Add --skip to install.py (#2314)

Summary:
Use `--skip` to skip the install of certain models.

Fixes #2308

Pull Request resolved: #2314

Test Plan:
```
$ python install.py hf_Bert hf_Bart yolov3 --skip hf_Bert yolov3
checking packages torch, torchvision, torchaudio are installed...OK
running setup for /Users/xzhao9/git/benchmark/torchbenchmark/models/hf_Bart...OK
```

Reviewed By: eellison

Differential Revision: D58767785

Pulled By: xuzhao9

fbshipit-source-id: 5fcf5d539dda322e86bc6c2ae86b37e288ec71ad

install.py

@@ -38,6 +38,22 @@ def pip_install_requirements(requirements_txt="requirements.txt"):
         action="store_true",
         help="Run in test mode and check package versions",
     )
+    parser.add_argument(
+        "--skip",
+        nargs="*",
+        default=[],
+        help="Skip models to install."
+    )
+    parser.add_argument(
+        "--torch",
+        action="store_true",
+        help="Only require torch to be installed, ignore torchvision and torchaudio."
+    )
+    parser.add_argument(
+        "--numpy",
+        action="store_true",
+        help="Only require numpy to be installed, ignore torch, torchvision and torchaudio."
+    )
     parser.add_argument("--canary", action="store_true", help="Install canary model.")
     parser.add_argument("--continue_on_fail", action="store_true")
     parser.add_argument("--verbose", "-v", action="store_true")
@@ -50,13 +66,15 @@ def pip_install_requirements(requirements_txt="requirements.txt"):
 
     os.chdir(os.path.realpath(os.path.dirname(__file__)))
 
+    if args.torch or args.userbenchmark:
+        TORCH_DEPS = ["numpy", "torch"]
+    if args.numpy:
+        TORCH_DEPS = ["numpy"]
     print(
         f"checking packages {', '.join(TORCH_DEPS)} are installed...",
         end="",
         flush=True,
     )
-    if args.userbenchmark:
-        TORCH_DEPS = ["torch"]
     try:
         versions = get_pkg_versions(TORCH_DEPS)
     except ModuleNotFoundError as e:
@@ -88,6 +106,7 @@ def pip_install_requirements(requirements_txt="requirements.txt"):
 
     success &= setup(
         models=args.models,
+        skip_models=args.skip,
         verbose=args.verbose,
         continue_on_fail=args.continue_on_fail,
         test_mode=args.test_mode,

torchbenchmark/__init__.py

@@ -156,7 +156,8 @@ def _is_canary_model(model_name: str) -> bool:
 
 
 def setup(
-    models: List[str] = [],
+    models: Optional[List[str]] = None,
+    skip_models: Optional[List[str]] = None,
     verbose: bool = True,
     continue_on_fail: bool = False,
     test_mode: bool = False,
@@ -175,6 +176,8 @@ def setup(
         )
         model_paths = list(model_paths)
         model_paths.extend(canary_model_paths)
+    skip_models = [] if not skip_models else skip_models
+    model_paths = [ x for x in model_paths if os.path.basename(x) not in skip_models ]
     for model_path in model_paths:
         print(f"running setup for {model_path}...", end="", flush=True)
         if test_mode:

utils/__init__.py

@@ -2,7 +2,7 @@
 import sys
 from typing import Dict, List
 
-TORCH_DEPS = ["torch", "torchvision", "torchaudio"]
+TORCH_DEPS = ["numpy", "torch", "torchvision", "torchaudio"]
 
 
 class add_path: