qmctorch.wavefunction.jastrows.elec_elec.kernels.jastrow_kernel_electron_electron_base module¶
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class
qmctorch.wavefunction.jastrows.elec_elec.kernels.jastrow_kernel_electron_electron_base.
JastrowKernelElectronElectronBase
(nup, ndown, cuda, **kwargs)[source]¶ Bases:
sphinx.ext.autodoc.importer._MockObject
Base class for the elec-elec jastrow kernels
Parameters: -
forward
(r)[source]¶ Get the elements of the jastrow matrix :
Parameters: r (torch.tensor) – matrix of the e-e distances Nbatch x Nelec_pair Returns: - matrix fof the jastrow elements
- Nmo x Nbatch x Nelec_pair
Return type: torch.tensor Note
The kernel receives a [Nbatch x Npair] tensor. The kernel must first reshape that tensor to a [Nbatch*Npair, 1]. The kernel must process this tensor to another [Nbatch*Npair, 1] tensor. The kenrel must reshape the output to a [Nbatch x Npair] tensor.
Example
>>> def forward(self, x): >>> nbatch, npairs = x.shape >>> x = x.reshape(-1, 1) >>> x = self.fc1(x) >>> ... >>> return(x.reshape(nbatch, npairs))
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compute_derivative
(r, dr)[source]¶ Get the elements of the derivative of the jastrow kernels wrt to the first electrons using automatic differentiation
Parameters: - r (torch.tensor) – matrix of the e-e distances Nbatch x Nelec_pair
- dr (torch.tensor) – matrix of the derivative of the e-e distances Nbatch x Ndim x Nelec_pair
Returns: - matrix fof the derivative of the jastrow elements
Nmo x Nbatch x Ndim x Nelec_pair
Return type: torch.tensor
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compute_second_derivative
(r, dr, d2r)[source]¶ Get the elements of the pure 2nd derivative of the jastrow kernels wrt to the first electron using automatic differentiation
Parameters: - r (torch.tensor) – matrix of the e-e distances Nbatch x Nelec_pair
- dr (torch.tensor) – matrix of the derivative of the e-e distances Nbatch x Ndim x Nelec_pair
- d2r (torch.tensor) –
- matrix of the 2nd derivative of
- the e-e distances
Nbatch x Ndim x Nelec_pair
Returns: - matrix fof the pure 2nd derivative of
the jastrow elements Nmo x Nbatch x Ndim x Nelec_pair
Return type: torch.tensor
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