@@ -58,14 +58,114 @@ def save_params(fname, arg_params, aux_params, logger=None):
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'imagenet1k-resnext-101-64x4d' ,
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'imagenet11k-place365ch-resnet-152' ,
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'imagenet11k-place365ch-resnet-50' ]
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- gluon_models = ['resnet18_v1' ,
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+ gluon_models = ['faster_rcnn_fpn_resnet50_v1b_coco' ,
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+ 'mobilenetv2_0.75' ,
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+ 'ssd_512_resnet50_v1_voc_int8' ,
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+ 'cifar_resnet56_v1' ,
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+ 'mobilenet0.25' ,
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+ 'mobilenet1.0' ,
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+ 'mask_rcnn_fpn_resnet50_v1b_coco' ,
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+ 'simple_pose_resnet152_v1b' ,
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+ 'ssd_512_resnet50_v1_voc' ,
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+ 'faster_rcnn_resnet50_v1b_voc' ,
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+ 'cifar_resnet20_v1' ,
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+ 'yolo3_darknet53_voc' ,
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+ 'resnet101_v1c' ,
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+ 'simple_pose_resnet18_v1b' ,
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+ 'mask_rcnn_resnet50_v1b_coco' ,
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+ 'ssd_512_mobilenet1.0_coco' ,
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+ 'vgg19_bn' ,
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+ 'faster_rcnn_resnet50_v1b_coco' ,
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+ 'cifar_resnet110_v1' ,
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+ 'yolo3_mobilenet1.0_voc' ,
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+ 'cifar_resnext29_16x64d' ,
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+ 'resnet34_v1' ,
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+ 'densenet121' ,
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+ 'mask_rcnn_fpn_resnet101_v1d_coco' ,
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+ 'vgg13_bn' ,
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+ 'vgg19' ,
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+ 'resnet152_v1d' ,
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+ 'resnet152_v1s' ,
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+ 'densenet201' ,
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+ 'alexnet' ,
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+ 'se_resnext50_32x4d' ,
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+ 'resnet50_v1d_0.86' ,
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+ 'resnet18_v1b_0.89' ,
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+ 'yolo3_darknet53_coco' ,
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+ 'resnet152_v1' ,
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+ 'resnext101_64x4d' ,
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+ 'vgg13' ,
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+ 'resnet101_v1d_0.76' ,
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+ 'simple_pose_resnet50_v1d' ,
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+ 'senet_154' ,
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'resnet50_v1' ,
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- 'resnet101_v1' ,
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+ 'se_resnext101_32x4d' ,
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+ 'fcn_resnet101_voc' ,
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+ 'resnet152_v2' ,
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+ 'mask_rcnn_resnet101_v1d_coco' ,
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+ 'squeezenet1.1' ,
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+ 'mobilenet0.5' ,
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+ 'resnet34_v2' ,
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+ 'resnet18_v1' ,
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+ 'resnet152_v1b' ,
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+ 'resnet101_v2' ,
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+ 'cifar_resnet56_v2' ,
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+ 'ssd_512_resnet101_v2_voc' ,
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+ 'resnet50_v1d_0.37' ,
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+ 'mobilenetv2_0.5' ,
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+ 'faster_rcnn_fpn_bn_resnet50_v1b_coco' ,
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+ 'resnet50_v1c' ,
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+ 'densenet161' ,
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+ 'simple_pose_resnet50_v1b' ,
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+ 'resnet18_v1b' ,
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+ 'darknet53' ,
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+ 'fcn_resnet50_ade' ,
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+ 'cifar_wideresnet28_10' ,
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+ 'simple_pose_resnet101_v1d' ,
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+ 'vgg16' ,
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+ 'ssd_512_resnet50_v1_coco' ,
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+ 'resnet101_v1d_0.73' ,
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'squeezenet1.0' ,
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- 'mobilenet1.0' ,
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+ 'resnet50_v1b' ,
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+ 'faster_rcnn_resnet101_v1d_coco' ,
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+ 'ssd_512_mobilenet1.0_voc' ,
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+ 'cifar_wideresnet40_8' ,
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+ 'cifar_wideresnet16_10' ,
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+ 'cifar_resnet110_v2' ,
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+ 'resnet101_v1s' ,
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+ 'ssd_512_mobilenet1.0_voc_int8' ,
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+ 'mobilenetv2_0.25' ,
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+ 'resnet152_v1c' ,
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+ 'se_resnext101_64x4d' ,
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+ 'mobilenet1.0_int8' ,
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+ 'faster_rcnn_fpn_resnet101_v1d_coco' ,
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+ 'resnet50_v1d' ,
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+ 'densenet169' ,
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+ 'resnet34_v1b' ,
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+ 'resnext50_32x4d' ,
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+ 'resnet101_v1' ,
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+ 'resnet101_v1b' ,
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+ 'resnet50_v1s' ,
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+ 'mobilenet0.75' ,
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+ 'cifar_resnet20_v2' ,
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+ 'resnet101_v1d' ,
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+ 'vgg11_bn' ,
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+ 'resnet18_v2' ,
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+ 'vgg11' ,
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+ 'simple_pose_resnet101_v1b' ,
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+ 'resnext101_32x4d' ,
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+ 'resnet50_v2' ,
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+ 'vgg16_bn' ,
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'mobilenetv2_1.0' ,
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- 'inceptionv3' ,
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- 'ssd_512_resnet50_v1_voc' ]
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+ 'resnet50_v1d_0.48' ,
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+ 'resnet50_v1_int8' ,
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+ 'resnet50_v1d_0.11' ,
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+ 'fcn_resnet101_ade' ,
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+ 'simple_pose_resnet152_v1d' ,
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+ 'yolo3_mobilenet1.0_coco' ,
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+ 'fcn_resnet101_coco' ]
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+ # TODO(anisub): add support for other models from gluoncv
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+ # Not supported today mostly because of broken net.forward calls
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models = symbolic_models + gluon_models
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parser = argparse .ArgumentParser (description = 'Convert a provided FP32 model to a mixed precision model' )
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