operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.add.Tensor
TIMM/repvgg_a2
((T([128, 64, 112, 112], f16), T([128, 64, 112, 112], f16)), {})
aten.add.Tensor
TIMM/fbnetc_100
((T([128, 64, 14, 14], f16), T([128, 64, 14, 14], f16)), {})
aten.add.Tensor
TIMM/mobilenetv2_100
((T([128, 64, 14, 14], f16), T([128, 64, 14, 14], f16)), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 64, 28, 28], f16), T([128, 64, 28, 28], f16, stride=(200704, 784, 28, 1))), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 64, 28, 28], f16, stride=(200704, 784, 28, 1)), T([128, 64, 28, 28], f16)), {})
aten.add.Tensor
TIMM/hrnet_w18
((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16)), {})
aten.add.Tensor
TIMM/res2net50_14w_8s
((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16)), {})
aten.add.Tensor
TIMM/res2next50
((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16)), {})
aten.add.Tensor
TIMM/resnet18
((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 64, 56, 56], f16), T([128, 64, 56, 56], f16, stride=(200768, 1, 3584, 64))), {})
aten.add.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 64, 56, 56], f16, stride=(1404928, 3136, 56, 1)), T([128, 64, 56, 56], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 64, 56, 56], f16, stride=(200768, 1, 3584, 64)), T([128, 64, 56, 56], f16, stride=(200704, 1, 3584, 64))), {})
aten.add.Tensor
TIMM/selecsls42b
((T([128, 64, 56, 56], f16, stride=(401408, 3136, 56, 1)), T([128, 64, 56, 56], f16)), {})
aten.add.Tensor
TIMM/selecsls42b
((T([128, 64, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([128, 64, 56, 56], f16)), {})
aten.add.Tensor
TIMM/botnet26t_256
((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16)), {})
aten.add.Tensor
TIMM/eca_botnext26ts_256
((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16)), {})
aten.add.Tensor
TIMM/eca_halonext26ts
((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16)), {})
aten.add.Tensor
TIMM/gernet_l
((T([128, 640, 16, 16], f16), T([128, 640, 16, 16], f16)), {})
aten.add.Tensor
TIMM/gernet_l
((T([128, 640, 8, 8], f16), T([128, 640, 8, 8], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 672, 12, 12], f16), T([128, 672, 12, 12], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16)), {})
aten.add.Tensor
TIMM/hardcorenas_a
((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16)), {})
aten.add.Tensor
TIMM/mobilenetv3_large_100
((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 672, 6, 6], f16), T([128, 672, 6, 6], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 672, 7, 7], f16), T([128, 672, 7, 7], f16)), {})
aten.add.Tensor
TIMM/hardcorenas_a
((T([128, 672, 7, 7], f16), T([128, 672, 7, 7], f16)), {})
aten.add.Tensor
TIMM/mobilenetv3_large_100
((T([128, 672, 7, 7], f16), T([128, 672, 7, 7], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 672, 7, 7], f16), T([128, 672, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 702, 14, 14], f16), T([128, 702, 14, 14], f16)), {})
aten.add.Tensor
TIMM/fbnetv3_b
((T([128, 72, 14, 14], f16), T([128, 72, 14, 14], f16)), {})
aten.add.Tensor
TIMM/hrnet_w18
((T([128, 72, 14, 14], f16), T([128, 72, 14, 14], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 72, 14, 14], f16, stride=(16464, 196, 14, 1)), T([128, 72, 14, 14], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 72, 28, 28], f16), T([128, 72, 28, 28], f16)), {})
aten.add.Tensor
TIMM/mobilenetv3_large_100
((T([128, 72, 28, 28], f16), T([128, 72, 28, 28], f16)), {})
aten.add.Tensor
TIMM/selecsls42b
((T([128, 72, 28, 28], f16, stride=(225792, 784, 28, 1)), T([128, 72, 28, 28], f16)), {})
aten.add.Tensor
TIMM/selecsls42b
((T([128, 72, 28, 28], f16, stride=(338688, 784, 28, 1)), T([128, 72, 28, 28], f16)), {})
aten.add.Tensor
TIMM/hardcorenas_a
((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16)), {})
aten.add.Tensor
TIMM/fbnetv3_b
((T([128, 720, 7, 7], f16), T([128, 720, 7, 7], f16)), {})
aten.add.Tensor
TIMM/fbnetv3_b
((T([128, 736, 7, 7], f16), T([128, 736, 7, 7], f16)), {})
aten.add.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 768, 14, 14], f16), T([128, 768, 14, 14], f16)), {})
aten.add.Tensor
TIMM/adv_inception_v3
((T([128, 768, 17, 17], f16), T([128, 768, 17, 17], f16)), {})
aten.add.Tensor
TIMM/gluon_inception_v3
((T([128, 768, 17, 17], f16), T([128, 768, 17, 17], f16)), {})
aten.add.Tensor
TIMM/inception_v3
((T([128, 768, 17, 17], f16), T([128, 768, 17, 17], f16)), {})
aten.add.Tensor
TIMM/visformer_small
((T([128, 768, 7, 7], f16), T([1, 768, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 768, 7, 7], f16), T([128, 768, 7, 7], f16)), {})
aten.add.Tensor
TIMM/visformer_small
((T([128, 768, 7, 7], f16), T([128, 768, 7, 7], f16)), {})
aten.add.Tensor
TIMM/ese_vovnet19b_dw
