operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.convolution_backward.default
TIMM/fbnetc_100
((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetc_100
((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 16, 112, 112], f16), T([128, 16, 112, 112], f16), T([16, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetc_100
((T([128, 16, 112, 112], f16), T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 16, 112, 112], f16), T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 16, 112, 112], f16), T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})
aten.convolution_backward.default
TIMM/levit_128
((T([128, 16, 112, 112], f16), T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 16, 112, 112], f16), T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})
aten.convolution_backward.default
TIMM/nfnet_l0
((T([128, 16, 112, 112], f16), T([128, 3, 224, 224], f16), T([16, 3, 3, 3], f16), [16], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, True]), {})
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 16, 112, 112], f16), T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mnasnet_100
((T([128, 16, 112, 112], f16), T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv2_100
((T([128, 16, 112, 112], f16), T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/rexnet_100
((T([128, 16, 112, 112], f16), T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/spnasnet_100
((T([128, 16, 112, 112], f16), T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_efficientnet_b0
((T([128, 16, 112, 112], f16), T([128, 32, 112, 112], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/lcnet_050
((T([128, 16, 112, 112], f16), T([128, 8, 112, 112], f16), T([16, 8, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 16, 56, 56], f16), T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})
aten.convolution_backward.default
TIMM/lcnet_050
((T([128, 16, 56, 56], f16), T([128, 16, 112, 112], f16), T([16, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {})
aten.convolution_backward.default
TIMM/coat_lite_mini
((T([128, 16, 56, 56], f16, stride=(200704, 1, 3584, 64)), T([128, 16, 56, 56], f16, stride=(602304, 1, 10752, 192)), T([16, 1, 3, 3], f16), [16], [1, 1], [1, 1], [1, 1], False, [0, 0], 16, [True, True, True]), {})
aten.convolution_backward.default
TIMM/dm_nfnet_f0
((T([128, 16, 96, 96], f16), T([128, 3, 193, 193], f16), T([16, 3, 3, 3], f16), [16], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})
aten.convolution_backward.default
TorchBench/timm_nfnet
((T([128, 16, 96, 96], f16), T([128, 3, 193, 193], f16), T([16, 3, 3, 3], f16), [16], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})
aten.convolution_backward.default
TIMM/tinynet_a
((T([128, 16, 96, 96], f16), T([128, 32, 96, 96], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gernet_l
((T([128, 160, 16, 16], f16), T([128, 160, 16, 16], f16), T([160, 160, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gernet_l
((T([128, 160, 16, 16], f16), T([128, 160, 32, 32], f16), T([160, 160, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gernet_l
((T([128, 160, 16, 16], f16), T([128, 640, 16, 16], f16), T([160, 640, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160, 160, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gluon_inception_v3
((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160, 160, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/inception_v3
((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160, 160, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160, 160, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gluon_inception_v3
((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160, 160, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/inception_v3
((T([128, 160, 17, 17], f16), T([128, 160, 17, 17], f16), T([160, 160, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 160, 17, 17], f16), T([128, 768, 17, 17], f16), T([160, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gluon_inception_v3
((T([128, 160, 17, 17], f16), T([128, 768, 17, 17], f16), T([160, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/inception_v3
((T([128, 160, 17, 17], f16), T([128, 768, 17, 17], f16), T([160, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ese_vovnet19b_dw
((T([128, 160, 28, 28], f16), T([128, 160, 28, 28], f16), T([160, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 160, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ese_vovnet19b_dw
((T([128, 160, 28, 28], f16), T([128, 160, 28, 28], f16), T([160, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ese_vovnet19b_dw
((T([128, 160, 28, 28], f16), T([128, 256, 28, 28], f16), T([160, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gernet_l
((T([128, 160, 32, 32], f16), T([128, 192, 32, 32], f16), T([160, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 160, 7, 7], f16), T([128, 112, 7, 7], f16), T([160, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv2_100
((T([128, 160, 7, 7], f16), T([128, 576, 7, 7], f16), T([160, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 160, 7, 7], f16), T([128, 672, 7, 7], f16), T([160, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv2_100
((T([128, 160, 7, 7], f16), T([128, 960, 7, 7], f16), T([160, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 160, 7, 7], f16), T([128, 960, 7, 7], f16), T([160, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/rexnet_100
((T([128, 162, 56, 56], f16), T([128, 162, 56, 56], f16), T([162, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 162, [True, True, False]), {})
aten.convolution_backward.default
TIMM/rexnet_100
((T([128, 162, 56, 56], f16), T([128, 27, 56, 56], f16), T([162, 27, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/rexnet_100
((T([128, 162, 7, 7], f16), T([128, 906, 7, 7], f16), T([162, 906, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 168, 1, 1], f16), T([128, 672, 1, 1], f16), T([168, 672, 1, 1], f16), [168], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 168, 1, 1], f16), T([128, 672, 1, 1], f16), T([168, 672, 1, 1], f16), [168], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 168, 1, 1], f16), T([128, 672, 1, 1], f16), T([168, 672, 1, 1], f16), [168], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/rexnet_100
