resnet condition encoders
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@@ -23,19 +23,16 @@ config['cond_ae']['is_label'] = False
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config['cond_ae']['upscale_output'] = False
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config['cond_ae']['latent_dim'] = config['latent_dim']
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config['cond_ae']['kernel_size'] = 7
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config['cond_ae']['bottleneck_size'] = 16
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config['cond_ae']['encoder_depths'] = [3, 3, 9, 9, 3]
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config['cond_ae']['encoder_dims'] = [16, 32, 64, 128, config['cond_ae']['bottleneck_size']]
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config['cond_ae']['decoder_depths'] = config['cond_ae']['encoder_depths']
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config['cond_ae']['decoder_dims'] = config['cond_ae']['encoder_dims']
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config['cond_ae']['bottleneck_size'] = 16 * 2
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config['cond_ae']['layer_params'] = [3, 7, 15, 7, 3]
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config['cond_ae']['activation'] = 'tanh'
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config['gpu'] = '4'
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config['gpu'] = '3'
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config['lr'] = 0.0001
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config['name'] = 'body_r7_3'
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config['notes'] = 'resnet18'
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config['tags'] = ['review_7']
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config['name'] = 'body_resnet_1'
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config['notes'] = ''
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config['tags'] = ['iccv', 'resnet']
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config['cond_ae']['upscale_output'] = False
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config['pretrained_model'] = ''
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@@ -23,19 +23,17 @@ config['cond_ae']['is_label'] = True
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config['cond_ae']['upscale_output'] = False
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config['cond_ae']['latent_dim'] = config['latent_dim']
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config['cond_ae']['kernel_size'] = 7
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config['cond_ae']['bottleneck_size'] = 40
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config['cond_ae']['encoder_depths'] = [3, 3, 9, 9, 3]
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config['cond_ae']['encoder_dims'] = [16, 32, 64, 128, config['cond_ae']['bottleneck_size']]
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config['cond_ae']['decoder_depths'] = config['cond_ae']['encoder_depths']
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config['cond_ae']['decoder_dims'] = config['cond_ae']['encoder_dims']
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config['cond_ae']['bottleneck_size'] = 40 * 2
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config['cond_ae']['layer_params'] = [3, 7, 15, 7, 3]
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config['cond_ae']['activation'] = 'tanh'
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config['gpu'] = '3'
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config['gpu'] = '2'
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config['lr'] = 0.001
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config['name'] = 'curv_r7_3'
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config['notes'] = 'resnet18'
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config['tags'] = ['review_7']
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config['name'] = 'curv_resnet_1'
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config['notes'] = ''
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config['tags'] = ['iccv', 'resnet']
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config['cond_ae']['upscale_output'] = False
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config['pretrained_model'] = ''
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@@ -23,17 +23,17 @@ config['cond_ae']['is_label'] = False
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config['cond_ae']['upscale_output'] = False
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config['cond_ae']['latent_dim'] = config['latent_dim']
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config['cond_ae']['kernel_size'] = 7
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config['cond_ae']['bottleneck_size'] = 8*4 # 8*4
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config['cond_ae']['layer_params'] = [3, 4, 23, 4, 3]
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# config['cond_ae']['layer_params'] = [3, 4, 23, 3, 3]
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config['cond_ae']['activation'] = 'linear'
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config['cond_ae']['bottleneck_size'] = 8*2 # 8*4
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# config['cond_ae']['layer_params'] = [3, 4, 23, 4, 3]
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config['cond_ae']['layer_params'] = [3, 7, 15, 7, 3]
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config['cond_ae']['activation'] = 'tanh'
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config['gpu'] = '5'
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config['lr'] = 0.0001
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config['gpu'] = '1'
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config['lr'] = 3e-4
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config['name'] = 'static_resnet_1'
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config['notes'] = 'resnet101 based, one more block'
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config['tags'] = ['iccv', 'resnet']
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config['notes'] = ''
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config['tags'] = ['iccv', 'resnet', 'static']
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