operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 24, 56, 56], f16), T([72, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 24, 56, 56], f16), T([72, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 240, 1, 1], f16), T([10, 240, 1, 1], f16), T([10], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 240, 1, 1], f16), T([960, 240, 1, 1], f16), T([960], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 240, 14, 14], f16), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 240, 28, 28], f16), T([240, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 240), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 240, 28, 28], f16), T([240, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 240), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 240), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 240, 28, 28], f16), T([240, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 240), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 240, 28, 28], f16), T([40, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 2432, 14, 14], f16), T([1600, 2432, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 2432, 14, 14], f16), T([2304, 2432, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 2432, 7, 7], f16), T([1600, 2432, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 256, 1, 1], f16), T([1024, 256, 1, 1], f16), T([1024], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 256, 1, 1], f16), T([1024, 256, 1, 1], f16), T([1024], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 256, 1, 1], f16), T([128, 256, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 256, 1, 1], f16), T([128, 256, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 256, 1, 1], f16), T([16, 256, 1, 1], f16), T([16], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 256, 1, 1], f16), T([16, 256, 1, 1], f16), T([16], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 256, 13, 13], f16), T([48, 256, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 256, 14, 14], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 256, 14, 14], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 256, 14, 14], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 256, 16, 16], f16), T([512, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {}) |
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 256, 27, 27], f16), T([32, 256, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_vovnet | ((T([32, 256, 28, 28], f16), T([160, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 256, 28, 28], f16), T([256, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 256, 28, 28], f16), T([512, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 256, 28, 28], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 256, 28, 28], f16), T([512, 4, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 256, 28, 28], f16), T([512, 4, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {}) |
aten.convolution.default | TIMM/convnext_base | ((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([256, 1, 7, 7], f16), T([256], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 256), {}) |
aten.convolution.default | TIMM/convnext_base | ((T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256)), T([512, 256, 2, 2], f16), T([512], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 256, 32, 32], f16), T([512, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 256, 32, 32], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 256, 38, 38], f16), T([256, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 256), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 256, 38, 38], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 256, 38, 38], f16), T([728, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 256, 38, 38], f16), T([728, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 256, 56, 56], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 256, 56, 56], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 256, 56, 56], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 256, 56, 56], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 256, 56, 56], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 256, 56, 56], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 256, 56, 56], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 256, 56, 56], f16), T([512, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 256, 56, 56], f16), T([512, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 256, 56, 56], f16), T([512, 4, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 256, 56, 56], f16), T([512, 4, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 256, 56, 56], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 256, 64, 64], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 256, 64, 64], f16), T([64, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 256, 75, 75], f16), T([256, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 256), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 256, 75, 75], f16), T([256, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 256), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 256, 75, 75], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/dcgan | ((T([32, 256, 8, 8], f16), T([512, 256, 4, 4], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 2560, 7, 7], f16), T([1600, 2560, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 2688, 1, 1], f16), T([1000, 2688, 1, 1], f16), T([1000], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 28, 1, 1], f16), T([672, 28, 1, 1], f16), T([672], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/convnext_base | ((T([32, 3, 224, 224], f16), T([128, 3, 4, 4], f16), T([128], f16), [4, 4], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 3, 224, 224], f16), T([128, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 3, 224, 224], f16), T([16, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 3, 224, 224], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_vovnet | ((T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 3, 224, 224], f16), T([64, 3, 3, 3], f16), T([64], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/twins_pcpvt_base | ((T([32, 3, 224, 224], f16), T([64, 3, 4, 4], f16), T([64], f16), [4, 4], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 3, 224, 224], f16), T([64, 3, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/convmixer_768_32 | ((T([32, 3, 224, 224], f16), T([768, 3, 7, 7], f16), T([768], f16), [7, 7], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 3, 256, 256], f16), T([64, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 3, 299, 299], f16), T([32, 3, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/dcgan | ((T([32, 3, 64, 64], f16), T([64, 3, 4, 4], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 316, 56, 56], f16), T([200, 316, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 32, 1, 1], f16), T([120, 32, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 32, 1, 1], f16), T([128, 32, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 32, 1, 1], f16), T([128, 32, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 32, 1, 1], f16), T([512, 32, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 32, 1, 1], f16), T([512, 32, 1, 1], f16), T([512], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 32, 1, 1], f16), T([8, 32, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 32, 112, 112], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 32, 112, 112], f16), T([224, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 32, 112, 112], f16), T([224, 32, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 32, 112, 112], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 32, 112, 112], f16), T([32, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 32, 112, 112], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_xception65 | ((T([32, 32, 150, 150], f16), T([64, 32, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
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