operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.convolution_backward.default | TIMM/repvgg_a2 | ((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], 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/repvgg_a2 | ((T([128, 192, 28, 28], f16), T([128, 192, 28, 28], f16), T([192, 192, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/visformer_small | ((T([128, 192, 28, 28], f16), T([128, 32, 112, 112], f16), T([192, 32, 4, 4], f16), [192], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/fbnetc_100 | ((T([128, 192, 28, 28], f16), T([128, 32, 28, 28], f16), T([192, 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, 192, 28, 28], f16), T([128, 32, 28, 28], f16), T([192, 32, 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, 192, 28, 28], f16), T([128, 384, 28, 28], f16), T([192, 384, 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, 192, 28, 28], f16), T([128, 96, 56, 56], f16), T([192, 96, 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, 192, 28, 28], f16), T([128, 96, 56, 56], f16), T([192, 96, 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, 192, 32, 32], f16), T([128, 128, 64, 64], f16), T([192, 128, 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, 192, 32, 32], f16), T([128, 128, 64, 64], f16), T([192, 128, 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, 192, 32, 32], f16), T([128, 192, 32, 32], f16), T([192, 192, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tinynet_a | ((T([128, 192, 6, 6], f16), T([128, 1152, 6, 6], f16), T([192, 1152, 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, 192, 6, 6], f16), T([128, 672, 6, 6], f16), T([192, 672, 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, 192, 7, 7], f16), T([128, 1152, 7, 7], f16), T([192, 1152, 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, 192, 7, 7], f16), T([128, 1152, 7, 7], f16), T([192, 1152, 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, 192, 7, 7], f16), T([128, 1152, 7, 7], f16), T([192, 1152, 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, 192, 7, 7], f16), T([128, 1152, 7, 7], f16), T([192, 1152, 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, 192, 7, 7], f16), T([128, 576, 7, 7], f16), T([192, 576, 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, 192, 7, 7], f16), T([128, 576, 7, 7], f16), T([192, 576, 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, 192, 7, 7], f16), T([128, 672, 7, 7], f16), T([192, 672, 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, 192, 7, 7], f16), T([128, 672, 7, 7], f16), T([192, 672, 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, 192, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([128, 192, 7, 7], f16, stride=(76800, 1, 10752, 1536)), T([192, 1, 5, 5], f16), [192], [1, 1], [2, 2], [1, 1], False, [0, 0], 192, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/coat_lite_mini | ((T([128, 192, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([128, 192, 7, 7], f16, stride=(76800, 1, 10752, 1536)), T([192, 1, 7, 7], f16), [192], [1, 1], [3, 3], [1, 1], False, [0, 0], 192, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/adv_inception_v3 | ((T([128, 192, 71, 71], f16), T([128, 80, 73, 73], f16), T([192, 80, 3, 3], 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, 71, 71], f16), T([128, 80, 73, 73], f16), T([192, 80, 3, 3], 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, 71, 71], f16), T([128, 80, 73, 73], f16), T([192, 80, 3, 3], 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, 8, 8], f16), T([128, 1280, 8, 8], f16), T([192, 1280, 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, 8, 8], f16), T([128, 1280, 8, 8], f16), T([192, 1280, 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, 8, 8], f16), T([128, 1280, 8, 8], f16), T([192, 1280, 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, 8, 8], f16), T([128, 192, 17, 17], f16), T([192, 192, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gluon_inception_v3 | ((T([128, 192, 8, 8], f16), T([128, 192, 17, 17], f16), T([192, 192, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/inception_v3 | ((T([128, 192, 8, 8], f16), T([128, 192, 17, 17], f16), T([192, 192, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/adv_inception_v3 | ((T([128, 192, 8, 8], f16), T([128, 2048, 8, 8], f16), T([192, 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, 192, 8, 8], f16), T([128, 2048, 8, 8], f16), T([192, 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, 192, 8, 8], f16), T([128, 2048, 8, 8], f16), T([192, 2048, 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, 1920, 16, 16], f16), T([128, 640, 