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DAMASK_EICMD
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slight reduction of code doubling

This commit is contained in:
Philip Eisenlohr 2022-11-29 15:47:11 -05:00
parent d364808c82
commit 8ba9bb02c7
1 changed files with 4 additions and 4 deletions
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8
python/damask/grid_filters.py
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@ -103,8 +103,8 @@ def divergence(size: _FloatSequence,
k_s = _ks(size,f.shape[:3],True) k_s = _ks(size,f.shape[:3],True)
f_fourier = _np.fft.rfftn(f,axes=(0,1,2)) f_fourier = _np.fft.rfftn(f,axes=(0,1,2))
divergence_ = (_np.einsum('ijkl,ijkl ->ijk', k_s,f_fourier)*2.0j*_np.pi if n == 3 else # vector, 3 -> 1 divergence_ = (_np.einsum('ijkl,ijkl ->ijk' if n==3 else
_np.einsum('ijkm,ijklm->ijkl',k_s,f_fourier)*2.0j*_np.pi) # tensor, 3x3 -> 3 'ijkm,ijklm->ijkl', k_s,f_fourier)*2.0j*_np.pi) # vector 3 -> 1, tensor 3x3 -> 3
return _np.fft.irfftn(divergence_,axes=(0,1,2),s=f.shape[:3]) return _np.fft.irfftn(divergence_,axes=(0,1,2),s=f.shape[:3])
@ -131,8 +131,8 @@ def gradient(size: _FloatSequence,
k_s = _ks(size,f.shape[:3],True) k_s = _ks(size,f.shape[:3],True)
f_fourier = _np.fft.rfftn(f,axes=(0,1,2)) f_fourier = _np.fft.rfftn(f,axes=(0,1,2))
gradient_ = (_np.einsum('ijkl,ijkm->ijkm', f_fourier,k_s)*2.0j*_np.pi if n == 1 else # scalar, 1 -> 3 gradient_ = (_np.einsum('ijkl,ijkm->ijkm' if n==1 else
_np.einsum('ijkl,ijkm->ijklm',f_fourier,k_s)*2.0j*_np.pi) # vector, 3 -> 3x3 'ijkl,ijkm->ijklm',f_fourier,k_s)*2.0j*_np.pi) # scalar 1 -> 3, vector 3 -> 3x3
return _np.fft.irfftn(gradient_,axes=(0,1,2),s=f.shape[:3]) return _np.fft.irfftn(gradient_,axes=(0,1,2),s=f.shape[:3])