W3cubDocs

/TensorFlow Python

tf.shape(input, name=None, out_type=tf.int32)

tf.shape(input, name=None, out_type=tf.int32)

See the guide: Tensor Transformations > Shapes and Shaping

Returns the shape of a tensor.

This operation returns a 1-D integer tensor representing the shape of input.

For example:

# 't' is [[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]]
shape(t) ==> [2, 2, 3]

Args:

  • input: A Tensor or SparseTensor.
  • name: A name for the operation (optional).
  • out_type: (Optional) The specified output type of the operation (int32 or int64). Defaults to tf.int32.

Returns:

A Tensor of type out_type.

Defined in tensorflow/python/ops/array_ops.py.

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/shape