16, 16], f16), T([1920, 640, 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, 1920, 8, 8], f16), T([128, 1920, 16, 16], f16), T([1920, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1920, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gernet_l | ((T([128, 1920, 8, 8], f16), T([128, 1920, 8, 8], f16), T([1920, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1920, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/gernet_l | ((T([128, 1920, 8, 8], f16), T([128, 640, 8, 8], f16), T([1920, 640, 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, 1984, 1, 1], f16), T([128, 1344, 1, 1], f16), T([1984, 1344, 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, 1984, 7, 7], f16), T([128, 352, 7, 7], f16), T([1984, 352, 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, 20, 1, 1], f16), T([128, 480, 1, 1], f16), T([20, 480, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/tinynet_a | ((T([128, 20, 1, 1], f16), T([128, 480, 1, 1], f16), T([20, 480, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/ghostnet_100 | ((T([128, 20, 1, 1], f16), T([128, 72, 1, 1], f16), T([20, 72, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/ghostnet_100 | ((T([128, 20, 28, 28], f16), T([128, 120, 28, 28], f16), T([20, 120, 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, 20, 28, 28], f16), T([128, 20, 28, 28], f16), T([20, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 20, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/ghostnet_100 | ((T([128, 20, 28, 28], f16), T([128, 72, 28, 28], f16), T([20, 72, 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, 200, 14, 14], f16), T([128, 200, 14, 14], f16), T([200, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 200, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/fbnetv3_b | ((T([128, 200, 14, 14], f16), T([128, 200, 28, 28], f16), T([200, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 200, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/mobilenetv3_large_100 | ((T([128, 200, 14, 14], f16), T([128, 80, 14, 14], f16), T([200, 80, 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, 200, 28, 28], f16), T([128, 40, 28, 28], f16), T([200, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/res2net50_14w_8s | ((T([128, 2048, 7, 7], f16), T([128, 1024, 14, 14], f16), T([2048, 1024, 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, 2048, 7, 7], f16), T([128, 1024, 14, 14], f16), T([2048, 1024, 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, 2048, 7, 7], f16), T([128, 1024, 7, 7], f16), T([2048, 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, 2048, 7, 7], f16), T([128, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), [2048], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/res2net50_14w_8s | ((T([128, 2048, 7, 7], f16), T([128, 896, 7, 7], f16), T([2048, 896, 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, 2048, 8, 8], f16), T([128, 1024, 16, 16], f16), T([2048, 1024, 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, 2048, 8, 8], f16), T([128, 1024, 16, 16], f16), T([2048, 1024, 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, 2048, 8, 8], f16), T([128, 1024, 16, 16], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/botnet26t_256 | ((T([128, 2048, 8, 8], f16), T([128, 512, 8, 8], f16), T([2048, 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, 2048, 8, 8], f16), T([128, 512, 8, 8], f16), T([2048, 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, 2048, 8, 8], f16), T([128, 512, 8, 8], f16), T([2048, 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, 216, 14, 14], f16), T([128, 216, 14, 14], f16), T([216, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 216, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/fbnetv3_b | ((T([128, 216, 14, 14], f16), T([128, 72, 14, 14], f16), T([216, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/res2net50_14w_8s | ((T([128, 224, 28, 28], f16), T([128, 512, 28, 28], f16), T([224, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/res2net50_14w_8s | ((T([128, 224, 56, 56], f16), T([128, 256, 56, 56], f16), T([224, 256, 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, 224, 7, 7], f16), T([128, 1104, 7, 7], f16), T([224, 1104, 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, 224, 7, 7], f16), T([128, 224, 7, 7], f16), T([224, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 224, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/ese_vovnet19b_dw | ((T([128, 224, 7, 7], f16), T([128, 224, 7, 7], f16), T([224, 224, 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, 224, 7, 7], f16), T([128, 768, 7, 