本文针对的是本地安装vscode远程连接服务器上面的项目，首先明确你要改的是远端文件，也就是服务器上的文件，因为真正工作的调试器通常跑在服务器上的 ~/.vscode-server/extensions/... 目录。
找一下文件位置，执行：
bash
find ~/.vscode-server ~/.cursor-server -path '*/ms-python.debugpy-*/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_xml.py' 2>/dev/null找到文件路径：/disk2/***（你的用户名）/.vscode-server/extensions/ms-python.debugpy-***-linux-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_xml.py，先备份一下代码，执行备份命令：
bash
cp /disk2/***/.vscode-server/extensions/ms-python.debugpy-***-linux-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_xml.py /disk2/***/.vscode-server/extensions/ms-python.debugpy-***-linux-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_xml.py.bak然后确认一下备份成功：
bash
ls -l /disk2/wxr/.vscode-server/extensions/ms-python.debugpy-2025.18.0-linux-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_xml.py*你应该能看到两个文件：
pydevd_xml.pypydevd_xml.py.bak
打开pydevd_xml.py文件，找到def get_variable_details函数，替换成下面的版本：
python
def get_variable_details(val, evaluate_full_value=True, to_string=None, context: Optional[str] = None):
"""
:param context:
This is the context in which the variable is being requested. Valid values:
"watch",
"repl",
"hover",
"clipboard"
"""
try:
is_exception_on_eval = val.__class__ == ExceptionOnEvaluate
except:
is_exception_on_eval = False
if is_exception_on_eval:
v = val.result
else:
v = val
_type, type_name, resolver = get_type(v)
type_qualifier = getattr(_type, "__module__", "")
if not evaluate_full_value:
value = DEFAULT_VALUE
else:
try:
shape_info = ""
try:
# PyTorch Tensor
if hasattr_checked(v, "shape") and hasattr_checked(v, "dtype") and "torch" in type_qualifier:
try:
shape = tuple(v.shape)
except:
shape = v.shape
dtype = str(v.dtype)
shape_info = f"{{Tensor shape={shape}, dtype={dtype}}} "
# NumPy ndarray
elif hasattr_checked(v, "shape") and hasattr_checked(v, "dtype") and "numpy" in type_qualifier:
try:
shape = tuple(v.shape)
except:
shape = v.shape
dtype = str(v.dtype)
shape_info = f"{{ndarray shape={shape}, dtype={dtype}}} "
# Pandas DataFrame
elif "pandas.core.frame" in type_qualifier and hasattr_checked(v, "shape"):
try:
shape = tuple(v.shape)
except:
shape = v.shape
shape_info = f"{{DataFrame shape={shape}}} "
# Pandas Series
elif "pandas.core.series" in type_qualifier and hasattr_checked(v, "shape"):
try:
shape = tuple(v.shape)
except:
shape = v.shape
dtype = str(v.dtype) if hasattr_checked(v, "dtype") else "unknown"
shape_info = f"{{Series shape={shape}, dtype={dtype}}} "
# Other objects with shape
elif hasattr_checked(v, "shape"):
try:
shape = tuple(v.shape)
except:
shape = v.shape
shape_info = f"{{shape={shape}}} "
# Sized containers
elif hasattr_checked(v, "__len__"):
try:
length = len(v)
if type_name == "str":
shape_info = "{str} "
else:
shape_info = f"{{{type_name}: {length}}} "
except:
pass
except:
pass
str_from_provider = _str_from_providers(v, _type, type_name, context)
if str_from_provider is not None:
value = shape_info + str_from_provider
elif to_string is not None:
value = shape_info + to_string(v)
elif hasattr_checked(v, "__class__"):
if v.__class__ == frame_type:
value = pydevd_resolver.frameResolver.get_frame_name(v)
elif v.__class__ in (list, tuple):
if len(v) > 300:
value = "%s: %s" % (str(v.__class__), "<Too big to print. Len: %s>" % (len(v),))
else:
value = "%s: %s" % (str(v.__class__), v)
else:
try:
cName = str(v.__class__)
if cName.find(".") != -1:
cName = cName.split(".")[-1]
elif cName.find("'") != -1:
cName = cName[cName.index("'") + 1:]
if cName.endswith("'>"):
cName = cName[:-2]
except:
cName = str(v.__class__)
value = "%s: %s" % (cName, v)
if shape_info:
value = shape_info + value
else:
value = shape_info + str(v)
except:
try:
value = repr(v)
except:
value = "Unable to get repr for %s" % v.__class__
try:
if value.__class__ == bytes:
value = value.decode("utf-8", "replace")
except TypeError:
pass
return type_name, type_qualifier, is_exception_on_eval, resolver, value保存之后退出。
最后很重要：重启 VS Code 远程会话！！重启之后打开本地VSCode，按Ctrl + Shift + P输入并执行Developer: Reload Window重新连接一次服务器。
然后就和pycharm一样能看到tensor shape了：
