chore: import upstream snapshot with attribution

scripts/check-torchcuda.py

@@ -0,0 +1,80 @@
+#!/usr/bin/env python3
+# Copyright (c) Microsoft Corporation.
+# SPDX-License-Identifier: Apache-2.0
+
+# DeepSpeed Team
+
+from __future__ import annotations
+'''Copyright The Microsoft DeepSpeed Team'''
+"""
+Checks each file in sys.argv for the string "torch.cuda".
+Modified from https://github.com/jlebar/pre-commit-hooks/blob/master/check_do_not_submit.py
+"""
+
+import subprocess
+import sys
+
+
+def err(s: str) -> None:
+    print(s, file=sys.stderr)
+
+
+print(*sys.argv[1:])
+
+# There are many ways we could search for the string "torch.cuda", but `git
+# grep --no-index` is nice because
+#  - it's very fast (as compared to iterating over the file in Python)
+#  - we can reasonably assume it's available on all machines
+#  - unlike plain grep, which is slower and has different flags on MacOS versus
+#    Linux, git grep is always the same.
+res = subprocess.run(
+    ["git", "grep", "-Hn", "--no-index", "-e", r"torch\.cuda", "--and", "--not", "-e", "#ignore-cuda", *sys.argv[1:]],
+    capture_output=True,
+)
+if res.returncode == 0:
+    err('Error: The string "torch.cuda" was found.\nPlease replace all calls to torch.cuda with "get_accelerator()" and add the following import line:\n\n    from deepspeed.accelerator import get_accelerator\n\nIf your code is mean to be cuda specific, please add the following comment in the line with torch.cuda:\n\n    #ignore-cuda\n'
+        )
+    err(res.stdout.decode("utf-8"))
+    sys.exit(1)
+elif res.returncode == 2:
+    err(f"Error invoking grep on {', '.join(sys.argv[1:])}:")
+    err(res.stderr.decode("utf-8"))
+    sys.exit(2)
+
+res = subprocess.run(
+    ["git", "grep", "-Hn", "--no-index", r"\.cuda()", *sys.argv[1:]],
+    capture_output=True,
+)
+if res.returncode == 0:
+    err('Error: The string ".cuda()" was found. This implies convert a tensor to cuda tensor.  Please replace all calls to tensor.cuda() with "tensor.to(get_accelerator().device_name())" and add the following import line:\nfrom deepspeed.accelerator import get_accelerator'
+        )
+    err(res.stdout.decode("utf-8"))
+    sys.exit(1)
+elif res.returncode == 2:
+    err(f"Error invoking grep on {', '.join(sys.argv[1:])}:")
+    err(res.stderr.decode("utf-8"))
+    sys.exit(2)
+
+files = []
+for file in sys.argv[1:]:
+    if file.endswith(".py"):
+        files.append(file)
+
+if len(files) > 0:
+    res = subprocess.run(
+        ["git", "grep", "-Hn", "--no-index", r"\.is_cuda", *files],
+        capture_output=True,
+    )
+    if res.returncode == 0:
+        err('''
+Error: The string ".is_cuda" was found. This implies checking if a tensor is a cuda tensor.
+       Please replace all calls to "tensor.is_cuda" with "get_accelerator().on_accelerator(tensor)",
+       and add the following import line:
+       'from deepspeed.accelerator import get_accelerator'
+''')
+        err(res.stdout.decode("utf-8"))
+        sys.exit(1)
+    elif res.returncode == 2:
+        err(f"Error invoking grep on {', '.join(files)}:")
+        err(res.stderr.decode("utf-8"))
+        sys.exit(2)