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tf.squeeze
tensorflow doc

Removes dimensions of size 1 from the shape of a tensor. ... this op does not accept a deprecated squeeze_dims argument.

tf.data.Dataset

The given tensors are sliced along their first dimension. This operation preserves the structure of the input tensors, removing the first dimension of each ...

Extracts a slice from a tensor. ... where size[i] is the number of elements of the 'i'th dimension of input_ that you want to slice.

tf.reshape

Reshapes a tensor. ... To instead reorder the data to rearrange the dimensions of a tensor, see tf.transpose . t = [[1, 2, 3], [4, 5, 6]]

tf.RaggedTensor

Please use one of the following methods to construct a RaggedTensor :.

tf.sparse.SparseTensor

Takes a list indicating the number of elements in each dimension. For example, dense_shape=[3,6] specifies a two-dimensional 3x6 tensor, ...

Deprecated: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use ref() instead. get_shape.

tf.keras.layers.Reshape

Arbitrary, although all dimensions in the input shape must be known/fixed. Use the keyword argument input_shape (tuple of integers, ...

tf.boolean_mask

Apply boolean mask to tensor. ... 0 < dim(mask) = K <= dim(tensor) , and mask 's shape must match the first K dimensions of tensor 's shape.

tf.expand_dims

Returns a tensor with a length 1 axis inserted at index axis. ... tf.squeeze , which removes dimensions of size 1. tf.reshape , which ...

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