operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.convolution.default
TIMM/tinynet_a
((T([128, 240, 1, 1], f16), T([10, 240, 1, 1], f16), T([10], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 240, 1, 1], f16), T([64, 240, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 240, 1, 1], f16), T([960, 240, 1, 1], f16), T([960], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 240, 1, 1], f16), T([960, 240, 1, 1], f16), T([960], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 240, 12, 12], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 240, 14, 14], f16), T([240, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 240, 14, 14], f16), T([240, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 240, 14, 14], f16), T([40, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 240, 24, 24], f16), T([240, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 240, 24, 24], f16), T([240, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 240, 24, 24], f16), T([40, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 240, 28, 28], f16), T([240, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 240, 28, 28], f16), T([240, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 240, 28, 28], f16), T([40, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 240, 28, 28], f16), T([40, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 240, 29, 29], f16), T([240, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 25, 1, 1], f16), T([300, 25, 1, 1], f16), T([300], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 256, 1, 1], f16), T([128, 256, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 256, 1, 1], f16), T([128, 256, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 256, 1, 1], f16), T([1280, 256, 1, 1], f16), T([1280], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 256, 1, 1], f16), T([256, 256, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 256, 1, 1], f16), T([512, 256, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 256, 1, 1], f16), T([512, 256, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 256, 1, 1], f16), T([64, 256, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 256, 1, 1], f16), T([64, 256, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/alexnet
((T([128, 256, 13, 13], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnet18
((T([128, 256, 14, 14], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnet18
((T([128, 256, 14, 14], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnet18
((T([128, 256, 14, 14], f16), T([512, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 256, 14, 14], f16, stride=(200704, 196, 14, 1)), T([256, 32, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 256, 16, 16], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 256, 16, 16], f16), T([384, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 256, 16, 16], f16), T([384, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 256, 16, 16], f16), T([768, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 256, 24, 24], f16), T([256, 128, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 256, 24, 24], f16), T([256, 128, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 256, 24, 24], f16), T([512, 256, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 256, 24, 24], f16), T([512, 256, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 256, 28, 28], f16), T([160, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 256, 28, 28], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 256, 28, 28], f16), T([512, 256, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 256, 28, 28], f16), T([512, 256, 3, 3], f16), T([512], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 256, 32, 32], f16), T([256, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 16), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 256, 32, 32], f16), T([256, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 16), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 256, 32, 32], f16), T([256, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 256, 35, 35], f16), T([48, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 256, 35, 35], f16), T([48, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 256, 35, 35], f16), T([48, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 256, 35, 35], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 256, 35, 35], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 256, 35, 35], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 256, 48, 48], f16), T([256, 256, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 256, 48, 48], f16), T([256, 256, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 256, 49, 49], f16), T([256, 128, 3, 3], f16), T([256], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 2), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 256, 49, 49], f16), T([256, 128, 3, 3], f16), T([256], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 2), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 256, 56, 56], f16), T([112, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 256, 56, 56], f16), T([128, 256, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 256, 56, 56], f16), T([18, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 256, 56, 56], f16), T([224, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 256, 56, 56], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 256, 56, 56], f16), T([36, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 256, 56, 56], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 256, 56, 56], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 256, 56, 56], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 256, 64, 64], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 256, 64, 64], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 256, 64, 64], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 256, 64, 64], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 256, 64, 64], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 256, 64, 64], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 256, 64, 64], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 256, 64, 64], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 256, 64, 64], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 256, 7, 7], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 256, 7, 7], f16), T([256, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 256), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 256, 7, 7], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 256, 7, 7], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 256, 7, 7], f16), T([256, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/res2next50
((T([128, 256, 7, 7], f16, stride=(50176, 49, 7, 1)), T([256, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 27, 56, 56], f16), T([162, 27, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 28, 1, 1], f16), T([672, 28, 1, 1], f16), T([672], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 28, 1, 1], f16), T([672, 28, 1, 1], f16), T([672], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 28, 28, 28], f16), T([28, 28, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 28, 28, 28], f16, stride=(175616, 784, 28, 1)), T([28, 28, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 28, 56, 56], f16, stride=(702464, 3136, 56, 1)), T([28, 28, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 288, 1, 1], f16), T([1152, 288, 1, 1], f16), T([1152], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})