operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.convolution.default
TIMM/resnest101e
((T([32, 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
TorchBench/timm_resnest
((T([32, 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/resnest101e
((T([32, 64, 1, 1], f16), T([32, 64, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_resnest
((T([32, 64, 1, 1], f16), T([32, 64, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_senet154
((T([32, 64, 112, 112], f16), T([128, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/legacy_senet154
((T([32, 64, 112, 112], f16), T([128, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_vovnet
((T([32, 64, 112, 112], f16), T([128, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 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/gluon_senet154
((T([32, 64, 112, 112], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/legacy_senet154
((T([32, 64, 112, 112], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_vovnet
((T([32, 64, 112, 112], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnest101e
((T([32, 64, 128, 128], f16), T([128, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnest101e
((T([32, 64, 128, 128], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/squeezenet1_1
((T([32, 64, 13, 13], f16), T([256, 64, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/squeezenet1_1
((T([32, 64, 13, 13], f16), T([256, 64, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_xception65
((T([32, 64, 150, 150], f16), T([128, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_xception65
((T([32, 64, 150, 150], f16), T([128, 64, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_xception65
((T([32, 64, 150, 150], f16), T([64, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {})
aten.convolution.default
TorchBench/dcgan
((T([32, 64, 32, 32], f16), T([128, 64, 4, 4], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/squeezenet1_1
((T([32, 64, 55, 55], f16), T([16, 64, 1, 1], f16), T([16], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_resnest
((T([32, 64, 56, 56], f16), T([128, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})
aten.convolution.default
TIMM/twins_pcpvt_base
((T([32, 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
TorchBench/mobilenet_v3_large
((T([32, 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/swsl_resnext101_32x16d
((T([32, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/resnet50
((T([32, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_resnest
((T([32, 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/swsl_resnext101_32x16d
((T([32, 64, 56, 56], f16), T([512, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/resnet50
((T([32, 64, 56, 56], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_resnest
((T([32, 64, 56, 56], f16), T([64, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/resnet50
((T([32, 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/twins_pcpvt_base
((T([32, 64, 56, 56], f16, stride=(200704, 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/twins_pcpvt_base
((T([32, 64, 56, 56], f16, stride=(200704, 1, 3584, 64)), T([64, 64, 8, 8], f16), T([64], f16), [8, 8], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/resnest101e
((T([32, 64, 64, 64], f16), T([128, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {})
aten.convolution.default
TIMM/resnest101e
((T([32, 64, 64, 64], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 672, 1, 1], f16), T([168, 672, 1, 1], f16), T([168], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientnet
((T([32, 672, 1, 1], f16), T([28, 672, 1, 1], f16), T([28], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 672, 14, 14], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientnet
((T([32, 672, 14, 14], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 672, 14, 14], f16), T([672, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TorchBench/timm_efficientnet
((T([32, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TorchBench/timm_efficientnet
((T([32, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 672, 7, 7], f16), T([160, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientnet
((T([32, 672, 7, 7], f16), T([192, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dpn107
((T([32, 704, 28, 28], f16), T([400, 704, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 72, 1, 1], f16), T([24, 72, 1, 1], f16), T([24], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mnasnet1_0
((T([32, 72, 28, 28], f16), T([40, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 72, 28, 28], f16), T([40, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mnasnet1_0
((T([32, 72, 56, 56], f16), T([24, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 72, 56, 56], f16), T([24, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mnasnet1_0
((T([32, 72, 56, 56], f16), T([72, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 72), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 72, 56, 56], f16), T([72, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 72), {})
aten.convolution.default
TorchBench/mnasnet1_0
((T([32, 72, 56, 56], f16), T([72, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 72), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 72, 56, 56], f16), T([72, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 72), {})
aten.convolution.default
TIMM/gluon_xception65
((T([32, 728, 19, 19], f16), T([1024, 728, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_xception65
((T([32, 728, 19, 19], f16), T([1024, 728, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_xception65
((T([32, 728, 19, 19], f16), T([728, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 728), {})
aten.convolution.default
TIMM/gluon_xception65
((T([32, 728, 19, 19], f16), T([728, 728, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_xception65
((T([32, 728, 38, 38], f16), T([728, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 728), {})
aten.convolution.default
TIMM/gluon_xception65
((T([32, 728, 38, 38], f16), T([728, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 728), {})
aten.convolution.default
TIMM/gluon_xception65
((T([32, 728, 38, 38], f16), T([728, 728, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_vovnet
((T([32, 768, 14, 14], f16), T([192, 768, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dpn107
((T([32, 768, 28, 28], f16), T([400, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/convmixer_768_32
((T([32, 768, 32, 32], f16), T([768, 1, 7, 7], f16), T([768], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 768), {})
aten.convolution.default
TIMM/convmixer_768_32
((T([32, 768, 32, 32], f16), T([768, 768, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_vovnet
((T([32, 768, 56, 56], f16), T([256, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_vovnet
((T([32, 768, 7, 7], f16), T([224, 768, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_regnet
((T([32, 8, 1, 1], f16), T([224, 8, 1, 1], f16), T([224], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientnet
((T([32, 8, 1, 1], f16), T([32, 8, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 80, 14, 14], f16), T([184, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 80, 14, 14], f16), T([200, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mnasnet1_0
((T([32, 80, 14, 14], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 80, 14, 14], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientnet
((T([32, 80, 14, 14], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dpn107
((T([32, 800, 14, 14], f16), T([1088, 800, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dpn107
((T([32, 800, 14, 14], f16), T([800, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 50), {})
aten.convolution.default
TIMM/dpn107
((T([32, 800, 28, 28], f16), T([800, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 50), {})
aten.convolution.default
TIMM/dpn107
((T([32, 832, 28, 28], f16), T([400, 832, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_regnet
((T([32, 896, 1, 1], f16), T([112, 896, 1, 1], f16), T([112], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_regnet
((T([32, 896, 1, 1], f16), T([224, 896, 1, 1], f16), T([224], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_regnet
((T([32, 896, 14, 14], f16), T([2240, 896, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_regnet
((T([32, 896, 14, 14], f16), T([2240, 896, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_regnet
((T([32, 896, 14, 14], f16), T([896, 112, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TorchBench/timm_regnet
((T([32, 896, 14, 14], f16), T([896, 896, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dpn107
((T([32, 896, 28, 28], f16), T([400, 896, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_regnet
((T([32, 896, 28, 28], f16), T([896, 112, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TorchBench/timm_efficientnet
((T([32, 96, 1, 1], f16), T([4, 96, 1, 1], f16), T([4], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientnet
((T([32, 96, 112, 112], f16), T([96, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 96), {})
aten.convolution.default
TorchBench/mnasnet1_0
((T([32, 96, 14, 14], f16), T([576, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientnet
((T([32, 96, 56, 56], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 960, 1, 1], f16), T([240, 960, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dpn107
((T([32, 960, 28, 28], f16), T([400, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 960, 7, 7], f16), T([160, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/mobilenet_v3_large
((T([32, 960, 7, 7], f16), T([960, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 960), {})
aten.convolution.default
TorchBench/densenet121
((T([4, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/vision_maskrcnn
((T([4, 1024, 74, 76], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/vision_maskrcnn
((T([4, 1024, 74, 76], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/vision_maskrcnn
((T([4, 1024, 74, 76], f16), T([256, 1024, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/vision_maskrcnn
((T([4, 1024, 74, 76], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/densenet121
((T([4, 128, 14, 14], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})