Amazon sagemaker SyntaxError（亚马逊sagemaker股票预测/dbg定制rnn.ipython）
我正在SageMaker笔记本实例上运行下面的代码单元。有关更多信息，请参阅我在GitHub上发布的错误链接： 我发现了下面的错误：Amazon sagemaker SyntaxError（亚马逊sagemaker股票预测/dbg定制rnn.ipython）,amazon-sagemaker,predictive,Amazon Sagemaker,Predictive,我正在SageMaker笔记本实例上运行下面的代码单元。有关更多信息，请参阅我在GitHub上发布的错误链接： 我发现了下面的错误： Parameter image_name will be renamed to image_uri in SageMaker Python SDK v2. 's3_input' class will be renamed to 'TrainingInput' in SageMaker Python SDK v2. 2020-08-12 15:58:15 Start
Parameter image_name will be renamed to image_uri in SageMaker Python SDK v2.
's3_input' class will be renamed to 'TrainingInput' in SageMaker Python SDK v2.
2020-08-12 15:58:15 Starting - Starting the training job...
2020-08-12 15:58:17 Starting - Launching requested ML instances......
2020-08-12 15:59:38 Starting - Preparing the instances for training...
2020-08-12 16:00:16 Downloading - Downloading input data...
2020-08-12 16:00:22 Training - Downloading the training image...
2020-08-12 16:01:13 Uploading - Uploading generated training model.2020-08-12 16:01:08.786584: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-08-12 16:01:08.786650: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Starting the training.
Hyperparameters file : {"target_stock": "BMW", "lag": "10", "interval": "D", "batch_size": "4096", "covariate_columns": "StartPrice, MinPrice, MaxPrice", "percent_train": "85.0", "covariate_stocks": "CON, DAI, PAH3, VOW3", "dropout_ratio": "0.1", "num_epochs": "1000", "target_column": "EndPrice", "horizon": "5", "num_units": "256"}
Hyperparameters initialized
Loading data from : /opt/ml/input/data/training/resampled_stockdata.csv
Loading data from : /opt/ml/input/data/training/resampled_stockdata.csv
Training data loaded
100 Stock symbols found.
Records for 65 trading days found.
0-CON#0111-DAI#0112-PAH3#0113-VOW3
Exception during training: invalid syntax (core.py, line 314)
Traceback (most recent call last):
File "/opt/program/train", line 255, in train
traindata.to_csv(os.path.join(model_path, trainfile))
File "/usr/local/lib/python3.5/dist-packages/pandas/core/generic.py", line 3020, in to_csv
formatter.save()
File "/usr/local/lib/python3.5/dist-packages/pandas/io/formats/csvs.py", line 157, in save
compression=self.compression)
File "/usr/local/lib/python3.5/dist-packages/pandas/io/common.py", line 344, in _get_handle
from s3fs import S3File
File "/usr/local/lib/python3.5/dist-packages/s3fs/__init__.py", line 1, in <module>
from .core import S3FileSystem, S3File
File "/usr/local/lib/python3.5/dist-packages/s3fs/core.py", line 8, in <module>
from fsspec import AbstractFileSystem
File "/usr/local/lib/python3.5/dist-packages/fsspec/__init__.py", line 10, in <module>
from .mapping import FSMap, get_mapper
File "/usr/local/lib/python3.5/dist-packages/fsspec/mapping.py", line 2, in <module>
from .core import url_to_fs
File "/usr/local/lib/python3.5/dist-packages/fsspec/core.py", line 314
out[0] = (f"{out[0][1]}://", out[0][1], out[0][2])
^
SyntaxError: invalid syntax
2020-08-12 16:01:19 Failed - Training job failed
UnexpectedStatusException Traceback (most recent call last)
<timed exec> in <module>
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/estimator.py in fit(self, inputs, wait, logs, job_name, experiment_config)
497 self.jobs.append(self.latest_training_job)
498 if wait:
--> 499 self.latest_training_job.wait(logs=logs)
500
501 def _compilation_job_name(self):
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/estimator.py in wait(self, logs)
1114 # If logs are requested, call logs_for_jobs.
