我从Timescale网站（https://timescaledata.blob.core.windows.net/datasets/devices_big.tar.gz）下载了一个示例数据集，然后按如下所示将其导入到DolphinDB中。
INFO:tensorflow:Restoring parameters from ./lenet
---------------------------------------------------------------------------
FailedPreconditionError 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:
6 frames
/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
FailedPreconditionError: Attempting to use uninitialized value Variable_14
[[{{node Variable_14/read}}]]
[[{{node mul_26}}]]
During handling of the above exception, another exception occurred:
FailedPreconditionError Traceback (most recent call last)
<ipython-input-34-3e0c62c51f1c> in <module>()
1 with tf.Session() as sess:
2 saver.restore(sess, './lenet')
----> 3 sess.run(accuracy*100, feed_dict={x: validation_data,y:validation_label_one_hot, is_testing: True})
/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):
FailedPreconditionError: Attempting to use uninitialized value Variable_14
[[node Variable_14/read (defined at <ipython-input-12-95a60851d74f>:1) ]]
[[node mul_26 (defined at <ipython-input-34-3e0c62c51f1c>:3) ]]
Caused by op 'Variable_14/read', 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-12-95a60851d74f>", line 1, in <module>
connection_probability = tf.Variable(.9999)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variables.py", line 213, in __call__
return cls._variable_v1_call(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variables.py", line 176, in _variable_v1_call
aggregation=aggregation)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variables.py", line 155, in <lambda>
previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variable_scope.py", line 2495, in default_variable_creator
expected_shape=expected_shape, import_scope=import_scope)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variables.py", line 217, in __call__
return super(VariableMetaclass, cls).__call__(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variables.py", line 1395, in __init__
constraint=constraint)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variables.py", line 1557, in _init_from_args
self._snapshot = array_ops.identity(self._variable, name="read")
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/dispatch.py", line 180, in wrapper
return target(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/array_ops.py", line 81, in identity
ret = gen_array_ops.identity(input, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 3890, in identity
"Identity", input=input, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
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/ops.py", line 3300, in create_op
op_def=op_def)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 1801, in __init__
self._traceback = tf_stack.extract_stack()
FailedPreconditionError (see above for traceback): Attempting to use uninitialized value Variable_14
[[node Variable_14/read (defined at <ipython-input-12-95a60851d74f>:1) ]]
[[node mul_26 (defined at <ipython-input-34-3e0c62c51f1c>:3) ]]
然后我想重播数据集，我在GUI中执行以下代码，
FP_DEVICES = 'C:/Users/xjqian/Downloads/devices_big/'
FP_INFO = FP_DEVICES + 'devices_big_device_info.csv'
FP_READINGS = FP_DEVICES + 'devices_big_readings.csv'
FP_DB = FP_DEVICES + 'db/'
COLS_INFO = `device_id`api_version`manufacturer`model`os_name
COLS_READINGS = `time`device_id`battery_level`battery_status`battery_temperature`bssid`cpu_avg_1min`cpu_avg_5min`cpu_avg_15min`mem_free`mem_used`rssi`ssid
TYPES_INFO = `SYMBOL`SYMBOL`SYMBOL`SYMBOL`SYMBOL
TYPES_READINGS = `DATETIME`SYMBOL`INT`SYMBOL`DOUBLE`SYMBOL`DOUBLE`DOUBLE`DOUBLE`LONG`LONG`SHORT`SYMBOL
schema_info = table(COLS_INFO, TYPES_INFO)
schema_readings = table(COLS_READINGS, TYPES_READINGS)
device_info = loadText(FP_INFO, , schema_info)
TIME_RANGE = 2016.11.15T00:00:00 + 86400 * 0..4
ID_RANGE = ('demo' + lpad((0..10 * 300)$STRING, 6, "0"))$SYMBOL
time_schema = database('', RANGE, TIME_RANGE)
id_schema = database('', RANGE, ID_RANGE)
db = database(FP_DB, COMPO, [time_schema, id_schema])
readings = loadTextEx(db, `readings, `time`device_id, FP_READINGS, , schema_readings)
我执行以下代码来一次又一次地显示结果，
readings = loadTable(FP_DB, `readings, , true)
share streamTable(10000000:0, schema_readings.COLS_READINGS, schema_readings.TYPES_READINGS) as output
enableTablePersistence(output, true, false, 1000000)
ds = replayDS(<select * from readings>, `time, );
replay([ds], [output], `time, `time, 1, 4)
submitJob("a", "a", replay, [ds], [output], `time, `time, , 4)
但是它总是返回0，即它不起作用。如何重播数据集？