operator name
stringclasses
180 values
used in model
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155 values
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19
5.24k
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 448, 8, 8], f16), T([128, 2048, 8, 8], f16), T([448, 2048, 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, 448, 8, 8], f16), T([128, 2048, 8, 8], f16), T([448, 2048, 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, 448, 8, 8], f16), T([128, 2048, 8, 8], f16), T([448, 2048, 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, 47, 1, 1], f16), T([128, 570, 1, 1], f16), T([47, 570, 1, 1], f16), [47], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 48, 1, 1], f16), T([128, 1104, 1, 1], f16), T([48, 1104, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/tf_efficientnet_b0
((T([128, 48, 1, 1], f16), T([128, 1152, 1, 1], f16), T([48, 1152, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/tinynet_a
((T([128, 48, 1, 1], f16), T([128, 1152, 1, 1], f16), T([48, 1152, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 48, 1, 1], f16), T([128, 736, 1, 1], f16), T([48, 736, 1, 1], f16), [48], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 48, 112, 112], f16), T([128, 16, 112, 112], f16), T([48, 16, 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, 48, 112, 112], f16), T([128, 16, 112, 112], f16), T([48, 16, 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, 48, 112, 112], f16), T([128, 16, 112, 112], f16), T([48, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/coat_lite_mini
((T([128, 48, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 48, 28, 28], f16, stride=(301440, 1, 10752, 384)), T([48, 1, 5, 5], f16), [48], [1, 1], [2, 2], [1, 1], False, [0, 0], 48, [True, True, True]), {})
aten.convolution_backward.default
TIMM/coat_lite_mini
((T([128, 48, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 48, 28, 28], f16, stride=(301440, 1, 10752, 384)), T([48, 1, 7, 7], f16), [48], [1, 1], [3, 3], [1, 1], False, [0, 0], 48, [True, True, True]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 48, 35, 35], f16), T([128, 192, 35, 35], f16), T([48, 192, 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, 48, 35, 35], f16), T([128, 192, 35, 35], f16), T([48, 192, 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, 48, 35, 35], f16), T([128, 192, 35, 35], f16), T([48, 192, 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, 48, 35, 35], f16), T([128, 256, 35, 35], f16), T([48, 256, 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, 48, 35, 35], f16), T([128, 256, 35, 35], f16), T([48, 256, 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, 48, 35, 35], f16), T([128, 256, 35, 35], f16), T([48, 256, 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, 48, 35, 35], f16), T([128, 288, 35, 35], f16), T([48, 288, 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, 48, 35, 35], f16), T([128, 288, 35, 35], f16), T([48, 288, 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, 48, 35, 35], f16), T([128, 288, 35, 35], f16), T([48, 288, 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, 48, 56, 56], f16), T([128, 24, 56, 56], f16), T([48, 24, 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, 48, 56, 56], f16), T([128, 48, 112, 112], f16), T([48, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 48, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mnasnet_100
((T([128, 48, 56, 56], f16), T([128, 48, 112, 112], f16), T([48, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 48, [True, True, False]), {})
aten.convolution_backward.default
TIMM/spnasnet_100
((T([128, 48, 56, 56], f16), T([128, 48, 112, 112], f16), T([48, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 48, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 48, 56, 56], f16), T([128, 48, 112, 112], f16), T([48, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 48, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 48, 56, 56], f16), T([128, 48, 56, 56], f16), T([48, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 48, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 480, 1, 1], f16), T([128, 120, 1, 1], f16), T([480, 120, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 480, 1, 1], f16), T([128, 120, 1, 1], f16), T([480, 120, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 480, 1, 1], f16), T([128, 120, 1, 1], f16), T([480, 120, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/tf_efficientnet_b0
((T([128, 480, 1, 1], f16), T([128, 20, 1, 1], f16), T([480, 20, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/tinynet_a
((T([128, 480, 1, 1], f16), T([128, 20, 1, 1], f16), T([480, 20, 1, 1], f16), [480], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/tinynet_a
((T([128, 480, 12, 12], f16), T([128, 480, 12, 12], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tinynet_a
((T([128, 480, 12, 12], f16), T([128, 480, 12, 12], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tinynet_a
((T([128, 480, 12, 12], f16), T([128, 80, 12, 12], f16), T([480, 80, 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, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_efficientnet_b0
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mnasnet_100
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})
aten.convolution_backward.default
TIMM/spnasnet_100
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_efficientnet_b0
((T([128, 480, 14, 14], f16), T([128, 480, 14, 14], f16), T([480, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 480, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 480, 14, 14], f16), T([128, 80, 14, 14], f16), T([480, 80, 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, 480, 14, 14], f16), T([128, 80, 14, 14], f16), T([480, 80, 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, 480, 14, 14], f16), T([128, 80, 14, 14], f16), T([480, 80, 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, 480, 14, 14], f16), T([128, 80, 14, 14], f16), T([480, 80, 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, 480, 14, 14], f16), T([128, 80, 14, 14], f16), T([480, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/selecsls42b
((T([128, 480, 14, 14], f16), T([128, 912, 14, 14], f16), T([480, 912, 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, 480, 7, 7], f16), T([128, 160, 7, 7], f16), T([480, 160, 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, 480, 7, 7], f16), T([128, 480, 7, 7], f16), T([480, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 480, [True, True, False]), {})
aten.convolution_backward.default
TIMM/rexnet_100
