ray/rllib/models/tf/noop.py

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from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.utils.annotations import override
from ray.rllib.utils.framework import try_import_tf
_, tf, _ = try_import_tf()
class NoopModel(TFModelV2):
"""Trivial model that just returns the obs flattened.
This is the model used if use_state_preprocessor=False."""
@override(ModelV2)
def forward(self, input_dict, state, seq_lens):
return tf.cast(input_dict["obs_flat"], tf.float32), state