tf.raw_ops.TensorArrayConcatV3

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Concat the elements from the TensorArray into value value.

Compat aliases for migration

tf.compat.v1.raw_ops.TensorArrayConcatV3

tf.raw_ops.TensorArrayConcatV3(
    handle, flow_in, dtype, element_shape_except0=None, name=None
)

Takes T elements of shapes

  (n0 x d0 x d1 x ...), (n1 x d0 x d1 x ...), ..., (n(T-1) x d0 x d1 x ...)

and concatenates them into a Tensor of shape:

  (n0 + n1 + ... + n(T-1) x d0 x d1 x ...)

All elements must have the same shape (excepting the first dimension).

Args
handle	A Tensor of type resource. The handle to a TensorArray.
flow_in	A Tensor of type float32. A float scalar that enforces proper chaining of operations.
dtype	A tf.DType. The type of the elem that is returned.
element_shape_except0	An optional tf.TensorShape or list of ints. Defaults to None. The expected shape of an element, if known, excluding the first dimension. Used to validate the shapes of TensorArray elements. If this shape is not fully specified, concatenating zero-size TensorArrays is an error.
name	A name for the operation (optional).

Returns
A tuple of Tensor objects (value, lengths).
value	A Tensor of type dtype.
lengths	A Tensor of type int64.

tf.raw_ops.TensorArrayConcatV3 | TensorFlow v2.16.1 (original) (raw)