I get the followin error when I tey tu run the file from terminal:
I am using python 3.7 and working on a windows 10 system.
The error apears while running a virtual environment where all the requirements have been installed.
Using TensorFlow backend.
AttributeError: 'numpy.ndarray' object has no attribute 'rint'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\52331\PycharmProjects\Q-Learning-for-Trading\venv\lib\site-packages\numpy\core\fromnumeric.py", line 61, in _wrapfunc
return bound(*args, **kwds)
TypeError: loop of ufunc does not support argument 0 of type numpy.ndarray which has no callable rint method
During handling of the above exception, another exception occurred:
AttributeError: 'numpy.ndarray' object has no attribute 'rint'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "run.py", line 29, in <module>
data = np.around(get_data())
File "<__array_function__ internals>", line 6, in around
File "C:\Users\52331\PycharmProjects\Q-Learning-for-Trading\venv\lib\site-packages\numpy\core\fromnumeric.py", line 3224, in around
return _wrapfunc(a, 'round', decimals=decimals, out=out)
File "C:\Users\52331\PycharmProjects\Q-Learning-for-Trading\venv\lib\site-packages\numpy\core\fromnumeric.py", line 70, in _wrapfunc
return _wrapit(obj, method, *args, **kwds)
File "C:\Users\52331\PycharmProjects\Q-Learning-for-Trading\venv\lib\site-packages\numpy\core\fromnumeric.py", line 47, in _wrapit
result = getattr(asarray(obj), method)(*args, **kwds)
TypeError: loop of ufunc does not support argument 0 of type numpy.ndarray which has no callable rint method
Related
ERROR: test_create_center_net_model_mobilenet (main.ModelBuilderTF2Test)
ModelBuilderTF2Test.test_create_center_net_model_mobilenet
Test building a CenterNet model using bilinear interpolation.
Traceback (most recent call last):
File "Tensorflow\models\research\object_detection\builders\model_builder_tf2_test.py", line 499, in test_create_center_net_model_mobilenet
self.get_fake_label_map_file_path())
File "Tensorflow\models\research\object_detection\builders\model_builder_tf2_test.py", line 80, in get_fake_label_map_file_path
with tf.io.gfile.Open(keypoint_label_map_path, 'wb') as f:
AttributeError: module 'tensorflow._api.v2.io.gfile' has no attribute 'Open'
I'm new to tf object detection api 2.
After training the model you can run an evaluation process to check the accuracy of the model.
But when I tried to run I got the below error. I'm using the backbone as an efficientDet.
I was able to run the evaluation for scaling resolution 512 but 640 is failing with the below error.
This is the python file I called and ended up with the below error.
enter code here /tensorflow/models/research/object_detection/model_main_tf2.py
`enter code here`enter code here`Call arguments received:
• inputs=tf.Tensor(shape=(1, 480, 640, 3), dtype=float32)
• kwargs={'training': 'False'}
exception.
INFO:tensorflow:A replica probably exhausted all examples. Skipping pending examples on other replicas.
I0719 06:49:27.115007 140042699994880 model_lib_v2.py:943] A replica probably exhausted all examples. Skipping pending e
xamples on other replicas.
Traceback (most recent call last):
File "/home/pictcompute/effient_net_ve/tensorflow/models/research/object_detection/model_main_tf2.py", line 115, in <m
odule>
tf.compat.v1.app.run()
File "/home/pictcompute/effient_net_ve/lib/python3.8/site-packages/tensorflow/python/platform/app.py", line 36, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/home/pictcompute/effient_net_ve/lib/python3.8/site-packages/absl/app.py", line 312, in run
_run_main(main, args)
File "/home/pictcompute/effient_net_ve/lib/python3.8/site-packages/absl/app.py", line 258, in _run_main
sys.exit(main(argv))
File "/home/pictcompute/effient_net_ve/tensorflow/models/research/object_detection/model_main_tf2.py", line 82, in mai
n
model_lib_v2.eval_continuously(
File "/home/pictcompute/effient_net_ve/lib/python3.8/site-packages/object_detection/model_lib_v2.py", line 1159, in ev
al_continuously
eager_eval_loop(
File "/home/pictcompute/effient_net_ve/lib/python3.8/site-packages/object_detection/model_lib_v2.py", line 1009, in ea
ger_eval_loop
for evaluator in evaluators:
TypeError: 'NoneType' object is not iterable
Highly appreciate your help.