1115 if logs != "None":
-> 1116 self.sagemaker_session.logs_for_job(self.job_name, wait=True, log_type=logs)
1117 else:
1118 self.sagemaker_session.wait_for_job(self.job_name)
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/session.py in logs_for_job(self, job_name, wait, poll, log_type)
3075
3076 if wait:
-> 3077 self._check_job_status(job_name, description, "TrainingJobStatus")
3078 if dot:
3079 print()
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/session.py in _check_job_status(self, job, desc, status_key_name)
2669 ),
2670 allowed_statuses=,
-> 2671 actual_status=status,
2672 )
2673
UnexpectedStatusException: Error for Training job dbg-custom-rnn-D-BMW-2020-08-12-15-58-15-812: Failed. Reason: AlgorithmError: Exception during training: invalid syntax (core.py, line 314)
Traceback (most recent call last):
File "/opt/program/train", line 255, in train
traindata.to_csv(os.path.join(model_path, trainfile))
File "/usr/local/lib/python3.5/dist-packages/pandas/core/generic.py", line 3020, in to_csv
formatter.save()
File "/usr/local/lib/python3.5/dist-packages/pandas/io/formats/csvs.py", line 157, in save
compression=self.compression)
File "/usr/local/lib/python3.5/dist-packages/pandas/io/common.py", line 344, in _get_handle
from s3fs import S3File
File "/usr/local/lib/python3.5/dist-packages/s3fs/__init__.py", line 1, in <module>
from .core import S3FileSystem, S3File
File "/usr/local/lib/python3.5/dist-packages/s3fs/core.py", line 8, in <module>
from fsspec import AbstractFileSystem
File "/usr/local/lib/python3.5/dist-packages/fsspec/__init__.py", line 10, in <module>
from .mapping import FSMap, get_mapper
File "/usr/local/lib/python3.5/dist-packages/fsspec/map
参数image\u name将重命名为image\u uri。
在SageMaker Python SDK v2中，“s3_输入”类将重命名为“TrainingInput”。
2020-08-12 15:58:15开始-开始培训工作。。。
2020-08-12 15:58:17开始-启动请求的ML实例。。。。。。
2020-08-12 15:59:38开始-准备训练实例。。。
2020-08-12 16:00:16下载-下载输入数据。。。
2020-08-12 16:00:22培训-下载培训图片。。。
2020-08-12 16:01:13上传-上传生成的培训模型。2020-08-12 16:01:08.786584:W tensorflow/stream_executor/platform/default/dso_loader.cc:59]无法加载动态库“libcudart.so.10.1”；dlerror:libcudart.so.10.1:无法打开共享对象文件：没有此类文件或目录
2020-08-12 16:01:08.786650:I tensorflow/stream_executor/cuda/cudart_stub.cc:29]如果您的机器上没有设置GPU，请忽略上面的cudart数据错误。
开始训练。
超参数文件：{“目标股票”：“BMW”，“滞后”：“10”，“区间”：“D”，“批量大小”：“4096”，“协变量列”：“起始价格，最低价格，最高价格”，“百分比列”：“85.0”，“协变量股票”：“CON，DAI，PAH3，VOW3”，“辍学率”：“0.1”，“数量纪元”：“1000”，“目标列”：“最终价格”，“地平线”：“5”，“数量单位”：“256”
超参数已初始化
从加载数据：/opt/ml/input/data/training/resampled_stockdata.csv
从加载数据：/opt/ml/input/data/training/resampled_stockdata.csv
加载的训练数据
找到100个股票符号。
发现65个交易日的记录。
0-CON#0111-DAI#0112-PAH3#0113-3
培训期间出现异常：无效语法（core.py，第314行）
回溯（最近一次呼叫最后一次）：
文件“/opt/program/train”，第255行，列车中
traindata.to_csv（os.path.join（model_path，trainfile））
文件“/usr/local/lib/python3.5/dist-packages/pandas/core/generic.py”，第3020行，输入到csv
格式化程序。保存（）
文件“/usr/local/lib/python3.5/dist-packages/pandas/io/formats/csvs.py”，第157行，保存
压缩=自压缩）
文件“/usr/local/lib/python3.5/dist-packages/pandas/io/common.py”，第344行，在获取句柄中
