This could include different length of string values, or a multi dimensional array with some other data type error or value error. If the Numpy array element is set up incorrectly, if the Numpy array element has a different length, or you are using a multi dimensional array, you may have this issue when using a certain Python function. The error message reading valueerror: setting an array element with a sequence is a relatively common error that pops up when you use an np array out of the Numpy library. Numpy is a widely used scientific computing package for Python, and a requirement if you want to do any serious scientific work with the language. When you throw a whole new function library into the mix, you will have even more errors than you did before- that can be said of Python’s Numpy library. ValueError: setting an array element with a sequence.Error messages are a given in almost any kind of programming. Return ufunc.reduce(obj, axis, dtype, out, **passkwargs) Keepdims=keepdims, initial=initial, where=where)Ĭ:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\numpy\core\fromnumeric.py:90 _wrapreduction If shape is not None and np.prod(shape, dtype=np.int64) = 0:Ĭ:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\numpy\core\fromnumeric.py:2962 prod Parsed = self.parser(inputs=(x, context), training=training)Ĭ:\Users\nicol\Documents\InvoiceNet\invoicenet\parsing\parsers.py:65 call *Įmpty_answer = tf.constant(InvoiceData.eos_idx, tf.int32, shape=(tf.shape(x), q_out))Ĭ:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\framework\constant_op.py:264 constant **Ĭ:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\framework\constant_op.py:282 _constant_implĬ:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\framework\tensor_util.py:453 make_tensor_proto Predictions = self.model(inputs, training=True)Ĭ:\Users\nicol\Documents\InvoiceNet\invoicenet\acp\model.py:176 call * Raise e.ag_error_metadata.to_exception(e)Ĭ:\Users\nicol\Documents\InvoiceNet\invoicenet\acp\acp.py:85 train_step * Return weak_wrapped_fn()._wrapped_(*args, **kwds)įile "C:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\eager\function.py", line 3735, in bound_method_wrapperįile "C:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\framework\func_graph.py", line 973, in wrapper Graph_function = self._create_graph_function(args, kwargs)įile "C:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\eager\function.py", line 3075, in _create_graph_functionĬapture_by_value=self._capture_by_value),įile "C:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\framework\func_graph.py", line 986, in func_graph_from_py_funcįunc_outputs = python_func(*func_args, **func_kwargs)įile "C:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\eager\def_function.py", line 600, in wrapped_fn Graph_function, _, _ = self._maybe_define_function(args, kwargs)įile "C:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\eager\function.py", line 3213, in _maybe_define_function Self._initialize(args, kwds, add_initializers_to=initializers)įile "C:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\eager\def_function.py", line 697, in _initializeįile "C:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\eager\function.py", line 2855, in _get_concrete_function_internal_garbage_collected
Train_loss = ain_step(next(train_iter))įile "C:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\eager\def_function.py", line 780, in _call_įile "C:\Users\nicol\anaconda3\envs\invoicenet\lib\site-packages\tensorflow\python\eager\def_function.py", line 823, in _call
Self._target(*self._args, **self._kwargs)įile "C:\Users\nicol\Documents\InvoiceNet\invoicenet\gui\trainer.py", line 253, in _train I pre-processed all the data as indicated and I got this: Exception in thread Thread-107:įile "C:\Users\nicol\anaconda3\envs\invoicenet\lib\threading.py", line 926, in _bootstrap_innerįile "C:\Users\nicol\anaconda3\envs\invoicenet\lib\threading.py", line 870, in run
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