operator name stringclasses 180
values | used in model stringclasses 155
values | args stringlengths 19 5.24k |
|---|---|---|
aten.convolution.default | TorchBench/resnext50_32x4d | ((T([8, 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/resnext50_32x4d | ((T([8, 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/resnext50_32x4d | ((T([8, 512, 28, 28], f16), T([512, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 32), {}) |
aten.convolution.default | TorchBench/resnext50_32x4d | ((T([8, 512, 28, 28], f16), T([512, 512, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/yolov3 | ((T([8, 64, 192, 256], f16), T([128, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/yolov3 | ((T([8, 64, 192, 256], f16), T([32, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnext50_32x4d | ((T([8, 64, 56, 56], f16), T([128, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/resnext50_32x4d | ((T([8, 64, 56, 56], f16), T([256, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/yolov3 | ((T([8, 64, 96, 128], f16), T([128, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/yolov3 | ((T([8, 768, 24, 32], f16), T([256, 768, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 128, 16, 16], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 128, 16, 16], f16), T([256, 128, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 128, 16, 16], f16), T([256, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 144, 28, 28], f16), T([32, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 144, 56, 56], f16), T([144, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 144), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 144, 56, 56], f16), T([144, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 144), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 144, 56, 56], f16), T([24, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 16, 112, 112], f16), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 160, 7, 7], f16), T([960, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 192, 14, 14], f16), T([64, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 192, 28, 28], f16), T([192, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 192), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 192, 28, 28], f16), T([192, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 192), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 192, 28, 28], f16), T([32, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 24, 56, 56], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 256, 8, 8], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 256, 8, 8], f16), T([512, 256, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 256, 8, 8], f16), T([512, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 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/mobilenet_v2 | ((T([96, 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/mobilenet_v2 | ((T([96, 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/mobilenet_v2 | ((T([96, 32, 28, 28], f16), T([192, 32, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 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/mobilenet_v2 | ((T([96, 384, 14, 14], f16), T([384, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 384), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 384, 14, 14], f16), T([64, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 384, 14, 14], f16), T([96, 384, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 512, 4, 4], f16), T([512, 512, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 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/mobilenet_v2 | ((T([96, 576, 14, 14], f16), T([576, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 576), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 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/mobilenet_v2 | ((T([96, 576, 7, 7], f16), T([160, 576, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 64, 14, 14], f16), T([384, 64, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 64, 32, 32], f16), T([128, 64, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 64, 32, 32], f16), T([128, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 64, 32, 32], f16), T([64, 64, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 64, 64, 64], f16), T([64, 64, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 64, 64, 64], f16), T([64, 64, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/LearningToPaint | ((T([96, 9, 128, 128], f16), T([64, 9, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 96, 112, 112], f16), T([96, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 96), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 96, 14, 14], f16), T([576, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 96, 56, 56], f16), T([24, 96, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 960, 7, 7], f16), T([160, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 960, 7, 7], f16), T([320, 960, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {}) |
