def next_frame_basic_deterministic():
"""Basic 2-frame conv model."""
hparams = base.next_frame_base()
hparams.video_num_input_frames = 4
hparams.video_num_target_frames = 1
hparams.hidden_size = 64
hparams.batch_size = 4
hparams.num_hidden_layers = 2
hparams.optimizer = "Adafactor"
hparams.learning_rate_constant = 1.5
hparams.learning_rate_warmup_steps = 8000
hparams.learning_rate_schedule = "linear_warmup * constant * rsqrt_decay"
hparams.label_smoothing = 0.0
hparams.initializer = "uniform_unit_scaling"
hparams.initializer_gain = 1.3
hparams.weight_decay = 0.0
hparams.clip_grad_norm = 1.0
hparams.dropout = 0.1
hparams.add_hparam("residual_dropout", 0.5)
hparams.add_hparam("num_compress_steps", 6)
hparams.add_hparam("filter_double_steps", 2)
hparams.add_hparam("pixel_sampling_temperature", 0.0)
hparams.add_hparam("concat_internal_states", False)
hparams.add_hparam("do_autoregressive_rnn", False)
hparams.add_hparam("autoregressive_rnn_lookback", 8)
hparams.add_hparam("autoregressive_rnn_warmup_steps", 8000)
hparams.add_hparam("activation_fn", "relu")
hparams.bottom["inputs"] = modalities.video_identity_bottom
hparams.bottom["targets"] = modalities.video_identity_bottom
return hparams
def next_frame_basic_deterministic():
"""Basic 2-frame conv model."""
hparams = base.next_frame_base()
hparams.video_num_input_frames = 4
hparams.video_num_target_frames = 1
hparams.hidden_size = 64
hparams.batch_size = 4
hparams.num_hidden_layers = 2
hparams.optimizer = "Adafactor"
hparams.learning_rate_constant = 1.5
hparams.learning_rate_warmup_steps = 8000
hparams.learning_rate_schedule = "linear_warmup * constant * rsqrt_decay"
hparams.label_smoothing = 0.0
hparams.initializer = "uniform_unit_scaling"
hparams.initializer_gain = 1.3
hparams.weight_decay = 0.0
hparams.clip_grad_norm = 1.0
hparams.dropout = 0.5
hparams.add_hparam("num_compress_steps", 6)
hparams.add_hparam("filter_double_steps", 2)
return hparams
def next_frame_basic_deterministic():
"""Basic 2-frame conv model."""
hparams = base.next_frame_base()
hparams.video_num_input_frames = 4
hparams.video_num_target_frames = 1
hparams.hidden_size = 64
hparams.batch_size = 4
hparams.num_hidden_layers = 2
hparams.optimizer = "Adafactor"
hparams.learning_rate_constant = 1.5
hparams.learning_rate_warmup_steps = 8000
hparams.learning_rate_schedule = "linear_warmup * constant * rsqrt_decay"
hparams.label_smoothing = 0.0
hparams.initializer = "uniform_unit_scaling"
hparams.initializer_gain = 1.3
hparams.weight_decay = 0.0
hparams.clip_grad_norm = 1.0
hparams.dropout = 0.1
hparams.add_hparam("residual_dropout", 0.5)
hparams.add_hparam("num_compress_steps", 6)
hparams.add_hparam("filter_double_steps", 2)
hparams.add_hparam("pixel_sampling_temperature", 0.0)
hparams.add_hparam("concat_internal_states", False)
return hparams
