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Keygen Software Soft Screensaver 7.7a Torrentfor windows 7 7.71palantir project info manual for the chief of intelligenceQ: How to generate a list/array of all the Tensorflow/KERAS/TF2 models available in the GPU? I am looking for a code to generate a list/array of all the Tensorflow/KERAS/TF2 models available in the GPU. I have successfully used torch to get this. A: Here's a list of all the available Keras models from the Keras website. from gensim.models import KeyedVectors # to import *models* from Keras (Dense, CNN,...) import numpy as np # import the numpy library import os from gensim.models import Word2Vec # to import *models* from Keras import sys np.random.seed(1) from keras.models import Sequential from keras.layers import Dense from keras import backend as K from keras.layers import Flatten from keras.layers import LSTM from keras.layers import Dropout from keras import optimizers from keras.preprocessing.text import TextField from keras.preprocessing.sequence import pad_sequences from keras.models import model_from_json from keras.utils import np_utils def get_keras_models(): # import the models models = [] for model in dir(K): model_name = model.split('.')[-1] if model_name.endswith('layer'): if hasattr(K.function, model): models.append(getattr(K.function, model)) elif model_name == 'Sequential': for layer in dir(K.function): if hasattr(K.function, layer): model = getattr(K.function, layer) model_name = model.__name__ models.append(model) models = [K.function(model) for model in models] print(models) if __name__ == '__main__': get_keras_models() A: Tensorflow website provides a different approach to generate all models as follows: import tensorflow as tf from tensorflow.python import keras from tensorflow.python.keras.models import model_from_json models = tf.keras.models models.__all__ = ['Model', 'Sequential', 'Conv1D', 'Flatten', 'Dense', 'Embedding', 'ModelGenerator'] for model in models.
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