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Searched refs:compute_uv (Results 1 – 25 of 67) sorted by relevance

123

/dports/science/py-scipy/scipy-1.7.1/scipy/linalg/
H A Ddecomp_svd.py13 def svd(a, full_matrices=True, compute_uv=True, overwrite_a=False, argument
124 compute_uv=compute_uv, full_matrices=full_matrices)
127 u, s, v, info = gesXd(a1, compute_uv=compute_uv, lwork=lwork,
135 if compute_uv:
225 return svd(a, compute_uv=0, overwrite_a=overwrite_a,
H A Dflapack_gen.pyf.src306 integer intent(in),optional,check(compute_uv==0||compute_uv==1):: compute_uv = 1
311 integer intent(hide),depend(compute_uv,minmn) :: u0 = (compute_uv?m:1)
334 integer intent(in),optional,check(compute_uv==0||compute_uv==1):: compute_uv = 1
339 integer intent(hide),depend(compute_uv,minmn) :: u0 = (compute_uv?m:1)
365 integer intent(in),optional,check(compute_uv==0||compute_uv==1):: compute_uv = 1
370 integer intent(hide),depend(compute_uv,minmn) :: u0 = (compute_uv?m:1)
394 integer intent(in),optional,check(compute_uv==0||compute_uv==1):: compute_uv = 1
426 integer intent(in),optional,check(compute_uv==0||compute_uv==1):: compute_uv = 1
452 integer intent(in),optional,check(compute_uv==0||compute_uv==1):: compute_uv = 1
482 integer intent(in),optional,check(compute_uv==0||compute_uv==1):: compute_uv = 1
[all …]
/dports/math/py-jax/jax-0.2.9/jax/_src/lax/
H A Dlinalg.py185 if compute_uv:
1126 compute_uv=compute_uv)
1133 c, operand, full_matrices=full_matrices, compute_uv=compute_uv)
1143 if not compute_uv:
1159 if compute_uv:
1183 if not compute_uv:
1211 if not compute_uv:
1230 c, operand, full_matrices=full_matrices, compute_uv=compute_uv)
1234 compute_uv=compute_uv)
1241 if compute_uv:
[all …]
/dports/math/py-theano/Theano-1.0.5/theano/tensor/
H A Dnlinalg.py567 def __init__(self, full_matrices=True, compute_uv=True): argument
569 self.compute_uv = compute_uv
575 if self.compute_uv:
585 if self.compute_uv:
589 self.compute_uv)
592 s[0] = self._numop(x, self.full_matrices, self.compute_uv)
599 if self.compute_uv:
607 def svd(a, full_matrices=1, compute_uv=1): argument
627 return SVD(full_matrices, compute_uv)(a)
/dports/science/afni/afni-AFNI_21.3.16/src/pkundu/meica.libs/mdp/utils/
H A D__init__.py67 def svd(x, compute_uv = True): argument
72 if compute_uv:
76 s = _mdp.numx_linalg.svd(x, compute_uv=False)
/dports/science/py-mdp/MDP-3.5/mdp/utils/
H A D__init__.py69 def svd(x, compute_uv = True): argument
74 if compute_uv:
78 s = _mdp.numx_linalg.svd(x, compute_uv=False)
/dports/math/py-theano/Theano-1.0.5/theano/gpuarray/c_code/
H A Dmagma_svd.c12 bool compute_uv = (U != NULL); in APPLY_SPECIFIC() local
62 if (compute_uv) { in APPLY_SPECIFIC()
131 if (compute_uv) { in APPLY_SPECIFIC()
/dports/math/py-theano/Theano-1.0.5/theano/tensor/tests/
H A Dtest_nlinalg.py163 fn = function([A], svd(A, compute_uv=False))
168 self.validate_shape((4, 4), full_matrices=True, compute_uv=True)
169 self.validate_shape((4, 4), full_matrices=False, compute_uv=True)
170 self.validate_shape((2, 4), full_matrices=False, compute_uv=True)
171 self.validate_shape((4, 2), full_matrices=False, compute_uv=True)
172 self.validate_shape((4, 4), compute_uv=False)
174 def validate_shape(self, shape, compute_uv=True, full_matrices=True): argument
177 outputs = self.op(A, full_matrices=full_matrices, compute_uv=compute_uv)
178 if not compute_uv:
/dports/math/py-theano/Theano-1.0.5/theano/gpuarray/
H A Dlinalg.py661 def __init__(self, full_matrices=True, compute_uv=True): argument
663 self.compute_uv = compute_uv
674 if self.compute_uv:
690 if self.compute_uv:
705 if self.compute_uv:
713 def gpu_svd(a, full_matrices=1, compute_uv=1): argument
733 out = GpuMagmaSVD(full_matrices, compute_uv)(a)
734 if compute_uv:
/dports/finance/py-quantecon/quantecon-0.5.2/quantecon/
H A Drank_nullspace.py45 s = svd(A, compute_uv=False)
/dports/science/py-chainer/chainer-7.8.0/chainerx_cc/chainerx/routines/
H A Dlinalg.cc194 std::tuple<Array, Array, Array> Svd(const Array& a, bool full_matrices, bool compute_uv) { in Svd() argument