7], f16), T([224, 768, 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, 228, 1, 1], f16), T([128, 19, 1, 1], f16), T([228, 19, 1, 1], f16), [228], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/rexnet_100 | ((T([128, 228, 28, 28], f16), T([128, 228, 56, 56], f16), T([228, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 228, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/rexnet_100 | ((T([128, 228, 56, 56], f16), T([128, 38, 56, 56], f16), T([228, 38, 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, 2304, 7, 7], f16), T([128, 1536, 7, 7], f16), T([2304, 1536, 1, 1], f16), [2304], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/visformer_small | ((T([128, 2304, 7, 7], f16), T([128, 768, 7, 7], f16), T([2304, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/shufflenet_v2_x1_0 | ((T([128, 232, 14, 14], f16), T([128, 232, 14, 14], f16), T([232, 232, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/shufflenet_v2_x1_0 | ((T([128, 232, 7, 7], f16), T([128, 232, 14, 14], f16), T([232, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 232, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/shufflenet_v2_x1_0 | ((T([128, 232, 7, 7], f16), T([128, 232, 7, 7], f16), T([232, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 232, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/shufflenet_v2_x1_0 | ((T([128, 232, 7, 7], f16), T([128, 232, 7, 7], f16), T([232, 232, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/shufflenet_v2_x1_0 | ((T([128, 232, 7, 7], f16), T([128, 232, 7, 7], f16, stride=(22736, 49, 7, 1)), T([232, 232, 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, 24, 1, 1], f16), T([128, 360, 1, 1], f16), T([24, 360, 1, 1], f16), [24], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/hardcorenas_a | ((T([128, 24, 1, 1], f16), T([128, 72, 1, 1], f16), T([24, 72, 1, 1], f16), [24], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/mobilenetv3_large_100 | ((T([128, 24, 1, 1], f16), T([128, 72, 1, 1], f16), T([24, 72, 1, 1], f16), [24], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/regnety_002 | ((T([128, 24, 1, 1], f16), T([128, 8, 1, 1], f16), T([24, 8, 1, 1], f16), [24], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TIMM/ghostnet_100 | ((T([128, 24, 112, 112], f16), T([128, 16, 112, 112], f16), T([24, 16, 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, 24, 112, 112], f16), T([128, 24, 112, 112], f16), T([24, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 24, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/shufflenet_v2_x1_0 | ((T([128, 24, 112, 112], f16), T([128, 3, 224, 224], f16), T([24, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TIMM/regnety_002 | ((T([128, 24, 112, 112], f16), T([128, 32, 112, 112], f16), T([24, 32, 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, 24, 128, 128], f16), T([128, 3, 256, 256], f16), T([24, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TIMM/eca_botnext26ts_256 | ((T([128, 24, 128, 128], f16), T([128, 3, 256, 256], f16), T([24, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TIMM/eca_halonext26ts | ((T([128, 24, 128, 128], f16), T([128, 3, 256, 256], f16), T([24, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TorchBench/shufflenet_v2_x1_0 | ((T([128, 24, 28, 28], f16), T([128, 24, 56, 56], f16), T([24, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 24, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/ghostnet_100 | ((T([128, 24, 28, 28], f16), T([128, 24, 56, 56], f16), T([24, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 24, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/tinynet_a | ((T([128, 24, 48, 48], f16), T([128, 144, 48, 48], f16), T([24, 144, 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, 24, 48, 48], f16), T([128, 96, 48, 48], f16), T([24, 96, 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, 24, 56, 56], f16), T([128, 144, 56, 56], f16), T([24, 144, 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, 24, 56, 56], f16), T([128, 144, 56, 56], f16), T([24, 144, 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, 24, 56, 56], f16), T([128, 16, 56, 56], f16), T([24, 16, 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, 24, 56, 56], f16), T([128, 24, 112, 112], f16), T([24, 8, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 3, [True, True, False]), {}) |
aten.convolution_backward.default | TIMM/fbnetc_100 | ((T([128, 24, 56, 56], f16), T([128, 24, 56, 56], f16), T([24, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 24, [True, True, False]), {}) |
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