Thanks
The error occurs when you try to iterate over a None value. For example
mylist = None
for x in mylist:
print(x)
TypeError Traceback (most recent call last)
<ipython-input-2-a63d8b17c4a7> in <module>
1 mylist = None
2
----> 3 for x in mylist:
4 print(x)
TypeError: 'NoneType' object is not iterable
The error can be avoided by checking if a value is None or not before iterating over it. Thank You.
I'm trying to convert the Pyspark data frame into a pandas data frame.
meanwhile calculating long, lat values and updating them into a data frame.
def cos_max_longitude(radian_longitude, radian_latitude):
return radian_longitude + np.arcsin(np.sin(r) / np.arccos(radian_latitude))
Error Stack :
Traceback (most recent call last):
File "/usr/local/src/spark/python/lib/pyspark.zip/pyspark/worker.py", line 377, in main
process()
File "/usr/local/src/spark/python/lib/pyspark.zip/pyspark/worker.py", line 372, in process
serializer.dump_stream(func(split_index, iterator), outfile)
File "/usr/local/src/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 345, in dump_stream
self.serializer.dump_stream(self._batched(iterator), stream)
File "/usr/local/src/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 141, in dump_stream
for obj in iterator:
File "/usr/local/src/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 334, in _batched
for item in iterator:
File "<string>", line 1, in <lambda>
File "/usr/local/src/spark/python/lib/pyspark.zip/pyspark/worker.py", line 85, in <lambda>
return lambda *a: f(*a)
File "/usr/local/src/spark/python/lib/pyspark.zip/pyspark/util.py", line 99, in wrapper
return f(*args, **kwargs)
File "/home/ec2-user/test.py", line 1847, in cos_max_longitude
np.arcsin(np.sin(r) / np.arccos(radian_latitude))
TypeError: loop of ufunc does not support argument 0 of type decimal.Decimal which has no callable arccos method
Basically error is in np.arccos(radian_latitude)
My suggestion would be to check data type of radian_latitude also check data type of the value stored inside it
If its 'decimal.Decimal' then convert it to simple float datatype.
Refer below links :
https://docs.python.org/3/library/decimal.html
https://docs.scipy.org/doc/numpy/reference/ufuncs.html#optional-keyword-arguments
https://docs.scipy.org/doc/numpy/reference/generated/numpy.arccos.html
I am using hmmlearn library to create HMM. While running the code it gave an error ttributeError: 'module' object has no attribute 'broadcast_to'.
I am running GMMHMM as
model1 = GMMHMM(n_components=4, n_mix=64, covariance_type='diag', n_iter=1000, min_covar=0.001, startprob_prior=1.0, transmat_prior=1.0, weights_prior=1.0, means_prior=0.0, means_weight=0.0, covars_prior=None, covars_weight=None, algorithm='viterbi', random_state=None, tol=0.01, verbose=False, params='stmcw', init_params='stmcw').fit(X)
and the error traceback is
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "build/bdist.linux-i686/egg/hmmlearn/base.py", line 424, in fit
File "build/bdist.linux-i686/egg/hmmlearn/hmm.py", line 609, in _init
File "build/bdist.linux-i686/egg/hmmlearn/hmm.py", line 677, in
_fix_priors_shape
AttributeError: 'module' object has no attribute 'broadcast_to'
I figured out that it is because of numpy. How can we fix this
Make sure you have at least NumPy 1.10.0, because np.broadcast_to is not available for newer versions.
I am trying to get familiar with the feedparser library, but I don't seem to be able to access the content attribute of entries in the feedparser object:
d = feedparser.parse('http://www.reddit.com/r/python/.rss')
post = d.entries[2]
post.content
the above code block gives me this error:
Traceback (most recent call last):
File "C:\Python34\lib\site-packages\feedparser.py", line 414, in __getattr__
return self.__getitem__(key)
File "C:\Python34\lib\site-packages\feedparser.py", line 375, in __getitem__
return dict.__getitem__(self, key)
KeyError: 'content'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<pyshell#87>", line 1, in <module>
content = post.content[0].value
File "C:\Python34\lib\site-packages\feedparser.py", line 416, in __getattr__
raise AttributeError("object has no attribute '%s'" % key)
AttributeError: object has no attribute 'content'
Just do a print(post) and you will probably see that it doesn't have a content attribute.
RSS feeds do not guarantee that it will have one.