207 if (compute_uv) { in Svd()
226 a.device().backend().CallKernel<SvdKernel>(a, u, s, vt, full_matrices, compute_uv); in Svd()
239 compute_uv](BackwardContext& bctx) { in Svd()
243 if (!compute_uv) { in Svd()
H A Dlinalg.h18 std::tuple<Array, Array, Array> Svd(const Array& a, bool full_matrices, bool compute_uv);
/dports/science/py-chainer/chainer-7.8.0/chainerx/linalg/
H A D__init__.pyi21 compute_uv: bool=...) -> tp.Union[tp.Tuple[ndarray, ndarray, ndarray], ndarray]: ...
/dports/math/py-numpy/numpy-1.20.3/numpy/linalg/
H A Dlinalg.py1478 def _svd_dispatcher(a, full_matrices=None, compute_uv=None, hermitian=None): argument
1483 def svd(a, full_matrices=True, compute_uv=True, hermitian=False): argument
1624 if compute_uv:
1647 if compute_uv:
1765 s = svd(x, compute_uv=False)
1901 S = svd(M, compute_uv=False, hermitian=hermitian)
2354 result = op(svd(y, compute_uv=False), axis=-1)
/dports/science/py-chainer/chainer-7.8.0/chainerx_cc/chainerx/kernels/
H A Dlinalg.h32 …rray& a, const Array& u, const Array& s, const Array& vt, bool full_matrices, bool compute_uv) = 0;
/dports/science/py-pyscf/pyscf-2.0.1/examples/local_orb/
H A Dulocal.py138 sig = scipy.linalg.svd(tij,compute_uv=False)
142 sig = scipy.linalg.svd(tij,compute_uv=False)
/dports/math/py-mpmath/mpmath-1.2.1/mpmath/matrices/
H A Deigen_symmetric.py1523 def svd_r(ctx, A, full_matrices = False, compute_uv = True, overwrite_a = False): argument
1593 if not compute_uv:
1628 def svd_c(ctx, A, full_matrices = False, compute_uv = True, overwrite_a = False): argument
1697 if not compute_uv:
1730 def svd(ctx, A, full_matrices = False, compute_uv = True, overwrite_a = False): argument
1805 …return ctx.svd_c(A, full_matrices = full_matrices, compute_uv = compute_uv, overwrite_a = overwrit…
1807 …return ctx.svd_r(A, full_matrices = full_matrices, compute_uv = compute_uv, overwrite_a = overwrit…
/dports/science/afni/afni-AFNI_21.3.16/src/pkundu/meica.libs/mdp/nodes/
H A Dlle_nodes.py158 sig2 = svd(M_Mi, compute_uv=0)**2
240 sig2 = (svd(M_Mi, compute_uv=0))**2
290 sig2 = (svd(M_xi, compute_uv=0))**2
/dports/science/py-mdp/MDP-3.5/mdp/nodes/
H A Dlle_nodes.py162 sig2 = svd(M_Mi, compute_uv=0)**2
244 sig2 = (svd(M_Mi, compute_uv=0))**2
294 sig2 = (svd(M_xi, compute_uv=0))**2
/dports/math/py-numpy/numpy-1.20.3/doc/source/release/
H A D1.8.2-notes.rst14 * gh-4733: fix np.linalg.svd(b, compute_uv=False)
/dports/math/py-jax/jax-0.2.9/jax/_src/third_party/numpy/
H A Dlinalg.py46 s = la.svd(x, compute_uv=False)
49 s = la.svd(x, compute_uv=False)
/dports/math/py-jax/jax-0.2.9/jax/_src/numpy/
H A Dlinalg.py56 def svd(a, full_matrices=True, compute_uv=True): argument
58 return lax_linalg.svd(a, full_matrices, compute_uv)
105 S = svd(M, full_matrices=False, compute_uv=False)
413 y = reducer(svd(x, compute_uv=False), axis=-1)
/dports/science/py-GPy/GPy-1.10.0/GPy/models/
H A Dstate_space_main.py258 compute_uv=True, overwrite_a=False,
267 compute_uv=True,
401 compute_uv=True,
412 compute_uv=True,
1182 (U,S,Vh) = sp.linalg.svd( P_init,full_matrices=False, compute_uv=True,
1412 (U,S,Vh) = sp.linalg.svd( svd_1_matr,full_matrices=False, compute_uv=True,
1721 (U,S,Vh) = sp.linalg.svd( svd_2_matr,full_matrices=False, compute_uv=True,
2405 …(U, S, Vh) = sp.linalg.svd( self.v_Qk, full_matrices=False, compute_uv=True, overwrite_a=False, ch…
2586 full_matrices=False, compute_uv=True,
2629 full_matrices=False, compute_uv=True,
[all …]
/dports/math/py-theano/Theano-1.0.5/theano/gpuarray/tests/
H A Dtest_linalg.py406 def run_gpu_svd(self, A_val, full_matrices=True, compute_uv=True): argument
409 [A], gpu_svd(A, full_matrices=full_matrices, compute_uv=compute_uv),
455 [A], theano.tensor.nlinalg.svd(A, compute_uv=False),
458 [A], gpu_svd(A, compute_uv=False), mode=mode_with_gpu)
/dports/math/py-autograd/autograd-1.3/autograd/numpy/
H A Dlinalg.py134 def grad_svd(usv_, a, full_matrices=True, compute_uv=True): argument
138 if not compute_uv:

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