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, 128, 32, 32], f16), T([128, 128, 64, 64], f16), T([128, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/botnet26t_256 | ((T([128, 128, 32, 32], f16), T([128, 512, 32, 32], f16), T([128, 512, 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, 128, 32, 32], f16), T([128, 512, 32, 32], f16), T([128, 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, 128, 32, 32], f16), T([128, 512, 32, 32], f16), T([128, 512, 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, 128, 48, 48], f16), T([128, 128, 48, 48], f16), T([128, 128, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 128, 48, 48], f16), T([128, 128, 48, 48], f16), T([128, 128, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 128, 48, 48], f16), T([128, 128, 48, 48], f16), T([128, 128, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 128, 48, 48], f16), T([128, 128, 48, 48], f16), T([128, 128, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 128, 48, 48], f16), T([128, 64, 97, 97], f16), T([128, 64, 3, 3], f16), [128], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 128, 48, 48], f16), T([128, 64, 97, 97], f16), T([128, 64, 3, 3], f16), [128], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/ese_vovnet19b_dw | ((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), T([128, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 128, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/ese_vovnet19b_dw | ((T([128, 128, 56, 56], f16), T([128, 128, 56, 56], f16), T([128, 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, 128, 56, 56], f16), T([128, 18, 56, 56], f16), T([128, 18, 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, 128, 56, 56], f16), T([128, 192, 56, 56], f16), T([128, 192, 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, 128, 56, 56], f16), T([128, 256, 56, 56], f16), T([128, 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, 128, 56, 56], f16), T([128, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/hrnet_w18 | ((T([128, 128, 56, 56], f16), T([128, 32, 56, 56], f16), T([128, 32, 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, 128, 56, 56], f16), T([128, 64, 112, 112], f16), T([128, 64, 3, 3], f16), [128], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/ese_vovnet19b_dw | ((T([128, 128, 56, 56], f16), T([128, 64, 56, 56], f16), T([128, 64, 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, 128, 56, 56], f16), T([128, 64, 56, 56], f16), T([128, 64, 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, 128, 64, 64], f16), T([128, 128, 64, 64], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/botnet26t_256 | ((T([128, 128, 64, 64], f16), T([128, 256, 64, 64], f16), T([128, 256, 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, 128, 64, 64], f16), T([128, 256, 64, 64], f16), T([128, 256, 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, 128, 64, 64], f16), T([128, 256, 64, 64], f16), T([128, 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, 128, 64, 64], f16), T([128, 32, 128, 128], f16), T([128, 32, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gernet_l | ((T([128, 128, 64, 64], f16), T([128, 32, 128, 128], f16), T([128, 32, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/lcnet_050 | ((T([128, 128, 7, 7], f16), T([128, 128, 14, 14], f16), T([128, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 128, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/coat_lite_mini | ((T([128, 128, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([128, 128, 7, 7], f16, stride=(76800, 1, 10752, 1536)), T([128, 1, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 128, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/eca_halonext26ts | ((T([128, 128, 8, 8], f16), T([128, 512, 16, 16], f16), T([128, 512, 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, 128, 8, 8], f16), T([128, 512, 8, 8], f16), T([128, 512, 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, 1280, 1, 1], f16), T([128, 256, 1, 1], f16), T([1280, 256, 1, 1], f16), [1280], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/ghostnet_100 | ((T([128, 1280, 1, 1], f16), T([128, 960, 1, 1], f16), T([1280, 960, 1, 1], f16), [1280], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/hardcorenas_a | ((T([128, 1280, 1, 1], f16), T([128, 960, 1, 1], f16), T([1280, 960, 1, 1], f16), [1280], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/mobilenetv3_large_100 | ((T([128, 1280, 1, 1], f16), T([128, 960, 1, 1], f16), T([1280, 960, 1, 1], f16), [1280], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/selecsls42b | ((T([128, 1280, 4, 4], f16), T([128, 1024, 7, 7], f16), T([1280, 1024, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tinynet_a | ((T([128, 1280, 6, 6], f16), T([128, 320, 6, 6], f16), T([1280, 320, 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, 1280, 7, 7], f16), T([128, 185, 7, 7], f16), T([1280, 185, 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, 1280, 7, 7], f16), T([128, 320, 7, 7], f16), T([1280, 320, 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, 1280, 7, 7], f16), T([128, 320, 7, 7], f16), T([1280, 320, 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, 1280, 7, 7], f16), T([128, 320, 7, 7], f16), T([1280, 320, 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, 1280, 7, 7], f16), T([128, 320, 7, 7], f16), T([1280, 320, 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, 1344, 7, 7], f16), T([128, 224, 7, 7], f16), T([1344, 224, 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, 14, 1, 1], f16), T([128, 152, 1, 1], f16), T([14, 152, 1, 1], f16), [14], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/res2net50_14w_8s | ((T([128, 14, 56, 56], f16), T([128, 14, 56, 56], f16), T([14, 14, 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, 14, 56, 56], f16), T([128, 14, 56, 56], f16, stride=(351232, 3136, 56, 1)), T([14, 14, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/rexnet_100 | ((T([128, 140, 7, 7], f16), T([128, 768, 7, 7], f16), T([140, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/repvgg_a2 | ((T([128, 1408, 7, 7], f16), T([128, 384, 14, 14], f16), T([1408, 384, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/repvgg_a2 | ((T([128, 1408, 7, 7], f16), T([128, 384, 14, 14], f16), T([1408, 384, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tf_efficientnet_b0 | ((T([128, 144, 1, 1], f16), T([128, 6, 1, 1], f16), T([144, 6, 1, 1], f16), [144], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/tinynet_a | ((T([128, 144, 1, 1], f16), T([128, 6, 1, 1], f16), T([144, 6, 1, 1], f16), [144], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/tinynet_a | ((T([128, 144, 24, 24], f16), T([128, 144, 48, 