How can I convert a tensor into a numpy array in TensorFlow?

How to convert a tensor into a numpy array when using Tensorflow with Python bindings?

Any tensor returned by or eval is a NumPy array.

    >>> print(type(tf.Session().run(tf.constant([1,2,3]))))
    <class 'numpy.ndarray'>


    >>> sess = tf.InteractiveSession()
    >>> print(type(tf.constant([1,2,3]).eval()))
    <class 'numpy.ndarray'>

Or, equivalently:

    >>> sess = tf.Session()
    >>> with sess.as_default():
    >>>    print(type(tf.constant([1,2,3]).eval()))
    <class 'numpy.ndarray'>

EDIT: Not any tensor returned by or eval() is a NumPy array. Sparse Tensors for example are returned as SparseTensorValue:

    >>> print(type(tf.Session().run(tf.SparseTensor([[0, 0]],[1],[1,2]))))
    <class 'tensorflow.python.framework.sparse_tensor.SparseTensorValue'>


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