operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 448, 14, 14], f16), T([1024, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 448, 56, 56], f16), T([256, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 448, 8, 8], f16), T([384, 448, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 448, 8, 8], f16), T([384, 448, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 448, 8, 8], f16), T([384, 448, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 464, 7, 7], f16), T([1024, 464, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 47, 1, 1], f16), T([570, 47, 1, 1], f16), T([570], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 48, 1, 1], f16), T([1104, 48, 1, 1], f16), T([1104], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), T([1152], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), T([1152], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 48, 1, 1], f16), T([736, 48, 1, 1], f16), T([736], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 48, 112, 112], f16), T([48, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 48), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 48, 112, 112], f16), T([48, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 48), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 48, 112, 112], f16), T([48, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 48), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 48, 112, 112], f16), T([48, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 48), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 48, 28, 28], f16, stride=(301440, 1, 10752, 384)), T([48, 1, 5, 5], f16), T([48], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 48), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 48, 28, 28], f16, stride=(301440, 1, 10752, 384)), T([48, 1, 7, 7], f16), T([48], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 48), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 48, 35, 35], f16), T([64, 48, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 48, 35, 35], f16), T([64, 48, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 48, 35, 35], f16), T([64, 48, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 48, 56, 56], f16), T([12, 48, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 48, 56, 56], f16), T([24, 48, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 48, 56, 56], f16), T([24, 48, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 48, 56, 56], f16), T([24, 48, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 48, 56, 56], f16), T([24, 48, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 48, 56, 56], f16), T([48, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 48), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 480, 1, 1], f16), T([120, 480, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 480, 1, 1], f16), T([120, 480, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 480, 1, 1], f16), T([120, 480, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 480, 1, 1], f16), T([20, 480, 1, 1], f16), T([20], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 480, 1, 1], f16), T([20, 480, 1, 1], f16), T([20], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 480, 12, 12], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 480, 12, 12], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 480, 12, 12], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 480, 12, 12], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 480, 14, 14], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 480, 14, 14], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 480, 14, 14], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 480, 14, 14], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 480, 14, 14], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 480, 14, 14], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 480, 14, 14], f16), T([56, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 480, 14, 14], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 480, 14, 14], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 480, 14, 14], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 480, 14, 14], f16), T([96, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 480, 14, 14], f16), T([96, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 480, 14, 14], f16), T([960, 480, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 480, 7, 7], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 50, 28, 28], f16), T([300, 50, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 504, 1, 1], f16), T([42, 504, 1, 1], f16), T([42], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 504, 14, 14], f16), T([504, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 504), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 504, 14, 14], f16), T([95, 504, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 512, 1, 1], f16), T([128, 512, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 512, 1, 1], f16), T([256, 512, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 512, 1, 1], f16), T([256, 512, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 512, 1, 1], f16), T([512, 512, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 512, 12, 12], f16), T([1536, 512, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 512, 12, 12], f16), T([1536, 512, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 512, 14, 14], f16), T([1024, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 512, 14, 14], f16), T([1024, 512, 3, 3], f16), T([1024], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 512, 14, 14], f16), T([1536, 512, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 512, 14, 14], f16), T([192, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 512, 16, 16], f16), T([128, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 512, 16, 16], f16), T([1536, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 512, 16, 16], f16), T([640, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 512, 16, 16], f16), T([640, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 512, 24, 24], f16), T([256, 512, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 512, 24, 24], f16), T([256, 512, 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, 512, 24, 24], f16), T([768, 512, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 512, 24, 24], f16), T([768, 512, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 512, 28, 28], f16), T([128, 512, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 512, 28, 28], f16), T([224, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 512, 28, 28], f16), T([384, 512, 1, 1], f16), T([384], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 512, 28, 28], f16), T([448, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 512, 28, 28], f16), T([512, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 512, 32, 32], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 512, 32, 32], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 512, 32, 32], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 512, 32, 32], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 512, 32, 32], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 512, 32, 32], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 512, 32, 32], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 512, 32, 32], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 512, 32, 32], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnet18
((T([128, 512, 7, 7], f16), T([512, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 512, 7, 7], f16, stride=(25600, 1, 3584, 512)), T([512, 1, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 512), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 512, 8, 8], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 512, 8, 8], f16), T([1536, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 512, 8, 8], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 512, 8, 8], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 512, 8, 8], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 512, 8, 8], f16), T([640, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})