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Searched refs:clip_norm (Results 1 – 11 of 11) sorted by relevance

/dports/misc/mxnet/incubator-mxnet-1.9.0/example/neural-style/end_to_end/
H A Dbasic.py154 clip_norm = 1 * np.prod(img.shape) variable
162 if gnorm > clip_norm:
163 print("Data Grad: ", gnorm / clip_norm)
164 data_grad[:] *= clip_norm / gnorm
H A Dboost_train.py30 clip_norm = 0.05 * np.prod(dshape) variable
146 if gnorm > clip_norm:
147 grad[:] *= clip_norm / gnorm
H A Dboost_inference.py26 clip_norm = 1.0 * np.prod(dshape) variable
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/neural-style/end_to_end/
H A Dbasic.py154 clip_norm = 1 * np.prod(img.shape) variable
162 if gnorm > clip_norm:
163 print("Data Grad: ", gnorm / clip_norm)
164 data_grad[:] *= clip_norm / gnorm
H A Dboost_train.py30 clip_norm = 0.05 * np.prod(dshape) variable
146 if gnorm > clip_norm:
147 grad[:] *= clip_norm / gnorm
H A Dboost_inference.py26 clip_norm = 1.0 * np.prod(dshape) variable
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/neural-style/
H A Dnstyle.py228 clip_norm = 1 * np.prod(img.shape)
236 if gnorm > clip_norm:
237 model_executor.data_grad[:] *= clip_norm / gnorm
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/neural-style/
H A Dnstyle.py228 clip_norm = 1 * np.prod(img.shape)
236 if gnorm > clip_norm:
237 model_executor.data_grad[:] *= clip_norm / gnorm
/dports/math/py-keras/Keras-2.4.3/examples/
H A Dmnist_irnn.py32 clip_norm = 1.0 variable
/dports/x11-clocks/dclock/dclock/
H A DDclock.c334 Region clip_norm, clip_small, clip_colon; variable
580 XDestroyRegion(clip_norm);
667 clip_norm = XPolygonRegion(clip_pts, 5, WindingRule);
1573 XSetRegion(dpy, gc, clip_norm);
1629 XSetRegion(dpy, gc, clip_norm);
1655 XSetRegion(dpy, gc, clip_norm);
/dports/astro/p5-Starlink-AST/Starlink-AST-1.05/ast/
H A Dplot.c28037 int clip_norm; /* Normalise the clipping positions? */ in Trans() local
28123 clip_norm = 1; in Trans()
28143 if( norm ) clip_norm = 0; in Trans()
28164 if( clip_norm ){ in Trans()