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/dports/math/py-algopy/algopy-0.5.7/algopy/utpm/tests/
H A Dtest_algorithms.py61 x_shp = (D,P)
62 z_shp1 = broadcast_arrays_shape(x_shp, y_shp)
63 z_shp2 = broadcast_arrays_shape(y_shp, x_shp)
68 x_shp = (D,P)
69 z_shp1 = broadcast_arrays_shape(x_shp, y_shp)
70 z_shp2 = broadcast_arrays_shape(y_shp, x_shp)
75 x_shp = (D,P)
76 z_shp1 = broadcast_arrays_shape(x_shp, y_shp)
82 x_shp = (D,P,3,1,1)
89 x_shp = (D,P,3,1,1)
[all …]
/dports/math/py-algopy/algopy-0.5.7/algopy/utpm/
H A Dutpm.py193 x_shp = numpy.shape(x)
203 if not isinstance(x_shp, tuple): x_shp = (x_shp,)
1919 x_shp = x.data.shape
1928 out_shp = x_shp[:2] + x_shp[2:-1] + y_shp[2:][:-2] + y_shp[2:][-1:]
1934 x_shp = x.data.shape
1941 out_shp = x_shp[:2] + x_shp[2:-1] + y_shp[:-2] + y_shp[-1:]
1947 x_shp = x.shape
1978 out_shp = x_shp + x_shp[-1:]
1984 out_shp = x_shp + x_shp[-1:]
2048 if len(x_shp) == 3:
[all …]
H A Dalgorithms.py179 x_shp = numpy.shape(x)
186 P,N,M = x_shp
195 D,P,N,M = x_shp
248 tmp = x_shp
249 x_shp = y_shp
564 x_shp = x_data.shape
566 D,P = x_shp[:2]
567 shp = x_shp[2:]
1425 D,P,M,K = x_shp
1462 D,P,M,K = x_shp
[all …]
/dports/math/py-theano/Theano-1.0.5/theano/tensor/
H A Dsort.py442 x_shp = theano.tensor.shape(x)
447 arange(x_shp[i]).dimshuffle([0] + ['x'] * (ndim - i - 1))
/dports/databases/spatialite-tools/spatialite-tools-5.0.1/
H A Dshp_sanitize.c3971 int *n_shp, int *r_shp, int *x_shp, int validate, int esri, in do_scan_dir() argument
4091 *x_shp += 1; in do_scan_dir()
4183 int x_shp = 0; in main() local
4308 (cache, in_dir, out_dir, &n_shp, &r_shp, &x_shp, validate, esri, force)) in main()
4319 fprintf (stderr, "%d malformed Shapefil%s ha%s been identified.\n", x_shp, in main()
4320 (x_shp > 1) ? "es" : "e", (x_shp > 1) ? "ve" : "s"); in main()
/dports/math/py-theano/Theano-1.0.5/theano/tensor/nnet/
H A Dnnet.py1041 x_shp, b_shp, idx_shp = shapes
1042 nll_shp = (x_shp[0],)
1043 sm_shp = x_shp
/dports/math/py-theano/Theano-1.0.5/theano/tensor/tests/
H A Dtest_subtensor.py1486 x_shp = (20, 15, 10, 5)
1509 x_val = np.arange(np.prod(x_shp), dtype='float32').reshape(x_shp) + 1
1517 x_val = np.arange(np.prod(x_shp), dtype='float32').reshape(x_shp) + 1