Chris@184: #!/usr/bin/env python Chris@184: Chris@184: import math Chris@184: import sys Chris@184: import os Chris@184: import random Chris@184: import struct Chris@184: import popen2 Chris@184: import getopt Chris@184: import numpy Chris@184: Chris@184: pi=math.pi Chris@184: e=math.e Chris@184: j=complex(0,1) Chris@184: Chris@184: doreal=0 Chris@184: Chris@184: datatype = os.environ.get('DATATYPE','float') Chris@184: Chris@184: util = '../tools/fft_' + datatype Chris@184: minsnr=90 Chris@184: if datatype == 'double': Chris@184: fmt='d' Chris@184: elif datatype=='int16_t': Chris@184: fmt='h' Chris@184: minsnr=10 Chris@184: elif datatype=='int32_t': Chris@184: fmt='i' Chris@184: elif datatype=='simd': Chris@184: fmt='4f' Chris@184: sys.stderr.write('testkiss.py does not yet test simd') Chris@184: sys.exit(0) Chris@184: elif datatype=='float': Chris@184: fmt='f' Chris@184: else: Chris@184: sys.stderr.write('unrecognized datatype %s\n' % datatype) Chris@184: sys.exit(1) Chris@184: Chris@184: Chris@184: def dopack(x,cpx=1): Chris@184: x = numpy.reshape( x, ( numpy.size(x),) ) Chris@184: Chris@184: if cpx: Chris@184: s = ''.join( [ struct.pack(fmt*2,c.real,c.imag) for c in x ] ) Chris@184: else: Chris@184: s = ''.join( [ struct.pack(fmt,c.real) for c in x ] ) Chris@184: return s Chris@184: Chris@184: def dounpack(x,cpx): Chris@184: uf = fmt * ( len(x) / struct.calcsize(fmt) ) Chris@184: s = struct.unpack(uf,x) Chris@184: if cpx: Chris@184: return numpy.array(s[::2]) + numpy.array( s[1::2] )*j Chris@184: else: Chris@184: return numpy.array(s ) Chris@184: Chris@184: def make_random(dims=[1]): Chris@184: res = [] Chris@184: for i in range(dims[0]): Chris@184: if len(dims)==1: Chris@184: r=random.uniform(-1,1) Chris@184: if doreal: Chris@184: res.append( r ) Chris@184: else: Chris@184: i=random.uniform(-1,1) Chris@184: res.append( complex(r,i) ) Chris@184: else: Chris@184: res.append( make_random( dims[1:] ) ) Chris@184: return numpy.array(res) Chris@184: Chris@184: def flatten(x): Chris@184: ntotal = numpy.size(x) Chris@184: return numpy.reshape(x,(ntotal,)) Chris@184: Chris@184: def randmat( ndims ): Chris@184: dims=[] Chris@184: for i in range( ndims ): Chris@184: curdim = int( random.uniform(2,5) ) Chris@184: if doreal and i==(ndims-1): Chris@184: curdim = int(curdim/2)*2 # force even last dimension if real Chris@184: dims.append( curdim ) Chris@184: return make_random(dims ) Chris@184: Chris@184: def test_fft(ndims): Chris@184: x=randmat( ndims ) Chris@184: Chris@184: Chris@184: if doreal: Chris@184: xver = numpy.fft.rfftn(x) Chris@184: else: Chris@184: xver = numpy.fft.fftn(x) Chris@184: Chris@184: open('/tmp/fftexp.dat','w').write(dopack( flatten(xver) , True ) ) Chris@184: Chris@184: x2=dofft(x,doreal) Chris@184: err = xver - x2 Chris@184: errf = flatten(err) Chris@184: xverf = flatten(xver) Chris@184: errpow = numpy.vdot(errf,errf)+1e-10 Chris@184: sigpow = numpy.vdot(xverf,xverf)+1e-10 Chris@184: snr = 10*math.log10(abs(sigpow/errpow) ) Chris@184: print 'SNR (compared to NumPy) : %.1fdB' % float(snr) Chris@184: Chris@184: if snr