operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 512, 8, 8], f16), T([640, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 53, 1, 1], f16), T([636, 53, 1, 1], f16), T([636], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 56, 1, 1], f16), T([6, 56, 1, 1], f16), T([6], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 56, 14, 14], f16), T([56, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 56), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 56, 14, 14], f16), T([56, 56, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 56, 14, 14], f16, stride=(87808, 196, 14, 1)), T([56, 56, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 56, 28, 28], f16), T([152, 56, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 56, 28, 28], f16), T([152, 56, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 56, 28, 28], f16), T([56, 56, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 56, 28, 28], f16, stride=(351232, 784, 28, 1)), T([56, 56, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 56, 56, 56], f16), T([56, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 7), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 570, 1, 1], f16), T([47, 570, 1, 1], f16), T([47], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 570, 14, 14], f16), T([106, 570, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 570, 14, 14], f16), T([570, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 570), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 576, 14, 14], f16), T([576, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 576), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 576, 14, 14], f16), T([576, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 576), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 576, 14, 14], f16), T([576, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 576), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 576, 14, 14], f16), T([576, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 576), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 576, 14, 14], f16), T([576, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 576), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 576, 14, 14], f16), T([96, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 576, 14, 14], f16), T([96, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 576, 7, 7], f16), T([160, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 576, 7, 7], f16), T([192, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 576, 7, 7], f16), T([192, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 58, 1, 1], f16), T([702, 58, 1, 1], f16), T([702], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 58, 28, 28], f16), T([58, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 58), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 58, 28, 28], f16), T([58, 58, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 58, 28, 28], f16, stride=(90944, 784, 28, 1)), T([58, 58, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 58, 56, 56], f16), T([58, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 58), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 6, 1, 1], f16), T([144, 6, 1, 1], f16), T([144], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 6, 1, 1], f16), T([144, 6, 1, 1], f16), T([144], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 6, 1, 1], f16), T([56, 6, 1, 1], f16), T([56], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 60, 28, 28], f16), T([60, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 60), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 608, 14, 14], f16), T([304, 608, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 61, 28, 28], f16), T([366, 61, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 636, 1, 1], f16), T([53, 636, 1, 1], f16), T([53], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 636, 14, 14], f16), T([117, 636, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 636, 14, 14], f16), T([636, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 636), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 64, 1, 1], f16), T([240, 64, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 64, 1, 1], f16), T([256, 64, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 64, 1, 1], f16), T([256, 64, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 64, 1, 1], f16), T([768, 64, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 64, 112, 112], f16), T([128, 64, 3, 3], f16), T([128], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 64, 112, 112], f16), T([64, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 64, 112, 112], f16), T([64, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 64, 112, 112], f16), T([64, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 64, 112, 112], f16), T([64, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 64), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 64, 112, 112], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 64, 112, 112], f16), T([64, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 64, 112, 112], f16), T([96, 64, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 64, 112, 112], f16), T([96, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 64, 14, 14], f16), T([128, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 64, 14, 14], f16), T([192, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 64, 14, 14], f16), T([384, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 64, 14, 14], f16), T([384, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/alexnet
((T([128, 64, 27, 27], f16), T([192, 64, 5, 5], f16), T([192], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/levit_128
((T([128, 64, 28, 28], f16), T([128, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 64, 28, 28], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 64, 28, 28], f16), T([64, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 64, 28, 28], f16), T([64, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 64, 28, 28], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 64, 28, 28], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 64, 28, 28], f16), T([64, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/res2next50
((T([128, 64, 28, 28], f16, stride=(200704, 784, 28, 1)), T([64, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 64, 35, 35], f16), T([96, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 64, 35, 35], f16), T([96, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 64, 35, 35], f16), T([96, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 64, 56, 56], f16), T([112, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 64, 56, 56], f16), T([128, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 64, 56, 56], f16), T([128, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnet18
((T([128, 64, 56, 56], f16), T([128, 64, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 64, 56, 56], f16), T([128, 64, 2, 2], f16), T([128], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnet18
((T([128, 64, 56, 56], f16), T([128, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 64, 56, 56], f16), T([24, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 64, 56, 56], f16), T([24, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 64, 56, 56], f16), T([256, 64, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 64, 56, 56], f16), T([32, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 64, 56, 56], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 64, 56, 56], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 64, 56, 56], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 64, 56, 56], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnet18
((T([128, 64, 56, 56], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 64, 56, 56], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 64, 56, 56], f16), T([64, 64, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 64, 56, 56], f16, stride=(200768, 1, 3584, 64)), T([64, 1, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})
aten.convolution.default
TIMM/res2next50
((T([128, 64, 56, 56], f16, stride=(802816, 3136, 56, 1)), T([64, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 64, 64, 64], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 64, 64, 64], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 64, 64, 64], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 64, 64, 64], f16), T([64, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 4), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 64, 64, 64], f16), T([64, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 4), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 64, 64, 64], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 64, 64, 64], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 64, 64, 64], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 64, 64, 64], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 64, 73, 73], f16), T([80, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 64, 73, 73], f16), T([80, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})