operator name
stringclasses
180 values
used in model
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155 values
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19
5.24k
aten.convolution.default
TIMM/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/dm_nfnet_f0
((T([128, 64, 97, 97], f16), T([128, 64, 3, 3], f16), T([128], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 64, 97, 97], f16), T([128, 64, 3, 3], f16), T([128], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 640, 16, 16], f16), T([160, 640, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 640, 16, 16], f16), T([1920, 640, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 640, 16, 16], f16), T([640, 640, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 640, 8, 8], f16), T([1920, 640, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 640, 8, 8], f16), T([2560, 640, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 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
TIMM/hardcorenas_a
((T([128, 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
TIMM/mobilenetv3_large_100
((T([128, 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
TIMM/tf_efficientnet_b0
((T([128, 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
TIMM/tinynet_a
((T([128, 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
TIMM/tinynet_a
((T([128, 672, 12, 12], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 672, 12, 12], f16), T([672, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 672, 12, 12], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 672, 14, 14], f16), T([56, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 672, 14, 14], f16), T([672, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 672, 17, 17], f16), T([672, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 672, 6, 6], f16), T([192, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 672, 7, 7], f16), T([160, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 672, 7, 7], f16), T([184, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 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/tf_efficientnet_b0
((T([128, 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/ghostnet_100
((T([128, 672, 7, 7], f16), T([80, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 70, 1, 1], f16), T([840, 70, 1, 1], f16), T([840], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 702, 1, 1], f16), T([58, 702, 1, 1], f16), T([58], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 702, 14, 14], f16), T([128, 702, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 702, 14, 14], f16), T([702, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 702), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 72, 1, 1], f16), T([20, 72, 1, 1], f16), T([20], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 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
TIMM/mobilenetv3_large_100
((T([128, 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
TIMM/hrnet_w18
((T([128, 72, 14, 14], f16), T([128, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 72, 14, 14], f16), T([144, 72, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 72, 14, 14], f16), T([18, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 72, 14, 14], f16), T([216, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 72, 14, 14], f16), T([36, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 72, 14, 14], f16), T([360, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 72, 14, 14], f16), T([432, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 72, 14, 14], f16), T([512, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 72, 14, 14], f16), T([72, 72, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 72, 28, 28], f16), T([144, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 72, 28, 28], f16), T([20, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 72, 28, 28], f16), T([40, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 72, 28, 28], f16), T([40, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 72, 28, 28], f16), T([40, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 72, 56, 56], f16), T([12, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 72, 56, 56], f16), T([24, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 72, 56, 56], f16), T([24, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 72, 56, 56], f16), T([24, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 72, 56, 56], f16), T([24, 72, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 72, 56, 56], f16), T([72, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 72), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 72, 56, 56], f16), T([72, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 72), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 72, 56, 56], f16), T([72, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 72), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 72), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 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/hardcorenas_a
((T([128, 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/mnasnet_100
((T([128, 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/mobilenetv3_large_100
((T([128, 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/fbnetv3_b
((T([128, 720, 1, 1], f16), T([32, 720, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 720, 14, 14], f16), T([720, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 720), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 720, 7, 7], f16), T([184, 720, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 736, 1, 1], f16), T([48, 736, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 736, 28, 28], f16), T([512, 736, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 736, 7, 7], f16), T([184, 736, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 736, 7, 7], f16), T([736, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 736), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 75, 1, 1], f16), T([906, 75, 1, 1], f16), T([906], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 768, 1, 1], 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, 1, 1], f16), T([1536, 768, 1, 1], f16), T([1536], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 768, 1, 1], f16), T([64, 768, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 768, 1, 1], f16), T([768, 768, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 768, 12, 12], 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, 12, 12], 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, 12, 12], 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, 12, 12], f16), T([768, 128, 3, 3], f16), T([768], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 6), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 768, 13, 13], f16), T([768, 128, 3, 3], f16), T([768], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 6), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 768, 13, 13], f16), T([768, 128, 3, 3], f16), T([768], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 6), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 768, 14, 14], f16), T([768, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 768), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 768, 17, 17], f16), T([128, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 768, 17, 17], f16), T([128, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 768, 17, 17], f16), T([128, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 768, 17, 17], f16), T([160, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 768, 17, 17], f16), T([160, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 768, 17, 17], f16), T([160, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 768, 17, 17], f16), T([192, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 768, 17, 17], f16), T([192, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 768, 17, 17], f16), T([192, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dm_nfnet_f0
((T([128, 768, 25, 25], f16), T([768, 128, 3, 3], f16), T([768], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 6), {})
aten.convolution.default
TorchBench/timm_nfnet
((T([128, 768, 25, 25], f16), T([768, 128, 3, 3], f16), T([768], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 6), {})