((T([128, 768, 7, 7], f16, stride=(70560, 49, 7, 1)), T([128, 768, 7, 7], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 785, 128], f16), T([128, 785, 128], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 8, 112, 112], f16, stride=(200704, 12544, 112, 1)), T([128, 8, 112, 112], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 8, 197, 40], f16), T([128, 8, 197, 40], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 8, 3137, 8], f16), T([128, 8, 3137, 8], f16)), {})
aten.add.Tensor
TIMM/levit_128
((T([128, 8, 49, 196], f16), T([8, 49, 196], f16)), {})
aten.add.Tensor
TIMM/levit_128
((T([128, 8, 49, 49], f16), T([8, 49, 49], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 8, 50, 64], f16), T([128, 8, 50, 64], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128, 8, 785, 16], f16), T([128, 8, 785, 16], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 80, 12, 12], f16), T([128, 80, 12, 12], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16)), {})
aten.add.Tensor
TIMM/hardcorenas_a
((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16)), {})
aten.add.Tensor
TIMM/mnasnet_100
((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16)), {})
aten.add.Tensor
TIMM/mobilenetv3_large_100
((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16)), {})
aten.add.Tensor
TIMM/spnasnet_100
((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 80, 14, 14], f16), T([128, 80, 14, 14], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 80, 7, 7], f16, stride=(7840, 49, 7, 1)), T([128, 80, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 84, 14, 14], f16), T([128, 84, 14, 14], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 84, 14, 14], f16, stride=(18620, 196, 14, 1)), T([128, 84, 14, 14], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 840, 7, 7], f16), T([128, 840, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 906, 7, 7], f16), T([128, 906, 7, 7], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 92, 14, 14], f16, stride=(36064, 196, 14, 1)), T([128, 92, 14, 14], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 95, 14, 14], f16), T([128, 95, 14, 14], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 95, 14, 14], f16, stride=(20776, 196, 14, 1)), T([128, 95, 14, 14], f16)), {})
aten.add.Tensor
TIMM/mnasnet_100
((T([128, 96, 14, 14], f16), T([128, 96, 14, 14], f16)), {})
aten.add.Tensor
TIMM/mobilenetv2_100
((T([128, 96, 14, 14], f16), T([128, 96, 14, 14], f16)), {})
aten.add.Tensor
TIMM/spnasnet_100
((T([128, 96, 14, 14], f16), T([128, 96, 14, 14], f16)), {})
aten.add.Tensor
TIMM/tinynet_a
((T([128, 96, 48, 48], f16), T([128, 96, 48, 48], f16)), {})
aten.add.Tensor
TIMM/repvgg_a2
((T([128, 96, 56, 56], f16), T([128, 96, 56, 56], f16)), {})
aten.add.Tensor
TIMM/tf_efficientnet_b0
((T([128, 96, 56, 56], f16), T([128, 96, 56, 56], f16)), {})
aten.add.Tensor
TIMM/ghostnet_100
((T([128, 960, 7, 7], f16), T([128, 960, 7, 7], f16)), {})
aten.add.Tensor
TIMM/mobilenetv3_large_100
((T([128, 960, 7, 7], f16), T([128, 960, 7, 7], f16)), {})
aten.add.Tensor
TIMM/rexnet_100
((T([128, 972, 7, 7], f16), T([128, 972, 7, 7], f16)), {})
aten.add.Tensor
HuggingFace/DebertaV2ForMaskedLM
((T([128100, 1536], f16), T([128100, 1536], f16)), {})
aten.add.Tensor
HuggingFace/M2M100ForConditionalGeneration
((T([128112, 1024], f16), T([128112, 1024], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([128], f16), T([128], f16)), {})
aten.add.Tensor
HuggingFace/BlenderbotSmallForCausalLM
((T([128], i64), 1), {})
aten.add.Tensor
HuggingFace/BlenderbotSmallForConditionalGeneration
((T([128], i64), 1), {})
aten.add.Tensor
HuggingFace/M2M100ForConditionalGeneration
((T([128], i64), 1), {})
aten.add.Tensor
HuggingFace/MBartForCausalLM
((T([128], i64), 1), {})
aten.add.Tensor
HuggingFace/MBartForConditionalGeneration
((T([128], i64), 1), {})
aten.add.Tensor
HuggingFace/OPTForCausalLM
((T([128], i64), 1), {})
aten.add.Tensor
HuggingFace/PLBartForCausalLM
((T([128], i64), 1), {})
aten.add.Tensor
HuggingFace/PLBartForConditionalGeneration
((T([128], i64), 1), {})
aten.add.Tensor
HuggingFace/PegasusForCausalLM
((T([128], i64), 1), {})
aten.add.Tensor
HuggingFace/PegasusForConditionalGeneration
((T([128], i64), 1), {})
aten.add.Tensor
HuggingFace/Speech2Text2ForCausalLM
((T([128], i64), 1), {})
aten.add.Tensor
HuggingFace/TrOCRForCausalLM
((T([128], i64), 1), {})
aten.add.Tensor
HuggingFace/XGLMForCausalLM
((T([128], i64), 1), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([1406, 1, 4], i32), T([1, 3, 4], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([1438452, 1], f16), T([1438452, 1], f16)), {})
aten.add.Tensor
TorchBench/vision_maskrcnn
((T([1438452], f16, stride=(4,)), T([1438452], f16)), {})
aten.add.Tensor
TIMM/coat_lite_mini
((T([16, 1, 3, 3], f16), T([16, 1, 3, 3], f16)), {})