从s3fs导入S3F文件
文件“/usr/local/lib/python3.5/dist-packages/s3fs/_init__;u.py”，第1行，在
从.core导入S3文件系统，S3文件
文件“/usr/local/lib/python3.5/dist-packages/s3fs/core.py”，第8行，在
从fsspec导入抽象文件系统
文件“/usr/local/lib/python3.5/dist-packages/fsspec/_init__.py”，第10行，在
从.mapping导入FSMap，获取
文件“/usr/local/lib/python3.5/dist-packages/fsspec/mapping.py”，第2行，在
从.core导入url\u到\u fs
文件“/usr/local/lib/python3.5/dist-packages/fsspec/core.py”，第314行
out[0]=（f“{out[0][1]}://”，out[0][1]，out[0][2]）
^
SyntaxError:无效语法
2020-08-12 16:01:19失败-培训工作失败
意外状态异常回溯（最后一次最近调用）
在里面
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/estimator.py合适（self、输入、等待、日志、作业名称、实验配置）
497 self.jobs.append（self.latest\u training\u job）
498如果等待：
-->499自我。最新的培训工作。等待（日志=日志）
500
501定义编译作业名称（自我）：
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/estimator.py正在等待（self，日志）
1114#如果请求日志，请调用日志以获取作业。
1115如果记录！=“无”：
->1116 self.sagemaker\u session.logs\u for\u job（self.job\u name，wait=True，log\u type=logs）
1117其他：
1118 self.sagemaker会话。等待作业（self.job\u名称）
作业日志中的~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/session.py（self、作业名称、等待、轮询、日志类型）
3075
3076如果等待：
->3077自我检查工作状态（工作名称、描述，“培训工作状态”）
3078如果dot：
3079印刷品（）
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/session.py in\u check\u job\u status（self、job、desc、status\u key\u name）
2669 ),
2670允许的_状态=，
->2671实际状态=状态，
2672 )
2673
意外状态异常：培训作业dbg-custom-rnn-D-BMW-2020-08-12-15-58-15-812错误：失败。原因：AlgorithmError:培训期间异常：无效语法（core.py，第314行）
回溯（最近一次呼叫最后一次）：
文件“/opt/program/train”，第255行，列车中
traindata.to_csv（os.path.join（model_path，trainfile））
文件“/usr/local/lib/python3.5/dist-packages/pandas/core/generic.py”，第3020行，输入到csv
格式化程序。保存（）
文件“/usr/local/lib/python3.5/dist-packages/pandas/io/formats/csvs.py”，第157行，保存
压缩=自压缩）
文件“/usr/local/lib/python3.5/dist-packages/pandas/io/common.py”，第344行，在获取句柄中
从s3fs导入S3F文件
文件“/usr/local/lib/python3.5/dist-packages/s3fs/_init__;u.py”，第1行，在
从.core导入S3文件系统，S3文件
文件“/usr/local/lib/python3.5/dist-packages/s3fs/core.py”，第8行，在
从fsspec导入抽象文件系统
文件“/usr/local/lib/python3.5/dist-packages/fsspec/_init__.py”，第10行，在
从.mapping导入FSMap，获取
文件“/usr/local/lib/python3.5/dist-packages/fsspec/map
非常感谢！将s3\U输入重命名为TrainingInput并删除警告消息。
可能这将帮助您虽然此链接可以回答问题，但最好在此处包含答案的基本部分并提供链接供参考。如果链接页面发生更改，则只有链接的答案可能会无效。-谢谢，我将再次运行此链接
Parameter image_name will be renamed to image_uri in SageMaker Python SDK v2.
's3_input' class will be renamed to 'TrainingInput' in SageMaker Python SDK v2.
2020-08-12 15:58:15 Starting - Starting the training job...
2020-08-12 15:58:17 Starting - Launching requested ML instances......
2020-08-12 15:59:38 Starting - Preparing the instances for training...
2020-08-12 16:00:16 Downloading - Downloading input data...
2020-08-12 16:00:22 Training - Downloading the training image...
2020-08-12 16:01:13 Uploading - Uploading generated training model.2020-08-12 16:01:08.786584: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-08-12 16:01:08.786650: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Starting the training.
