operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
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19
5.24k
aten.nll_loss_backward.default
HuggingFace/M2M100ForConditionalGeneration
((T([], f16), T([256, 128112], f16), T([256], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/XGLMForCausalLM
((T([], f16), T([256, 256008], f16), T([256], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/convmixer_768_32
((T([], f16), T([32, 1000], f16), T([32], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/convnext_base
((T([], f16), T([32, 1000], f16), T([32], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/dpn107
((T([], f16), T([32, 1000], f16), T([32], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/gluon_senet154
((T([], f16), T([32, 1000], f16), T([32], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/gluon_xception65
((T([], f16), T([32, 1000], f16), T([32], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/legacy_senet154
((T([], f16), T([32, 1000], f16), T([32], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/resnest101e
((T([], f16), T([32, 1000], f16), T([32], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/swsl_resnext101_32x16d
((T([], f16), T([32, 1000], f16), T([32], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/twins_pcpvt_base
((T([], f16), T([32, 1000], f16), T([32], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/DistilBertForQuestionAnswering
((T([], f16), T([32, 128], f16), T([32], i64), None, 1, 128, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/MobileBertForQuestionAnswering
((T([], f16), T([32, 128], f16), T([32], i64), None, 1, 128, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/GPT2ForSequenceClassification
((T([], f16), T([4, 2], f16), T([4], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/DebertaForQuestionAnswering
((T([], f16), T([4, 512], f16), T([4], i64), None, 1, 512, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/BartForCausalLM
((T([], f16), T([4096, 50265], f16), T([4096], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/RobertaForCausalLM
((T([], f16), T([508, 30522], f16), T([508], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/OPTForCausalLM
((T([], f16), T([508, 50272], f16), T([508], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/ElectraForCausalLM
((T([], f16), T([511, 30522], f16), T([511], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/DistillGPT2
((T([], f16), T([511, 50257], f16), T([511], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/DebertaV2ForMaskedLM
((T([], f16), T([512, 128100], f16), T([512], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/YituTechConvBert
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aten.nll_loss_backward.default
HuggingFace/GoogleFnet
((T([], f16), T([512, 32000], f16), T([512], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/CamemBert
((T([], f16), T([512, 32005], f16), T([512], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/PegasusForConditionalGeneration
((T([], f16), T([512, 50265], f16), T([512], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/beit_base_patch16_224
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/crossvit_9_240
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/cspdarknet53
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/deit_base_distilled_patch16_224
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/densenet121
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aten.nll_loss_backward.default
TIMM/dla102
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/ecaresnet101d
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/gmixer_24_224
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/gmlp_s16_224
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/jx_nest_base
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/mixer_b16_224
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/mixnet_l
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/mobilevit_s
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/pit_b_224
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/poolformer_m36
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/res2net101_26w_4s
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/sebotnet33ts_256
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/swin_base_patch4_window7_224
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/tf_mixnet_l
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/tnt_s_patch16_224
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/vit_base_patch16_224
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
TIMM/volo_d1_224
((T([], f16), T([64, 1000], f16), T([64], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/BertForQuestionAnswering
((T([], f16), T([64, 128], f16), T([64], i64), None, 1, 128, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/RobertaForQuestionAnswering
((T([], f16), T([64, 128], f16), T([64], i64), None, 1, 128, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/ElectraForQuestionAnswering
((T([], f16), T([64, 512], f16), T([64], i64), None, 1, 512, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/MegatronBertForQuestionAnswering
((T([], f16), T([8, 128], f16), T([8], i64), None, 1, 128, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/Speech2Text2ForCausalLM
((T([], f16), T([8192, 10000], f16), T([8192], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/BertForMaskedLM
((T([], f16), T([8192, 30522], f16), T([8192], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/LayoutLMForMaskedLM
((T([], f16), T([8192, 30522], f16), T([8192], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/BlenderbotSmallForCausalLM
((T([], f16), T([8192, 50265], f16), T([8192], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/BlenderbotSmallForConditionalGeneration
((T([], f16), T([8192, 50265], f16), T([8192], i64), None, 1, -100, T([], f16)), {})
aten.nll_loss_backward.default
HuggingFace/GPTNeoForCausalLM
((T([], f32), T([127, 50257], f32), T([127], i64), None, 1, -100, T([], f32)), {})
aten.nll_loss_forward.default
HuggingFace/GPTNeoForSequenceClassification
((T([1, 2], f16), T([1], i64), None, 1, -100), {})
aten.nll_loss_forward.default
HuggingFace/DebertaV2ForQuestionAnswering
((T([1, 512], f16), T([1], i64), None, 1, 512), {})
aten.nll_loss_forward.default
HuggingFace/AlbertForMaskedLM
((T([1024, 30000], f16), T([1024], i64), None, 1, -100), {})
aten.nll_loss_forward.default
HuggingFace/PLBartForConditionalGeneration
((T([1024, 50005], f16), T([1024], i64), None, 1, -100), {})
aten.nll_loss_forward.default
HuggingFace/AllenaiLongformerBase
((T([1024, 50265], f16), T([1024], i64), None, 1, -100), {})
aten.nll_loss_forward.default
HuggingFace/MBartForConditionalGeneration
((T([1024, 50265], f16), T([1024], i64), None, 1, -100), {})
aten.nll_loss_forward.default
HuggingFace/PegasusForCausalLM
((T([1024, 50265], f16), T([1024], i64), None, 1, -100), {})
aten.nll_loss_forward.default
HuggingFace/TrOCRForCausalLM
((T([1024, 50265], f16), T([1024], i64), None, 1, -100), {})
aten.nll_loss_forward.default
HuggingFace/BigBird
((T([1024, 50358], f16), T([1024], i64), None, 1, -100), {})
aten.nll_loss_forward.default
HuggingFace/GPTNeoForCausalLM
((T([127, 50257], f32), T([127], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/adv_inception_v3
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/botnet26t_256
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/coat_lite_mini
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/dm_nfnet_f0
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/eca_botnext26ts_256
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/eca_halonext26ts
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/ese_vovnet19b_dw
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/fbnetc_100
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/fbnetv3_b
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/gernet_l
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/ghostnet_100
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/gluon_inception_v3
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/hardcorenas_a
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/hrnet_w18
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/inception_v3
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/lcnet_050
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/levit_128
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/mnasnet_100
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/mobilenetv2_100
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/mobilenetv3_large_100
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/nfnet_l0
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/regnety_002
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/repvgg_a2
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/res2net50_14w_8s
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/res2next50
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/resmlp_12_224
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/resnet18
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/rexnet_100
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/selecsls42b
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/spnasnet_100
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/tf_efficientnet_b0
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/tinynet_a
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})
aten.nll_loss_forward.default
TIMM/visformer_small
((T([128, 1000], f16), T([128], i64), None, 1, -100), {})