Searched refs:style_loss (Results 1 – 8 of 8) sorted by relevance
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/gluon/style_transfer/ |
H A D | main.py | 91 style_loss = 0. 96 style_loss = style_loss + 2 * args.style_weight * \ 99 total_loss = content_loss + style_loss 106 agg_style_loss += style_loss[0] 190 style_loss = 0. 194 style_loss = style_loss + 2 * args.style_weight * mse_loss(gram_y, gram_s) 195 total_loss = content_loss + style_loss
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/gluon/style_transfer/ |
H A D | main.py | 91 style_loss = 0. 96 style_loss = style_loss + 2 * args.style_weight * \ 99 total_loss = content_loss + style_loss 106 agg_style_loss += style_loss[0] 190 style_loss = 0. 194 style_loss = style_loss + 2 * args.style_weight * mse_loss(gram_y, gram_s) 195 total_loss = content_loss + style_loss
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/dports/math/py-keras/Keras-2.4.3/examples/ |
H A D | neural_style_transfer.py | 171 def style_loss(style, combination): function 222 sl = style_loss(style_reference_features, combination_features)
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H A D | neural_doodle.py | 258 def style_loss(style_image, target_image, style_masks, target_masks): function 311 sl = style_loss(style_feat, target_feat, style_masks, target_masks)
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/dports/misc/mxnet/incubator-mxnet-1.9.0/example/neural-style/end_to_end/ |
H A D | basic.py | 97 style_loss, content_loss = get_loss(gram, content) 98 sym = mx.sym.Group([style_loss, content_loss])
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/neural-style/end_to_end/ |
H A D | basic.py | 97 style_loss, content_loss = get_loss(gram, content) 98 sym = mx.sym.Group([style_loss, content_loss])
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/dports/misc/mxnet/incubator-mxnet-1.9.0/example/neural-style/ |
H A D | nstyle.py | 198 style_loss, content_loss = get_loss(gram, content) 200 style_loss, content_loss, size, dev)
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/neural-style/ |
H A D | nstyle.py | 198 style_loss, content_loss = get_loss(gram, content) 200 style_loss, content_loss, size, dev)
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