tf_agents.utils.nest_utils.split_nested_tensors

Split batched nested tensors, on batch dim (outer dim), into a list.

tf_agents.utils.nest_utils.split_nested_tensors(
    tensors, specs, num_or_size_splits
)

Args
`tensors`	Nested list/tuple or dict of batched Tensors.
`specs`	Nested list/tuple or dict of TensorSpecs, describing the shape of the non-batched Tensors.
`num_or_size_splits`	Same as argument for tf.split. Either a python integer indicating the number of splits along batch_dim or a list of integer Tensors containing the sizes of each output tensor along batch_dim. If a scalar then it must evenly divide value.shape[axis]; otherwise the sum of sizes along the split dimension must match that of the value. For `SparseTensor` inputs, `num_or_size_splits` must be the scalar `num_split` (see documentation of `tf.sparse.split` for more details).

Returns
A list of nested non-batched version of each tensor, where each list item corresponds to one batch item.

Raises
`ValueError`	if the tensors and specs have incompatible dimensions or shapes.
`ValueError`	if a non-scalar is passed and there are SparseTensors in the structure.

Args