Exemplo n.º 1
0
def Get_Linear_Equation_Gpu(x,
                            weight,
                            bin_data_num,
                            bin_data_y,
                            r,
                            dtype='f4'):
    n, p = x.shape
    d = p - 1
    if dtype is 'f4':
        dtype = af.Dtype.f32
    elif dtype is 'f8':
        dtype = af.Dtype.f64
    xw = af.constant(0, n, p, dtype=dtype)
    for ii in af.ParallelRange(p):
        xw[:, ii] = x[:, ii] * weight
    s = af.constant(0, p, p, np.prod(bin_data_num.shape), dtype=dtype)
    t = af.constant(0, p, np.prod(bin_data_num.shape), dtype=dtype)
    ker_d = np.ones(4, dtype='int')
    ker_d[:d] = 2 * r + 1
    if d is 4:
        for i in range(p):
            for j in range(i, p):
                if i is 0:
                    kernel = af.moddims(xw[:, j], ker_d[0], ker_d[1], ker_d[2],
                                        ker_d[3])
                    t[j] = af.flat(
                        af.reorder(Convolve4(bin_data_y, kernel), 3, 2, 1, 0))
                else:
                    kernel = af.moddims(xw[:, i] * x[:, j], ker_d[0], ker_d[1],
                                        ker_d[2], ker_d[3])
                s[i, j] = af.flat(
                    af.reorder(Convolve4(bin_data_num, kernel), 3, 2, 1, 0))
                s[j, i] = s[i, j]
    elif d < 4:
        for i in range(p):
            for j in range(i, p):
                if i is 0:
                    kernel = af.moddims(xw[:, j], ker_d[0], ker_d[1], ker_d[2],
                                        ker_d[3])
                    if kernel.elements() is 1:
                        t[j] = af.flat((bin_data_y * kernel.to_list()[0]).T)
                    else:
                        t[j] = af.flat(af.fft_convolve(bin_data_y, kernel).T)
                else:
                    kernel = af.moddims(xw[:, i] * x[:, j], ker_d[0], ker_d[1],
                                        ker_d[2], ker_d[3])
                if kernel.elements() is 1:
                    s[i, j] = af.flat((bin_data_num * kernel.to_list()[0]).T)
                else:
                    s[i, j] = af.flat(af.fft_convolve(bin_data_num, kernel).T)
                s[j, i] = s[i, j]
    for i in range(1, p):
        s[i, i] += 1e-12
    return ([
        np.array(s).reshape(p**2, -1).T.reshape(-1, p, p),
        np.array(af.flat(t))
    ])
Exemplo n.º 2
0
af.display(af.real(af.idft(af.dft(a))))

a = af.randu(4, 4, 2)
af.display(a)

af.display(af.fft3(a))
af.display(af.dft(a))
af.display(af.real(af.ifft3(af.fft3(a))))
af.display(af.real(af.idft(af.dft(a))))

a = af.randu(10, 1)
b = af.randu(3, 1)
af.display(af.convolve1(a, b))
af.display(af.fft_convolve1(a, b))
af.display(af.convolve(a, b))
af.display(af.fft_convolve(a, b))

a = af.randu(5, 5)
b = af.randu(3, 3)
af.display(af.convolve2(a, b))
af.display(af.fft_convolve2(a, b))
af.display(af.convolve(a, b))
af.display(af.fft_convolve(a, b))

a = af.randu(5, 5, 3)
b = af.randu(3, 3, 2)
af.display(af.convolve3(a, b))
af.display(af.fft_convolve3(a, b))
af.display(af.convolve(a, b))
af.display(af.fft_convolve(a, b))
Exemplo n.º 3
0
def simple_signal(verbose=False):
    display_func = _util.display_func(verbose)
    print_func   = _util.print_func(verbose)

    a = af.randu(10, 1)
    pos0 = af.randu(10) * 10
    display_func(af.approx1(a, pos0))