((T([128, 50, 28, 28], f16), T([128, 228, 28, 28], f16), T([50, 228, 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, 504, 1, 1], f16), T([128, 42, 1, 1], f16), T([504, 42, 1, 1], f16), [504], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/rexnet_100
((T([128, 504, 14, 14], f16), T([128, 504, 14, 14], f16), T([504, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 504, [True, True, False]), {})
aten.convolution_backward.default
TIMM/rexnet_100
((T([128, 504, 14, 14], f16), T([128, 84, 14, 14], f16), T([504, 84, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/nfnet_l0
((T([128, 512, 1, 1], f16), T([128, 128, 1, 1], f16), T([512, 128, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/dm_nfnet_f0
((T([128, 512, 1, 1], f16), T([128, 256, 1, 1], f16), T([512, 256, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TorchBench/timm_nfnet
((T([128, 512, 1, 1], f16), T([128, 256, 1, 1], f16), T([512, 256, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/ese_vovnet19b_dw
((T([128, 512, 1, 1], f16), T([128, 512, 1, 1], f16), T([512, 512, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/res2next50
((T([128, 512, 14, 14], f16), T([128, 1024, 14, 14], f16), T([512, 1024, 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, 512, 14, 14], f16), T([128, 128, 14, 14], f16), T([512, 128, 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, 512, 14, 14], f16), T([128, 256, 28, 28], f16), T([512, 256, 3, 3], f16), [512], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/hrnet_w18
((T([128, 512, 14, 14], f16), T([128, 72, 14, 14], f16), T([512, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/botnet26t_256
((T([128, 512, 16, 16], f16), T([128, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/eca_botnext26ts_256
((T([128, 512, 16, 16], f16), T([128, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/eca_halonext26ts
((T([128, 512, 16, 16], f16), T([128, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/dm_nfnet_f0
((T([128, 512, 24, 24], f16), T([128, 256, 24, 24], f16), T([512, 256, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TorchBench/timm_nfnet
((T([128, 512, 24, 24], f16), T([128, 256, 24, 24], f16), T([512, 256, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/nfnet_l0
((T([128, 512, 28, 28], f16), T([128, 128, 28, 28], f16), T([512, 128, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/res2net50_14w_8s
((T([128, 512, 28, 28], f16), T([128, 224, 28, 28], f16), T([512, 224, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2next50
((T([128, 512, 28, 28], f16), T([128, 256, 28, 28], f16), T([512, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/nfnet_l0
((T([128, 512, 28, 28], f16), T([128, 256, 28, 28], f16), T([512, 256, 1, 1], f16), [512], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/res2net50_14w_8s
((T([128, 512, 28, 28], f16), T([128, 256, 56, 56], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2next50
((T([128, 512, 28, 28], f16), T([128, 256, 56, 56], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2next50
((T([128, 512, 28, 28], f16), T([128, 512, 28, 28], f16), T([512, 512, 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, 512, 28, 28], f16), T([128, 736, 28, 28], f16), T([512, 736, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/botnet26t_256
((T([128, 512, 32, 32], f16), T([128, 128, 32, 32], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/eca_botnext26ts_256
((T([128, 512, 32, 32], f16), T([128, 128, 32, 32], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/eca_halonext26ts
((T([128, 512, 32, 32], f16), T([128, 128, 32, 32], f16), T([512, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/botnet26t_256
((T([128, 512, 32, 32], f16), T([128, 256, 64, 64], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/eca_botnext26ts_256
((T([128, 512, 32, 32], f16), T([128, 256, 64, 64], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/eca_halonext26ts
((T([128, 512, 32, 32], f16), T([128, 256, 64, 64], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/resnet18
((T([128, 512, 7, 7], f16), T([128, 256, 14, 14], f16), T([512, 256, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/resnet18
((T([128, 512, 7, 7], f16), T([128, 256, 14, 14], f16), T([512, 256, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/resnet18
((T([128, 512, 7, 7], f16), T([128, 512, 7, 7], f16), T([512, 512, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/coat_lite_mini
((T([128, 512, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([128, 320, 14, 14], f16), T([512, 320, 2, 2], f16), [512], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/coat_lite_mini
((T([128, 512, 7, 7], f16, stride=(25600, 1, 3584, 512)), T([128, 512, 7, 7], f16, stride=(25600, 1, 3584, 512)), T([512, 1, 3, 3], f16), [512], [1, 1], [1, 1], [1, 1], False, [0, 0], 512, [True, True, True]), {})
aten.convolution_backward.default
TIMM/botnet26t_256
((T([128, 512, 8, 8], f16), T([128, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/eca_botnext26ts_256
((T([128, 512, 8, 8], f16), T([128, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/eca_halonext26ts
((T([128, 512, 8, 8], f16), T([128, 2048, 8, 8], f16), T([512, 2048, 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, 53, 1, 1], f16), T([128, 636, 1, 1], f16), T([53, 636, 1, 1], f16), [53], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/regnety_002
((T([128, 56, 1, 1], f16), T([128, 6, 1, 1], f16), T([56, 6, 1, 1], f16), [56], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 56, 14, 14], f16), T([128, 480, 14, 14], f16), T([56, 480, 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, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([56, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 56, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2net50_14w_8s
((T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16), T([56, 56, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2net50_14w_8s
((T([128, 56, 14, 14], f16), T([128, 56, 14, 14], f16, stride=(87808, 196, 14, 1)), T([56, 56, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2net50_14w_8s
((T([128, 56, 14, 14], f16), T([128, 56, 28, 28], f16, stride=(351232, 784, 28, 1)), T([56, 56, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 56, 14, 14], f16), T([128, 672, 14, 14], f16), T([56, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/regnety_002
((T([128, 56, 28, 28], f16), T([128, 24, 56, 56], f16), T([56, 24, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/regnety_002
((T([128, 56, 28, 28], f16), T([128, 56, 28, 28], f16), T([56, 56, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})