Python tanh Beispiele

Beispiel #1

Datei: initialize.py Projekt: mchandra/Bolt

def initialize_f(q1, q2, v1, v2, v3, params):

    m = params.mass
    k = params.boltzmann_constant

    q2_minus = 0.5
    q2_plus = 1.5

    regulator = 20  # larger value makes the transition sharper

    n = 1 + 0.5 * (af.tanh((q2 - q2_minus) * regulator) - af.tanh(
        (q2 - q2_plus) * regulator))

    v1_bulk = (af.tanh((q2 - q2_minus) * regulator) - af.tanh(
        (q2 - q2_plus) * regulator) - 1)

    v2_bulk = 0.01 * af.sin(2 * np.pi * q1) *\
              (  af.exp(-25 * (q2 - q2_minus)**2)
               + af.exp(-25 * (q2 - q2_plus )**2)
              )

    T = (10 / n)

    f = n * (m / (2 * np.pi * k * T)) \
          * af.exp(-m * (v1 - v1_bulk)**2 / (2 * k * T)) \
          * af.exp(-m * (v2 - v2_bulk)**2 / (2 * k * T))

    af.eval(f)
    return (f)

Beispiel #2

Datei: initialize.py Projekt: mchandra/Bolt

def initialize_f(q1, q2, p1, p2, p3, params):

    m = params.mass
    k = params.boltzmann_constant

    q2_minus = 0.5
    q2_plus  = 1.5

    regulator = 20  # larger value makes the transition sharper

    rho = 1 + 0.5 * (  af.tanh(( q2 - q2_minus)*regulator) 
                     - af.tanh(( q2 - q2_plus )*regulator)
                    )

    p1_bulk = (  af.tanh(( q2 - q2_minus)*regulator)
               - af.tanh(( q2 - q2_plus )*regulator) - 1
              )

    p2_bulk = 0.5 * af.sin(2*np.pi*q1) *\
              (  af.exp(-25 * (q2 - q2_minus)**2)
               + af.exp(-25 * (q2 - q2_plus )**2)
              )
              
    T = (10 / rho)

    f = rho * (m / (2 * np.pi * k * T))**(3 / 2) \
            * af.exp(-m * (p1 - p1_bulk)**2 / (2 * k * T)) \
            * af.exp(-m * (p2 - p2_bulk)**2 / (2 * k * T)) \
            * af.exp(-m * (p3)**2 / (2 * k * T))

    af.eval(f)
    return (f)

Beispiel #3

Datei: run_cases.py Projekt: mchandra/Bolt

def lowpass_filter(f):
    f_hat = af.fft(f)
    dp1 = (domain.p1_end[0] - domain.p1_start[0]) / domain.N_p1
    k_v = af.tile(af.to_array(np.fft.fftfreq(domain.N_p1, dp1)), 1, 1,
                  f.shape[2], f.shape[3])

    # Applying the filter:
    f_hat_filtered = 0.5 * (f_hat * (af.tanh(
        (k_v + 0.9 * af.max(k_v)) / 0.5) - af.tanh(
            (k_v + 0.9 * af.min(k_v)) / 0.5)))

    f_hat = af.select(af.abs(k_v) < 0.8 * af.max(k_v), f_hat, f_hat_filtered)
    f = af.real(af.ifft(f_hat))
    return (f)

Beispiel #4

Datei: scimath.py Projekt: connectthefuture/afnumpy

def tanh(x):
    if isinstance(x, afnumpy.ndarray):
        s = arrayfire.tanh(x.d_array)
        return afnumpy.ndarray(x.shape,
                               dtype=pu.typemap(s.dtype()),
                               af_array=s)
    else:
        return numpy.tanh(x)

Beispiel #5

Datei: coords_2.py Projekt: mchandra/Bolt

def get_cartesian_coords(q1, q2):

    #x = q1
    #y = q2*(1 + q1)
    weight = 0.5 * (1 + af.tanh(q2))

    #x = (1. - weight)*q1 + weight*q1*(1 - 0.5*q2)
    x = q1 * (1 - 0.5 * q2)
    #x = q1*(2 + q2)
    y = q2

    return (x, y)

