rfho/utils.py
def vectorize_all(var_list):
    """Given a list of tensors returns their concatenated vectorization.
    Note that for matrices the vectorization is row-wise instead of column-wise as
    it should be in Magnus. Could it be a problem?

    :param var_list: **bold**

    :return: vectorization of `var_list`"""
    return wsr(tf.concat([tf.reshape(_w, [-1]) for _w in var_list], 0))
Given a list of tensors returns their concatenated vectorization.
    Note that for matrices the vectorization is row-wise instead of column-wise as
    it should be in Magnus. Could it be a problem?

    :param var_list: **bold**

    :return: vectorization of `var_list`
Given a list of tensors returns their concatenated vectorization.
Note that for matrices the vectorization is row-wise instead of column-wise as
it should be in Magnus.
Given a list of tensors returns their concatenated vectorization . Note that for matrices the vectorization is row - wise instead of column - wise as it should be in Magnus .
def vectorize_all(var_list):
    return wsr(tf.concat([tf.reshape(_w, [-1]) for _w in var_list], 0))
def vectorize_all ( var_list ) : return wsr ( tf . concat ( [ tf . reshape ( _w , [ - 1 ] ) for _w in var_list ] , 0 ) )
Given a list of tensors returns their concatenated vectorization.
Given a list of tensors returns their concatenated vectorization .
"""Given a list of tensors returns their concatenated vectorization.
    Note that for matrices the vectorization is row-wise instead of column-wise as
    it should be in Magnus. Could it be a problem?

    :param var_list: **bold**

    :return: vectorization of `var_list`"""
vectorization of `var_list`
vectorization of ` var_list `
var_list
None