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guillaume-chevalier / LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
MIT License
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when I run the train_and_save.py,I got this error #34

Closed datamonday closed 4 years ago

datamonday commented 4 years ago

Traceback (most recent call last): File "D:/GraduationCode/LSTM-HAR-latest/train_and_save.py", line 11, in from neuraxle_tensorflow.tensorflow_v1 import TensorflowV1ModelStep ModuleNotFoundError: No module named 'neuraxle_tensorflow'

Thanks.

datamonday commented 4 years ago

yes,I konw,please download this first.https://github.com/Neuraxio/Neuraxle-TensorFlow

guillaume-chevalier commented 4 years ago

Yes, you can pip install neuraxle-tensorflow.

datamonday commented 4 years ago

@guillaume-chevalier Your method works, thank you for your reply.

I have been troubled by new errors these days and haven't found a solution. If you have time, can you check it for me? I just want to save the model and use it.Is it because I downloaded the wrong file train_and_save.py? I use the version of it from hereof Neuraxio:neuraxle-refactor.

Thank you again.

The error is here: Traceback (most recent call last):

File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\client\session.py", line 1365, in _do_call return fn(*args)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\client\session.py", line 1350, in _run_fn target_list, run_metadata)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\client\session.py", line 1443, in _call_tf_sessionrun run_metadata)

InvalidArgumentError: 2 root error(s) found. (0) Invalid argument: You must feed a value for placeholder tensor 'TensorflowV1ModelStep/expected_outputs' with dtype float and shape [?,6] [[{{node TensorflowV1ModelStep/expected_outputs}}]] [[TensorflowV1ModelStep/loss/_11]] (1) Invalid argument: You must feed a value for placeholder tensor 'TensorflowV1ModelStep/expected_outputs' with dtype float and shape [?,6] [[{{node TensorflowV1ModelStep/expected_outputs}}]] 0 successful operations. 0 derived errors ignored.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "D:\GraduationCode\LSTM-HAR-latest\train_and_save.py", line 165, in main()

File "D:\GraduationCode\LSTM-HAR-latest\train_and_save.py", line 150, in main pipeline, outputs = pipeline.fit_transform(data_inputs, expected_outputs)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 681, in fit_transform new_self, data_container = self.handle_fit_transform(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 188, in _fit_transform_data_container step, data_container = step.handle_fit_transform(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\steps\data.py", line 119, in _fit_transform_data_container self.wrapped = self.wrapped.handle_fit(data_container.copy(), context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 905, in handle_fit new_self = self._fit_data_container(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\metaopt\random.py", line 129, in _fit_data_container new_self, results_data_container = self._fit_transform_data_container(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\metaopt\random.py", line 144, in _fit_transform_data_container self.wrapped, results_data_container = self.wrapped.handle_fit_transform(train_data_container, context.push(self.wrapped))

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 1714, in _fit_transform_data_container self.wrapped, data_container = self.wrapped.handle_fit_transform(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 188, in _fit_transform_data_container step, data_container = step.handle_fit_transform(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 488, in handle_fit_transform context=context

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 628, in join_fit_transform step, data_container_batch = step._fit_transform_data_container(data_container_batch, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 188, in _fit_transform_data_container step, data_container = step.handle_fit_transform(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 1714, in _fit_transform_data_container self.wrapped, data_container = self.wrapped.handle_fit_transform(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 188, in _fit_transform_data_container step, data_container = step.handle_fit_transform(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 1016, in _fit_transform_data_container new_self, out = self.fit_transform(data_container.data_inputs, data_container.expected_outputs)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 1119, in fit_transform out = new_self.transform(data_inputs)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle_tensorflow\tensorflow_v1.py", line 160, in transform return self.transform_model(data_inputs)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle_tensorflow\tensorflow_v1.py", line 175, in transform_model results = self.session.run([self[inference_output_name], self['loss']], feed_dict=feed_dict)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\client\session.py", line 956, in run run_metadata_ptr)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\client\session.py", line 1180, in _run feed_dict_tensor, options, run_metadata)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\client\session.py", line 1359, in _do_run run_metadata)

File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\client\session.py", line 1384, in _do_call raise type(e)(node_def, op, message)

InvalidArgumentError: 2 root error(s) found. (0) Invalid argument: You must feed a value for placeholder tensor 'TensorflowV1ModelStep/expected_outputs' with dtype float and shape [?,6] [[node TensorflowV1ModelStep/expected_outputs (defined at C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\framework\ops.py:1748) ]] [[TensorflowV1ModelStep/loss/_11]] (1) Invalid argument: You must feed a value for placeholder tensor 'TensorflowV1ModelStep/expected_outputs' with dtype float and shape [?,6] [[node TensorflowV1ModelStep/expected_outputs (defined at C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\framework\ops.py:1748) ]] 0 successful operations. 0 derived errors ignored.