((T([128, 174, 7, 7], f16), T([128, 972, 7, 7], f16), T([174, 972, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hrnet_w18
((T([128, 18, 14, 14], f16), T([128, 18, 28, 28], f16), T([18, 18, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hrnet_w18
((T([128, 18, 14, 14], f16), T([128, 72, 14, 14], f16), T([18, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hrnet_w18
((T([128, 18, 28, 28], f16), T([128, 18, 56, 56], f16), T([18, 18, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hrnet_w18
((T([128, 18, 28, 28], f16), T([128, 36, 28, 28], f16), T([18, 36, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hrnet_w18
((T([128, 18, 56, 56], f16), T([128, 18, 56, 56], f16), T([18, 18, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hrnet_w18
((T([128, 18, 56, 56], f16), T([128, 256, 56, 56], f16), T([18, 256, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hrnet_w18
((T([128, 18, 7, 7], f16), T([128, 144, 7, 7], f16), T([18, 144, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 184, 14, 14], f16), T([128, 184, 14, 14], f16), T([184, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 184, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 184, 14, 14], f16), T([128, 80, 14, 14], f16), T([184, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetc_100
((T([128, 184, 7, 7], f16), T([128, 1104, 7, 7], f16), T([184, 1104, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetc_100
((T([128, 184, 7, 7], f16), T([128, 672, 7, 7], f16), T([184, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 184, 7, 7], f16), T([128, 720, 7, 7], f16), T([184, 720, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 184, 7, 7], f16), T([128, 736, 7, 7], f16), T([184, 736, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/rexnet_100
((T([128, 185, 7, 7], f16), T([128, 1044, 7, 7], f16), T([185, 1044, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/rexnet_100
((T([128, 19, 1, 1], f16), T([128, 228, 1, 1], f16), T([19, 228, 1, 1], f16), [19], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/ese_vovnet19b_dw
((T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16), T([192, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 192, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetc_100
((T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16), T([192, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 192, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ese_vovnet19b_dw
((T([128, 192, 14, 14], f16), T([128, 192, 14, 14], f16), T([192, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv2_100
((T([128, 192, 14, 14], f16), T([128, 192, 28, 28], f16), T([192, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 192, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetc_100
((T([128, 192, 14, 14], f16), T([128, 192, 28, 28], f16), T([192, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 192, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ese_vovnet19b_dw
((T([128, 192, 14, 14], f16), T([128, 512, 14, 14], f16), T([192, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetc_100
((T([128, 192, 14, 14], f16), T([128, 64, 14, 14], f16), T([192, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 192, 17, 17], f16), T([128, 128, 17, 17], f16), T([192, 128, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gluon_inception_v3
((T([128, 192, 17, 17], f16), T([128, 128, 17, 17], f16), T([192, 128, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/inception_v3
((T([128, 192, 17, 17], f16), T([128, 128, 17, 17], f16), T([192, 128, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 192, 17, 17], f16), T([128, 128, 17, 17], f16), T([192, 128, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gluon_inception_v3
((T([128, 192, 17, 17], f16), T([128, 128, 17, 17], f16), T([192, 128, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/inception_v3
((T([128, 192, 17, 17], f16), T([128, 128, 17, 17], f16), T([192, 128, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 192, 17, 17], f16), T([128, 160, 17, 17], f16), T([192, 160, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gluon_inception_v3
((T([128, 192, 17, 17], f16), T([128, 160, 17, 17], f16), T([192, 160, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/inception_v3
((T([128, 192, 17, 17], f16), T([128, 160, 17, 17], f16), T([192, 160, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 192, 17, 17], f16), T([128, 160, 17, 17], f16), T([192, 160, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gluon_inception_v3
((T([128, 192, 17, 17], f16), T([128, 160, 17, 17], f16), T([192, 160, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/inception_v3
((T([128, 192, 17, 17], f16), T([128, 160, 17, 17], f16), T([192, 160, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192, 192, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gluon_inception_v3
((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192, 192, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/inception_v3
((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192, 192, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192, 192, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gluon_inception_v3
((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192, 192, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/inception_v3
((T([128, 192, 17, 17], f16), T([128, 192, 17, 17], f16), T([192, 192, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 192, 17, 17], f16), T([128, 768, 17, 17], f16), T([192, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gluon_inception_v3
((T([128, 192, 17, 17], f16), T([128, 768, 17, 17], f16), T([192, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/inception_v3
((T([128, 192, 17, 17], f16), T([128, 768, 17, 17], f16), T([192, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TorchBench/alexnet
((T([128, 192, 27, 27], f16), T([128, 64, 27, 27], f16), T([192, 64, 5, 5], f16), [192], [1, 1], [2, 2], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/fbnetc_100
((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 192, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv2_100
((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 192, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetc_100
((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 192, [True, True, False]), {})