48], f16), T([144, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 144, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/selecsls42b | ((T([128, 144, 28, 28], f16), T([128, 128, 56, 56], f16), T([144, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/selecsls42b | ((T([128, 144, 28, 28], f16), T([128, 144, 28, 28], f16), T([144, 144, 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, 144, 28, 28], f16), T([128, 144, 28, 28], f16), T([144, 144, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mobilenetv2_100 | ((T([128, 144, 28, 28], f16), T([128, 144, 56, 56], f16), T([144, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 144, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/fbnetc_100 | ((T([128, 144, 28, 28], f16), T([128, 144, 56, 56], f16), T([144, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 144, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/spnasnet_100 | ((T([128, 144, 28, 28], f16), T([128, 144, 56, 56], f16), T([144, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 144, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tf_efficientnet_b0 | ((T([128, 144, 28, 28], f16), T([128, 144, 59, 59], f16), T([144, 1, 5, 5], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 144, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/selecsls42b | ((T([128, 144, 28, 28], f16), T([128, 288, 28, 28], f16), T([144, 288, 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, 144, 28, 28], f16), T([128, 72, 28, 28], f16), T([144, 72, 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, 144, 48, 48], f16), T([128, 144, 48, 48], f16), T([144, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 144, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tinynet_a | ((T([128, 144, 48, 48], f16), T([128, 24, 48, 48], f16), T([144, 24, 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, 144, 56, 56], f16), T([128, 144, 56, 56], f16), T([144, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 144, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tf_efficientnet_b0 | ((T([128, 144, 56, 56], f16), T([128, 144, 56, 56], f16), T([144, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 144, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/fbnetc_100 | ((T([128, 144, 56, 56], f16), T([128, 24, 56, 56], f16), T([144, 24, 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, 144, 56, 56], f16), T([128, 24, 56, 56], f16), T([144, 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, 144, 56, 56], f16), T([128, 24, 56, 56], f16), T([144, 24, 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, 144, 56, 56], f16), T([128, 24, 56, 56], f16), T([144, 24, 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, 144, 7, 7], f16), T([128, 144, 7, 7], f16), T([144, 144, 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, 144, 7, 7], f16), T([128, 18, 14, 14], f16), T([144, 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, 144, 7, 7], f16), T([128, 36, 14, 14], f16), T([144, 36, 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, 144, 7, 7], f16), T([128, 72, 14, 14], f16), T([144, 72, 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, 151, 7, 7], f16), T([128, 840, 7, 7], f16), T([151, 840, 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, 152, 1, 1], f16), T([128, 14, 1, 1], f16), T([152, 14, 1, 1], f16), [152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/regnety_002 | ((T([128, 152, 1, 1], f16), T([128, 38, 1, 1], f16), T([152, 38, 1, 1], f16), [152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/regnety_002 | ((T([128, 152, 14, 14], f16), T([128, 152, 14, 14], f16), T([152, 152, 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, 152, 14, 14], f16), T([128, 152, 14, 14], f16), T([152, 8, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 19, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/regnety_002 | ((T([128, 152, 14, 14], f16), T([128, 152, 28, 28], f16), T([152, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 19, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/selecsls42b | ((T([128, 152, 14, 14], f16), T([128, 304, 14, 14], f16), T([152, 304, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/regnety_002 | ((T([128, 152, 14, 14], f16), T([128, 56, 28, 28], f16), T([152, 56, 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, 152, 28, 28], f16), T([128, 56, 28, 28], f16), T([152, 56, 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, 1536, 1, 1], f16), T([128, 384, 1, 1], f16), T([1536, 384, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 1536, 1, 1], f16), T([128, 768, 1, 1], f16), T([1536, 768, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 1536, 1, 1], f16), T([128, 768, 1, 1], f16), T([1536, 768, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 1536, 12, 12], f16), T([128, 512, 12, 12], f16), T([1536, 512, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 1536, 12, 12], f16), T([128, 512, 12, 12], f16), T([1536, 512, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 1536, 12, 12], f16), T([128, 768, 12, 12], f16), T([1536, 768, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 1536, 12, 12], f16), T([128, 768, 12, 12], f16), T([1536, 768, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/visformer_small | ((T([128, 1536, 14, 14], f16), T([128, 384, 14, 14], f16), T([1536, 384, 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, 1536, 14, 14], f16), T([128, 384, 14, 14], f16), T([1536, 384, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/nfnet_l0 | ((T([128, 1536, 14, 14], f16), T([128, 512, 14, 14], f16), T([1536, 512, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/botnet26t_256 | ((T([128, 1536, 16, 16], f16), T([128, 512, 16, 16], f16), T([1536, 512, 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, 1536, 6, 6], f16), T([128, 1536, 6, 6], f16), T([1536, 1536, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 1536, 6, 6], f16), T([128, 1536, 6, 6], f16), T([1536, 1536, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/dm_nfnet_f0 | ((T([128, 1536, 6, 6], f16), T([128, 768, 6, 6], f16), T([1536, 768, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_nfnet | ((T([128, 1536, 6, 6], f16), T([128, 768, 6, 6], f16), T([1536, 768, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/nfnet_l0 | ((T([128, 1536, 7, 7], f16), T([128, 1536, 7, 7], f16), T([1536, 1536, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/nfnet_l0 | ((T([128, 1536, 7, 7], f16), T([128, 384, 7, 7], f16), T([1536, 384, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/botnet26t_256 | ((T([128, 1536, 8, 8], f16), T([128, 512, 8, 8], f16), T([1536, 512, 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, 1, 1], f16), T([128, 120, 1, 1], f16), T([16, 120, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.