def make_obsDeic_ph(name):
if WHICH_Q == "CNN":
return U.BatchInput(deicticShape, name=name)
elif WHICH_Q == "MLP":
return U.BatchInput(
[deicticShape[0] * deicticShape[1] * deicticShape[2]],
name=name)
else:
print("WHICH_Q error: must select valid q-function")
def make_obsDeic_ph(name):
# # CNN version
# return U.BatchInput(deicticShape, name=name)
# MLP version
return U.BatchInput([deicticShape[0]*deicticShape[1]*deicticShape[2]], name=name)
def make_obsDeic_ph(name):
# CNN version
return U.BatchInput(deicticShape, name=name)
def make_obs_ph(name):
return U.BatchInput(deicticShape, name=name)
def make_obs_ph(name):
return U.BatchInput(obsShape, name=name)
def make_target_ph(name):
return U.BatchInput([num_cascade], name=name)
def make_obs_ph(name):
return U.BatchInput(obs_space, name=name)
def make_weight_ph(name):
return U.BatchInput([num_states], name=name)
def make_actionDeic_ph(name):
return U.BatchInput(descriptorShapeSmall, name=name)
def make_target_ph(name):
return U.BatchInput([num_actions], name=name)
def make_fullImage_ph(name):
return U.BatchInput(fullImageSize, name=name)
def make_actionDeic_ph(name):
# return U.BatchInput(actionShape, name=name)
return U.BatchInput(actionShapeSmall, name=name)
def make_deic_ph(name):
return U.BatchInput(stateActionShape, name=name)
def make_stateDeic_ph(name):
return U.BatchInput(stateDescriptorShapeSmall, name=name)
def make_weight_phCascade(name):
return U.BatchInput([num_cascade], name=name)
def make_actions_ph(name):
return U.BatchInput([num_cascade], dtype=tf.int32, name=name)
def make_actionDeic_ph(name):
return U.BatchInput(deicticActionShape, name=name)
def make_weight_fullstate_ph(name):
return U.BatchInput([num_actions], name=name)
def make_target_ph(name):
# return U.BatchInput([num_actions], name=name)
# return U.BatchInput([num_cascade,num_states], name=name)
return U.BatchInput([num_states], name=name)
def make_lookDeic_ph(name):
return U.BatchInput(lookShape, name=name)
def make_obs_ph(name):
# return U.BatchInput(env.observation_space.shape, name=name)
return U.BatchInput(robShape, name=name)
def make_target_ph(name):
return U.BatchInput([1], name=name)
def make_obs_ph(name):
return U.BatchInput(env.observation_space.spaces[0].shape, name=name)
def make_weight_ph(name):
return U.BatchInput([env.action_space.n], name=name)
def make_ppDeic_ph(name):
return U.BatchInput(ppShape, name=name)
def make_match_ph(name):
return U.BatchInput(matchShape, name=name)
def make_weight_ph(name):
return U.BatchInput([1], name=name)
def make_actionDeic_ph(name):
return U.BatchInput([patchSizeSmall, patchSizeSmall, 2], name=name)
