operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.convolution_backward.default | TIMM/eca_halonext26ts | ((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 4, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/botnet26t_256 | ((T([128, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64, 64, 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, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64, 64, 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, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64, 64, 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, 64, 64, 64], f16), T([128, 64, 64, 64], f16), T([64, 64, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 64, 96, 96], f16), T([128, 32, 96, 96], f16), T([64, 32, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 64, 96, 96], f16), T([128, 32, 96, 96], f16), T([64, 32, 3, 3], f16), [64], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/gernet_l | ((T([128, 640, 16, 16], f16), T([128, 160, 16, 16], f16), T([640, 160, 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, 640, 16, 16], f16), T([128, 192, 32, 32], f16), T([640, 192, 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, 640, 16, 16], f16), T([128, 512, 16, 16], f16), T([640, 512, 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, 640, 16, 16], f16), T([128, 512, 16, 16], f16), T([640, 512, 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, 640, 8, 8], f16), T([128, 1920, 8, 8], f16), T([640, 1920, 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, 640, 8, 8], f16), T([128, 512, 8, 8], f16), T([640, 512, 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, 640, 8, 8], f16), T([128, 512, 8, 8], f16), T([640, 512, 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, 640, 8, 8], f16), T([128, 640, 16, 16], f16), T([640, 640, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/ghostnet_100 | ((T([128, 672, 1, 1], f16), T([128, 168, 1, 1], f16), T([672, 168, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/hardcorenas_a | ((T([128, 672, 1, 1], f16), T([128, 168, 1, 1], f16), T([672, 168, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/mobilenetv3_large_100 | ((T([128, 672, 1, 1], f16), T([128, 168, 1, 1], f16), T([672, 168, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/tf_efficientnet_b0 | ((T([128, 672, 1, 1], f16), T([128, 28, 1, 1], f16), T([672, 28, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/tinynet_a | ((T([128, 672, 1, 1], f16), T([128, 28, 1, 1], f16), T([672, 28, 1, 1], f16), [672], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/tinynet_a | ((T([128, 672, 12, 12], f16), T([128, 112, 12, 12], f16), T([672, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tinynet_a | ((T([128, 672, 12, 12], f16), T([128, 672, 12, 12], f16), T([672, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/fbnetc_100 | ((T([128, 672, 14, 14], f16), T([128, 112, 14, 14], f16), T([672, 112, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/hardcorenas_a | ((T([128, 672, 14, 14], f16), T([128, 112, 14, 14], f16), T([672, 112, 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, 672, 14, 14], f16), T([128, 112, 14, 14], f16), T([672, 112, 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, 672, 14, 14], f16), T([128, 112, 14, 14], f16), T([672, 112, 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, 672, 14, 14], f16), T([128, 672, 14, 14], f16), T([672, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 672, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/fbnetc_100 | ((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/hardcorenas_a | ((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tf_efficientnet_b0 | ((T([128, 672, 14, 14], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tinynet_a | ((T([128, 672, 6, 6], f16), T([128, 672, 12, 12], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/fbnetc_100 | ((T([128, 672, 7, 7], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/ghostnet_100 | ((T([128, 672, 7, 7], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/hardcorenas_a | ((T([128, 672, 7, 7], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mobilenetv3_large_100 | ((T([128, 672, 7, 7], f16), T([128, 672, 14, 14], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 672, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tf_efficientnet_b0 | ((T([128, 672, 7, 7], f16), T([128, 672, 17, 17], f16), T([672, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 672, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/rexnet_100 | ((T([128, 70, 1, 1], f16), T([128, 840, 1, 1], f16), T([70, 