    a = af.randu(3, 3)
    pos0 = af.randu(3, 3) * 10
    pos1 = af.randu(3, 3) * 10

    display_func(af.approx2(a, pos0, pos1))

    a = af.randu(8, 1)
    display_func(a)

    display_func(af.fft(a))
    display_func(af.dft(a))
    display_func(af.real(af.ifft(af.fft(a))))
    display_func(af.real(af.idft(af.dft(a))))

    a = af.randu(4, 4)
    display_func(a)

    display_func(af.fft2(a))
    display_func(af.dft(a))
    display_func(af.real(af.ifft2(af.fft2(a))))
    display_func(af.real(af.idft(af.dft(a))))

    a = af.randu(4, 4, 2)
    display_func(a)

    display_func(af.fft3(a))
    display_func(af.dft(a))
    display_func(af.real(af.ifft3(af.fft3(a))))
    display_func(af.real(af.idft(af.dft(a))))

    a = af.randu(10, 1)
    b = af.randu(3, 1)
    display_func(af.convolve1(a, b))
    display_func(af.fft_convolve1(a, b))
    display_func(af.convolve(a, b))
    display_func(af.fft_convolve(a, b))

    a = af.randu(5, 5)
    b = af.randu(3, 3)
    display_func(af.convolve2(a, b))
    display_func(af.fft_convolve2(a, b))
    display_func(af.convolve(a, b))
    display_func(af.fft_convolve(a, b))

    a = af.randu(5, 5, 3)
    b = af.randu(3, 3, 2)
    display_func(af.convolve3(a, b))
    display_func(af.fft_convolve3(a, b))
    display_func(af.convolve(a, b))
    display_func(af.fft_convolve(a, b))


    b = af.randu(3, 1)
    x = af.randu(10, 1)
    a = af.randu(2, 1)
    display_func(af.fir(b, x))
    display_func(af.iir(b, a, x))
Exemplo n.º 4
0
def simple_signal(verbose=False):
    display_func = _util.display_func(verbose)
    print_func = _util.print_func(verbose)

    a = af.randu(10, 1)
    pos0 = af.randu(10) * 10
    display_func(af.approx1(a, pos0))

    a = af.randu(3, 3)
    pos0 = af.randu(3, 3) * 10
    pos1 = af.randu(3, 3) * 10

    display_func(af.approx2(a, pos0, pos1))

    a = af.randu(8, 1)
    display_func(a)

    display_func(af.fft(a))
    display_func(af.dft(a))
    display_func(af.real(af.ifft(af.fft(a))))
    display_func(af.real(af.idft(af.dft(a))))

    a = af.randu(4, 4)
    display_func(a)

    display_func(af.fft2(a))
    display_func(af.dft(a))
    display_func(af.real(af.ifft2(af.fft2(a))))
    display_func(af.real(af.idft(af.dft(a))))

    a = af.randu(4, 4, 2)
    display_func(a)

    display_func(af.fft3(a))
    display_func(af.dft(a))
    display_func(af.real(af.ifft3(af.fft3(a))))
    display_func(af.real(af.idft(af.dft(a))))

    a = af.randu(10, 1)
    b = af.randu(3, 1)
    display_func(af.convolve1(a, b))
    display_func(af.fft_convolve1(a, b))
    display_func(af.convolve(a, b))
    display_func(af.fft_convolve(a, b))

    a = af.randu(5, 5)
    b = af.randu(3, 3)
    display_func(af.convolve2(a, b))
    display_func(af.fft_convolve2(a, b))
    display_func(af.convolve(a, b))
    display_func(af.fft_convolve(a, b))

    a = af.randu(5, 5, 3)
    b = af.randu(3, 3, 2)
    display_func(af.convolve3(a, b))
    display_func(af.fft_convolve3(a, b))
    display_func(af.convolve(a, b))
    display_func(af.fft_convolve(a, b))

