operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 768, 6, 6], f16), T([1536, 768, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 768, 6, 6], f16), T([1536, 768, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 768, 6, 6], f16), T([768, 128, 3, 3], f16), T([768], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 6), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 768, 6, 6], f16), T([768, 128, 3, 3], f16), T([768], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 6), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 768, 7, 7], f16), T([140, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 768, 7, 7], f16), T([224, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/visformer_small
((T([128, 768, 7, 7], f16), T([2304, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/visformer_small
((T([128, 768, 7, 7], f16), T([3072, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/visformer_small
((T([128, 768, 7, 7], f16), T([768, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 8, 1, 1], f16), T([120, 8, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 8, 1, 1], f16), T([24, 8, 1, 1], f16), T([24], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 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
TIMM/tinynet_a
((T([128, 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
TIMM/lcnet_050
((T([128, 8, 112, 112], f16), T([16, 8, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 8, 112, 112], f16), T([8, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/lcnet_050
((T([128, 8, 112, 112], f16), T([8, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 8), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 80, 12, 12], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 80, 14, 14], f16), T([100, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 80, 14, 14], f16), T([112, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 80, 14, 14], f16), T([184, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 80, 14, 14], f16), T([200, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 80, 14, 14], f16), T([240, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 80, 14, 14], f16), T([240, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 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/mnasnet_100
((T([128, 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/mobilenetv3_large_100
((T([128, 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/spnasnet_100
((T([128, 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/tf_efficientnet_b0
((T([128, 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/ghostnet_100
((T([128, 80, 14, 14], f16), T([80, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 80), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 80, 14, 14], f16), T([92, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 80, 14, 14], f16, stride=(189120, 1, 13440, 960)), T([80, 1, 3, 3], f16), T([80], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 80), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 80, 7, 7], f16), T([80, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 80), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 80, 73, 73], f16), T([192, 80, 3, 3], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 80, 73, 73], f16), T([192, 80, 3, 3], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 80, 73, 73], f16), T([192, 80, 3, 3], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 81, 1, 1], f16), T([972, 81, 1, 1], f16), T([972], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 84, 14, 14], f16), T([504, 84, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 840, 1, 1], f16), T([70, 840, 1, 1], f16), T([70], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 840, 7, 7], f16), T([151, 840, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 840, 7, 7], f16), T([840, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 840), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 87, 1, 1], f16), T([1044, 87, 1, 1], f16), T([1044], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 896, 7, 7], f16), T([2048, 896, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 906, 1, 1], f16), T([75, 906, 1, 1], f16), T([75], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 906, 7, 7], f16), T([162, 906, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 906, 7, 7], f16), T([906, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 906), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 912, 14, 14], f16), T([480, 912, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 92, 1, 1], f16), T([368, 92, 1, 1], f16), T([368], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 92, 14, 14], f16), T([92, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 92), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 95, 14, 14], f16), T([570, 95, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 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
TIMM/tinynet_a
((T([128, 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
TIMM/fbnetc_100
((T([128, 96, 112, 112], f16), T([96, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 96), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 96, 112, 112], f16), T([96, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 96), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 96, 112, 112], f16), T([96, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 96), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 96, 113, 113], f16), T([96, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 96), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 96, 14, 14], f16), T([288, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 96, 14, 14], f16), T([576, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 96, 14, 14], f16), T([576, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 96, 14, 14], f16), T([576, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 96, 28, 28], f16), T([32, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 96, 28, 28], f16), T([96, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 96), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 96, 35, 35], f16), T([96, 96, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 96, 48, 48], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 96, 56, 56], f16), T([192, 96, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 96, 56, 56], f16), T([192, 96, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 96, 56, 56], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 96, 56, 56], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 96, 56, 56], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 96, 56, 56], f16), T([27, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 96, 56, 56], f16), T([96, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 96, 56, 56], f16), T([96, 96, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 96, 96, 96], f16), T([96, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 96), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 960, 1, 1], f16), T([1280, 960, 1, 1], f16), T([1280], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 960, 1, 1], f16), T([1280, 960, 1, 1], f16), T([1280], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 960, 1, 1], f16), T([1280, 960, 1, 1], f16), T([1280], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 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/mobilenetv3_large_100
((T([128, 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/selecsls42b
((T([128, 960, 7, 7], f16), T([1024, 960, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 960, 7, 7], f16), T([160, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 960, 7, 7], f16), T([160, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 960, 7, 7], f16), T([320, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 960, 7, 7], f16), T([80, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 960, 7, 7], f16), T([960, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 960), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 960, 7, 7], f16), T([960, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 960), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 972, 1, 1], f16), T([81, 972, 1, 1], f16), T([81], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 972, 7, 7], f16), T([174, 972, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 972, 7, 7], f16), T([972, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 972), {})
aten.convolution.default
TIMM/nasnetalarge
((T([16, 1008, 21, 21], f16), T([168, 1008, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nasnetalarge
((T([16, 1008, 42, 42], f16), T([168, 1008, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/nasnetalarge
((T([16, 1008, 42, 42], f16), T([336, 1008, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/pnasnet5large
((T([16, 108, 42, 42], f16), T([108, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 108), {})
aten.convolution.default
TIMM/pnasnet5large
((T([16, 108, 42, 42], f16), T([108, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 108), {})
aten.convolution.default
TIMM/pnasnet5large
((T([16, 108, 42, 42], f16), T([108, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 108), {})
aten.convolution.default
TIMM/pnasnet5large
((T([16, 108, 42, 42], f16), T([108, 108, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/pnasnet5large
((T([16, 108, 83, 83], f16), T([108, 108, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})