New fftw module

python/_project.pyx

@@ -45,13 +45,6 @@ cdef int interp3d_INTERNAL_periodic(DTYPE_t x, DTYPE_t y,
     ry -= iy
     rz -= iz
 
-    while ix < 0:
-      ix += Ngrid
-    while iy < 0:
-      iy += Ngrid
-    while iz < 0:
-      iz += Ngrid
-
     jx = (ix+1)%Ngrid
     jy = (iy+1)%Ngrid
     jz = (iz+1)%Ngrid
@@ -194,12 +187,12 @@ def interp3d(x not None, y not None,
         Nelt = ax.size
         with nogil:
           if myperiodic:
-            for i in xrange(Nelt):
+            for i in prange(Nelt):
               if interp3d_INTERNAL_periodic(shifter+ax[i], shifter+ay[i], shifter+az[i], in_slice, Lbox, &out_slice[i]) < 0:
                 with gil:
                   raise ierror 
           else:
-            for i in xrange(Nelt):
+            for i in prange(Nelt):
               if interp3d_INTERNAL(shifter+ax[i], shifter+ay[i], shifter+az[i], in_slice, Lbox, &out_slice[i]) < 0:
                 with gil:
                   raise ierror
@@ -213,6 +206,7 @@ def interp3d(x not None, y not None,
         if interp3d_INTERNAL(shifter+x, shifter+y, shifter+z, d, Lbox, &retval) < 0:
           raise ierror
       return retval
+
 @cython.boundscheck(False)
 @cython.cdivision(True)
 cdef DTYPE_t interp2d_INTERNAL_periodic(DTYPE_t x, DTYPE_t y,
@@ -376,12 +370,17 @@ cdef void INTERNAL_project_cic_no_mass_periodic(npx.ndarray[DTYPE_t, ndim=3] g,
     cdef double a[3], c[3]
     cdef int b[3], b1[3]
     cdef int do_not_put
+    cdef DTYPE_t[:,:] ax
+    cdef DTYPE_t[:,:,:] ag
+
+    ax = x
+    ag = g
 
     for i in range(x.shape[0]):
 
         do_not_put = 0
         for j in range(3):
-            a[j] = (x[i,j]+half_Box)*delta_Box
+            a[j] = (ax[i,j]+half_Box)*delta_Box
             b[j] = int(floor(a[j]))
             b1[j] = (b[j]+1) % Ngrid
 
@@ -390,18 +389,15 @@ cdef void INTERNAL_project_cic_no_mass_periodic(npx.ndarray[DTYPE_t, ndim=3] g,
 
             b[j] %= Ngrid
 
-            assert b[j] >= 0 and b[j] < Ngrid
-            assert b1[j] >= 0 and b1[j] < Ngrid
-
-        g[b[0],b[1],b[2]] += c[0]*c[1]*c[2]
-        g[b1[0],b[1],b[2]] += a[0]*c[1]*c[2]
-        g[b[0],b1[1],b[2]] += c[0]*a[1]*c[2]
-        g[b1[0],b1[1],b[2]] += a[0]*a[1]*c[2]
+        ag[b[0],b[1],b[2]] += c[0]*c[1]*c[2]
+        ag[b1[0],b[1],b[2]] += a[0]*c[1]*c[2]
+        ag[b[0],b1[1],b[2]] += c[0]*a[1]*c[2]
+        ag[b1[0],b1[1],b[2]] += a[0]*a[1]*c[2]
         
-        g[b[0],b[1],b1[2]] += c[0]*c[1]*a[2]
-        g[b1[0],b[1],b1[2]] += a[0]*c[1]*a[2]
-        g[b[0],b1[1],b1[2]] += c[0]*a[1]*a[2]
-        g[b1[0],b1[1],b1[2]] += a[0]*a[1]*a[2]
+        ag[b[0],b[1],b1[2]] += c[0]*c[1]*a[2]
+        ag[b1[0],b[1],b1[2]] += a[0]*c[1]*a[2]
+        ag[b[0],b1[1],b1[2]] += c[0]*a[1]*a[2]
+        ag[b1[0],b1[1],b1[2]] += a[0]*a[1]*a[2]
 
 
 @cython.boundscheck(False)

python/cosmotool/__init__.py

@@ -1,7 +1,12 @@
 from _cosmotool import *
 from _project import *
-from grafic import writeGrafic, writeWhitePhase, readGrafic, readWhitePhase
-from borg import read_borg_vol
-from cic import cicParticles
-from simu import loadRamsesAll, simpleWriteGadget, SimulationBare
-from timing import timeit, timeit_quiet
+from .grafic import writeGrafic, writeWhitePhase, readGrafic, readWhitePhase
+from .borg import read_borg_vol
+from .cic import cicParticles
+from .simu import loadRamsesAll, simpleWriteGadget, SimulationBare
+from .timing import timeit, timeit_quiet
+
+try:
+  from .fftw import CubeFT
+except ImportError:
+  print("No FFTW support")

python/cosmotool/fftw.py

@@ -0,0 +1,36 @@
+import pyfftw
+import multiprocessing
+import numpy as np
+import numexpr as ne
+
+class CubeFT(object):
+  def __init__(self, L, N, max_cpu=-1):
+  
+      self.N = N
+      self.align = pyfftw.simd_alignment
+      self.L = L
+      self.max_cpu = multiprocessing.cpu_count() if max_cpu < 0 else max_cpu
+      self._dhat = pyfftw.n_byte_align_empty((self.N,self.N,self.N/2+1), self.align, dtype='complex64')
+      self._density = pyfftw.n_byte_align_empty((self.N,self.N,self.N), self.align, dtype='float32')
+      self._irfft = pyfftw.FFTW(self._dhat, self._density, axes=(0,1,2), direction='FFTW_BACKWARD', threads=self.max_cpu, normalize_idft=False)
+      self._rfft = pyfftw.FFTW(self._density, self._dhat, axes=(0,1,2), threads=self.max_cpu, normalize_idft=False)
+
+  def rfft(self):
+      return ne.evaluate('c*a', out=self._dhat, local_dict={'c':self._rfft(normalise_idft=False),'a':(self.L/self.N)**3}, casting='unsafe')
+      
+  def irfft(self):
+      return ne.evaluate('c*a', out=self._density, local_dict={'c':self._irfft(normalise_idft=False),'a':(1/self.L)**3}, casting='unsafe')
+   
+  def get_dhat(self):
+      return self._dhat
+  def set_dhat(self, in_dhat):
+      self._dhat[:] = in_dhat 
+  dhat = property(get_dhat, set_dhat, None)
+      
+  def get_density(self):
+      return self._density      
+  def set_density(self, d):
+      self._density[:] = d 
+  density = property(get_density, set_density, None)
+      
+