Original stack trace for 'TensorflowV1ModelStep/expected_outputs': File "C:\anaconda3\envs\tensorflow\lib\runpy.py", line 193, in _run_module_as_main "main", mod_spec) File "C:\anaconda3\envs\tensorflow\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\anaconda3\envs\tensorflow\lib\site-packages\spyder_kernels\console__main__.py", line 11, in start.main() File "C:\anaconda3\envs\tensorflow\lib\site-packages\spyder_kernels\console\start.py", line 318, in main kernel.start() File "C:\anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelapp.py", line 583, in start self.io_loop.start() File "C:\anaconda3\envs\tensorflow\lib\site-packages\tornado\platform\asyncio.py", line 153, in start self.asyncio_loop.run_forever() File "C:\anaconda3\envs\tensorflow\lib\asyncio\base_events.py", line 442, in run_forever self._run_once() File "C:\anaconda3\envs\tensorflow\lib\asyncio\base_events.py", line 1462, in _run_once handle._run() File "C:\anaconda3\envs\tensorflow\lib\asyncio\events.py", line 145, in _run self._callback(self._args) File "C:\anaconda3\envs\tensorflow\lib\site-packages\tornado\ioloop.py", line 690, in lambda f: self._run_callback(functools.partial(callback, future)) File "C:\anaconda3\envs\tensorflow\lib\site-packages\tornado\ioloop.py", line 743, in _run_callback ret = callback() File "C:\anaconda3\envs\tensorflow\lib\site-packages\tornado\gen.py", line 787, in inner self.run() File "C:\anaconda3\envs\tensorflow\lib\site-packages\tornado\gen.py", line 748, in run yielded = self.gen.send(value) File "C:\anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 361, in process_one yield gen.maybe_future(dispatch(args)) File "C:\anaconda3\envs\tensorflow\lib\site-packages\tornado\gen.py", line 209, in wrapper yielded = next(result) File "C:\anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 268, in dispatch_shell yield gen.maybe_future(handler(stream, idents, msg)) File "C:\anaconda3\envs\tensorflow\lib\site-packages\tornado\gen.py", line 209, in wrapper yielded = next(result) File "C:\anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 541, in execute_request user_expressions, allow_stdin, File "C:\anaconda3\envs\tensorflow\lib\site-packages\tornado\gen.py", line 209, in wrapper yielded = next(result) File "C:\anaconda3\envs\tensorflow\lib\site-packages\ipykernel\ipkernel.py", line 300, in do_execute res = shell.run_cell(code, store_history=store_history, silent=silent) File "C:\anaconda3\envs\tensorflow\lib\site-packages\ipykernel\zmqshell.py", line 536, in run_cell return super(ZMQInteractiveShell, self).run_cell(*args, *kwargs) File "C:\anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2858, in run_cell raw_cell, store_history, silent, shell_futures) File "C:\anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2886, in _run_cell return runner(coro) File "C:\anaconda3\envs\tensorflow\lib\site-packages\IPython\core\async_helpers.py", line 68, in _pseudo_sync_runner coro.send(None) File "C:\anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 3063, in run_cell_async interactivity=interactivity, compiler=compiler, result=result) File "C:\anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 3254, in run_ast_nodes if (await self.runcode(code, result, async=asy)): File "C:\anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 3331, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "", line 1, in runfile('D:/GraduationCode/LSTM-HAR-latest/train_and_save.py', wdir='D:/GraduationCode/LSTM-HAR-latest') File "C:\anaconda3\envs\tensorflow\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 476, in runfile exec_code(file_code, filename, ns_globals, ns_locals) File "C:\anaconda3\envs\tensorflow\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 377, in exec_code exec(compile(code, filename, 'exec'), ns_globals, ns_locals) File "D:\GraduationCode\LSTM-HAR-latest\train_and_save.py", line 165, in main() File "D:\GraduationCode\LSTM-HAR-latest\train_and_save.py", line 150, in main pipeline, outputs = pipeline.fit_transform(data_inputs, expected_outputs) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 681, in fit_transform new_self, data_container = self.handle_fit_transform(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 188, in _fit_transform_data_container step, data_container = step.handle_fit_transform(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\steps\data.py", line 119, in _fit_transform_data_container self.wrapped = self.wrapped.handle_fit(data_container.copy(), context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 905, in handle_fit new_self = self._fit_data_container(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\metaopt\random.py", line 129, in _fit_data_container new_self, results_data_container = self._fit_transform_data_container(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\metaopt\random.py", line 144, in _fit_transform_data_container self.wrapped, results_data_container = self.wrapped.handle_fit_transform(train_data_container, context.push(self.wrapped)) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 1714, in _fit_transform_data_container self.wrapped, data_container = self.wrapped.handle_fit_transform(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 188, in _fit_transform_data_container step, data_container = step.handle_fit_transform(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 488, in handle_fit_transform context=context File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 628, in join_fit_transform step, data_container_batch = step._fit_transform_data_container(data_container_batch, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 188, in _fit_transform_data_container step, data_container = step.handle_fit_transform(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 1714, in _fit_transform_data_container self.wrapped, data_container = self.wrapped.handle_fit_transform(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\base.py", line 922, in handle_fit_transform new_self, data_container = self._fit_transform_data_container(data_container, context) File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle\pipeline.py", line 187, in _fit_transform_data_container step.setup() File "C:\anaconda3\envs\tensorflow\lib\site-packages\neuraxle_tensorflow\tensorflow_v1.py", line 87, in setup model = self.create_model(self) File "D:\GraduationCode\LSTM-HAR-latest\train_and_save.py", line 28, in create_graph expected_outputs = tf.placeholder(tf.float32, [None, step.hyperparams['n_classes']], name='expected_outputs') File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\ops\array_ops.py", line 2619, in placeholder return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name) File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\ops\gen_array_ops.py", line 6669, in placeholder "Placeholder", dtype=dtype, shape=shape, name=name) File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\framework\op_def_library.py", line 794, in _apply_op_helper op_def=op_def) File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\util\deprecation.py", line 507, in new_func return func(args, **kwargs) File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\framework\ops.py", line 3357, in create_op attrs, op_def, compute_device) File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\framework\ops.py", line 3426, in _create_op_internal op_def=op_def) File "C:\anaconda3\envs\tensorflow\lib\site-packages\tensorflow_core\python\framework\ops.py", line 1748, in init self._traceback = tf_stack.extract_stack()