Chris@366: #!/usr/bin/env python Chris@366: Chris@366: import math Chris@366: import sys Chris@366: import os Chris@366: import random Chris@366: import struct Chris@366: import popen2 Chris@366: import getopt Chris@366: import numpy Chris@366: Chris@366: pi=math.pi Chris@366: e=math.e Chris@366: j=complex(0,1) Chris@366: Chris@366: doreal=0 Chris@366: Chris@366: datatype = os.environ.get('DATATYPE','float') Chris@366: Chris@366: util = '../tools/fft_' + datatype Chris@366: minsnr=90 Chris@366: if datatype == 'double': Chris@366: fmt='d' Chris@366: elif datatype=='int16_t': Chris@366: fmt='h' Chris@366: minsnr=10 Chris@366: elif datatype=='int32_t': Chris@366: fmt='i' Chris@366: elif datatype=='simd': Chris@366: fmt='4f' Chris@366: sys.stderr.write('testkiss.py does not yet test simd') Chris@366: sys.exit(0) Chris@366: elif datatype=='float': Chris@366: fmt='f' Chris@366: else: Chris@366: sys.stderr.write('unrecognized datatype %s\n' % datatype) Chris@366: sys.exit(1) Chris@366: Chris@366: Chris@366: def dopack(x,cpx=1): Chris@366: x = numpy.reshape( x, ( numpy.size(x),) ) Chris@366: Chris@366: if cpx: Chris@366: s = ''.join( [ struct.pack(fmt*2,c.real,c.imag) for c in x ] ) Chris@366: else: Chris@366: s = ''.join( [ struct.pack(fmt,c.real) for c in x ] ) Chris@366: return s Chris@366: Chris@366: def dounpack(x,cpx): Chris@366: uf = fmt * ( len(x) / struct.calcsize(fmt) ) Chris@366: s = struct.unpack(uf,x) Chris@366: if cpx: Chris@366: return numpy.array(s[::2]) + numpy.array( s[1::2] )*j Chris@366: else: Chris@366: return numpy.array(s ) Chris@366: Chris@366: def make_random(dims=[1]): Chris@366: res = [] Chris@366: for i in range(dims[0]): Chris@366: if len(dims)==1: Chris@366: r=random.uniform(-1,1) Chris@366: if doreal: Chris@366: res.append( r ) Chris@366: else: Chris@366: i=random.uniform(-1,1) Chris@366: res.append( complex(r,i) ) Chris@366: else: Chris@366: res.append( make_random( dims[1:] ) ) Chris@366: return numpy.array(res) Chris@366: Chris@366: def flatten(x): Chris@366: ntotal = numpy.size(x) Chris@366: return numpy.reshape(x,(ntotal,)) Chris@366: Chris@366: def randmat( ndims ): Chris@366: dims=[] Chris@366: for i in range( ndims ): Chris@366: curdim = int( random.uniform(2,5) ) Chris@366: if doreal and i==(ndims-1): Chris@366: curdim = int(curdim/2)*2 # force even last dimension if real Chris@366: dims.append( curdim ) Chris@366: return make_random(dims ) Chris@366: Chris@366: def test_fft(ndims): Chris@366: x=randmat( ndims ) Chris@366: Chris@366: Chris@366: if doreal: Chris@366: xver = numpy.fft.rfftn(x) Chris@366: else: Chris@366: xver = numpy.fft.fftn(x) Chris@366: Chris@366: open('/tmp/fftexp.dat','w').write(dopack( flatten(xver) , True ) ) Chris@366: Chris@366: x2=dofft(x,doreal) Chris@366: err = xver - x2 Chris@366: errf = flatten(err) Chris@366: xverf = flatten(xver) Chris@366: errpow = numpy.vdot(errf,errf)+1e-10 Chris@366: sigpow = numpy.vdot(xverf,xverf)+1e-10 Chris@366: snr = 10*math.log10(abs(sigpow/errpow) ) Chris@366: print 'SNR (compared to NumPy) : %.1fdB' % float(snr) Chris@366: Chris@366: if snr