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