Hyperparameters file : {"target_stock": "BMW", "lag": "10", "interval": "D", "batch_size": "4096", "covariate_columns": "StartPrice, MinPrice, MaxPrice", "percent_train": "85.0", "covariate_stocks": "CON, DAI, PAH3, VOW3", "dropout_ratio": "0.1", "num_epochs": "1000", "target_column": "EndPrice", "horizon": "5", "num_units": "256"}
Hyperparameters initialized
Loading data from : /opt/ml/input/data/training/resampled_stockdata.csv
Loading data from : /opt/ml/input/data/training/resampled_stockdata.csv
Training data loaded
100 Stock symbols found.
Records for 65 trading days found.
0-CON#0111-DAI#0112-PAH3#0113-VOW3
Exception during training: invalid syntax (core.py, line 314)
Traceback (most recent call last):
File "/opt/program/train", line 255, in train
traindata.to_csv(os.path.join(model_path, trainfile))
File "/usr/local/lib/python3.5/dist-packages/pandas/core/generic.py", line 3020, in to_csv
formatter.save()
File "/usr/local/lib/python3.5/dist-packages/pandas/io/formats/csvs.py", line 157, in save
compression=self.compression)
File "/usr/local/lib/python3.5/dist-packages/pandas/io/common.py", line 344, in _get_handle
from s3fs import S3File
File "/usr/local/lib/python3.5/dist-packages/s3fs/__init__.py", line 1, in <module>
from .core import S3FileSystem, S3File
File "/usr/local/lib/python3.5/dist-packages/s3fs/core.py", line 8, in <module>
from fsspec import AbstractFileSystem
File "/usr/local/lib/python3.5/dist-packages/fsspec/__init__.py", line 10, in <module>
from .mapping import FSMap, get_mapper
File "/usr/local/lib/python3.5/dist-packages/fsspec/mapping.py", line 2, in <module>
from .core import url_to_fs
File "/usr/local/lib/python3.5/dist-packages/fsspec/core.py", line 314
out[0] = (f"{out[0][1]}://", out[0][1], out[0][2])
^
SyntaxError: invalid syntax
2020-08-12 16:01:19 Failed - Training job failed
UnexpectedStatusException Traceback (most recent call last)
<timed exec> in <module>
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/estimator.py in fit(self, inputs, wait, logs, job_name, experiment_config)
497 self.jobs.append(self.latest_training_job)
498 if wait:
--> 499 self.latest_training_job.wait(logs=logs)
500
501 def _compilation_job_name(self):
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/estimator.py in wait(self, logs)
1114 # If logs are requested, call logs_for_jobs.
1115 if logs != "None":
-> 1116 self.sagemaker_session.logs_for_job(self.job_name, wait=True, log_type=logs)
1117 else:
1118 self.sagemaker_session.wait_for_job(self.job_name)
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/session.py in logs_for_job(self, job_name, wait, poll, log_type)
3075
3076 if wait:
-> 3077 self._check_job_status(job_name, description, "TrainingJobStatus")
3078 if dot:
3079 print()
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/session.py in _check_job_status(self, job, desc, status_key_name)
2669 ),
2670 allowed_statuses=,
-> 2671 actual_status=status,
2672 )
2673
UnexpectedStatusException: Error for Training job dbg-custom-rnn-D-BMW-2020-08-12-15-58-15-812: Failed. Reason: AlgorithmError: Exception during training: invalid syntax (core.py, line 314)
Traceback (most recent call last):
File "/opt/program/train", line 255, in train
traindata.to_csv(os.path.join(model_path, trainfile))
File "/usr/local/lib/python3.5/dist-packages/pandas/core/generic.py", line 3020, in to_csv
formatter.save()
File "/usr/local/lib/python3.5/dist-packages/pandas/io/formats/csvs.py", line 157, in save
compression=self.compression)
File "/usr/local/lib/python3.5/dist-packages/pandas/io/common.py", line 344, in _get_handle
from s3fs import S3File
File "/usr/local/lib/python3.5/dist-packages/s3fs/__init__.py", line 1, in <module>
from .core import S3FileSystem, S3File
File "/usr/local/lib/python3.5/dist-packages/s3fs/core.py", line 8, in <module>
from fsspec import AbstractFileSystem
File "/usr/local/lib/python3.5/dist-packages/fsspec/__init__.py", line 10, in <module>
from .mapping import FSMap, get_mapper
File "/usr/local/lib/python3.5/dist-packages/fsspec/map