Beispiel #6

Datei: coords_1.py Projekt: mchandra/Bolt

def get_cartesian_coords(q1, q2):

    weight = 0.5 * (1 + af.tanh(10 * q2))

    x = q1  #(1. - weight)*q1 + weight*q1*(1 - 0.5*q2)
    #x = q1*(2 + q2)
    y = q2
    #a = 0.125; k = 2*np.pi
    #x = q1 + a*af.cos(k*q2)
    #y = q2 - a*af.sin(k*q1)

    return (x, y)

Beispiel #7

Datei: arith.py Projekt: syurkevi/arrayfire-python

def simple_arith(verbose = False):
    display_func = _util.display_func(verbose)
    print_func   = _util.print_func(verbose)

    a = af.randu(3,3,dtype=af.Dtype.u32)
    b = af.constant(4, 3, 3, dtype=af.Dtype.u32)
    display_func(a)
    display_func(b)

    c = a + b
    d = a
    d += b

    display_func(c)
    display_func(d)
    display_func(a + 2)
    display_func(3 + a)


    c = a - b
    d = a
    d -= b

    display_func(c)
    display_func(d)
    display_func(a - 2)
    display_func(3 - a)

    c = a * b
    d = a
    d *= b

    display_func(c * 2)
    display_func(3 * d)
    display_func(a * 2)
    display_func(3 * a)

    c = a / b
    d = a
    d /= b

    display_func(c / 2.0)
    display_func(3.0 / d)
    display_func(a / 2)
    display_func(3 / a)

    c = a % b
    d = a
    d %= b

    display_func(c % 2.0)
    display_func(3.0 % d)
    display_func(a % 2)
    display_func(3 % a)

    c = a ** b
    d = a
    d **= b

    display_func(c ** 2.0)
    display_func(3.0 ** d)
    display_func(a ** 2)
    display_func(3 ** a)

    display_func(a < b)
    display_func(a < 0.5)
    display_func(0.5 < a)

    display_func(a <= b)
    display_func(a <= 0.5)
    display_func(0.5 <= a)

    display_func(a > b)
    display_func(a > 0.5)
    display_func(0.5 > a)

    display_func(a >= b)
    display_func(a >= 0.5)
    display_func(0.5 >= a)

    display_func(a != b)
    display_func(a != 0.5)
    display_func(0.5 != a)

    display_func(a == b)
    display_func(a == 0.5)
    display_func(0.5 == a)

    display_func(a & b)
    display_func(a & 2)
    c = a
    c &= 2
    display_func(c)

    display_func(a | b)
    display_func(a | 2)
    c = a
    c |= 2
    display_func(c)

    display_func(a >> b)
    display_func(a >> 2)
    c = a
    c >>= 2
    display_func(c)

    display_func(a << b)
    display_func(a << 2)
    c = a
    c <<= 2
    display_func(c)

    display_func(-a)
    display_func(+a)
    display_func(~a)
    display_func(a)

    display_func(af.cast(a, af.Dtype.c32))
    display_func(af.maxof(a,b))
    display_func(af.minof(a,b))
    display_func(af.rem(a,b))

    a = af.randu(3,3) - 0.5
    b = af.randu(3,3) - 0.5

    display_func(af.abs(a))
    display_func(af.arg(a))
    display_func(af.sign(a))
    display_func(af.round(a))
    display_func(af.trunc(a))
    display_func(af.floor(a))
    display_func(af.ceil(a))
    display_func(af.hypot(a, b))
    display_func(af.sin(a))
    display_func(af.cos(a))
    display_func(af.tan(a))
    display_func(af.asin(a))
    display_func(af.acos(a))
    display_func(af.atan(a))
    display_func(af.atan2(a, b))

    c = af.cplx(a)
    d = af.cplx(a,b)
    display_func(c)
    display_func(d)
    display_func(af.real(d))
    display_func(af.imag(d))
    display_func(af.conjg(d))

    display_func(af.sinh(a))
    display_func(af.cosh(a))
    display_func(af.tanh(a))
    display_func(af.asinh(a))
    display_func(af.acosh(a))
    display_func(af.atanh(a))