aten.convolution.default | TorchBench/mobilenet_v2 | ((T([96, 960, 7, 7], f16), T([960, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 960), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 10, 1, 1], f16), T([1, 240, 1, 1], f16), T([10, 240, 1, 1], f16), [10], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 112, 40, 40], f16), T([1, 480, 40, 40], f16), T([112, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 112, 40, 40], f16), T([1, 672, 40, 40], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 1152, 1, 1], f16), T([1, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), [1152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 1152, 20, 20], f16), T([1, 1152, 20, 20], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 1152, 20, 20], f16), T([1, 1152, 20, 20], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 1152, 20, 20], f16), T([1, 192, 20, 20], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/pytorch_CycleGAN_and_pix2pix | ((T([1, 128, 128, 128], f16), T([1, 256, 64, 64], f16), T([256, 128, 3, 3], f16), [128], [2, 2], [1, 1], [1, 1], True, [1, 1], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/pytorch_CycleGAN_and_pix2pix | ((T([1, 128, 128, 128], f16), T([1, 64, 256, 256], 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 | TorchBench/pytorch_unet | ((T([1, 128, 160, 239], f16), T([1, 256, 160, 239], f16), T([128, 256, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/pytorch_unet | ((T([1, 128, 320, 479], f16), T([1, 128, 320, 479], 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/pytorch_unet | ((T([1, 128, 320, 479], f16), T([1, 256, 320, 479], f16), T([128, 256, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/pytorch_unet | ((T([1, 128, 320, 479], f16), T([1, 64, 320, 479], f16), T([128, 64, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 144, 1, 1], f16), T([1, 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 | TorchBench/timm_efficientdet | ((T([1, 144, 160, 160], f16), T([1, 144, 160, 160], 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 | TorchBench/timm_efficientdet | ((T([1, 144, 160, 160], f16), T([1, 24, 160, 160], 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 | TorchBench/timm_efficientdet | ((T([1, 144, 80, 80], f16), T([1, 144, 163, 163], 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 | TorchBench/timm_efficientdet | ((T([1, 16, 1, 1], f16), T([1, 4, 1, 1], f16), T([16, 4, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 16, 320, 320], f16), T([1, 16, 320, 320], f16), T([16, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 16, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 16, 320, 320], f16), T([1, 16, 320, 320], f16), T([16, 16, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 16, 320, 320], f16), T([1, 32, 320, 320], f16), T([16, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 192, 20, 20], f16), T([1, 1152, 20, 20], 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 | TorchBench/timm_efficientdet | ((T([1, 192, 20, 20], f16), T([1, 672, 20, 20], 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 | TorchBench/timm_efficientdet | ((T([1, 1920, 1, 1], f16), T([1, 80, 1, 1], f16), T([1920, 80, 1, 1], f16), [1920], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 1920, 20, 20], f16), T([1, 1920, 20, 20], 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 | TorchBench/timm_efficientdet | ((T([1, 1920, 20, 20], f16), T([1, 320, 20, 20], f16), T([1920, 320, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/pytorch_unet | ((T([1, 2, 640, 959], f16, stride=(0, 0, 0, 0)), T([1, 64, 640, 959], f16), T([2, 64, 1, 1], f16), [2], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 20, 1, 1], f16), T([1, 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 | TorchBench/timm_efficientdet | ((T([1, 24, 160, 160], f16), T([1, 144, 160, 160], 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 | TorchBench/timm_efficientdet | ((T([1, 24, 160, 160], f16), T([1, 96, 160, 160], 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 | TorchBench/timm_efficientdet | ((T([1, 240, 1, 1], f16), T([1, 10, 1, 1], f16), T([240, 10, 1, 1], f16), [240], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 240, 40, 40], f16), T([1, 240, 81, 81], f16), T([240, 1, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 240, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 240, 80, 80], f16), T([1, 240, 80, 80], f16), T([240, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 240, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 240, 80, 80], f16), T([1, 40, 80, 80], f16), T([240, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/pytorch_unet | ((T([1, 256, 160, 239], f16), T([1, 128, 160, 239], f16), T([256, 128, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/pytorch_unet | ((T([1, 256, 160, 239], f16), T([1, 256, 160, 239], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/pytorch_unet | ((T([1, 256, 160, 239], f16), T([1, 512, 160, 239], f16), T([256, 512, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/pytorch_CycleGAN_and_pix2pix | ((T([1, 256, 64, 64], f16), T([1, 128, 128, 128], f16), T([256, 128, 3, 3], f16), [256], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/pytorch_CycleGAN_and_pix2pix | ((T([1, 256, 64, 64], f16), T([1, 256, 66, 66], f16), T([256, 256, 3, 3], f16), [256], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/pytorch_unet | ((T([1, 256, 80, 119], f16), T([1, 512, 80, 119], f16), T([256, 512, 3, 3], f16), [256], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 28, 1, 1], f16), T([1, 672, 1, 1], f16), T([28, 672, 1, 1], f16), [28], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/pytorch_CycleGAN_and_pix2pix | ((T([1, 3, 256, 256], f16), T([1, 64, 262, 262], f16), T([3, 64, 7, 7], f16), [3], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 32, 1, 1], f16), T([1, 8, 1, 1], f16), T([32, 8, 1, 1], f16), [32], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 32, 320, 320], f16), T([1, 3, 641, 641], f16), T([32, 3, 3, 3], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [False, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 32, 320, 320], f16), T([1, 32, 320, 320], f16), T([32, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 32, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 320, 20, 20], f16), T([1, 1152, 20, 20], f16), T([320, 1152, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
aten.convolution_backward.default | TorchBench/timm_efficientdet | ((T([1, 320, 20, 20], f16), T([1, 1920, 20, 20], f16), T([320, 1920, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {}) |
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