tf_agents.utils.nest_utils.is_batched_nested_tensors

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Compares tensors to specs to determine if all tensors are batched or not.

tf_agents.utils.nest_utils.is_batched_nested_tensors(
    tensors, specs, num_outer_dims=1
)

For each tensor, it checks the dimensions and dtypes with respect to specs.

Returns True if all tensors are batched and False if all tensors are unbatched.

Raises a ValueError if the shapes are incompatible or a mix of batched and unbatched tensors are provided.

Raises a TypeError if tensors' dtypes do not match specs.

tensors Nested list/tuple/dict of Tensors.
specs Nested list/tuple/dict of Tensors or CompositeTensors describing the shape of unbatched tensors.
num_outer_dims The integer number of dimensions that are considered batch dimensions. Default 1.

True if all Tensors are batched and False if all Tensors are unbatched.

ValueError If

  1. Any of the tensors or specs have shapes with ndims == None, or
  2. The shape of Tensors are not compatible with specs, or
  3. A mix of batched and unbatched tensors are provided.
  4. The tensors are batched but have an incorrect number of outer dims.
TypeError If dtypes between tensors and specs are not compatible.