    b = af.randu(3, 1)
    x = af.randu(10, 1)
    a = af.randu(2, 1)
    display_func(af.fir(b, x))
    display_func(af.iir(b, a, x))
af.display(af.real(af.idft(af.dft(a))))

a = af.randu(4, 4, 2)
af.display(a)

af.display(af.fft3(a))
af.display(af.dft(a))
af.display(af.real(af.ifft3(af.fft3(a))))
af.display(af.real(af.idft(af.dft(a))))

a = af.randu(10, 1)
b = af.randu(3, 1)
af.display(af.convolve1(a, b))
af.display(af.fft_convolve1(a, b))
af.display(af.convolve(a, b))
af.display(af.fft_convolve(a, b))

a = af.randu(5, 5)
b = af.randu(3, 3)
af.display(af.convolve2(a, b))
af.display(af.fft_convolve2(a, b))
af.display(af.convolve(a, b))
af.display(af.fft_convolve(a, b))

a = af.randu(5, 5, 3)
b = af.randu(3, 3, 2)
af.display(af.convolve3(a, b))
af.display(af.fft_convolve3(a, b))
af.display(af.convolve(a, b))
af.display(af.fft_convolve(a, b))
Exemplo n.º 6
0
def simple_signal(verbose=False):
    display_func = _util.display_func(verbose)
    print_func   = _util.print_func(verbose)

    signal = af.randu(10)
    x_new  = af.randu(10)
    x_orig = af.randu(10)
    display_func(af.approx1(signal, x_new, xp = x_orig))

    signal = af.randu(3, 3)
    x_new  = af.randu(3, 3)
    x_orig = af.randu(3, 3)
    y_new  = af.randu(3, 3)
    y_orig = af.randu(3, 3)

    display_func(af.approx2(signal, x_new, y_new, xp = x_orig, yp = y_orig))

    a = af.randu(8, 1)
    display_func(a)

    display_func(af.fft(a))
    display_func(af.dft(a))
    display_func(af.real(af.ifft(af.fft(a))))
    display_func(af.real(af.idft(af.dft(a))))

    b = af.fft(a)
    af.ifft_inplace(b)
    display_func(b)
    af.fft_inplace(b)
    display_func(b)

    b = af.fft_r2c(a)
    c = af.fft_c2r(b)
    display_func(b)
    display_func(c)

    a = af.randu(4, 4)
    display_func(a)

    display_func(af.fft2(a))
    display_func(af.dft(a))
    display_func(af.real(af.ifft2(af.fft2(a))))
    display_func(af.real(af.idft(af.dft(a))))

    b = af.fft2(a)
    af.ifft2_inplace(b)
    display_func(b)
    af.fft2_inplace(b)
    display_func(b)

    b = af.fft2_r2c(a)
    c = af.fft2_c2r(b)
    display_func(b)
    display_func(c)

    a = af.randu(4, 4, 2)
    display_func(a)

    display_func(af.fft3(a))
    display_func(af.dft(a))
    display_func(af.real(af.ifft3(af.fft3(a))))
    display_func(af.real(af.idft(af.dft(a))))

    b = af.fft3(a)
    af.ifft3_inplace(b)
    display_func(b)
    af.fft3_inplace(b)
    display_func(b)

    b = af.fft3_r2c(a)
    c = af.fft3_c2r(b)
    display_func(b)
    display_func(c)

    a = af.randu(10, 1)
    b = af.randu(3, 1)
    display_func(af.convolve1(a, b))
    display_func(af.fft_convolve1(a, b))
    display_func(af.convolve(a, b))
    display_func(af.fft_convolve(a, b))

    a = af.randu(5, 5)
    b = af.randu(3, 3)
    display_func(af.convolve2(a, b))
    display_func(af.fft_convolve2(a, b))
    display_func(af.convolve(a, b))
    display_func(af.fft_convolve(a, b))

    a = af.randu(5, 5, 3)
    b = af.randu(3, 3, 2)
    display_func(af.convolve3(a, b))
    display_func(af.fft_convolve3(a, b))
    display_func(af.convolve(a, b))
    display_func(af.fft_convolve(a, b))


