Ejemplo n.º 1
0
import ocean

device = ocean.gpu[0]
dtypes = [ocean.bool, ocean.int8, ocean.uint8, ocean.uint32]

for dtype in dtypes:
    print("\n========= Tensor %s (%s) =========" % (dtype.name, device.name))
    a = ocean.asTensor([0, 1, 2, 9], 'r', dtype, device)
    b = ocean.asTensor([0, 1, 2, 4, 6, 8], ocean.uint8, device)
    r = ocean.tensor([6, 4], dtype, device)
    print(a)
    print(b)
    print(a << b)
    ocean.bitshiftLeft(a, b, r)
    print(r)
    a <<= 1
    print(a)
Ejemplo n.º 2
0
import ocean

a = ocean.arange(9, ocean.cfloat, ocean.gpu[0]).reshape([3, 3])
b = ocean.arange(9, ocean.cfloat, ocean.gpu[0]).reshape([3, 3])

print(a)

alpha = ocean.asTensor([1.0, 2j, 1 + 2j], ocean.chalf,
                       ocean.gpu[0]).reshape([1, 1, 3])
print(alpha)

print(ocean.gemm(alpha, a, b))
Ejemplo n.º 3
0
import ocean

a = ocean.asTensor([1, 1, 1, 1, 0, 1], ocean.gpu[0])
print(ocean.all(a))
Ejemplo n.º 4
0
import ocean
import sys

def exceptionMsg() :
   print("Expected error: %s" % str(sys.exc_info()[1]))

def failTest(command) :
   try :
      eval(command)
   except :
      exceptionMsg()

A = ocean.asTensor([[1+2j,3+1j],[1,2+2j]],ocean.gpu[0])
print(A)
print(ocean.maximumAbs(A))

failTest("ocean.maximumAbs([[]])")

Ejemplo n.º 5
0
import ocean

device = ocean.gpu[0]

dtypes = [ocean.int8, ocean.int16, ocean.float, ocean.chalf, ocean.cdouble]
otypes = [ocean.float, ocean.uint8, ocean.double, ocean.int32, ocean.chalf]

print("\n========= fabs =========")

for (dtype, otype) in zip(dtypes, otypes):
    a = ocean.asTensor([-3 - 4j], dtype, device)
    b = ocean.tensor([1], otype, device)
    ocean.fabs(a, b)
    print(b)

print("\n========= absolute =========")
for (dtype, otype) in zip(dtypes, otypes):
    a = ocean.asTensor([-3 - 4j], dtype, device)
    b = ocean.tensor([1], otype, device)
    ocean.absolute(a, b)
    print(b)
Ejemplo n.º 6
0
import ocean

# Use GPU tensor to index CPU tensor
v = ocean.gpu[0]([1, 2, 3])
idx = ocean.index[v]
a = ocean.asTensor([5, 6, 7, 8, 9], ocean.double)
print(a[idx])
print(a[v])

# Use byte-swapped CPU tensor to index GPU tensor
a = ocean.asTensor([1, 2, 8], ocean.int32)
a.byteswap()
print(a)
v = ocean.arange(10, ocean.int16, ocean.gpu[0])
idx = ocean.index[a]
Ejemplo n.º 7
0
import ocean

a = ocean.asTensor([[0,1,2,3],[4,5,6,7],[8,9,10,11]], ocean.float, ocean.gpu[0])
b = ocean.asTensor([[12,13,14,15],[16,17,18,19],[20,21,22,23]], ocean.float, ocean.gpu[1])
print(a)
print(b)

b.flipAxis(1,True)
print(b)

a.copy(b)
print(a.flipAxis(0))
Ejemplo n.º 8
0
import ocean

print(ocean.sumAbs(ocean.gpu[0]([1, -2, 3])))

for dtype in [ocean.int8, ocean.int16, ocean.half, ocean.chalf, ocean.cdouble]:
    a = ocean.asTensor([1, -2, 5], dtype, ocean.gpu[0])
    print(ocean.sumAbs(a))
Ejemplo n.º 9
0
import ocean

device = ocean.gpu[0]

print("\n========= Tensor and tensor =========")

dtypes = [ocean.int8, ocean.int32, ocean.float, ocean.cfloat];

for dtype in dtypes :
   print("\n------ %s (%s) ------" % (dtype.name, device.name))
   print(ocean.asTensor([1,2,3,4],'r',dtype,device) ** [0,1,2])
   print(device([1,2,3]) ** ocean.asTensor([1,2,3,4],'r',dtype,device))
   print(ocean.asTensor([1,2,3,4],'r',dtype,device) ** [0,0.5,1])
   print(device([1.0,2.0,3.0]) ** ocean.asTensor([1,2,3,4],'r',dtype,device))

