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