&`idZddlZddlZddlZddlmZmZddlm Z ddl m Z ej e Ze dejfdZe dd ed ed efd Ze d ZdS)z7Utils for minibatch SGD across multiple RLlib policies.N)MultiAgentBatch SampleBatch) OldAPIStack)LearnerInfoBuilderarraycv||z td|z S)zNormalize the values in an array. Args: array (np.ndarray): Array of values to normalize. Returns: array with zero mean and unit standard deviation. g-C6?)meanmaxstd)rs g/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/ray/rllib/utils/sgd.py standardizedr s. EJJLL Ceiikk$:$: ::Tsamplessgd_minibatch_sizeshufflec#K|s|VdSt|trtdd|vrd|vr|||}|\}}t |dkr,|rt j||D]\}}|||VdStt||}|rt j||D]%\\}}\}} | |||| V&dS)a Return a generator yielding minibatches from a sample batch. Args: samples: SampleBatch to split up. sgd_minibatch_size: Size of minibatches to return. shuffle: Whether to shuffle the order of the generated minibatches. Note that in case of a non-recurrent policy, the incoming batch is globally shuffled first regardless of this setting, before the minibatches are generated from it! Yields: SampleBatch: Each of size `sgd_minibatch_size`. Nz;Minibatching not implemented for multi-agent in simple mode state_in_0 state_out_0r) isinstancerNotImplementedErrorr_get_slice_indiceslenrandomlistzipslice) rrr all_slices data_slices state_slicesijsisjs r minibatchesr$sa  '?++ ! I   7""}G'C'C++,>??J *K <A  ( N; ' ' '  DAq!A#,      #k<8899  ' N: & & & * . . FQHR--1b"-- - - - - . .rc |}td}|D]\}}||jvr|j|} |D]} t | | | | <|rK|jdd|kr4td||jddt|D][} t| |D]H} | t|| i| j |} || |I\|}|S)a Execute minibatch SGD. Args: samples: Batch of samples to optimize. policies: Dictionary of policies to optimize. local_worker: Master rollout worker instance. num_sgd_iter: Number of epochs of optimization to take. sgd_minibatch_size: Size of minibatches to use for optimization. standardize_fields: List of sample field names that should be normalized prior to optimization. Returns: averaged info fetches over the last SGD epoch taken. ) num_devicesmodel max_seq_lenzC`sgd_minibatch_size` ({}) cannot be smaller than`max_seq_len` ({}).)as_multi_agentritemspolicy_batchesr is_recurrentconfig ValueErrorformatranger$learn_on_batchrcountadd_learn_on_batch_resultsfinalize)rpolicies local_worker num_sgd_iterrstandardize_fieldslearner_info_builder policy_idpolicybatchfieldr minibatchresults learner_infos r do_minibatch_sgdrBHs2$$&&G.!<<<%^^--TT 6 G2 2 2 &y1' 6 6E'e 55E%LL    ! !  g&}58JJJ&&,f& g(>}(M'' |$$ T TA(0BCC T T  //'I(> PP  %??SSSS  T T(0022L r)T)__doc__loggingrnumpynpray.rllib.policy.sample_batchrrray.rllib.utils.annotationsr$ray.rllib.utils.metrics.learner_infor getLogger__name__loggerndarrayr intboolr$rBrr rQs== FFFFFFFF333333CCCCCC  8 $ $  ; ; ; ;  ; (.(.(.#(.(.(.(. (.V @@ @@@r