840, 1, 1], f16), [70], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/rexnet_100 | ((T([128, 702, 1, 1], f16), T([128, 58, 1, 1], f16), T([702, 58, 1, 1], f16), [702], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/rexnet_100 | ((T([128, 702, 14, 14], f16), T([128, 117, 14, 14], f16), T([702, 117, 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, 702, 14, 14], f16), T([128, 702, 14, 14], f16), T([702, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 702, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/ghostnet_100 | ((T([128, 72, 1, 1], f16), T([128, 20, 1, 1], f16), T([72, 20, 1, 1], f16), [72], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/hardcorenas_a | ((T([128, 72, 1, 1], f16), T([128, 24, 1, 1], f16), T([72, 24, 1, 1], f16), [72], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/mobilenetv3_large_100 | ((T([128, 72, 1, 1], f16), T([128, 24, 1, 1], f16), T([72, 24, 1, 1], f16), [72], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/hrnet_w18 | ((T([128, 72, 14, 14], f16), T([128, 18, 28, 28], f16), T([72, 18, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/fbnetv3_b | ((T([128, 72, 14, 14], f16), T([128, 200, 14, 14], f16), T([72, 200, 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, 72, 14, 14], f16), T([128, 216, 14, 14], f16), T([72, 216, 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, 72, 14, 14], f16), T([128, 36, 28, 28], f16), T([72, 36, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/rexnet_100 | ((T([128, 72, 14, 14], f16), T([128, 366, 14, 14], f16), T([72, 366, 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, 72, 14, 14], f16), T([128, 72, 14, 14], f16), T([72, 72, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/selecsls42b | ((T([128, 72, 28, 28], f16), T([128, 144, 28, 28], f16), T([72, 144, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/ghostnet_100 | ((T([128, 72, 28, 28], f16), T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 72, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/hardcorenas_a | ((T([128, 72, 28, 28], f16), T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 72, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mnasnet_100 | ((T([128, 72, 28, 28], f16), T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 72, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mobilenetv3_large_100 | ((T([128, 72, 28, 28], f16), T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 72, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/hardcorenas_a | ((T([128, 72, 56, 56], f16), T([128, 24, 56, 56], f16), T([72, 24, 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, 72, 56, 56], f16), T([128, 24, 56, 56], f16), T([72, 24, 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, 72, 56, 56], f16), T([128, 24, 56, 56], f16), T([72, 24, 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, 72, 56, 56], f16), T([128, 24, 56, 56], f16), T([72, 24, 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, 72, 56, 56], f16), T([128, 72, 56, 56], f16), T([72, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 72, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mobilenetv3_large_100 | ((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16), T([72, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 72, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/spnasnet_100 | ((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16), T([72, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 72, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/hardcorenas_a | ((T([128, 72, 56, 56], f16), T([128, 72, 56, 56], f16), T([72, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 72, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/hrnet_w18 | ((T([128, 72, 7, 7], f16), T([128, 144, 7, 7], f16), T([72, 144, 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, 720, 1, 1], f16), T([128, 32, 1, 1], f16), T([720, 32, 1, 1], f16), [720], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/fbnetv3_b | ((T([128, 720, 14, 14], f16), T([128, 120, 14, 14], f16), T([720, 120, 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, 720, 7, 7], f16), T([128, 720, 14, 14], f16), T([720, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 720, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/fbnetv3_b | ((T([128, 736, 1, 1], f16), T([128, 48, 1, 1], f16), T([736, 48, 1, 1], f16), [736], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/fbnetv3_b | ((T([128, 736, 7, 7], f16), T([128, 184, 7, 7], f16), T([736, 184, 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, 736, 7, 7], f16), T([128, 