    b = af.randu(3, 1)
    x = af.randu(10, 1)
    a = af.randu(2, 1)
    display_func(af.fir(b, x))
    display_func(af.iir(b, a, x))

    display_func(af.medfilt1(a))
    display_func(af.medfilt2(a))
    display_func(af.medfilt(a))
Exemplo n.º 7
0
 def fftconvolve(arr1, arr2):
     return af.fft_convolve(arr1, arr2)
Exemplo n.º 8
0
def simple_signal(verbose=False):
    display_func = _util.display_func(verbose)

    signal = af.randu(10)
    x_new = af.randu(10)
    x_orig = af.randu(10)
    display_func(af.approx1(signal, x_new, xp=x_orig))

    signal = af.randu(3, 3)
    x_new = af.randu(3, 3)
    x_orig = af.randu(3, 3)
    y_new = af.randu(3, 3)
    y_orig = af.randu(3, 3)

    display_func(af.approx2(signal, x_new, y_new, xp=x_orig, yp=y_orig))

    a = af.randu(8, 1)
    display_func(a)

    display_func(af.fft(a))
    display_func(af.dft(a))
    display_func(af.real(af.ifft(af.fft(a))))
    display_func(af.real(af.idft(af.dft(a))))

    b = af.fft(a)
    af.ifft_inplace(b)
    display_func(b)
    af.fft_inplace(b)
    display_func(b)

    b = af.fft_r2c(a)
    c = af.fft_c2r(b)
    display_func(b)
    display_func(c)

    a = af.randu(4, 4)
    display_func(a)

    display_func(af.fft2(a))
    display_func(af.dft(a))
    display_func(af.real(af.ifft2(af.fft2(a))))
    display_func(af.real(af.idft(af.dft(a))))

    b = af.fft2(a)
    af.ifft2_inplace(b)
    display_func(b)
    af.fft2_inplace(b)
    display_func(b)

    b = af.fft2_r2c(a)
    c = af.fft2_c2r(b)
    display_func(b)
    display_func(c)

    a = af.randu(4, 4, 2)
    display_func(a)

    display_func(af.fft3(a))
    display_func(af.dft(a))
    display_func(af.real(af.ifft3(af.fft3(a))))
    display_func(af.real(af.idft(af.dft(a))))

    b = af.fft3(a)
    af.ifft3_inplace(b)
    display_func(b)
    af.fft3_inplace(b)
    display_func(b)

    b = af.fft3_r2c(a)
    c = af.fft3_c2r(b)
    display_func(b)
    display_func(c)

    a = af.randu(10, 1)
    b = af.randu(3, 1)
    display_func(af.convolve1(a, b))
    display_func(af.fft_convolve1(a, b))
    display_func(af.convolve(a, b))
    display_func(af.fft_convolve(a, b))

    a = af.randu(5, 5)
    b = af.randu(3, 3)
    display_func(af.convolve2(a, b))
    display_func(af.fft_convolve2(a, b))
    display_func(af.convolve(a, b))
    display_func(af.fft_convolve(a, b))

    c = af.convolve2NN(a, b)
    display_func(c)
    in_dims = c.dims()
    incoming_grad = af.constant(1, in_dims[0], in_dims[1])
    g = af.convolve2GradientNN(incoming_grad, a, b, c)
    display_func(g)

    a = af.randu(5, 5, 3)
    b = af.randu(3, 3, 2)
    display_func(af.convolve3(a, b))
    display_func(af.fft_convolve3(a, b))
    display_func(af.convolve(a, b))
    display_func(af.fft_convolve(a, b))

    b = af.randu(3, 1)
    x = af.randu(10, 1)
    a = af.randu(2, 1)
    display_func(af.fir(b, x))
    display_func(af.iir(b, a, x))

    display_func(af.medfilt1(a))
    display_func(af.medfilt2(a))
    display_func(af.medfilt(a))