Steps_per_epoch=1, epochs=1, shuffle=False, verbose=0)įile "D:\Anaconda\envs\tf14\lib\site-packages\keras\engine\training.py", line 1239, in fitįile "D:\Anaconda\envs\tf14\lib\site-packages\keras\engine\training_arrays.py", line 152, in fit_loopįile "D:\Anaconda\envs\tf14\lib\site-packages\tensorflow\python\keras\backend. Pydev_imports.execfile(file, globals, locals) # execute the scriptįile "D:\JetBrains\Toolbox\apps\P圜harm-P\ch-0\201.6668.115\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfileĮxec(compile(contents "\n", file, 'exec'), glob, loc)įile "E:/1-Research/0-DP GCN/0/5GNNs/keras-gcn/kegra/train.py", line 88, in The code ran fine 2 weeks back, but I am having trouble now.ĭo you think its tensorflow or keras versions?įile "D:\JetBrains\Toolbox\apps\P圜harm-P\ch-0\201.6668.115\plugins\python\helpers\pydev\pydevd.py", line 1438, in _exec I am trying to run the code as is but getting this error. ![]() ValueError: setting an array element with a sequence. > 85 return array(a, dtype, copy=False, order=order) ~/anaconda3/lib/python3.6/site-packages/numpy/core/_asarray.py in asarray(a, dtype, order) > 3277 dtype=tensor_type.as_numpy_dtype)) To solve this error, ensure that each element in the array is of consistent length and that you do not have a sequence in place of a single element. ~/anaconda3/lib/python3.6/site-packages/tensorflow/python/keras/backend.py in call(self, inputs)ģ275 tensor_type = dtypes_module.as_dtype(tensor.dtype) If you try to put a sequence of more than one element in the place of an array element, you will raise the error: ValueError: setting an array element with a sequence. ~/anaconda3/lib/python3.6/site-packages/keras/engine/training_arrays.py in fit_loop(model, fit_function, fit_inputs, out_labels, batch_size, epochs, verbose, callbacks, val_function, val_inputs, shuffle, initial_epoch, steps_per_epoch, validation_steps, validation_freq)ġ94 ins_batch = ins_batch.toarray() ~/anaconda3/lib/python3.6/site-packages/keras/engine/training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs) ValueError Traceback (most recent call last) Please use tf.compat.v1.global_variables instead. Try using only the training data in the fitness routine, and try expanding out the data and set to have more values. You can’t set the column df‘text’ to a matrix without up the dimensions. WARNING:tensorflow:From /Users/manohar/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:422: The name tf.global_variables is deprecated. Tfidfvectorizer returns a 2-Dimension array. It expects whatever you give it to evaluate to a single number, if it doesn't, Numpy responds that it doesn't know how to set an array element with a sequence.Dataset has 2708 nodes, 5429 edges, 1433 features. X = np.array() #Fail, can't convert the numpy array to fitĪ numpy array is being created, and numpy doesn't know how to cram multivalued tuples or arrays into single element slots. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. ![]() Means exactly what it says, youre trying to cram a sequence of numbers into a single number slot. ![]() By trying to cram a numpy array length > 1 into a numpy array element: x = np.array() ValueError: setting an array element with a sequence. Numpy.array() #Fail, can't convert a list into a numpyĢ. Once you got the contours from cv2.findContours() function, you can directly pass that contours to cv2.drawContours() function. an() #Fail, can't convert a tuple into a numpy Hi, To draw contours, you need not do like this. ![]() Numpy.array() #Fail, can't convert a tuple into a numpy When you pass a python tuple or list to be interpreted as a numpy array element: import numpy It can be thrown under various circumstances.ġ. Means exactly what it says, you're trying to cram a sequence of numbers into a single number slot. The Python ValueError: ValueError: setting an array element with a sequence.
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