    a = af.abs(a)
    b = af.abs(b)

    display_func(af.root(a, b))
    display_func(af.pow(a, b))
    display_func(af.pow2(a))
    display_func(af.exp(a))
    display_func(af.expm1(a))
    display_func(af.erf(a))
    display_func(af.erfc(a))
    display_func(af.log(a))
    display_func(af.log1p(a))
    display_func(af.log10(a))
    display_func(af.log2(a))
    display_func(af.sqrt(a))
    display_func(af.cbrt(a))

    a = af.round(5 * af.randu(3,3) - 1)
    b = af.round(5 * af.randu(3,3) - 1)

    display_func(af.factorial(a))
    display_func(af.tgamma(a))
    display_func(af.lgamma(a))
    display_func(af.iszero(a))
    display_func(af.isinf(a/b))
    display_func(af.isnan(a/a))

    a = af.randu(5, 1)
    b = af.randu(1, 5)
    c = af.broadcast(lambda x,y: x+y, a, b)
    display_func(a)
    display_func(b)
    display_func(c)

    @af.broadcast
    def test_add(aa, bb):
        return aa + bb

    display_func(test_add(a, b))

Beispiel #8

def simple_arith(verbose=False):
    display_func = _util.display_func(verbose)
    print_func = _util.print_func(verbose)

    a = af.randu(3, 3)
    b = af.constant(4, 3, 3)
    display_func(a)
    display_func(b)

    c = a + b
    d = a
    d += b

    display_func(c)
    display_func(d)
    display_func(a + 2)
    display_func(3 + a)

    c = a - b
    d = a
    d -= b

    display_func(c)
    display_func(d)
    display_func(a - 2)
    display_func(3 - a)

    c = a * b
    d = a
    d *= b

    display_func(c * 2)
    display_func(3 * d)
    display_func(a * 2)
    display_func(3 * a)

    c = a / b
    d = a
    d /= b

    display_func(c / 2.0)
    display_func(3.0 / d)
    display_func(a / 2)
    display_func(3 / a)

    c = a % b
    d = a
    d %= b

    display_func(c % 2.0)
    display_func(3.0 % d)
    display_func(a % 2)
    display_func(3 % a)

    c = a**b
    d = a
    d **= b

    display_func(c**2.0)
    display_func(3.0**d)
    display_func(a**2)
    display_func(3**a)

    display_func(a < b)
    display_func(a < 0.5)
    display_func(0.5 < a)

    display_func(a <= b)
    display_func(a <= 0.5)
    display_func(0.5 <= a)

    display_func(a > b)
    display_func(a > 0.5)
    display_func(0.5 > a)

    display_func(a >= b)
    display_func(a >= 0.5)
    display_func(0.5 >= a)

    display_func(a != b)
    display_func(a != 0.5)
    display_func(0.5 != a)

    display_func(a == b)
    display_func(a == 0.5)
    display_func(0.5 == a)

    a = af.randu(3, 3, dtype=af.Dtype.u32)
    b = af.constant(4, 3, 3, dtype=af.Dtype.u32)

    display_func(a & b)
    display_func(a & 2)
    c = a
    c &= 2
    display_func(c)

    display_func(a | b)
    display_func(a | 2)
    c = a
    c |= 2
    display_func(c)

    display_func(a >> b)
    display_func(a >> 2)
    c = a
    c >>= 2
    display_func(c)

    display_func(a << b)
    display_func(a << 2)
    c = a
    c <<= 2
    display_func(c)

    display_func(-a)
    display_func(+a)
    display_func(~a)
    display_func(a)

    display_func(af.cast(a, af.Dtype.c32))
    display_func(af.maxof(a, b))
    display_func(af.minof(a, b))
    display_func(af.rem(a, b))

    a = af.randu(3, 3) - 0.5
    b = af.randu(3, 3) - 0.5

    display_func(af.abs(a))
    display_func(af.arg(a))
    display_func(af.sign(a))
    display_func(af.round(a))
    display_func(af.trunc(a))
    display_func(af.floor(a))
    display_func(af.ceil(a))
    display_func(af.hypot(a, b))
    display_func(af.sin(a))
    display_func(af.cos(a))
    display_func(af.tan(a))
    display_func(af.asin(a))
    display_func(af.acos(a))
    display_func(af.atan(a))
    display_func(af.atan2(a, b))

