o }oiU@sVddlZddlZddlmmZddlmZmZddZ ddZ ddZ d d Z dS) N)chunked_cross_entropycompute_cross_entropycCs|tjgdgdgtjd}tjddgtjd}tj||dd}t||}tj||dd satolExpected loss , but got .N torchtensorfloat32longF cross_entropyrallcloseitemlogitstargets expected_loss actual_lossrX/home/ubuntu/.local/lib/python3.10/site-packages/tests/automodel/loss/test_chunked_ce.py test_compute_cross_entropy_basics r!cCstjddgddgddggtjd}tjgdtjd}tj||ddd }t||dd }tj||d d sBJd |d|ddS)zs Tests compute_cross_entropy with ignore_index to ensure ignored targets don't contribute to the loss. grg@rr)rrr r")r ignore_indexr#r r rrrNrrrrr 'test_compute_cross_entropy_ignore_index(s"r%c Csd}d}d}t||}td||f}t|||dk}ddlm}|}t|||d}tj ||dd sGJd | d | d d S)z Tests that chunked_cross_entropy produces the same result as compute_cross_entropy when the entire sequence is processed in one chunk. rr")ceil) chunk_lenr r Expected chunked loss rrN) rrandnrandintrr detachmathr)rrr) batch_sizeseq_len num_classesrrloss_refr)r* loss_chunkedrrr 8test_chunked_cross_entropy_matches_compute_cross_entropy;s  r5c Csd}d}t||}td||f}tdd|f}d|d<d}|}|||dk<t|||d}|||k}d}t|||||d } tj| |d d s]Jd | d | ddS)z Tests that chunked_cross_entropy properly ignores indices and respects masks. Verifies consistency with compute_cross_entropy. rrr"r$)maskr*r#r r r+rrN) rr,r-clonerr r.rrr) r1r2rrr: ignore_idxmasked_targetsr3r*r4rrr 0test_chunked_cross_entropy_ignore_index_and_maskVs$  r>) pytestrtorch.nn.functionalnn functionalrnemo.automodel.loss.chunked_cerrr!r%r5r>rrrr s