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#List conda environments 
conda env list

#Activate an environment
conda activate <env_name>

#Deactivate an environment
conda deactivate

#Create an environment

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def _bytes_feature(value):
    """Returns a bytes_list from a string / byte."""
    # If the value is an eager tensor BytesList won't unpack a string from an EagerTensor.
    if isinstance(value, type(tf.constant(0))):
        value = value.numpy() 
    return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value]))

def _float_feature(value):
    """Returns a float_list from a float / double."""
    return tf.train.Feature(float_list=tf.train.FloatList(value=[value]))

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