736, 7, 7], f16), T([736, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 736, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/rexnet_100 | ((T([128, 75, 1, 1], f16), T([128, 906, 1, 1], f16), T([75, 906, 1, 1], f16), [75], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 768, 1, 1], f16), T([128, 1536, 1, 1], f16), T([768, 1536, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 768, 1, 1], f16), T([128, 1536, 1, 1], f16), T([768, 1536, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/rexnet_100 | ((T([128, 768, 1, 1], f16), T([128, 64, 1, 1], f16), T([768, 64, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/ese_vovnet19b_dw | ((T([128, 768, 1, 1], f16), T([128, 768, 1, 1], f16), T([768, 768, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 768, 12, 12], f16), T([128, 1536, 12, 12], f16), T([768, 1536, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 768, 12, 12], f16), T([128, 1536, 12, 12], f16), T([768, 1536, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 768, 12, 12], f16), T([128, 768, 12, 12], f16), T([768, 128, 3, 3], f16), [768], [1, 1], [1, 1], [1, 1], False, [0, 0], 6, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 768, 12, 12], f16), T([128, 768, 12, 12], f16), T([768, 128, 3, 3], f16), [768], [1, 1], [1, 1], [1, 1], False, [0, 0], 6, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 768, 12, 12], f16), T([128, 768, 25, 25], f16), T([768, 128, 3, 3], f16), [768], [2, 2], [0, 0], [1, 1], False, [0, 0], 6, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 768, 12, 12], f16), T([128, 768, 25, 25], f16), T([768, 128, 3, 3], f16), [768], [2, 2], [0, 0], [1, 1], False, [0, 0], 6, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/ese_vovnet19b_dw | ((T([128, 768, 14, 14], f16), T([128, 1088, 14, 14], f16), T([768, 1088, 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, 768, 14, 14], f16), T([128, 128, 14, 14], f16), T([768, 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, 768, 16, 16], f16), T([128, 256, 16, 16], f16), T([768, 256, 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, 768, 24, 24], f16), T([128, 512, 24, 24], f16), T([768, 512, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 768, 24, 24], f16), T([128, 512, 24, 24], f16), T([768, 512, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 768, 6, 6], f16), T([128, 1536, 6, 6], f16), T([768, 1536, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 768, 6, 6], f16), T([128, 1536, 6, 6], f16), T([768, 1536, 1, 1], f16), [768], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 768, 6, 6], f16), T([128, 768, 13, 13], f16), T([768, 128, 3, 3], f16), [768], [2, 2], [0, 0], [1, 1], False, [0, 0], 6, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 768, 6, 6], f16), T([128, 768, 13, 13], f16), T([768, 128, 3, 3], f16), [768], [2, 2], [0, 0], [1, 1], False, [0, 0], 6, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 768, 6, 6], f16), T([128, 768, 6, 6], f16), T([768, 128, 3, 3], f16), [768], [1, 1], [1, 1], [1, 1], False, [0, 0], 6, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 768, 6, 6], f16), T([128, 768, 6, 6], f16), T([768, 128, 3, 3], f16), [768], [1, 1], [1, 1], [1, 1], False, [0, 0], 6, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/visformer_small | ((T([128, 768, 7, 7], f16), T([128, 3072, 7, 7], f16), T([768, 3072, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/visformer_small | ((T([128, 768, 7, 7], f16), T([128, 384, 14, 14], f16), T([768, 384, 2, 2], f16), [768], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/rexnet_100 | ((T([128, 768, 7, 7], f16), T([128, 768, 14, 14], f16), T([768, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 768, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/visformer_small | ((T([128, 768, 7, 7], f16), T([128, 768, 7, 7], f16), T([768, 768, 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, 8, 1, 1], f16), T([128, 120, 1, 1], f16), T([8, 120, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/regnety_002 | ((T([128, 8, 1, 1], f16), T([128, 24, 1, 1], f16), T([8, 24, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/tf_efficientnet_b0 | ((T([128, 8, 1, 1], f16), T([128, 32, 1, 1], f16), T([8, 32, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/tinynet_a | ((T([128, 8, 1, 1], f16), T([128, 32, 1, 1], f16), T([8, 32, 1, 1], f16), [8], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/ghostnet_100 | ((T([128, 8, 112, 112], f16), T([128, 16, 112, 112], f16), T([8, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
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