Add check env sub command

.github/ISSUE_TEMPLATE/1-bug-report.yml

@@ -25,6 +25,18 @@ body:
       A placeholder for the command.
   validations:
     required: true
+- type: textarea
+  attributes:
+    label: Environment
+    description: |
+      1. Please run `lmdeploy check_env` to collect necessary environment information and paste it here.
+      2. You may add addition that may be helpful for locating the problem, such as
+         - How you installed PyTorch \[e.g., pip, conda, source\]
+         - Other environment variables that may be related (such as `$PATH`, `$LD_LIBRARY_PATH`, `$PYTHONPATH`, etc.)
+    placeholder: Environment here.
+    render: Shell
+  validations:
+    required: true
 - type: textarea
   attributes:
     label: Error traceback

lmdeploy/cli/cli.py

@@ -1,4 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved.
+import os
+
 import fire
 
 from .chat import SubCliChat
@@ -77,6 +79,50 @@ def list(self, engine: str = 'turbomind'):
         print('Supported model names:')
         print('\n'.join(model_names))
 
+    def check_env(self, dump_file: str = None):
+        """Check env information.
+
+        Args:
+            dump_file (str): Output file to save env info.
+        """
+
+        import importlib
+
+        import mmengine
+        from mmengine.utils import get_git_hash
+        from mmengine.utils.dl_utils import collect_env
+
+        from lmdeploy.version import __version__
+
+        env_info = collect_env()
+        env_info['LMDeploy'] = __version__ + '+' + get_git_hash()[:7]
+
+        # remove some unnecessary info
+        remove_reqs = ['MMEngine', 'OpenCV']
+        for req in remove_reqs:
+            if req in env_info:
+                env_info.pop(req)
+
+        # extra important dependencies
+        extra_reqs = ['transformers', 'gradio', 'fastapi', 'pydantic']
+
+        for req in extra_reqs:
+            try:
+                env_info[req] = importlib.import_module(req).__version__
+            except Exception:
+                env_info[req] = 'Not Found'
+
+        # print env info
+        for k, v in env_info.items():
+            print(f'{k}: {v}')
+
+        # dump to local file
+        if dump_file is not None:
+            work_dir, _ = os.path.split(dump_file)
+            if work_dir:
+                os.makedirs(work_dir, exist_ok=True)
+            mmengine.dump(env_info, dump_file)
+
 
 def run():
     """The entry point of running LMDeploy CLI."""