.yml

@@ -1,4 +1,4 @@
-name: Run Examples
+name: Run Python Examples
 
 on:
   push:

run_cpp_examples.sh

@@ -156,9 +156,12 @@ function clean() {
 function run_all() {
   autograd
   custom-dataset
-  dcgan
-  mnist
   regression
+
+  # dataset 503 error on yanns site
+  # dcgan
+  # mnist
+
 }
 
 # by default, run all examples

run_distributed_examples.sh

@@ -10,13 +10,8 @@
 # to pip install dependencies (other than pytorch), run all examples, and remove temporary/changed data files.
 # Expects pytorch, torchvision to be installed.
 
-BASE_DIR=`pwd`"/"`dirname $0`
-EXAMPLES=`echo $1 | sed -e 's/ //g'`
-
-# Redirect 'python' calls to 'python3'
-python() {
-    command python3 "$@"
-}
+BASE_DIR="$(pwd)/$(dirname $0)"
+source $BASE_DIR/utils.sh
 
 USE_CUDA=$(python -c "import torch; print(torch.cuda.is_available())")
 case $USE_CUDA in
@@ -35,33 +30,12 @@ case $USE_CUDA in
     ;;
 esac
 
-ERRORS=""
-
-function error() {
-  ERR=$1
-  ERRORS="$ERRORS\n$ERR"
-  echo $ERR
-}
-
-function install_deps() {
-  echo "installing requirements"
-  cat $BASE_DIR/*/requirements.txt | \
-    sort -u | \
-    # testing the installed version of torch, so don't pip install it.
-    grep -vE '^torch$' | \
-    pip install -r /dev/stdin || \
-    { error "failed to install dependencies"; exit 1; }
-}
-
-function start() {
-  EXAMPLE=${FUNCNAME[1]}
-  cd $BASE_DIR/$EXAMPLE
-  echo "Running example: $EXAMPLE"
-}
-
 function distributed() {
     start
-    torchrun --standalone --nnodes=1 --nproc_per_node=4 tensor_parallelism/fsdp_tp_example.py
+    bash tensor_parallelism/run_example.sh tensor_parallelism/tensor_parallel_example.py || error "tensor parallel example failed"
+    bash tensor_parallelism/run_example.sh tensor_parallelism/sequence_parallel_example.py || error "sequence parallel example failed"
+    bash tensor_parallelism/run_example.sh tensor_parallelism/fsdp_tp_example.py || error "2D parallel example failed"
+    python ddp/main.py || error "ddp example failed"
 }
 
 function clean() {
@@ -88,8 +62,8 @@ fi
 if [ "" == "$ERRORS" ]; then
   echo "Completed successfully with status $?"
 else
-  echo "Some examples failed:"
-  printf "$ERRORS"
+  echo "Some distributed examples failed:"
+  printf "$ERRORS\n"
   #Exit with error (0-255) in case of failure in one of the tests.
   exit 1
 

run_python_examples.sh

@@ -10,13 +10,8 @@
 # to pip install dependencies (other than pytorch), run all examples, and remove temporary/changed data files.
 # Expects pytorch, torchvision to be installed.
 
-BASE_DIR=`pwd`"/"`dirname $0`
-EXAMPLES=`echo $1 | sed -e 's/ //g'`
-
-# Redirect 'python' calls to 'python3'
-python() {
-    command python3 "$@"
-}
+BASE_DIR="$(pwd)/$(dirname $0)"
+source $BASE_DIR/utils.sh
 
 USE_CUDA=$(python -c "import torchvision, torch; print(torch.cuda.is_available())")
 case $USE_CUDA in
@@ -35,43 +30,11 @@ case $USE_CUDA in
     ;;
 esac
 
-ERRORS=""
-
-function error() {
-  ERR=$1
-  ERRORS="$ERRORS\n$ERR"
-  echo $ERR
-}
-
-function install_deps() {
-  echo "installing requirements"
-  cat $BASE_DIR/*/requirements.txt | \
-    sort -u | \
-    # testing the installed version of torch, so don't pip install it.
-    grep -vE '^torch$' | \
-    pip install -r /dev/stdin || \
-    { error "failed to install dependencies"; exit 1; }
-}
-
-function start() {
-  EXAMPLE=${FUNCNAME[1]}
-  cd $BASE_DIR/$EXAMPLE
-  echo "Running example: $EXAMPLE"
-}
-
 function dcgan() {
   start
   python main.py --dataset fake $CUDA_FLAG --mps --dry-run || error "dcgan failed"
 }
 
-function distributed() {
-    start
-    python tensor_parallelism/tensor_parallel_example.py || error "tensor parallel example failed"
-    python tensor_parallelism/sequence_parallel_example.py || error "sequence parallel example failed"
-    python tensor_parallelism/fsdp_tp_example.py || error "2D parallel example failed"
-    python ddp/main.py || error "ddp example failed"
-}
-
 function fast_neural_style() {
   start
   if [ ! -d "saved_models" ]; then
@@ -223,9 +186,9 @@ function clean() {
 }
 
 function run_all() {
-  # cpp
+  # cpp moved to `run_cpp_examples.sh```
   dcgan
-  distributed
+  # distributed moved to `run_distributed_examples.sh`
   fast_neural_style
   imagenet
   language_translation
@@ -261,8 +224,8 @@ fi
 if [ "" == "$ERRORS" ]; then
   echo "Completed successfully with status $?"
 else
-  echo "Some examples failed:"
-  printf "$ERRORS"
+  echo "Some python examples failed:"
+  printf "$ERRORS\n"
   #Exit with error (0-255) in case of failure in one of the tests.
   exit 1
 

utils.sh

@@ -0,0 +1,38 @@
+#!/usr/bin/env bash
+# This script contains utility functions and initialize exmaple scripts.
+# Eg: run_python_examples.sh, run_distributed_examples.sh
+
+BASE_DIR="$(pwd)/$(dirname $0)"
+EXAMPLES=$(echo $1 | sed -e 's/ //g')
+
+# Redirect 'python' calls to 'python3'
+python() {
+    command python3 "$@"
+}
+
+ERRORS=${ERRORS-""}
+
+function error() {
+  ERR=$1
+  if [ "" == "$ERRORS" ]; then
+    ERRORS="$ERR"
+  else
+    ERRORS="$ERRORS\n$ERR"
+  fi
+}
+
+function install_deps() {
+  echo "installing requirements"
+  cat $BASE_DIR/*/requirements.txt | \
+    sort -u | \
+    # testing the installed version of torch, so don't pip install it.
+    grep -vE '^torch$' | \
+    pip install -r /dev/stdin || \
+    { error "failed to install dependencies"; exit 1; }
+}
+
+function start() {
+  EXAMPLE=${FUNCNAME[1]}
+  cd $BASE_DIR/$EXAMPLE
+  echo "Running example: $EXAMPLE"
+}