TokenRnnEmbedding ================= .. currentmodule:: tfts.layers.embed_layer .. autoclass:: TokenRnnEmbedding :members: :show-inheritance: :exclude-members: __init__ :inherited-members: .. rubric:: Methods .. autosummary:: ~TokenRnnEmbedding.add_loss ~TokenRnnEmbedding.add_metric ~TokenRnnEmbedding.add_variable ~TokenRnnEmbedding.add_weight ~TokenRnnEmbedding.build ~TokenRnnEmbedding.build_from_config ~TokenRnnEmbedding.call ~TokenRnnEmbedding.compute_mask ~TokenRnnEmbedding.compute_output_shape ~TokenRnnEmbedding.compute_output_spec ~TokenRnnEmbedding.count_params ~TokenRnnEmbedding.from_config ~TokenRnnEmbedding.get_build_config ~TokenRnnEmbedding.get_config ~TokenRnnEmbedding.get_weights ~TokenRnnEmbedding.load_own_variables ~TokenRnnEmbedding.quantize ~TokenRnnEmbedding.quantized_build ~TokenRnnEmbedding.quantized_call ~TokenRnnEmbedding.rematerialized_call ~TokenRnnEmbedding.save_own_variables ~TokenRnnEmbedding.set_weights ~TokenRnnEmbedding.stateless_call ~TokenRnnEmbedding.symbolic_call .. rubric:: Attributes .. autosummary:: ~TokenRnnEmbedding.compute_dtype ~TokenRnnEmbedding.dtype ~TokenRnnEmbedding.dtype_policy ~TokenRnnEmbedding.input ~TokenRnnEmbedding.input_dtype ~TokenRnnEmbedding.input_spec ~TokenRnnEmbedding.losses ~TokenRnnEmbedding.metrics ~TokenRnnEmbedding.metrics_variables ~TokenRnnEmbedding.non_trainable_variables ~TokenRnnEmbedding.non_trainable_weights ~TokenRnnEmbedding.output ~TokenRnnEmbedding.path ~TokenRnnEmbedding.quantization_mode ~TokenRnnEmbedding.supports_masking ~TokenRnnEmbedding.trainable ~TokenRnnEmbedding.trainable_variables ~TokenRnnEmbedding.trainable_weights ~TokenRnnEmbedding.variable_dtype ~TokenRnnEmbedding.variables ~TokenRnnEmbedding.weights