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| """ | |
| real part | |
| [[ 2.98023224e-08 0.00000000e+00 2.98023224e-08] | |
| [ 0.00000000e+00 0.00000000e+00 0.00000000e+00] | |
| [ 0.00000000e+00 0.00000000e+00 0.00000000e+00]] | |
| img part | |
| [[ 0.00000000e+00 0.00000000e+00 0.00000000e+00] | |
| [ 0.00000000e+00 0.00000000e+00 0.00000000e+00] | |
| [ 0.00000000e+00 2.98023224e-08 0.00000000e+00]] | |
| real part | |
| [[[[ 9.79645666e+00 4.05509353e-01 -5.98364770e-02] | |
| [ -3.55478082e-01 1.95642087e+00 -2.57848706e-01] | |
| [ -2.45258212e-03 1.69161871e-01 1.00241494e+00]] | |
| [[ -4.37298611e+00 -2.96933994e+00 2.48340973e+00] | |
| [ -1.71750426e+00 1.20498252e+00 2.00737816e+00] | |
| [ -1.02334494e+00 -1.72791123e+00 1.49052728e+00]]]] | |
| img part | |
| [[[[ 0. 0.74940148 0. ] | |
| [-0.90688866 0.68082649 -0.64381433] | |
| [ 0.90688866 -0.43813284 0.64381433]] | |
| [[ 0. -0.73076117 0. ] | |
| [ 0.29543054 0.28315097 -1.53902638] | |
| [-0.29543054 0.94440503 1.53902638]]]] | |
| """ | |
| import numpy as np | |
| import theano | |
| import theano.tensor as T | |
| from theano.tensor import fft | |
| def test1(): | |
| x = T.matrix('x', dtype=theano.config.floatX) | |
| rfft = fft.rfft(x) | |
| f_rfft = theano.function([x], rfft) | |
| a = np.random.random([3,4]).astype(np.float32) | |
| res1 = np.fft.rfft(a) | |
| res2 = f_rfft(a) | |
| print "real part" | |
| print res2[..., 0] - np.real(res1) | |
| print "img part" | |
| print res2[..., 1] - np.imag(res1) | |
| def test2(): | |
| x = T.tensor4('x', dtype=theano.config.floatX) | |
| rfft = fft.rfft(x) | |
| f_rfft = theano.function([x], rfft) | |
| a = np.random.random([1,2,3,4]).astype(np.float32) | |
| res1 = np.fft.rfft(a) | |
| res2 = f_rfft(a) | |
| print "real part" | |
| print res2[..., 0] - np.real(res1) | |
| print "img part" | |
| print res2[..., 1] - np.imag(res1) | |
| if __name__ == "__main__": | |
| test1() | |
| test2() |
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