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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 )
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
num_or_size_splitsmust be the scalar
num_split(see documentation of
tf.sparse.splitfor more details).
A list of nested non-batched version of each tensor, where each list item corresponds to one batch item.
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.