Ejemplo n.º 10
0
import ocean

device = ocean.gpu[0]

dtypes = [ocean.bool, ocean.int8, ocean.uint8, ocean.int32]
v1 = [0, 2, 3, 7, 127]
v2 = [0, 1, 2, 4, 8, 15]

for dtype in dtypes:
    print("\n========= Tensor %s (%s) =========" % (dtype.name, device.name))
    a1 = ocean.asTensor(v1, 'r', dtype, device)
    a2 = ocean.asTensor(v2, dtype, device).reshape([len(v2), 1])
    r = ocean.tensor([len(v2), len(v1)], dtype, device)
    print(a1)
    print(a2)
    print("\n------ bitwiseOr(a1,a2), (a1 | a2), bitwiseOr(a1,a2,r) ------")
    print(ocean.bitwiseOr(a1, a2))
    print(a1 | a2)
    ocean.bitwiseOr(a1, a2, r)
    print(r)
import ocean
import numpy
import ocean_numpy

a = ocean.arange(64 * 65, ocean.double, ocean.gpu[0]).reshape(64, 65).T
b = a.convertTo('numpy')
print(a)

print(ocean.norm(a, 2, 0))
print(
    ocean.asTensor(
        [float(numpy.linalg.norm(b[:, i], 2)) for i in range(b.shape[1])]))

print(ocean.norm(a, 2, 1))
print(
    ocean.asTensor(
        [float(numpy.linalg.norm(b[i, :], 2)) for i in range(b.shape[0])]))

print(ocean.norm(a, 2, [0, 1]))
print(numpy.linalg.norm(range(64 * 65), 2))
Ejemplo n.º 12
0
import ocean

for device in [ocean.cpu, ocean.gpu[0]]:
    print("\n# Boolean on %s" % (device.name))
    a = ocean.asTensor([True, True, False], device)
    print(a)
    print(a / True)
    a /= [True, False, True]
    print(a)

    print("\n# Integer on %s" % (device.name))
    a = ocean.asTensor([-10, -5, 0, 4, 6], ocean.int8, device)
    print(a)
    print(a / 3)
    a /= 3
    print(a)

    print("\n# Float on %s" % (device.name))
    a = ocean.asTensor([-10, -5, 0, 4, 6], ocean.float, device)
    print(a)
    print(a / 3.0)
    a /= 3
    print(a)
Ejemplo n.º 13
0
import ocean

device = ocean.gpu[0]
dtypes = [ocean.int8, ocean.uint8, ocean.int32, ocean.float, ocean.chalf, ocean.cfloat]
values = [-1,0,1,1+2j,0+2j, 0-2j, 0+0j]

for dtype in dtypes :
   print("\n========= Tensor %s =========" % dtype.name)
   a = ocean.asTensor(values,dtype,device)
   b = ocean.tensor(len(values),ocean.int8,device)
   print(a)
   print(ocean.sign(a))
   ocean.sign(a,b)
   print(b)



Ejemplo n.º 14
0
def exceptionMsg():
    print("Expected error: %s" % str(sys.exc_info()[1]))


def failTest(command):
    try:
        eval(command)
    except:
        exceptionMsg()


device = ocean.gpu[0]

print("\n========= Tensor and tensor =========")

a = ocean.asTensor([1, 2, 3, 4], 'r', ocean.float, device)
b = ocean.asTensor([0, 0.5, 1, 2], ocean.float, device)

print(a**b)
print(pow(a, b))
print(ocean.power(a, b))

c = ocean.tensor([4, 4], ocean.float, device)
ocean.power(a, b, c)
print(c)

c = ocean.tensor([4, 4], ocean.cdouble, device)
ocean.power(a, b, c)
print(c)

c = ocean.tensor([4, 4], ocean.int16, device)
Ejemplo n.º 15
0
import ocean

device = ocean.gpu[0]

dtypes = [ocean.bool, ocean.int32, ocean.uint32, ocean.float, ocean.cfloat]

for dtype in dtypes :
   print("\n========= Tensor %s (%s) =========" % (dtype.name, device.name))
   a1 = ocean.asTensor([0,0,1,1],dtype,device)
   a2 = ocean.asTensor([0,1,0,1],dtype,device)
   r1 = ocean.tensor([4],ocean.bool,device)
   r2 = ocean.tensor([4],ocean.int16,ocean.cpu)
   r2.byteswap()

   print(a1)
   print(a2)

   print("\n------ Logical AND ------")
   ocean.logicalAnd(a1,a2,r1)
   ocean.logicalAnd(a1,a2,r2)
   print(ocean.logicalAnd(a1,a2))
   print(r1)
   print(r2)

