launcher save pid + require manual triton install for sparse-attn (#1727)

deepspeed/launcher/runner.py

@@ -29,6 +29,7 @@ EXPORT_ENVS = ["NCCL", "PYTHON", "MV2", "UCX"]
 DEEPSPEED_ENVIRONMENT_NAME = ".deepspeed_env"
 DEEPSPEED_ENVIRONMENT_PATHS = [os.path.expanduser("~"), '.']
 PDSH_MAX_FAN_OUT = 1024
+PID_FILE_BASEPATH = "/tmp"
 
 
 def parse_args(args=None):
@@ -126,6 +127,13 @@ def parse_args(args=None):
                         help="Force multi-node launcher mode, helps in cases where user "
                         "wants to launch on single remote node.")
 
+    parser.add_argument(
+        "--save_pid",
+        action="store_true",
+        help="Save file containing launcher process id (pid) at /tmp/<main-pid>.ds, "
+        "where <main-pid> is the pid of the first process that invoked `deepspeed`. "
+        "Useful when launching deepspeed processes programmatically.")
+
     parser.add_argument(
         "--autotuning",
         default="",
@@ -428,8 +436,22 @@ def main(args=None):
 
     logger.info(f"cmd = {' '.join(cmd)}")
     result = subprocess.Popen(cmd, env=env)
+
+    pid_file = None
+    if args.save_pid:
+        main_pid = os.getpid()
+        launcher_pid = result.pid
+        pid_file = os.path.join(PID_FILE_BASEPATH, f"{main_pid}.deepspeed")
+        with open(pid_file, 'w') as fd:
+            fd.write(f"{launcher_pid}")
+
     result.wait()
 
+    if args.save_pid and pid_file is not None:
+        # clean-up saved pid file
+        if os.path.isfile(pid_file):
+            os.remove(pid_file)
+
     # In case of failure must propagate the error-condition back to the caller (usually shell). The
     # actual error and traceback should have been printed in the subprocess, so in order to avoid
     # unnecessary noise we just quietly exit here with the same code as the subprocess

op_builder/sparse_attn.py

@@ -3,6 +3,7 @@ Copyright 2020 The Microsoft DeepSpeed Team
 """
 import warnings
 from .builder import OpBuilder
+from packaging import version as pkg_version
 
 
 class SparseAttnBuilder(OpBuilder):
@@ -52,4 +53,20 @@ class SparseAttnBuilder(OpBuilder):
                 f'{self.NAME} requires a torch version >= 1.5 but detected {TORCH_MAJOR}.{TORCH_MINOR}'
             )
 
+        try:
+            import triton
+        except ImportError:
+            # auto-install of triton is broken on some systems, reverting to manual install for now
+            # see this issue: https://github.com/microsoft/DeepSpeed/issues/1710
+            self.warning(
+                f"please install triton==1.0.0 if you want to use sparse attention")
+            return False
+
+        installed_triton = pkg_version.parse(triton.__version__)
+        if installed_triton != pkg_version.parse("1.0.0"):
+            self.warning(
+                f"using untested triton version ({installed_triton}), only 1.0.0 is known to be compatible"
+            )
+            return False
+
         return super().is_compatible(verbose) and torch_compatible and cuda_compatible