operator name
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180 values
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aten.convolution.default
TorchBench/pytorch_CycleGAN_and_pix2pix
((T([1, 256, 66, 66], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/pytorch_unet
((T([1, 256, 80, 119], f16), T([512, 256, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 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
TorchBench/pytorch_CycleGAN_and_pix2pix
((T([1, 3, 262, 262], f16), T([64, 3, 7, 7], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/pytorch_unet
((T([1, 3, 640, 959], f16), T([64, 3, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 3, 641, 641], f16), T([32, 3, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 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/timm_efficientdet
((T([1, 32, 320, 320], f16), T([16, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 32, 320, 320], f16), T([32, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 32), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 320, 20, 20], f16), T([1920, 320, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 320, 20, 20], f16), T([88, 320, 1, 1], f16), T([88], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 4, 1, 1], f16), T([16, 4, 1, 1], f16), T([16], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 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/timm_efficientdet
((T([1, 40, 80, 80], f16), T([240, 40, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 40, 80, 80], f16), T([88, 40, 1, 1], f16), T([88], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 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/timm_efficientdet
((T([1, 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/timm_efficientdet
((T([1, 480, 40, 40], f16), T([112, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 480, 40, 40], f16), T([480, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 480), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 480, 40, 40], f16), T([480, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 480), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 480, 40, 40], f16), T([80, 480, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/pytorch_unet
((T([1, 512, 160, 239], f16), T([256, 512, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/pytorch_unet
((T([1, 512, 40, 59], f16), T([512, 512, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/pytorch_unet
((T([1, 512, 80, 119], f16), T([256, 512, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/pytorch_unet
((T([1, 512, 80, 119], f16), T([512, 512, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 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
TorchBench/pytorch_CycleGAN_and_pix2pix
((T([1, 64, 256, 256], f16), T([128, 64, 3, 3], f16), T([128], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/pytorch_CycleGAN_and_pix2pix
((T([1, 64, 262, 262], f16), T([3, 64, 7, 7], f16), T([3], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/pytorch_unet
((T([1, 64, 320, 479], f16), T([128, 64, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/pytorch_unet
((T([1, 64, 640, 959], f16), T([2, 64, 1, 1], f16), T([2], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/pytorch_unet
((T([1, 64, 640, 959], f16), T([64, 64, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 672, 1, 1], f16), T([28, 672, 1, 1], f16), T([28], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 672, 20, 20], f16), T([192, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 672, 40, 40], f16), T([112, 672, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 672, 40, 40], f16), T([672, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 672, 43, 43], f16), T([672, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 672), {})
aten.convolution.default
HuggingFace/YituTechConvBert
((T([1, 768, 512], f16), T([384, 768, 1], f16), None, [1], [0], [1], False, [0], 1), {})
aten.convolution.default
HuggingFace/YituTechConvBert
((T([1, 768, 512], f16, stride=(393216, 1, 768)), T([768, 1, 9], f16), None, [1], [4], [1], False, [0], 768), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 8, 1, 1], f16), T([32, 8, 1, 1], f16), T([32], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 80, 1, 1], f16), T([1920, 80, 1, 1], f16), T([1920], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 80, 40, 40], f16), T([480, 80, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 10, 10], f16), T([36, 88, 1, 1], f16), T([36], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 10, 10], f16), T([810, 88, 1, 1], f16), T([810], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 10, 10], f16), T([88, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 10, 10], f16), T([88, 88, 1, 1], f16), T([88], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 20, 20], f16), T([36, 88, 1, 1], f16), T([36], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 20, 20], f16), T([810, 88, 1, 1], f16), T([810], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 20, 20], f16), T([88, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 20, 20], f16), T([88, 88, 1, 1], f16), T([88], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 40, 40], f16), T([36, 88, 1, 1], f16), T([36], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 40, 40], f16), T([810, 88, 1, 1], f16), T([810], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 40, 40], f16), T([88, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 40, 40], f16), T([88, 88, 1, 1], f16), T([88], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 5, 5], f16), T([36, 88, 1, 1], f16), T([36], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 5, 5], f16), T([810, 88, 1, 1], f16), T([810], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 5, 5], f16), T([88, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 5, 5], f16), T([88, 88, 1, 1], f16), T([88], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 80, 80], f16), T([36, 88, 1, 1], f16), T([36], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 80, 80], f16), T([810, 88, 1, 1], f16), T([810], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 80, 80], f16), T([88, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 88), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 88, 80, 80], f16), T([88, 88, 1, 1], f16), T([88], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 96, 1, 1], f16), T([4, 96, 1, 1], f16), T([4], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 96, 160, 160], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/timm_efficientdet
((T([1, 96, 321, 321], f16), T([96, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 96), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 1, 128], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 1, 128], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 1, 256], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 1, 256], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 1, 64], f16), T([1, 1, 3], f16), None, [1], [1], [1], False, [0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 1, 64], f16), T([1, 1, 3], f16), None, [1], [1], [1], False, [0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 10, 1, 1], f16), T([240, 10, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 10, 1, 1], f16), T([240, 10, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 100, 14, 14], f16), T([100, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 100), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 1024, 1, 1], f16), T([1024, 1024, 1, 1], f16), T([1024], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 1024, 14, 14], f16), T([1024, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 1024, 14, 14], f16), T([448, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 1024, 14, 14], f16), T([896, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 1024, 16, 16], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 1024, 16, 16], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 1024, 16, 16], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 1024, 7, 7], f16), T([1280, 1024, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2next50
((T([128, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hrnet_w18
((T([128, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), T([2048], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 1044, 1, 1], f16), T([87, 1044, 1, 1], f16), T([87], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 1044, 7, 7], f16), T([1044, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1044), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 1044, 7, 7], f16), T([185, 1044, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 106, 14, 14], f16), T([636, 106, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 1088, 14, 14], f16), T([768, 1088, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 1104, 1, 1], f16), T([48, 1104, 1, 1], f16), T([48], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 1104, 7, 7], f16), T([1104, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1104), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 1104, 7, 7], f16), T([1104, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 1104), {})