   print("\n------ Logical OR ------")
   ocean.logicalOr(a1,a2,r1)
   ocean.logicalOr(a1,a2,r2)
   print(ocean.logicalOr(a1,a2))
   print(r1)
   print(r2)
Ejemplo n.º 16
0
import ocean

device = ocean.gpu[0]
dtypes = [ocean.bool, ocean.int8, ocean.uint8]

for dtype in dtypes:
    print("\n========= Tensor %s (%s) =========" % (dtype.name, device.name))
    a = ocean.asTensor([0, 1, -1], dtype, device)
    print(a)
    print(ocean.bitwiseNot(a))
    print(~a)
    print(ocean.logicalNot(a))

    r = ocean.tensor(3, dtype, device)
    ocean.bitwiseNot(a, r)
    print(r)
    ocean.logicalNot(a, r)
    print(r)
Ejemplo n.º 17
0
import ocean

t = ocean.tensor([2, 3], [0, 1], ocean.float)
t.copy(ocean.asTensor([[1, 2, 3]], 'r'))

print(t)
print(t.storage)
print(t.strides)

print("\nClone")
a = t.clone(ocean.gpu[0])
print(a.storage)
print(a.strides)

print("\nReplicate")
b = t.replicate(ocean.gpu[0])
print(b.storage)
print(b.strides)
Ejemplo n.º 18
0
import ocean

for device in [ocean.cpu, ocean.gpu[0]]:
    print("\n# Boolean on %s" % (device.name))
    a = ocean.asTensor([True, True, False], device)
    print(a)
    print(a * True)
    print(ocean.scale(a, [True, False, True]))
    a *= [True, False, True]
    print(a)

    print("\n# Integer on %s" % (device.name))
    a = ocean.asTensor([-2, -1, 0, 1, 2], ocean.int8, device)
    print(a)
    print(a * 3)
    a *= 3
    print(a)

    print("\n# Float on %s" % (device.name))
    a = ocean.asTensor([-2, -1, 0, 1, 2], ocean.float, device)
    print(a)
    print(a * 3.0)
    a *= 3
    print(a)
import ocean

A = ocean.asTensor([1, 2, 3], ocean.float, ocean.gpu[0])
print(ocean.int8(A))
print(ocean.cdouble(A.storage))
print(ocean.half([[1, 2, 3], [4, 5, 6.]]))
print(ocean.float(1.2))
Ejemplo n.º 20
0
import ocean

device = ocean.gpu[0]

print("\n========= Scalar and tensor =========")

dtypes = [ocean.int8, ocean.int32, ocean.float, ocean.cfloat]

for dtype in dtypes:
    print("\n------ %s (%s) ------" % (dtype.name, device.name))
    print(ocean.asTensor([1, 2, 3, 4], dtype, device)**2)
    print(2**ocean.asTensor([1, 2, 3, 4], dtype, device))
    print(ocean.asTensor([1, 2, 3, 4], dtype, device)**0.5)
    print(2.0**ocean.asTensor([1, 2, 3, 4], dtype, device))
Ejemplo n.º 21
0
import ocean

a = ocean.asTensor([1, 2, 3])

v = a.clone([ocean.cpu, ocean.gpu[0]])
for tensor in v:
    print(tensor)
Ejemplo n.º 22
0
import ocean

device = ocean.gpu[0]

v1 = [1, 2, 3, 1, ocean.nan, 2 + 3j, 4 - 5j]
v2 = [3, 2, 1, 1, 1, 2 + 2j, 4 - 6j]

dtypes = [ocean.int8, ocean.uint8, ocean.float, ocean.chalf, ocean.cdouble]

for dtype in dtypes:
    print("\n========= %s (%s) =========" % (dtype.name, device.name))
    a1 = ocean.asTensor(v1, dtype, device)
    a2 = ocean.asTensor(v2, dtype, device)
    r1 = ocean.tensor([len(v1)], dtype, device)
    r2 = ocean.tensor([len(v1)], ocean.cfloat, device)
    print(a1)
    print(a2)
    print("\n------ min(a1,a2), min(a2,a1), max(a1,a2) ------")
    print(ocean.min(a1, a2))
    print(ocean.min(a2, a1))
    print(ocean.max(a1, a2))

    print("\n------ fmin(a1,a2), fmin(a2,a1), fmax(a1,a2) ------")
    print(ocean.fmin(a1, a2))
    print(ocean.fmin(a2, a1))
    print(ocean.fmax(a1, a2))

    print("\n------ fmin(a1,a2,r1), fmin(a1,a2,r2) ------")
    ocean.fmin(a1, a2, r1)
    ocean.fmin(a1, a2, r2)
    print(r1)
Ejemplo n.º 23
0
import ocean
a = ocean.asTensor([ocean.nan, 3, 4, ocean.nan], ocean.float, ocean.gpu[0])
a.fillNaN(ocean.inf)
print(a)