TensorFlow 1 version
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View source on GitHub
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Returns the rank of a tensor.
tf.rank(
input, name=None
)
See also tf.shape.
Returns a 0-D int32 Tensor representing the rank of input.
For example:
# shape of tensor 't' is [2, 2, 3]
t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])
tf.rank(t) # 3
Args | |
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input
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A Tensor or SparseTensor.
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name
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A name for the operation (optional). |
Returns | |
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A Tensor of type int32.
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Numpy Compatibility
Equivalent to np.ndim