    c = af.cplx(a)
    d = af.cplx(a, b)
    display_func(c)
    display_func(d)
    display_func(af.real(d))
    display_func(af.imag(d))
    display_func(af.conjg(d))

    display_func(af.sinh(a))
    display_func(af.cosh(a))
    display_func(af.tanh(a))
    display_func(af.asinh(a))
    display_func(af.acosh(a))
    display_func(af.atanh(a))

    a = af.abs(a)
    b = af.abs(b)

    display_func(af.root(a, b))
    display_func(af.pow(a, b))
    display_func(af.pow2(a))
    display_func(af.sigmoid(a))
    display_func(af.exp(a))
    display_func(af.expm1(a))
    display_func(af.erf(a))
    display_func(af.erfc(a))
    display_func(af.log(a))
    display_func(af.log1p(a))
    display_func(af.log10(a))
    display_func(af.log2(a))
    display_func(af.sqrt(a))
    display_func(af.cbrt(a))

    a = af.round(5 * af.randu(3, 3) - 1)
    b = af.round(5 * af.randu(3, 3) - 1)

    display_func(af.factorial(a))
    display_func(af.tgamma(a))
    display_func(af.lgamma(a))
    display_func(af.iszero(a))
    display_func(af.isinf(a / b))
    display_func(af.isnan(a / a))

    a = af.randu(5, 1)
    b = af.randu(1, 5)
    c = af.broadcast(lambda x, y: x + y, a, b)
    display_func(a)
    display_func(b)
    display_func(c)

    @af.broadcast
    def test_add(aa, bb):
        return aa + bb

    display_func(test_add(a, b))

Beispiel #9

Datei: scimath.py Projekt: Brainiarc7/afnumpy

def tanh(x):
    if isinstance(x, afnumpy.ndarray):
        s = arrayfire.tanh(x.d_array)
        return afnumpy.ndarray(x.shape, dtype=pu.typemap(s.dtype()), af_array=s)
    else:
        return numpy.tanh(x)

Beispiel #10

af.display(af.asin(a))
af.display(af.acos(a))
af.display(af.atan(a))
af.display(af.atan2(a, b))

c = af.cplx(a)
d = af.cplx(a, b)
af.display(c)
af.display(d)
af.display(af.real(d))
af.display(af.imag(d))
af.display(af.conjg(d))

af.display(af.sinh(a))
af.display(af.cosh(a))
af.display(af.tanh(a))
af.display(af.asinh(a))
af.display(af.acosh(a))
af.display(af.atanh(a))

a = af.abs(a)
b = af.abs(b)

af.display(af.root(a, b))
af.display(af.pow(a, b))
af.display(af.pow2(a))
af.display(af.exp(a))
af.display(af.expm1(a))
af.display(af.erf(a))
af.display(af.erfc(a))
af.display(af.log(a))

Beispiel #11

Datei: nn_arrayFire.py Projekt: lhd231/Distributive_Neural_Net

def _tanh(x): 
	
	return af.tanh(x)

Beispiel #12

def _tanh(x):

    return af.tanh(x)

Beispiel #13

Datei: simple_arith.py Projekt: PierreBizouard/arrayfire-python

af.display(af.asin(a))
af.display(af.acos(a))
af.display(af.atan(a))
af.display(af.atan2(a, b))

c = af.cplx(a)
d = af.cplx(a,b)
af.display(c)
af.display(d)
af.display(af.real(d))
af.display(af.imag(d))
af.display(af.conjg(d))

af.display(af.sinh(a))
af.display(af.cosh(a))
af.display(af.tanh(a))
af.display(af.asinh(a))
af.display(af.acosh(a))
af.display(af.atanh(a))

a = af.abs(a)
b = af.abs(b)

af.display(af.root(a, b))
af.display(af.pow(a, b))
af.display(af.pow2(a))
af.display(af.exp(a))
af.display(af.expm1(a))
af.display(af.erf(a))
af.display(af.erfc(a))
af.display(af.log(a))