我有一个pandas数据框，其中一列包含电子邮件的正文，我正在尝试使用此tutorial对其进行编码。我已经成功地通过
对句子进行了编码module_url = "https://tfhub.dev/google/universal-sentence-encoder-large/3"
embed = hub.Module(module_url)
tf.logging.set_verbosity(tf.logging.ERROR)
messages = df['EmailBody'].tolist()[:50] #Why 50 explained below
with tf.Session() as session:
session.run([tf.global_variables_initializer(), tf.tables_initializer()])
message_embeddings = session.run(embed(messages))
现在，如果我从此处增加大小，它会开始泄漏内存，我还尝试通过以下方式批量运行它：
module_url = "https://tfhub.dev/google/universal-sentence-encoder-large/3"
embed = hub.Module(module_url)
tf.logging.set_verbosity(tf.logging.ERROR)
messages = df_RF_final['Preprocessed_EmailBody'].tolist()
message_embeddings = []
with tf.Session() as session:
session.run([tf.global_variables_initializer(), tf.tables_initializer()])
for i in range(int(len(messages)/100)):
message_embeddings.append(session.run(embed(messages[i*100:(1+1)*200])))
哪一个在底部给出了错误，我正在寻找一种实现方式，而不是必须通过列表，我可以传递一个生成器函数，如果无法使用生成器函数，则请修正第二个方法。
错误堆栈
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1333 try:
-> 1334 return fn(*args)
1335 except errors.OpError as e:
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _run_fn(feed_dict, fetch_list, target_list, options, run_metadata)
1318 return self._call_tf_sessionrun(
-> 1319 options, feed_dict, fetch_list, target_list, run_metadata)
1320
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _call_tf_sessionrun(self, options, feed_dict, fetch_list, target_list, run_metadata)
1406 self._session, options, feed_dict, fetch_list, target_list,
-> 1407 run_metadata)
1408
InvalidArgumentError: Requires start <= limit when delta > 0: 0/-2147483648
[[{{node module_3_apply_default_4/Encoder_en/Transformer/SequenceMask/Range}}]]
During handling of the above exception, another exception occurred:
InvalidArgumentError Traceback (most recent call last)
<ipython-input-13-d0c75bde4d87> in <module>()
7 session.run([tf.global_variables_initializer(), tf.tables_initializer()])
8 for i in range(int(len(messages)/100)):
----> 9 message_embeddings.append(session.run(embed(messages[i*100:(1+1)*200])))
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
927 try:
928 result = self._run(None, fetches, feed_dict, options_ptr,
--> 929 run_metadata_ptr)
930 if run_metadata:
931 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
1150 if final_fetches or final_targets or (handle and feed_dict_tensor):
1151 results = self._do_run(handle, final_targets, final_fetches,
-> 1152 feed_dict_tensor, options, run_metadata)
1153 else:
1154 results = []
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1326 if handle is None:
1327 return self._do_call(_run_fn, feeds, fetches, targets, options,
-> 1328 run_metadata)
1329 else:
1330 return self._do_call(_prun_fn, handle, feeds, fetches)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1346 pass
1347 message = error_interpolation.interpolate(message, self._graph)
-> 1348 raise type(e)(node_def, op, message)
1349
1350 def _extend_graph(self):
InvalidArgumentError: Requires start <= limit when delta > 0: 0/-2147483648
[[node module_3_apply_default_4/Encoder_en/Transformer/SequenceMask/Range (defined at /usr/local/lib/python3.6/dist-packages/tensorflow_hub/native_module.py:514) ]]
Caused by op 'module_3_apply_default_4/Encoder_en/Transformer/SequenceMask/Range', defined at:
File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/usr/local/lib/python3.6/dist-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/usr/local/lib/python3.6/dist-packages/ipykernel/kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "/usr/local/lib/python3.6/dist-packages/tornado/ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "/usr/local/lib/python3.6/dist-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/zmq/eventloop/zmqstream.py", line 450, in _handle_events
self._handle_recv()
File "/usr/local/lib/python3.6/dist-packages/zmq/eventloop/zmqstream.py", line 480, in _handle_recv
self._run_callback(callback, msg)
File "/usr/local/lib/python3.6/dist-packages/zmq/eventloop/zmqstream.py", line 432, in _run_callback
callback(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/kernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py", line 2718, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py", line 2822, in run_ast_nodes
if self.run_code(code, result):
File "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py", line 2882, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-13-d0c75bde4d87>", line 9, in <module>
message_embeddings.append(session.run(embed(messages[i*100:(1+1)*200])))
File "/usr/local/lib/python3.6/dist-packages/tensorflow_hub/module.py", line 247, in __call__
name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_hub/native_module.py", line 514, in create_apply_graph
import_scope=relative_scope_name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py", line 1435, in import_meta_graph
meta_graph_or_file, clear_devices, import_scope, **kwargs)[0]
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py", line 1457, in _import_meta_graph_with_return_elements
**kwargs))
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/meta_graph.py", line 806, in import_scoped_meta_graph_with_return_elements
return_elements=return_elements)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/importer.py", line 442, in import_graph_def
_ProcessNewOps(graph)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/importer.py", line 235, in _ProcessNewOps
for new_op in graph._add_new_tf_operations(compute_devices=False): # pylint: disable=protected-access
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 3433, in _add_new_tf_operations
for c_op in c_api_util.new_tf_operations(self)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 3433, in <listcomp>
for c_op in c_api_util.new_tf_operations(self)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 3325, in _create_op_from_tf_operation
ret = Operation(c_op, self)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 1801, in __init__
self._traceback = tf_stack.extract_stack()
InvalidArgumentError (see above for traceback): Requires start <= limit when delta > 0: 0/-2147483648
[[node module_3_apply_default_4/Encoder_en/Transformer/SequenceMask/Range (defined at /usr/local/lib/python3.6/dist-packages/tensorflow_hub/native_module.py:514) ]]
答案 0 :(得分：0)
我遇到了类似的问题，与“ Strongly increasing memory consumption when using ELMo from Tensorflow-Hub”非常相似。 arnoegw here给了我很好的答案。
简而言之，由于您正在使用tf.session，因此您正在使用TF.v1编程模型。这意味着您首先要构建数据流，然后重复运行它，即，输入数据并从图形中获取输出。但是，您仍在向图中添加hub.Module的新应用程序。而不是一次使用图形。
根据答案实施此操作的正确方法是：
tf.logging.set_verbosity(tf.logging.ERROR)
messages = df_RF_final['Preprocessed_EmailBody'].tolist()
message_embeddings = []
with hub.eval_function_for_module("https://tfhub.dev/google/universal-sentence-encoder-large/3") as embed:
for i in range(int(len(messages)/100)):
message_embeddings.append(embed(messages[i*100:(1+1)*200])