operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 1104, 7, 7], f16), T([1104, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1104), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 1104, 7, 7], f16), T([184, 1104, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 1104, 7, 7], f16), T([224, 1104, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 1104, 7, 7], f16), T([352, 1104, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 112, 12, 12], f16), T([672, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 112, 14, 14], f16), T([112, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 112), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 112, 14, 14], f16), T([336, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 112, 14, 14], f16), T([336, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 112, 14, 14], f16, stride=(175616, 196, 14, 1)), T([112, 112, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 112, 56, 56], f16), T([256, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 112, 7, 7], f16), T([112, 112, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 112, 7, 7], f16), T([160, 112, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 112, 7, 7], f16, stride=(43904, 49, 7, 1)), T([112, 112, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 1152, 1, 1], f16), T([288, 1152, 1, 1], f16), T([288], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 1152, 1, 1], f16), T([48, 1152, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 1152, 1, 1], f16), T([48, 1152, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 1152, 6, 6], f16), T([1152, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1152), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 1152, 6, 6], f16), T([1152, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1152), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 1152, 6, 6], f16), T([192, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 1152, 6, 6], f16), T([320, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1152), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1152), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1152), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1152), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1152), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1152), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1152), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 1152, 7, 7], f16), T([192, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 1152, 7, 7], f16), T([320, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 116, 14, 14], f16), T([116, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 116), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 116, 14, 14], f16), T([116, 116, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 116, 14, 14], f16, stride=(45472, 196, 14, 1)), T([116, 116, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 116, 28, 28], f16), T([116, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 116), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 116, 28, 28], f16), T([116, 116, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 117, 14, 14], f16), T([702, 117, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 12, 56, 56], f16), T([12, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 12), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 120, 1, 1], f16), T([16, 120, 1, 1], f16), T([16], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 120, 1, 1], f16), T([32, 120, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 120, 1, 1], f16), T([32, 120, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 120, 1, 1], f16), T([480, 120, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 120, 1, 1], f16), T([480, 120, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 120, 1, 1], f16), T([480, 120, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 120, 1, 1], f16), T([8, 120, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 120, 14, 14], f16), T([360, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 120, 14, 14], f16), T([720, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 120, 14, 14], f16, stride=(189120, 1, 13440, 960)), T([120, 1, 5, 5], f16), T([120], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 120, 14, 14], f16, stride=(189120, 1, 13440, 960)), T([120, 1, 7, 7], f16), T([120], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 120, 28, 28], f16), T([120, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 120, 28, 28], f16), T([120, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 120, 28, 28], f16), T([120, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 120, 28, 28], f16), T([120, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 120, 28, 28], f16), T([120, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 120, 28, 28], f16), T([20, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 120, 28, 28], f16), T([40, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 120, 28, 28], f16), T([40, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 120, 28, 28], f16), T([40, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 120, 28, 28], f16), T([40, 120, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 120, 56, 56], f16), T([120, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 128, 1, 1], f16), T([256, 128, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 128, 1, 1], f16), T([256, 128, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 128, 1, 1], f16), T([32, 128, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 128, 1, 1], f16), T([512, 128, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 128, 14, 14], f16), T([128, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 128), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 128, 14, 14], f16), T([128, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 128), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 128, 14, 14], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 128, 14, 14], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 128, 14, 14], f16), T([128, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 128, 14, 14], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 128, 14, 14], f16), T([768, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 128, 14, 14], f16, stride=(100352, 196, 14, 1)), T([128, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 128, 17, 17], f16), T([128, 128, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 128, 17, 17], f16), T([128, 128, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 128, 17, 17], f16), T([128, 128, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 128, 17, 17], f16), T([128, 128, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 128, 17, 17], f16), T([128, 128, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 128, 17, 17], f16), T([128, 128, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 128, 17, 17], f16), T([192, 128, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 128, 17, 17], f16), T([192, 128, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 128, 17, 17], f16), T([192, 128, 1, 7], f16), None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 128, 17, 17], f16), T([192, 128, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 128, 17, 17], f16), T([192, 128, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 128, 17, 17], f16), T([192, 128, 7, 1], f16), None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnet18
((T([128, 128, 28, 28], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 128, 28, 28], f16), T([128, 64, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})
aten.convolution.default
TIMM/resnet18
((T([128, 128, 28, 28], f16), T([256, 128, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnet18
((T([128, 128, 28, 28], f16), T([256, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 128, 28, 28], f16), T([320, 128, 2, 2], f16), T([320], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nfnet_l0
((T([128, 128, 28, 28], f16), T([512, 128, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 128, 28, 28], f16, stride=(100480, 1, 3584, 128)), T([128, 1, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 128), {})
aten.convolution.default
TIMM/res2next50
((T([128, 128, 28, 28], f16, stride=(401408, 784, 28, 1)), T([128, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 128, 32, 32], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})