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When I try to generate a model with acumos I get this error : File "/Users/fredericchantrel/.pyenv/versions/ticl-v2-virtualenv-3.6.5/lib/python3.6/site-packages/acumos/pickler.py", line 245, in wrapped_save ... File "/Users/fredericchantrel/.pyenv/versions/ticl-v2-virtualenv-3.6.5/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py", line 687, in numpy "numpy() is only available when eager execution is enabled.") NotImplementedError: numpy() is only available when eager execution is enabled. Is there incompatibilities whith numpy from acumos ? Here is a piece of my code : def classify_ticket(inText: str) -> str: text = normalise(inText) current_vec = get_sentence_vector(text) x_predict = [] x_predict.append(current_vec) X_predict = np.asarray(x_predict) result = current_model.predict(X_predict) predict = get_meilleure_reponse(result[0]) return predict def get_sentence_vector(sentence): words = sentence.split() array_vector = [] for word in words: try: current_vec = get_word_vector(word) array_vector.append(current_vec) except KeyError as e: print(f"token non trouvé dans le dico : {word}") np_array = np.asarray(array_vector) retour = np.mean(np_array, dtype=np.float64, axis=0) return retour JavaScript questions and answers, JavaScript questions pdf, JavaScript question bank, JavaScript questions and answers pdf, mcq on JavaScript pdf, JavaScript questions and solutions, JavaScript mcq Test , Interview JavaScript questions, JavaScript Questions for Interview, JavaScript MCQ (Multiple Choice Questions)

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If someone has the same error, this error indicates that we have to add "tf.enable_eager_execution()". But when this is done we encounter another error. To solve the problem I had to replace "from tensorflow.python.keras.models import Sequential, ..." by "from keras.models import Sequential, ..." and "from tensorflow.python.keras.layers import Dropout, Dense, BatchNormalization" by "from keras.layers import Dropout, Dense, BatchNormalization".

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