# 需要导入模块: from numpy.core import numeric [as 别名]# 或者: from numpy.core.numeric importcomplexfloating[as 别名]defgetH(self):""" Returns the (complex) conjugate transpose of `self`. Equivalent to ``np.transpose(self)`` if `self` is real-valued. Parameters --- None Returns ---...
# 需要导入模块: import numpy [as 别名]# 或者: from numpy importcomplex128[as 别名]deftest_quartic_fermionic_simulation_unitary(weights, exponent):generator = np.zeros((1<<4,) *2, dtype=np.complex128)# w0 |1001><0110| + h.c.generator[9,6] = weights[0] generator[6,9] = weights[...
transpose(0,2,1) if deriv == 0: aoSa = aoSa[0] aoSb = aoSb[0] return aoLa, aoLb, aoSa, aoSb else: return aoLa, aoLb Example #19Source File: aft_jk.py From pyscf with Apache License 2.0 5 votes def get_j_kpts(mydf, dm_kpts, hermi=1, kpts=numpy.zeros((1,3)), ...
numpy as jnp >>> from scipy.linalg import dft >>> a = jnp.array([1,4,5,7,8]) >>> dft_matrix = dft(a.shape[0]) >>> dft_matrix array([[ 1. +0.j , 1. +0.j , 1. +0.j , 1. +0.j , 1. +0.j ], [ 1. +0.j , 0.30901699-0.95105652j, -0.80901699-0.58778525...
Also, this parameter corrects the importation of mathematical function in the complex case from `math` to `numpy`, thus the function can handle the complex values. NOTE: from now on when declaring a SymPDE `Constant` for Psydac, the type of the constant must be specified with one of the...
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本文搜集整理了关于python中tensorflowpythonopsmath_ops complex方法/函数的使用示例。 Namespace/Package:tensorflowpythonopsmath_ops Method/Function:complex 导入包:tensorflowpythonopsmath_ops 每个示例代码都附有代码来源和完整的源代码,希望对您的程序开发有帮助。
# 需要导入模块: import numpy [as 别名]# 或者: from numpy importcomplexfloating[as 别名]deftest_mu(self):self.__arith_init()# basic testsassert_array_equal((self.__Asp*self.__Bsp.T).todense(),self.__A*self.__B.T)forxinsupported_dtypes: ...
conj().transpose(-2, -1); auto im = at::eye(m, self.options()); auto in = at::eye(n, self.options()); auto sigma_mat = sigma.diag_embed(/*offset=*/0, /*dim1=*/-2, /*dim2=*/-1); auto sigma_mat_inv = sigma.pow(-1).diag_embed(/*offset=*/0, /*dim1=*/-2,...
On the other hand, the transpose of lambda x: 1j * x breaks linearity when composed with functions with other functions, e.g., continuing my first example: In [15]: f_vjp(1j * (1 + 0j))[0] Out[15]: DeviceArray(-1., dtype=float64) In [16]: 1j * f_vjp(1 + 0j)[0] ...