operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 32, 27, 27], f16), T([128, 32, 1, 1], f16), T([128], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 32, 27, 27], f16), T([128, 32, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/twins_pcpvt_base | ((T([32, 320, 14, 14], f16), T([512, 320, 2, 2], f16), T([512], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/twins_pcpvt_base | ((T([32, 320, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([320, 1, 3, 3], f16), T([320], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 320), {}) |
aten.convolution.default | TIMM/twins_pcpvt_base | ((T([32, 320, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([320, 320, 2, 2], f16), T([320], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 320, 7, 7], f16), T([1280, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 336, 56, 56], f16), T([200, 336, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 356, 56, 56], f16), T([200, 356, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 376, 56, 56], f16), T([400, 376, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 376, 56, 56], f16), T([640, 376, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 384, 13, 13], f16), T([48, 384, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 384, 13, 13], f16), T([64, 384, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 4, 1, 1], f16), T([96, 4, 1, 1], f16), T([96], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 40, 28, 28], f16), T([120, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 40, 28, 28], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 400, 28, 28], f16), T([400, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 50), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 400, 28, 28], f16), T([576, 400, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/dpn107 | ((T([32, 400, 56, 56], f16), T([400, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 50), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 4096, 14, 14], f16), T([4096, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 32), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 4096, 7, 7], f16), T([2048, 4096, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 4096, 7, 7], f16), T([4096, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 448, 1, 1], f16), T([112, 448, 1, 1], f16), T([112], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 448, 1, 1], f16), T([56, 448, 1, 1], f16), T([56], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 448, 28, 28], f16), T([448, 112, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 4), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 448, 28, 28], f16), T([448, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 448, 28, 28], f16), T([896, 448, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 448, 28, 28], f16), T([896, 448, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 448, 56, 56], f16), T([448, 112, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 4), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), T([1152], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 48, 112, 112], f16), T([48, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 48), {}) |
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 48, 13, 13], f16), T([192, 48, 1, 1], f16), T([192], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 48, 13, 13], f16), T([192, 48, 3, 3], f16), T([192], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 48, 56, 56], f16), T([24, 48, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 480, 1, 1], f16), T([120, 480, 1, 1], f16), T([120], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 480, 1, 1], f16), T([20, 480, 1, 1], f16), T([20], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 480, 14, 14], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 480, 14, 14], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 480, 14, 14], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {}) |
aten.convolution.default | TorchBench/mobilenet_v3_large | ((T([32, 480, 14, 14], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 480, 14, 14], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 480, 14, 14], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 480, 14, 14], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 480, 14, 14], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 480, 14, 14], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 480, 14, 14], f16), T([96, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 512, 1, 1], f16), T([256, 512, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 512, 1, 1], f16), T([256, 512, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 512, 1, 1], f16), T([32, 512, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 512, 1, 1], f16), T([32, 512, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 512, 13, 13], f16), T([1000, 512, 1, 1], f16), T([1000], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/squeezenet1_1 | ((T([32, 512, 13, 13], f16), T([64, 512, 1, 1], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 512, 14, 14], f16), T([1024, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 512, 14, 14], f16), T([1024, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 512, 14, 14], f16), T([1024, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 512, 14, 14], f16), T([1024, 8, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 64), {}) |
aten.convolution.default | TorchBench/timm_vovnet | ((T([32, 512, 14, 14], f16), T([192, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 512, 14, 14], f16), T([512, 512, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/convnext_base | ((T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), T([1024, 512, 2, 2], f16), T([1024], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/convnext_base | ((T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512)), T([512, 1, 7, 7], f16), T([512], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 512), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 512, 16, 16], f16), T([1024, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 512, 16, 16], f16), T([1024, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 512, 28, 28], f16), T([1024, 512, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 512, 28, 28], f16), T([1024, 512, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 512, 28, 28], f16), T([1024, 512, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 512, 28, 28], f16), T([1024, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 512, 28, 28], f16), T([1024, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 64), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 512, 28, 28], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 512, 28, 28], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 512, 28, 28], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 512, 28, 28], f16), T([512, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 512, 28, 28], f16), T([512, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 512, 32, 32], f16), T([128, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 512, 32, 32], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/dcgan | ((T([32, 512, 4, 4], f16), T([1, 512, 4, 4], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 512, 56, 56], f16), T([256, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/swsl_resnext101_32x16d | ((T([32, 512, 56, 56], f16), T([512, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 512, 7, 7], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_resnest | ((T([32, 512, 7, 7], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnet50 | ((T([32, 512, 7, 7], f16), T([512, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/twins_pcpvt_base | ((T([32, 512, 7, 7], f16, stride=(25088, 1, 3584, 512)), T([512, 1, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 512), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 512, 8, 8], f16), T([1024, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 2), {}) |
aten.convolution.default | TIMM/resnest101e | ((T([32, 512, 8, 8], f16), T([2048, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 56, 1, 1], f16), T([224, 56, 1, 1], f16), T([224], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_regnet | ((T([32, 56, 1, 1], f16), T([448, 56, 1, 1], f16), T([448], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 576, 14, 14], f16), T([576, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 576), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 576, 14, 14], f16), T([576, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 576), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 576, 14, 14], f16), T([96, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mnasnet1_0 | ((T([32, 576, 7, 7], f16), T([192, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/timm_efficientnet | ((T([32, 6, 1, 1], f16), T([144, 6, 1, 1], f16), T([144], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/gluon_senet154 | ((T([32, 64, 1, 1], f16), T([1024, 64, 1, 1], f16), T([1024], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TIMM/legacy_senet154 | ((T([32, 64, 1, 1], f16), T([1024, 64, 1, 1], f16), T([1024], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.