[Projects] Unify hyphen vs underscore handling for arguments (#6208)

doc/examples/parameter_server/.rayproject/project.yaml

@@ -13,7 +13,7 @@ environment:
 
 commands:
   - name: run-sync
-    command: python sync_parameter_server.py --num-workers {{num_workers}}
+    command: python sync_parameter_server.py --num-workers {{num-workers}}
     help: "Start the synchronous parameter server."
     params:
       - name: num-workers
@@ -24,7 +24,7 @@ commands:
       tmux: true
 
   - name: run-async
-    command: python async_parameter_server.py --num-workers {{num_workers}}
+    command: python async_parameter_server.py --num-workers {{num-workers}}
     help: "Start the asynchronous parameter server."
     params:
       - name: num-workers

doc/examples/resnet/.rayproject/cluster.yaml

@@ -1,22 +0,0 @@
-# This file is generated by `ray project create`.
-
-# A unique identifier for the head node and workers of this cluster.
-cluster_name: ray-example-resnet
-
-# The maximum number of workers nodes to launch in addition to the head
-# node. This takes precedence over min_workers. min_workers defaults to 0.
-max_workers: 1
-
-# Cloud-provider specific configuration.
-provider:
-    type: aws
-    region: us-west-2
-    availability_zone: us-west-2a
-
-head_node:
-    InstanceType: m5.2xlarge
-    ImageId: ami-0b294f219d14e6a82 # Deep Learning AMI (Ubuntu) Version 21.0
-
-# How Ray will authenticate with newly launched nodes.
-auth:
-    ssh_user: ubuntu

doc/examples/resnet/.rayproject/project.yaml

@@ -1,58 +0,0 @@
-# This file is generated by `ray project create`.
-
-name: ray-example-resnet
-
-description: "Using ray to train resnet on multiple gpus"
-tags: ["ray-example", "machine-learning", "tensorflow", "resnet"]
-documentation: https://ray.readthedocs.io/en/latest/auto_examples/plot_resnet.html
-
-cluster: .rayproject/cluster.yaml
-
-environment:
-  requirements: .rayproject/requirements.txt
-
-commands:
-  - name: train
-    command: |
-      if [ "{{dataset}}" == "cifar10" ]; then
-        # Get the CIFAR-10 dataset.
-        curl -o cifar-10-binary.tar.gz https://www.cs.toronto.edu/~kriz/cifar-10-binary.tar.gz;
-        tar -xvf cifar-10-binary.tar.gz;
-      else
-        # Get the CIFAR-100 dataset.
-        curl -o cifar-100-binary.tar.gz https://www.cs.toronto.edu/~kriz/cifar-100-binary.tar.gz;
-        tar -xvf cifar-100-binary.tar.gz;
-      fi
-      python resnet_main.py --dataset {{dataset}} --train_data_path {{train_data_path}} --eval_data_path {{eval_data_path}} --eval_dir {{eval_data_path}} --eval_batch_count {{eval_batch_count}} --num_gpus {{num_gpus}}
-    params:
-      - name: dataset
-        help: "The dataset to train on."
-        default: "cifar10"
-        choices: ["cifar10", "cifar100"]
-      - name: train-data-path
-        help: "Data path for the training data."
-        default: "'cifar-10-batches-bin/data_batch*'"
-        type: str
-      - name: eval-data-path
-        help: "Data path for the testing data."
-        default: "cifar-10-batches-bin/test_batch.bin"
-        type: str
-      - name: eval-dir
-        help: "Data path for the tensorboard logs."
-        default: "/tmp/resnet-model/eval"
-        type: str
-      - name: eval-batch-count
-        help: "Number of batches to evaluate over."
-        default: 50
-        type: int
-      - name: num-gpus
-        help: "Number of GPUs to use for training."
-        default: 0
-        type: int
-    config:
-      tmux: true
-
-output_files: [
-  # Save the logs from the latest run in snapshots.
-  "/tmp/ray/session_latest/logs"
-]

doc/examples/resnet/.rayproject/requirements.txt

@@ -1 +0,0 @@
-ray[rllib,debug]

doc/examples/streaming/.rayproject/project.yaml

@@ -12,7 +12,7 @@ environment:
 
 commands:
   - name: run
-    command: python streaming.py --num-mappers {{num_mappers}} --num-reducers {{num_reducers}}
+    command: python streaming.py --num-mappers {{num-mappers}} --num-reducers {{num-reducers}}
     help: "Start the streaming example."
     params:
       - name: num-mappers

python/ray/projects/projects.py

@@ -105,9 +105,9 @@ class ProjectDefinition:
                         "Parameter {} has type {} which is not supported. "
                         "Type must be one of {}".format(
                             name, param["type"], list(types.keys())))
-            parser.add_argument("--" + name, **param)
+            parser.add_argument("--" + name, dest=name, **param)
 
-        parsed_args = parser.parse_args(list(args)).__dict__
+        parsed_args = vars(parser.parse_args(list(args)))
 
         if wildcards:
             for key, val in parsed_args.items():