TensorFlow 1 version
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View source on GitHub
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Returns the shape of a tensor.
tf.shape(
input, out_type=tf.dtypes.int32, name=None
)
This operation returns a 1-D integer tensor representing the shape of input.
For example:
t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])tf.shape(t)<tf.Tensor: shape=(3,), dtype=int32, numpy=array([2, 2, 3], dtype=int32)>tf.shape(t).numpy()array([2, 2, 3], dtype=int32)
a = tf.keras.layers.Input((None, 10))tf.shape(a)<tf.Tensor ... shape=(3,) dtype=int32>
In these cases, using tf.Tensor.shape will return more informative results.
a.shapeTensorShape([None, None, 10])
Args | |
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input
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A Tensor or SparseTensor.
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out_type
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(Optional) The specified output type of the operation (int32 or
int64). Defaults to tf.int32.
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name
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A name for the operation (optional). |
Returns | |
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A Tensor of type out_type.
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